A B C D E F G H I J K L M N O P Q R S T U V W Z
All Classes All Packages

A

aarstAndVanLaarhoven(double) - Static method in interface org.apache.commons.math4.legacy.optim.nonlinear.scalar.SimulatedAnnealing.CoolingSchedule

Aarst and van Laarhoven (1985) scheme: \[ T_{i + 1} = \frac{T_{i}}{1 + \frac{T_i \ln(1 + \delta)}{3 \sigma}} \]

ABOVE_SIDE - org.apache.commons.math4.legacy.analysis.solvers.AllowedSolution

Only solutions for which values are greater than or equal to zero are acceptable as solutions for root-finding.

abs() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

absolute value.

abs() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

absolute value.

abs() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Get the absolute value of instance.

abs() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

absolute value.

abs(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Absolute value.

abs(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

abs(float) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Absolute value.

abs(float) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

abs(int) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Absolute value.

abs(int) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

abs(long) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Absolute value.

abs(long) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

Abs - Class in org.apache.commons.math4.legacy.analysis.function

Absolute value function.

Abs() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Abs

AbstractConvergenceChecker<PAIR> - Class in org.apache.commons.math4.legacy.optim

Base class for all convergence checker implementations.

AbstractConvergenceChecker(double, double) - Constructor for class org.apache.commons.math4.legacy.optim.AbstractConvergenceChecker

Build an instance with a specified thresholds.

AbstractCurveFitter - Class in org.apache.commons.math4.legacy.fitting

Base class that contains common code for fitting parametric univariate real functions y = f(pi;x), where x is the independent variable and the pi are the parameters.

AbstractCurveFitter() - Constructor for class org.apache.commons.math4.legacy.fitting.AbstractCurveFitter

AbstractCurveFitter.TheoreticalValuesFunction - Class in org.apache.commons.math4.legacy.fitting

Vector function for computing function theoretical values.

AbstractEvaluation - Class in org.apache.commons.math4.legacy.fitting.leastsquares

An implementation of LeastSquaresProblem.Evaluation that is designed for extension.

AbstractFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode

Base class managing common boilerplate for all integrators.

AbstractFieldIntegrator(Field<T>, String) - Constructor for class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Build an instance.

AbstractFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math4.legacy.linear

Basic implementation of FieldMatrix methods regardless of the underlying storage.

AbstractFieldMatrix() - Constructor for class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Constructor for use with Serializable.

AbstractFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Creates a matrix with no data.

AbstractFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Create a new FieldMatrix<T> with the supplied row and column dimensions.

AbstractFieldStepInterpolator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode.sampling

This abstract class represents an interpolator over the last step during an ODE integration.

AbstractFieldStepInterpolator(boolean, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Constructor for class org.apache.commons.math4.legacy.ode.sampling.AbstractFieldStepInterpolator

Simple constructor.

AbstractIntegerDistribution - Class in org.apache.commons.math4.legacy.distribution

Base class for integer-valued discrete distributions.

AbstractIntegerDistribution() - Constructor for class org.apache.commons.math4.legacy.distribution.AbstractIntegerDistribution

AbstractIntegrator - Class in org.apache.commons.math4.legacy.ode

Base class managing common boilerplate for all integrators.

AbstractIntegrator() - Constructor for class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Build an instance with a null name.

AbstractIntegrator(String) - Constructor for class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Build an instance.

AbstractListChromosome<T> - Class in org.apache.commons.math4.legacy.genetics

Chromosome represented by an immutable list of a fixed length.

AbstractListChromosome(List<T>) - Constructor for class org.apache.commons.math4.legacy.genetics.AbstractListChromosome

Constructor, copying the input representation.

AbstractListChromosome(List<T>, boolean) - Constructor for class org.apache.commons.math4.legacy.genetics.AbstractListChromosome

Constructor.

AbstractListChromosome(T[]) - Constructor for class org.apache.commons.math4.legacy.genetics.AbstractListChromosome

Constructor, copying the input representation.

AbstractMultipleLinearRegression - Class in org.apache.commons.math4.legacy.stat.regression

Abstract base class for implementations of MultipleLinearRegression.

AbstractMultipleLinearRegression() - Constructor for class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

AbstractMultivariateRealDistribution - Class in org.apache.commons.math4.legacy.distribution

Base class for multivariate probability distributions.

AbstractMultivariateRealDistribution(int) - Constructor for class org.apache.commons.math4.legacy.distribution.AbstractMultivariateRealDistribution

AbstractOptimizationProblem<PAIR> - Class in org.apache.commons.math4.legacy.optim

Base class for implementing optimization problems.

AbstractOptimizationProblem(int, int, ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math4.legacy.optim.AbstractOptimizationProblem

Create an AbstractOptimizationProblem from the given data.

AbstractParameterizable - Class in org.apache.commons.math4.legacy.ode

This abstract class provides boilerplate parameters list.

AbstractParameterizable(String...) - Constructor for class org.apache.commons.math4.legacy.ode.AbstractParameterizable

Simple constructor.

AbstractParameterizable(Collection<String>) - Constructor for class org.apache.commons.math4.legacy.ode.AbstractParameterizable

Simple constructor.

AbstractPolynomialSolver - Class in org.apache.commons.math4.legacy.analysis.solvers

Base class for solvers.

AbstractPolynomialSolver(double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.AbstractPolynomialSolver

Construct a solver with given absolute accuracy.

AbstractPolynomialSolver(double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.AbstractPolynomialSolver

Construct a solver with given accuracies.

AbstractPolynomialSolver(double, double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.AbstractPolynomialSolver

Construct a solver with given accuracies.

AbstractRealDistribution - Class in org.apache.commons.math4.legacy.distribution

Base class for probability distributions on the reals.

AbstractRealDistribution() - Constructor for class org.apache.commons.math4.legacy.distribution.AbstractRealDistribution

AbstractRealMatrix - Class in org.apache.commons.math4.legacy.linear

Basic implementation of RealMatrix methods regardless of the underlying storage.

AbstractRealMatrix() - Constructor for class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Creates a matrix with no data.

AbstractRealMatrix(int, int) - Constructor for class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Create a new RealMatrix with the supplied row and column dimensions.

AbstractStepInterpolator - Class in org.apache.commons.math4.legacy.ode.sampling

This abstract class represents an interpolator over the last step during an ODE integration.

AbstractStepInterpolator() - Constructor for class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Simple constructor.

AbstractStepInterpolator(double[], boolean, EquationsMapper, EquationsMapper[]) - Constructor for class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Simple constructor.

AbstractStepInterpolator(AbstractStepInterpolator) - Constructor for class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Copy constructor.

AbstractStorelessUnivariateStatistic - Class in org.apache.commons.math4.legacy.stat.descriptive

Abstract base class for implementations of the StorelessUnivariateStatistic interface.

AbstractStorelessUnivariateStatistic() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.AbstractStorelessUnivariateStatistic

AbstractUnivariateDifferentiableSolver - Class in org.apache.commons.math4.legacy.analysis.solvers

Provide a default implementation for several functions useful to generic solvers.

AbstractUnivariateDifferentiableSolver(double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.AbstractUnivariateDifferentiableSolver

Construct a solver with given absolute accuracy.

AbstractUnivariateDifferentiableSolver(double, double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.AbstractUnivariateDifferentiableSolver

Construct a solver with given accuracies.

AbstractUnivariateSolver - Class in org.apache.commons.math4.legacy.analysis.solvers

Base class for solvers.

AbstractUnivariateSolver(double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.AbstractUnivariateSolver

Construct a solver with given absolute accuracy.

AbstractUnivariateSolver(double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.AbstractUnivariateSolver

Construct a solver with given accuracies.

AbstractUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.AbstractUnivariateSolver

Construct a solver with given accuracies.

AbstractUnivariateStatistic - Class in org.apache.commons.math4.legacy.stat.descriptive

Abstract base class for implementations of the UnivariateStatistic interface.

AbstractUnivariateStatistic() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.AbstractUnivariateStatistic

acceptStep(AbstractFieldStepInterpolator<T>, T) - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Accept a step, triggering events and step handlers.

acceptStep(AbstractStepInterpolator, double[], double[], double) - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Accept a step, triggering events and step handlers.

AccurateMath - Class in org.apache.commons.math4.core.jdkmath

Portable alternative to Math and StrictMath.

acos() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Arc cosine operation.

acos() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Arc cosine operation.

acos() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Arc cosine operation.

acos() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Arc cosine operation.

acos(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the arc cosine of a number.

acos(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

acos(double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute arc cosine of a derivative structure.

acos(Dfp) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

computes the arc-cosine of the argument.

Acos - Class in org.apache.commons.math4.legacy.analysis.function

Arc-cosine function.

Acos() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Acos

acosh() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Inverse hyperbolic cosine operation.

acosh() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Inverse hyperbolic cosine operation.

acosh() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Inverse hyperbolic cosine operation.

acosh() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Inverse hyperbolic cosine operation.

acosh(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the inverse hyperbolic cosine of a number.

acosh(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

acosh(double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute inverse hyperbolic cosine of a derivative structure.

Acosh - Class in org.apache.commons.math4.legacy.analysis.function

Hyperbolic arc-cosine function.

Acosh() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Acosh

Action - Enum in org.apache.commons.math4.legacy.ode.events

Enumerate for actions to be performed when an event occurs during ODE integration.

AdamsBashforthFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations.

AdamsBashforthFieldIntegrator(Field<T>, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.AdamsBashforthFieldIntegrator

Build an Adams-Bashforth integrator with the given order and step control parameters.

AdamsBashforthFieldIntegrator(Field<T>, int, double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.AdamsBashforthFieldIntegrator

Build an Adams-Bashforth integrator with the given order and step control parameters.

AdamsBashforthIntegrator - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations.

AdamsBashforthIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.AdamsBashforthIntegrator

Build an Adams-Bashforth integrator with the given order and step control parameters.

AdamsBashforthIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.AdamsBashforthIntegrator

Build an Adams-Bashforth integrator with the given order and step control parameters.

AdamsFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode.nonstiff

Base class for Adams-Bashforth and Adams-Moulton integrators.

AdamsFieldIntegrator(Field<T>, String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.AdamsFieldIntegrator

Build an Adams integrator with the given order and step control parameters.

AdamsFieldIntegrator(Field<T>, String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.AdamsFieldIntegrator

Build an Adams integrator with the given order and step control parameters.

AdamsIntegrator - Class in org.apache.commons.math4.legacy.ode.nonstiff

Base class for Adams-Bashforth and Adams-Moulton integrators.

AdamsIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.AdamsIntegrator

Build an Adams integrator with the given order and step control parameters.

AdamsIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.AdamsIntegrator

Build an Adams integrator with the given order and step control parameters.

AdamsMoultonFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations.

AdamsMoultonFieldIntegrator(Field<T>, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.AdamsMoultonFieldIntegrator

Build an Adams-Moulton integrator with the given order and error control parameters.

AdamsMoultonFieldIntegrator(Field<T>, int, double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.AdamsMoultonFieldIntegrator

Build an Adams-Moulton integrator with the given order and error control parameters.

AdamsMoultonIntegrator - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations.

AdamsMoultonIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.AdamsMoultonIntegrator

Build an Adams-Moulton integrator with the given order and error control parameters.

AdamsMoultonIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.AdamsMoultonIntegrator

Build an Adams-Moulton integrator with the given order and error control parameters.

AdamsNordsieckFieldTransformer<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode.nonstiff

Transformer to Nordsieck vectors for Adams integrators.

AdamsNordsieckTransformer - Class in org.apache.commons.math4.legacy.ode.nonstiff

Transformer to Nordsieck vectors for Adams integrators.

AdaptiveStepsizeFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode.nonstiff

This abstract class holds the common part of all adaptive stepsize integrators for Ordinary Differential Equations.

AdaptiveStepsizeFieldIntegrator(Field<T>, String, double, double, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeFieldIntegrator

Build an integrator with the given stepsize bounds.

AdaptiveStepsizeFieldIntegrator(Field<T>, String, double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeFieldIntegrator

Build an integrator with the given stepsize bounds.

AdaptiveStepsizeIntegrator - Class in org.apache.commons.math4.legacy.ode.nonstiff

This abstract class holds the common part of all adaptive stepsize integrators for Ordinary Differential Equations.

AdaptiveStepsizeIntegrator(String, double, double, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeIntegrator

Build an integrator with the given stepsize bounds.

AdaptiveStepsizeIntegrator(String, double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeIntegrator

Build an integrator with the given stepsize bounds.

add(double) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

'+' operator.

add(double) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

'+' operator.

add(double) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

'+' operator.

add(double) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

'+' operator.

add(double[], boolean) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.InterpolatingMicrosphere

Replace i-th facet of the microsphere.

add(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Perform addition of two derivative structures.

add(double, double) - Method in class org.apache.commons.math4.legacy.fitting.WeightedObservedPoints

Adds a point to the sample.

add(double, double, double) - Method in class org.apache.commons.math4.legacy.fitting.WeightedObservedPoints

Adds a point to the sample.

add(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Compute this + a.

add(SparseGradient) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Compute this + a.

add(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math4.legacy.analysis.FunctionUtils

Adds functions.

add(PolynomialFunction) - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunction

Add a polynomial to the instance.

add(UnivariateFunction...) - Static method in class org.apache.commons.math4.legacy.analysis.FunctionUtils

Adds functions.

add(Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Add x to this.

add(FieldDenseMatrix<T>) - Method in class org.apache.commons.math4.legacy.field.linalg.FieldDenseMatrix

Addition.

add(WeightedObservedPoint) - Method in class org.apache.commons.math4.legacy.fitting.WeightedObservedPoints

Adds a point to the sample.

add(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Add m to this matrix.

add(Array2DRowRealMatrix) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Compute the sum of this and m.

add(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Compute the sum of this and v.

add(BigReal) - Method in class org.apache.commons.math4.legacy.linear.BigReal

Compute this + a.

add(BlockFieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Compute the sum of this and m.

add(BlockRealMatrix) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Compute the sum of this matrix and m.

add(DiagonalMatrix) - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Compute the sum of this and m.

add(FieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Compute the sum of this and m.

add(FieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Compute the sum of this and m.

add(FieldMatrix<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Compute the sum of this and m.

add(FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Compute the sum of this and v.

add(FieldVector<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Compute the sum of this and v.

add(FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Compute the sum of this and v.

add(OpenMapRealMatrix) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealMatrix

Compute the sum of this matrix and m.

add(OpenMapRealVector) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Optimized method to add two OpenMapRealVectors.

add(RealMatrix) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Returns the sum of this and m.

add(RealMatrix) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Returns the sum of this and m.

add(RealMatrix) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Returns the sum of this and m.

add(RealVector) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Compute the sum of this vector and v.

add(RealVector) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Compute the sum of this vector and v.

add(RealVector) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Compute the sum of this vector and v.

add(SparseFieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Optimized method to add sparse vectors.

add(T) - Method in interface org.apache.commons.math4.legacy.core.FieldElement

Compute this + a.

Add - Class in org.apache.commons.math4.legacy.analysis.function

Add the two operands.

Add() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Add

addChromosome(Chromosome) - Method in class org.apache.commons.math4.legacy.genetics.ListPopulation

Add the given chromosome to the population.

addChromosome(Chromosome) - Method in interface org.apache.commons.math4.legacy.genetics.Population

Add the given chromosome to the population.

addChromosomes(Collection<Chromosome>) - Method in class org.apache.commons.math4.legacy.genetics.ListPopulation

Add a Collection of chromosomes to this Population.

addData(double[][]) - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Adds the observations represented by the elements in data.

addData(double, double) - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Adds the observation (x,y) to the regression data set.

addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Add an event handler to the integrator.

addEventHandler(EventHandler, double, double, int) - Method in interface org.apache.commons.math4.legacy.ode.ODEIntegrator

Add an event handler to the integrator.

addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Add an event handler to the integrator.

addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.GraggBulirschStoerIntegrator

Add an event handler to the integrator.

addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in interface org.apache.commons.math4.legacy.ode.ODEIntegrator

Add an event handler to the integrator.

addEventHandler(FieldEventHandler<T>, double, double, int) - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Add an event handler to the integrator.

addEventHandler(FieldEventHandler<T>, double, double, int) - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderFieldIntegrator

Add an event handler to the integrator.

addEventHandler(FieldEventHandler<T>, double, double, int, BracketedRealFieldUnivariateSolver<T>) - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Add an event handler to the integrator.

addEventHandler(FieldEventHandler<T>, double, double, int, BracketedRealFieldUnivariateSolver<T>) - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderFieldIntegrator

Add an event handler to the integrator.

addExact(int, int) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Add two numbers, detecting overflows.

addExact(int, int) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

addExact(long, long) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Add two numbers, detecting overflows.

addExact(long, long) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

addInPlace(SparseGradient) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Add in place.

addIterationListener(IterationListener) - Method in class org.apache.commons.math4.legacy.linear.IterationManager

Attaches a listener to this manager.

addLink(Neuron, Neuron) - Method in class org.apache.commons.math4.neuralnet.Network

Adds a link from neuron a to neuron b.

addMessage(Localizable, Object...) - Method in class org.apache.commons.math4.legacy.exception.util.ExceptionContext

Adds a message.

addObservation(double[], double) - Method in class org.apache.commons.math4.legacy.stat.regression.MillerUpdatingRegression

Adds an observation to the regression model.

addObservation(double[], double) - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Adds one observation to the regression model.

addObservation(double[], double) - Method in interface org.apache.commons.math4.legacy.stat.regression.UpdatingMultipleLinearRegression

Adds one observation to the regression model.

addObservations(double[][], double[]) - Method in class org.apache.commons.math4.legacy.stat.regression.MillerUpdatingRegression

Adds multiple observations to the model.

addObservations(double[][], double[]) - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Adds a series of observations to the regression model.

addObservations(double[][], double[]) - Method in interface org.apache.commons.math4.legacy.stat.regression.UpdatingMultipleLinearRegression

Adds a series of observations to the regression model.

addObserver(SimplexOptimizer.Observer) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.SimplexOptimizer

Register a callback.

addParameterJacobianProvider(ParameterJacobianProvider) - Method in class org.apache.commons.math4.legacy.ode.JacobianMatrices

Add a parameter Jacobian provider.

addPoint(T) - Method in class org.apache.commons.math4.legacy.ml.clustering.Cluster

Add a point to this cluster.

addRule(Pair<T[], T[]>) - Method in class org.apache.commons.math4.legacy.analysis.integration.gauss.BaseRuleFactory

Stores a rule.

addSamplePoint(double, double[]...) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.HermiteInterpolator

Add a sample point.

addSamplePoint(T, T[]...) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.FieldHermiteInterpolator

Add a sample point.

addSecondaryEquations(FieldSecondaryEquations<T>) - Method in class org.apache.commons.math4.legacy.ode.FieldExpandableODE

Add a set of secondary equations to be integrated along with the primary set.

addSecondaryEquations(SecondaryEquations) - Method in class org.apache.commons.math4.legacy.ode.ExpandableStatefulODE

Add a set of secondary equations to be integrated along with the primary set.

addStepHandler(FieldStepHandler<T>) - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Add a step handler to this integrator.

addStepHandler(FieldStepHandler<T>) - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderFieldIntegrator

Add a step handler to this integrator.

addStepHandler(StepHandler) - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Add a step handler to this integrator.

addStepHandler(StepHandler) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.GraggBulirschStoerIntegrator

Add a step handler to this integrator.

addStepHandler(StepHandler) - Method in interface org.apache.commons.math4.legacy.ode.ODEIntegrator

Add a step handler to this integrator.

addToEntry(int, double) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Change an entry at the specified index.

addToEntry(int, double) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Change an entry at the specified index.

addToEntry(int, int, double) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Adds (in place) the specified value to the specified entry of this matrix.

addToEntry(int, int, double) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Adds (in place) the specified value to the specified entry of this matrix.

addToEntry(int, int, double) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Adds (in place) the specified value to the specified entry of this matrix.

addToEntry(int, int, double) - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Adds (in place) the specified value to the specified entry of this matrix.

addToEntry(int, int, double) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealMatrix

Adds (in place) the specified value to the specified entry of this matrix.

addToEntry(int, int, double) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Adds (in place) the specified value to the specified entry of this matrix.

addToEntry(int, int, T) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Change an entry in the specified row and column.

addToEntry(int, int, T) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Change an entry in the specified row and column.

addToEntry(int, int, T) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Change an entry in the specified row and column.

addToEntry(int, int, T) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Change an entry in the specified row and column.

addToEntry(int, int, T) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldMatrix

Change an entry in the specified row and column.

addValue(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Adds the value to the dataset.

addValue(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Add a value to the data.

addValue(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedDescriptiveStatistics

Adds the value to the dataset.

addValue(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Add a value to the data.

addValue(double[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Add an n-tuple to the data.

addValue(double[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Add an n-tuple to the data.

addValue(T) - Method in class org.apache.commons.math4.legacy.stat.Frequency

Adds 1 to the frequency count for v.

advance(RealVector.Entry) - Method in class org.apache.commons.math4.legacy.linear.RealVector.SparseEntryIterator

Advance an entry up to the next nonzero one.

aggregate(Collection<? extends StatisticalSummary>) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.AggregateSummaryStatistics

Computes aggregate summary statistics.

AggregateSummaryStatistics - Class in org.apache.commons.math4.legacy.stat.descriptive

An aggregator for SummaryStatistics from several data sets or data set partitions.

AggregateSummaryStatistics() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.AggregateSummaryStatistics

Initializes a new AggregateSummaryStatistics with default statistics implementations.

AggregateSummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.AggregateSummaryStatistics

Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.

AggregateSummaryStatistics(SummaryStatistics, SummaryStatistics) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.AggregateSummaryStatistics

Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.

AgrestiCoullInterval - Class in org.apache.commons.math4.legacy.stat.interval

Implements the Agresti-Coull method for creating a binomial proportion confidence interval.

AgrestiCoullInterval() - Constructor for class org.apache.commons.math4.legacy.stat.interval.AgrestiCoullInterval

AkimaSplineInterpolator - Class in org.apache.commons.math4.legacy.analysis.interpolation

Computes a cubic spline interpolation for the data set using the Akima algorithm, as originally formulated by Hiroshi Akima in his 1970 paper "A New Method of Interpolation and Smooth Curve Fitting Based on Local Procedures." J.

AkimaSplineInterpolator() - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.AkimaSplineInterpolator

Uses the original Akima algorithm.

AkimaSplineInterpolator(boolean) - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.AkimaSplineInterpolator

align(int) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Make our exp equal to the supplied one, this may cause rounding.

AllowedSolution - Enum in org.apache.commons.math4.legacy.analysis.solvers

The kinds of solutions that a (bracketed univariate real) root-finding algorithm may accept as solutions.

alongAxes(double[]) - Static method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.Simplex

The start configuration for simplex is built from a box parallel to the canonical axes of the space.

AlternativeHypothesis - Enum in org.apache.commons.math4.legacy.stat.inference

Represents an alternative hypothesis for a hypothesis test.

anovaFValue(Collection<double[]>) - Method in class org.apache.commons.math4.legacy.stat.inference.OneWayAnova

Computes the ANOVA F-value for a collection of double[] arrays.

anovaPValue(Collection<double[]>) - Method in class org.apache.commons.math4.legacy.stat.inference.OneWayAnova

Computes the ANOVA P-value for a collection of double[] arrays.

anovaPValue(Collection<SummaryStatistics>, boolean) - Method in class org.apache.commons.math4.legacy.stat.inference.OneWayAnova

Computes the ANOVA P-value for a collection of SummaryStatistics.

anovaTest(Collection<double[]>, double) - Method in class org.apache.commons.math4.legacy.stat.inference.OneWayAnova

Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.

ANY_SIDE - org.apache.commons.math4.legacy.analysis.solvers.AllowedSolution

There are no additional side restriction on the solutions for root-finding.

AnyMatrix - Interface in org.apache.commons.math4.legacy.linear

Interface defining very basic matrix operations.

append(double) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Construct a new vector by appending a double to this vector.

append(double) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Construct a new vector by appending a double to this vector.

append(double) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Construct a new vector by appending a double to this vector.

append(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Construct a vector by appending a vector to this vector.

append(ArrayRealVector) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Construct a vector by appending a vector to this vector.

append(FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Construct a vector by appending a vector to this vector.

append(FieldVector<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Construct a vector by appending a vector to this vector.

append(FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Construct a vector by appending a vector to this vector.

append(OpenMapRealVector) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Optimized method to append a OpenMapRealVector.

append(RealVector) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Construct a new vector by appending a vector to this vector.

append(RealVector) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Construct a new vector by appending a vector to this vector.

append(RealVector) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Construct a new vector by appending a vector to this vector.

append(SparseFieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Construct a vector by appending a vector to this vector.

append(ContinuousOutputFieldModel<T>) - Method in class org.apache.commons.math4.legacy.ode.ContinuousOutputFieldModel

Append another model at the end of the instance.

append(ContinuousOutputModel) - Method in class org.apache.commons.math4.legacy.ode.ContinuousOutputModel

Append another model at the end of the instance.

append(StorelessCovariance) - Method in class org.apache.commons.math4.legacy.stat.correlation.StorelessCovariance

Appends sc to this, effectively aggregating the computations in sc with this.

append(SimpleRegression) - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Appends data from another regression calculation to this one.

append(T) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Construct a vector by appending a T to this vector.

append(T) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Construct a vector by appending a T to this vector.

append(T) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Construct a vector by appending a T to this vector.

apply(double[]) - Method in interface org.apache.commons.math4.transform.ComplexTransform

Returns the transform of the specified data set.

apply(double[]) - Method in class org.apache.commons.math4.transform.FastCosineTransform

Returns the transform of the specified data set.

apply(double[]) - Method in class org.apache.commons.math4.transform.FastFourierTransform

Returns the transform of the specified data set.

apply(double[]) - Method in class org.apache.commons.math4.transform.FastHadamardTransform

Returns the transform of the specified data set.

apply(double[]) - Method in class org.apache.commons.math4.transform.FastSineTransform

Returns the transform of the specified data set.

apply(double[]) - Method in interface org.apache.commons.math4.transform.RealTransform

Returns the transform of the specified data set.

apply(int[]) - Method in class org.apache.commons.math4.transform.FastHadamardTransform

Returns the forward transform of the given data set.

apply(DoubleUnaryOperator, double, double, int) - Method in interface org.apache.commons.math4.transform.ComplexTransform

Returns the transform of the specified function.

apply(DoubleUnaryOperator, double, double, int) - Method in class org.apache.commons.math4.transform.FastCosineTransform

Returns the transform of the specified function.

apply(DoubleUnaryOperator, double, double, int) - Method in class org.apache.commons.math4.transform.FastFourierTransform

Returns the transform of the specified function.

apply(DoubleUnaryOperator, double, double, int) - Method in class org.apache.commons.math4.transform.FastSineTransform

Returns the transform of the specified function.

apply(DoubleUnaryOperator, double, double, int) - Method in interface org.apache.commons.math4.transform.RealTransform

Returns the transform of the specified function.

apply(UnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Apply the given statistic to the data associated with this set of statistics.

apply(UnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedDescriptiveStatistics

Apply the given statistic to the data associated with this set of statistics.

apply(Complex[]) - Method in interface org.apache.commons.math4.transform.ComplexTransform

Returns the transform of the specified data set.

apply(Complex[]) - Method in class org.apache.commons.math4.transform.FastFourierTransform

Returns the transform of the specified data set.

applyAsDouble(double) - Method in interface org.apache.commons.math4.legacy.analysis.UnivariateFunction

applyAsDouble(double[], double[]) - Method in class org.apache.commons.math4.neuralnet.EuclideanDistance

applyAsDouble(double, double) - Method in interface org.apache.commons.math4.legacy.analysis.BivariateFunction

applyAsDouble(long) - Method in class org.apache.commons.math4.neuralnet.sofm.util.ExponentialDecayFunction

Computes a e-numCall / b.

applyAsDouble(long) - Method in class org.apache.commons.math4.neuralnet.sofm.util.QuasiSigmoidDecayFunction

Computes the value of the learning factor.

approximateP(double, int, int) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

approximateP(double, int, int) - Method in class org.apache.commons.math4.legacy.stat.inference.KolmogorovSmirnovTest

Uses the Kolmogorov-Smirnov distribution to approximate \(P(D_{n,m} > d)\) where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.

ARGUMENT_OUTSIDE_DOMAIN - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ArgUtils - Class in org.apache.commons.math4.legacy.exception.util

Utility class for transforming the list of arguments passed to constructors of exceptions.

ARITHMETIC_EXCEPTION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ARRAY_ELEMENT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ARRAY_SIZE_EXCEEDS_MAX_VARIABLES - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ARRAY_SIZES_SHOULD_HAVE_DIFFERENCE_1 - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ARRAY_SUMS_TO_ZERO - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ARRAY_ZERO_LENGTH_OR_NULL_NOT_ALLOWED - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

Array2DRowFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math4.legacy.linear

Implementation of FieldMatrix<T> using a FieldElement[][] array to store entries.

Array2DRowFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Creates a matrix with no data.

Array2DRowFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Create a new FieldMatrix<T> with the supplied row and column dimensions.

Array2DRowFieldMatrix(Field<T>, T[]) - Constructor for class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Create a new (column) FieldMatrix<T> using v as the data for the unique column of the created matrix.

Array2DRowFieldMatrix(Field<T>, T[][]) - Constructor for class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Create a new FieldMatrix<T> using the input array as the underlying data array.

Array2DRowFieldMatrix(Field<T>, T[][], boolean) - Constructor for class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Create a new FieldMatrix<T> using the input array as the underlying data array.

Array2DRowFieldMatrix(T[]) - Constructor for class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Create a new (column) FieldMatrix<T> using v as the data for the unique column of the created matrix.

Array2DRowFieldMatrix(T[][]) - Constructor for class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Create a new FieldMatrix<T> using the input array as the underlying data array.

Array2DRowFieldMatrix(T[][], boolean) - Constructor for class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Create a new FieldMatrix<T> using the input array as the underlying data array.

Array2DRowRealMatrix - Class in org.apache.commons.math4.legacy.linear

Implementation of RealMatrix using a double[][] array to store entries.

Array2DRowRealMatrix() - Constructor for class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Creates a matrix with no data.

Array2DRowRealMatrix(double[]) - Constructor for class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Create a new (column) RealMatrix using v as the data for the unique column of the created matrix.

Array2DRowRealMatrix(double[][]) - Constructor for class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Create a new RealMatrix using the input array as the underlying data array.

Array2DRowRealMatrix(double[][], boolean) - Constructor for class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Create a new RealMatrix using the input array as the underlying data array.

Array2DRowRealMatrix(int, int) - Constructor for class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Create a new RealMatrix with the supplied row and column dimensions.

ArrayFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math4.legacy.linear

This class implements the FieldVector interface with a FieldElement array.

ArrayFieldVector(int, T) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Construct a vector with preset values.

ArrayFieldVector(Field<T>) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Build a 0-length vector.

ArrayFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Construct a vector of zeroes.

ArrayFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Construct a vector from an array, copying the input array.

ArrayFieldVector(Field<T>, T[], boolean) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Create a new ArrayFieldVector using the input array as the underlying data array.

ArrayFieldVector(Field<T>, T[], int, int) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Construct a vector from part of a array.

ArrayFieldVector(Field<T>, T[], T[]) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Construct a vector by appending one vector to another vector.

ArrayFieldVector(ArrayFieldVector<T>) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Construct a vector from another vector, using a deep copy.

ArrayFieldVector(ArrayFieldVector<T>, boolean) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Construct a vector from another vector.

ArrayFieldVector(FieldVector<T>) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Construct a vector from another vector, using a deep copy.

ArrayFieldVector(FieldVector<T>, FieldVector<T>) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Construct a vector by appending one vector to another vector.

ArrayFieldVector(FieldVector<T>, T[]) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Construct a vector by appending one vector to another vector.

ArrayFieldVector(T[]) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Construct a vector from an array, copying the input array.

ArrayFieldVector(T[], boolean) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Create a new ArrayFieldVector using the input array as the underlying data array.

ArrayFieldVector(T[], int, int) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Construct a vector from part of a array.

ArrayFieldVector(T[], FieldVector<T>) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Construct a vector by appending one vector to another vector.

ArrayFieldVector(T[], T[]) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Construct a vector by appending one vector to another vector.

ArrayRealVector - Class in org.apache.commons.math4.legacy.linear

This class implements the RealVector interface with a double array.

ArrayRealVector() - Constructor for class org.apache.commons.math4.legacy.linear.ArrayRealVector

Build a 0-length vector.

ArrayRealVector(double[]) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayRealVector

Construct a vector from an array, copying the input array.

ArrayRealVector(double[], boolean) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayRealVector

Create a new ArrayRealVector using the input array as the underlying data array.

ArrayRealVector(double[], double[]) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayRealVector

Construct a vector by appending one vector to another vector.

ArrayRealVector(double[], int, int) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayRealVector

Construct a vector from part of a array.

ArrayRealVector(double[], ArrayRealVector) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayRealVector

Construct a vector by appending one vector to another vector.

ArrayRealVector(int) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayRealVector

Construct a vector of zeroes.

ArrayRealVector(int, double) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayRealVector

Construct a vector with preset values.

ArrayRealVector(Double[]) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayRealVector

Construct a vector from an array.

ArrayRealVector(Double[], int, int) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayRealVector

Construct a vector from part of an array.

ArrayRealVector(ArrayRealVector) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayRealVector

Construct a vector from another vector, using a deep copy.

ArrayRealVector(ArrayRealVector, boolean) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayRealVector

Construct a vector from another vector.

ArrayRealVector(ArrayRealVector, double[]) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayRealVector

Construct a vector by appending one vector to another vector.

ArrayRealVector(ArrayRealVector, ArrayRealVector) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayRealVector

Construct a vector by appending one vector to another vector.

ArrayRealVector(ArrayRealVector, RealVector) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayRealVector

Construct a vector by appending one vector to another vector.

ArrayRealVector(RealVector) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayRealVector

Construct a vector from another vector, using a deep copy.

ArrayRealVector(RealVector, ArrayRealVector) - Constructor for class org.apache.commons.math4.legacy.linear.ArrayRealVector

Construct a vector by appending one vector to another vector.

asin() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Arc sine operation.

asin() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Arc sine operation.

asin() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Arc sine operation.

asin() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Arc sine operation.

asin(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the arc sine of a number.

asin(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

asin(double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute arc sine of a derivative structure.

asin(Dfp) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

computes the arc-sine of the argument.

Asin - Class in org.apache.commons.math4.legacy.analysis.function

Arc-sine function.

Asin() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Asin

asinh() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Inverse hyperbolic sine operation.

asinh() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Inverse hyperbolic sine operation.

asinh() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Inverse hyperbolic sine operation.

asinh() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Inverse hyperbolic sine operation.

asinh(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the inverse hyperbolic sine of a number.

asinh(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

asinh(double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute inverse hyperbolic sine of a derivative structure.

Asinh - Class in org.apache.commons.math4.legacy.analysis.function

Hyperbolic arc-sine function.

Asinh() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Asinh

asList() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.Simplex

Creates a (deep) copy of the simplex points.

ASSYMETRIC_EIGEN_NOT_SUPPORTED - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

AT_LEAST_ONE_COLUMN - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

AT_LEAST_ONE_ROW - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

atan() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Arc tangent operation.

atan() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Arc tangent operation.

atan() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Arc tangent operation.

atan() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Arc tangent operation.

atan(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Arctangent function.

atan(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

atan(double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute arc tangent of a derivative structure.

atan(Dfp) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

Computes the arc tangent of the argument.

Atan - Class in org.apache.commons.math4.legacy.analysis.function

Arc-tangent function.

Atan() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Atan

atan2(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute two arguments arc tangent of a derivative structure.

atan2(double, double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Two arguments arctangent function.

atan2(double, double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

atan2(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Two arguments arc tangent operation.

atan2(DerivativeStructure, DerivativeStructure) - Static method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Two arguments arc tangent operation.

atan2(SparseGradient) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Two arguments arc tangent operation.

atan2(SparseGradient, SparseGradient) - Static method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Two arguments arc tangent operation.

atan2(Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Two arguments arc tangent operation.

atan2(T) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Two arguments arc tangent operation.

Atan2 - Class in org.apache.commons.math4.legacy.analysis.function

Arc-tangent function.

Atan2() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Atan2

atanh() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Inverse hyperbolic tangent operation.

atanh() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Inverse hyperbolic tangent operation.

atanh() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Inverse hyperbolic tangent operation.

atanh() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Inverse hyperbolic tangent operation.

atanh(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the inverse hyperbolic tangent of a number.

atanh(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

atanh(double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute inverse hyperbolic tangent of a derivative structure.

Atanh - Class in org.apache.commons.math4.legacy.analysis.function

Hyperbolic arc-tangent function.

Atanh() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Atanh

atanInternal(Dfp) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

computes the arc-tangent of the argument.

AVERAGE - org.apache.commons.math4.legacy.stat.ranking.TiesStrategy

Ties get the average of applicable ranks.

B

BANDWIDTH - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

BASE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

BaseAbstractUnivariateIntegrator - Class in org.apache.commons.math4.legacy.analysis.integration

Provide a default implementation for several generic functions.

BaseAbstractUnivariateIntegrator(double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

Construct an integrator with given accuracies.

BaseAbstractUnivariateIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

Construct an integrator with given accuracies and iteration counts.

BaseAbstractUnivariateIntegrator(int, int) - Constructor for class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

Construct an integrator with given iteration counts.

BaseAbstractUnivariateSolver<FUNC extends UnivariateFunction> - Class in org.apache.commons.math4.legacy.analysis.solvers

Provide a default implementation for several functions useful to generic solvers.

BaseAbstractUnivariateSolver(double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Construct a solver with given absolute accuracy.

BaseAbstractUnivariateSolver(double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Construct a solver with given accuracies.

BaseAbstractUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Construct a solver with given accuracies.

BaseMultiStartMultivariateOptimizer<PAIR> - Class in org.apache.commons.math4.legacy.optim

Base class multi-start optimizer for a multivariate function.

BaseMultiStartMultivariateOptimizer(BaseMultivariateOptimizer<PAIR>, int, Supplier<double[]>) - Constructor for class org.apache.commons.math4.legacy.optim.BaseMultiStartMultivariateOptimizer

Create a multi-start optimizer from a single-start optimizer.

BaseMultivariateOptimizer<PAIR> - Class in org.apache.commons.math4.legacy.optim

Base class for implementing optimizers for multivariate functions.

BaseMultivariateOptimizer(ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math4.legacy.optim.BaseMultivariateOptimizer

BaseOptimizer<PAIR> - Class in org.apache.commons.math4.legacy.optim

Base class for implementing optimizers.

BaseOptimizer(ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math4.legacy.optim.BaseOptimizer

BaseOptimizer(ConvergenceChecker<PAIR>, int, int) - Constructor for class org.apache.commons.math4.legacy.optim.BaseOptimizer

BaseRuleFactory<T extends Number> - Class in org.apache.commons.math4.legacy.analysis.integration.gauss

Base class for rules that determines the integration nodes and their weights.

BaseRuleFactory() - Constructor for class org.apache.commons.math4.legacy.analysis.integration.gauss.BaseRuleFactory

BaseSecantSolver - Class in org.apache.commons.math4.legacy.analysis.solvers

Base class for all bracketing Secant-based methods for root-finding (approximating a zero of a univariate real function).

BaseSecantSolver(double, double, double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.BaseSecantSolver

Construct a solver.

BaseSecantSolver(double, double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.BaseSecantSolver

Construct a solver.

BaseSecantSolver(double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.BaseSecantSolver

Construct a solver.

BaseSecantSolver.Method - Enum in org.apache.commons.math4.legacy.analysis.solvers

Secant-based root-finding methods.

BaseUnivariateSolver<FUNC extends UnivariateFunction> - Interface in org.apache.commons.math4.legacy.analysis.solvers

Interface for (univariate real) rootfinding algorithms.

BELOW_SIDE - org.apache.commons.math4.legacy.analysis.solvers.AllowedSolution

Only solutions for which values are less than or equal to zero are acceptable as solutions for root-finding.

BESSEL_FUNCTION_BAD_ARGUMENT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

BESSEL_FUNCTION_FAILED_CONVERGENCE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

BesselJ - Class in org.apache.commons.math4.legacy.special

This class provides computation methods related to Bessel functions of the first kind.

BesselJ(double) - Constructor for class org.apache.commons.math4.legacy.special.BesselJ

Create a new BesselJ with the given order.

BesselJ.BesselJResult - Class in org.apache.commons.math4.legacy.special

Encapsulates the results returned by BesselJ.rjBesl(double, double, int).

BesselJResult(double[], int) - Constructor for class org.apache.commons.math4.legacy.special.BesselJ.BesselJResult

Create a new BesselJResult with the given values and valid value count.

BicubicInterpolatingFunction - Class in org.apache.commons.math4.legacy.analysis.interpolation

Function that implements the bicubic spline interpolation.

BicubicInterpolatingFunction(double[], double[], double[][], double[][], double[][], double[][]) - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.BicubicInterpolatingFunction

BicubicInterpolatingFunction(double[], double[], double[][], double[][], double[][], double[][], boolean) - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.BicubicInterpolatingFunction

BicubicInterpolator - Class in org.apache.commons.math4.legacy.analysis.interpolation

Generates a bicubic interpolating function.

BicubicInterpolator() - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.BicubicInterpolator

Default constructor.

BicubicInterpolator(boolean) - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.BicubicInterpolator

Creates an interpolator.

bigDecimalValue() - Method in class org.apache.commons.math4.legacy.linear.BigReal

Get the BigDecimal value corresponding to the instance.

BigReal - Class in org.apache.commons.math4.legacy.linear

Arbitrary precision decimal number.

BigReal(char[]) - Constructor for class org.apache.commons.math4.legacy.linear.BigReal

Build an instance from a characters representation.

BigReal(char[], int, int) - Constructor for class org.apache.commons.math4.legacy.linear.BigReal

Build an instance from a characters representation.

BigReal(char[], int, int, MathContext) - Constructor for class org.apache.commons.math4.legacy.linear.BigReal

Build an instance from a characters representation.

BigReal(char[], MathContext) - Constructor for class org.apache.commons.math4.legacy.linear.BigReal

Build an instance from a characters representation.

BigReal(double) - Constructor for class org.apache.commons.math4.legacy.linear.BigReal

Build an instance from a double.

BigReal(double, MathContext) - Constructor for class org.apache.commons.math4.legacy.linear.BigReal

Build an instance from a double.

BigReal(int) - Constructor for class org.apache.commons.math4.legacy.linear.BigReal

Build an instance from an int.

BigReal(int, MathContext) - Constructor for class org.apache.commons.math4.legacy.linear.BigReal

Build an instance from an int.

BigReal(long) - Constructor for class org.apache.commons.math4.legacy.linear.BigReal

Build an instance from a long.

BigReal(long, MathContext) - Constructor for class org.apache.commons.math4.legacy.linear.BigReal

Build an instance from a long.

BigReal(String) - Constructor for class org.apache.commons.math4.legacy.linear.BigReal

Build an instance from a String representation.

BigReal(String, MathContext) - Constructor for class org.apache.commons.math4.legacy.linear.BigReal

Build an instance from a String representation.

BigReal(BigDecimal) - Constructor for class org.apache.commons.math4.legacy.linear.BigReal

Build an instance from a BigDecimal.

BigReal(BigInteger) - Constructor for class org.apache.commons.math4.legacy.linear.BigReal

Build an instance from a BigInteger.

BigReal(BigInteger, int) - Constructor for class org.apache.commons.math4.legacy.linear.BigReal

Build an instance from an unscaled BigInteger.

BigReal(BigInteger, int, MathContext) - Constructor for class org.apache.commons.math4.legacy.linear.BigReal

Build an instance from an unscaled BigInteger.

BigReal(BigInteger, MathContext) - Constructor for class org.apache.commons.math4.legacy.linear.BigReal

Build an instance from a BigInteger.

BigRealField - Class in org.apache.commons.math4.legacy.linear

Representation of real numbers with arbitrary precision field.

BinaryChromosome - Class in org.apache.commons.math4.legacy.genetics

Chromosome represented by a vector of 0s and 1s.

BinaryChromosome(Integer[]) - Constructor for class org.apache.commons.math4.legacy.genetics.BinaryChromosome

Constructor.

BinaryChromosome(List<Integer>) - Constructor for class org.apache.commons.math4.legacy.genetics.BinaryChromosome

Constructor.

BinaryMutation - Class in org.apache.commons.math4.legacy.genetics

Mutation for BinaryChromosomes.

BinaryMutation() - Constructor for class org.apache.commons.math4.legacy.genetics.BinaryMutation

BINOMIAL_INVALID_PARAMETERS_ORDER - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

BINOMIAL_NEGATIVE_PARAMETER - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

BinomialConfidenceInterval - Interface in org.apache.commons.math4.legacy.stat.interval

Interface to generate confidence intervals for a binomial proportion.

binomialTest(int, int, double, AlternativeHypothesis) - Method in class org.apache.commons.math4.legacy.stat.inference.BinomialTest

Returns the observed significance level, or p-value, associated with a Binomial test.

binomialTest(int, int, double, AlternativeHypothesis, double) - Method in class org.apache.commons.math4.legacy.stat.inference.BinomialTest

Returns whether the null hypothesis can be rejected with the given confidence level.

BinomialTest - Class in org.apache.commons.math4.legacy.stat.inference

Implements binomial test statistics.

BinomialTest() - Constructor for class org.apache.commons.math4.legacy.stat.inference.BinomialTest

BisectionSolver - Class in org.apache.commons.math4.legacy.analysis.solvers

Implements the bisection algorithm for finding zeros of univariate real functions.

BisectionSolver() - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.BisectionSolver

Construct a solver with default accuracy (1e-6).

BisectionSolver(double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.BisectionSolver

Construct a solver.

BisectionSolver(double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.BisectionSolver

Construct a solver.

BivariateFunction - Interface in org.apache.commons.math4.legacy.analysis

An interface representing a bivariate real function.

BivariateGridInterpolator - Interface in org.apache.commons.math4.legacy.analysis.interpolation

Interface representing a bivariate real interpolating function where the sample points must be specified on a regular grid.

BLAND - org.apache.commons.math4.legacy.optim.linear.PivotSelectionRule

The first variable with a negative coefficient in the objective function row will be chosen as entering variable.

BLOCK_SIZE - Static variable in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Block size.

BLOCK_SIZE - Static variable in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Block size.

BlockFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math4.legacy.linear

Cache-friendly implementation of FieldMatrix using a flat arrays to store square blocks of the matrix.

BlockFieldMatrix(int, int, T[][], boolean) - Constructor for class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Create a new dense matrix copying entries from block layout data.

BlockFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Create a new matrix with the supplied row and column dimensions.

BlockFieldMatrix(T[][]) - Constructor for class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Create a new dense matrix copying entries from raw layout data.

blockInverse(RealMatrix, int) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Computes the inverse of the given matrix by splitting it into 4 sub-matrices.

BlockRealMatrix - Class in org.apache.commons.math4.legacy.linear

Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix.

BlockRealMatrix(double[][]) - Constructor for class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Create a new dense matrix copying entries from raw layout data.

BlockRealMatrix(int, int) - Constructor for class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Create a new matrix with the supplied row and column dimensions.

BlockRealMatrix(int, int, double[][], boolean) - Constructor for class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Create a new dense matrix copying entries from block layout data.

BOBYQA_BOUND_DIFFERENCE_CONDITION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

BOBYQAOptimizer - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv

Powell's BOBYQA algorithm.

BOBYQAOptimizer(int) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer

BOBYQAOptimizer(int, double, double) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer

bootstrap(double[], double[], int, boolean, UniformRandomProvider) - Method in class org.apache.commons.math4.legacy.stat.inference.KolmogorovSmirnovTest

Estimates the p-value of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution.

BOTH - org.apache.commons.math4.legacy.ode.sampling.StepNormalizerBounds

Include both the first and last points.

boundedToUnbounded(double[]) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter

Maps an array from bounded to unbounded.

bracket(UnivariateFunction, double, double, double) - Static method in class org.apache.commons.math4.legacy.analysis.solvers.UnivariateSolverUtils

This method simply calls bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations) with q and r set to 1.0 and maximumIterations set to Integer.MAX_VALUE.

bracket(UnivariateFunction, double, double, double, double, double, int) - Static method in class org.apache.commons.math4.legacy.analysis.solvers.UnivariateSolverUtils

This method attempts to find two values a and b satisfying lowerBound <= a < initial < b <= upperBound f(a) * f(b) <= 0 If f is continuous on [a,b], this means that a and b bracket a root of f.

bracket(UnivariateFunction, double, double, double, int) - Static method in class org.apache.commons.math4.legacy.analysis.solvers.UnivariateSolverUtils

This method simply calls bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations) with q and r set to 1.0.

BracketedRealFieldUnivariateSolver<T extends RealFieldElement<T>> - Interface in org.apache.commons.math4.legacy.analysis.solvers

Interface for (univariate real) root-finding algorithms that maintain a bracketed solution.

BracketedUnivariateSolver<FUNC extends UnivariateFunction> - Interface in org.apache.commons.math4.legacy.analysis.solvers

Interface for (univariate real) root-finding algorithms that maintain a bracketed solution.

BracketFinder - Class in org.apache.commons.math4.legacy.optim.univariate

Provide an interval that brackets a local optimum of a function.

BracketFinder() - Constructor for class org.apache.commons.math4.legacy.optim.univariate.BracketFinder

Constructor with default values 100, 500 (see the other constructor).

BracketFinder(double, int) - Constructor for class org.apache.commons.math4.legacy.optim.univariate.BracketFinder

Create a bracketing interval finder.

BracketingNthOrderBrentSolver - Class in org.apache.commons.math4.legacy.analysis.solvers

This class implements a modification of the Brent algorithm.

BracketingNthOrderBrentSolver() - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.BracketingNthOrderBrentSolver

Construct a solver with default accuracy and maximal order (1e-6 and 5 respectively).

BracketingNthOrderBrentSolver(double, double, double, int) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.BracketingNthOrderBrentSolver

Construct a solver.

BracketingNthOrderBrentSolver(double, double, int) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.BracketingNthOrderBrentSolver

Construct a solver.

BracketingNthOrderBrentSolver(double, int) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.BracketingNthOrderBrentSolver

Construct a solver.

BrentOptimizer - Class in org.apache.commons.math4.legacy.optim.univariate

For a function defined on some interval (lo, hi), this class finds an approximation x to the point at which the function attains its minimum.

BrentOptimizer(double, double) - Constructor for class org.apache.commons.math4.legacy.optim.univariate.BrentOptimizer

The arguments are used for implementing the original stopping criterion of Brent's algorithm.

BrentOptimizer(double, double, ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math4.legacy.optim.univariate.BrentOptimizer

The arguments are used implement the original stopping criterion of Brent's algorithm.

BrentSolver - Class in org.apache.commons.math4.legacy.analysis.solvers

This class implements the Brent algorithm for finding zeros of real univariate functions.

BrentSolver() - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.BrentSolver

Construct a solver with default absolute accuracy (1e-6).

BrentSolver(double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.BrentSolver

Construct a solver.

BrentSolver(double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.BrentSolver

Construct a solver.

BrentSolver(double, double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.BrentSolver

Construct a solver.

build() - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresBuilder

Construct a LeastSquaresProblem from the data in this builder.

buildArray(Field<T>, int) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Build an array of elements.

buildArray(Field<T>, int, int) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Build a double dimension array of elements.

C

calculateAdjustedRSquared() - Method in class org.apache.commons.math4.legacy.stat.regression.OLSMultipleLinearRegression

Returns the adjusted R-squared statistic, defined by the formula R2adj = 1 - [SSR (n - 1)] / [SSTO (n - p)] where SSR is the sum of squared residuals, SSTO is the total sum of squares, n is the number of observations and p is the number of parameters estimated (including the intercept).

calculateBeta() - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

Calculates the beta of multiple linear regression in matrix notation.

calculateBeta() - Method in class org.apache.commons.math4.legacy.stat.regression.GLSMultipleLinearRegression

Calculates beta by GLS.

calculateBeta() - Method in class org.apache.commons.math4.legacy.stat.regression.OLSMultipleLinearRegression

Calculates the regression coefficients using OLS.

calculateBetaVariance() - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

Calculates the beta variance of multiple linear regression in matrix notation.

calculateBetaVariance() - Method in class org.apache.commons.math4.legacy.stat.regression.GLSMultipleLinearRegression

Calculates the variance on the beta.

calculateBetaVariance() - Method in class org.apache.commons.math4.legacy.stat.regression.OLSMultipleLinearRegression

Calculates the variance-covariance matrix of the regression parameters.

calculateErrorVariance() - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

Calculates the variance of the error term.

calculateErrorVariance() - Method in class org.apache.commons.math4.legacy.stat.regression.GLSMultipleLinearRegression

Calculates the estimated variance of the error term using the formula

calculateHat() - Method in class org.apache.commons.math4.legacy.stat.regression.OLSMultipleLinearRegression

Compute the "hat" matrix.

calculateResiduals() - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

Calculates the residuals of multiple linear regression in matrix notation.

calculateResidualSumOfSquares() - Method in class org.apache.commons.math4.legacy.stat.regression.OLSMultipleLinearRegression

Returns the sum of squared residuals.

calculateRSquared() - Method in class org.apache.commons.math4.legacy.stat.regression.OLSMultipleLinearRegression

Returns the R-Squared statistic, defined by the formula R2 = 1 - SSR / SSTO where SSR is the sum of squared residuals and SSTO is the total sum of squares

calculateTotalSumOfSquares() - Method in class org.apache.commons.math4.legacy.stat.regression.OLSMultipleLinearRegression

Returns the sum of squared deviations of Y from its mean.

calculateYVariance() - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

Calculates the variance of the y values.

CalinskiHarabasz - Class in org.apache.commons.math4.legacy.ml.clustering.evaluation

Compute the Calinski and Harabasz score.

CalinskiHarabasz() - Constructor for class org.apache.commons.math4.legacy.ml.clustering.evaluation.CalinskiHarabasz

canAdd(AnyMatrix) - Method in interface org.apache.commons.math4.legacy.linear.AnyMatrix

Checks that this matrix and the other matrix can be added.

CanberraDistance - Class in org.apache.commons.math4.legacy.ml.distance

Calculates the Canberra distance between two points.

CanberraDistance() - Constructor for class org.apache.commons.math4.legacy.ml.distance.CanberraDistance

canIncrement() - Method in class org.apache.commons.math4.legacy.core.IntegerSequence.Incrementor

Checks whether incrementing the counter nTimes is allowed.

canIncrement(int) - Method in class org.apache.commons.math4.legacy.core.IntegerSequence.Incrementor

Checks whether incrementing the counter several times is allowed.

canMultiply(AnyMatrix) - Method in interface org.apache.commons.math4.legacy.linear.AnyMatrix

Checks that this matrix can be multiplied by the other matrix.

CANNOT_CLEAR_STATISTIC_CONSTRUCTED_FROM_EXTERNAL_MOMENTS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CANNOT_COMPUTE_0TH_ROOT_OF_UNITY - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CANNOT_COMPUTE_BETA_DENSITY_AT_0_FOR_SOME_ALPHA - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CANNOT_COMPUTE_BETA_DENSITY_AT_1_FOR_SOME_BETA - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CANNOT_COMPUTE_NTH_ROOT_FOR_NEGATIVE_N - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CANNOT_DISCARD_NEGATIVE_NUMBER_OF_ELEMENTS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CANNOT_FORMAT_INSTANCE_AS_3D_VECTOR - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CANNOT_FORMAT_INSTANCE_AS_COMPLEX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CANNOT_FORMAT_INSTANCE_AS_REAL_VECTOR - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CANNOT_FORMAT_OBJECT_TO_FRACTION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CANNOT_INCREMENT_STATISTIC_CONSTRUCTED_FROM_EXTERNAL_MOMENTS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CANNOT_NORMALIZE_A_ZERO_NORM_VECTOR - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CANNOT_PARSE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CANNOT_PARSE_AS_TYPE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CANNOT_RETRIEVE_AT_NEGATIVE_INDEX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CANNOT_SET_AT_NEGATIVE_INDEX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CANNOT_SUBSTITUTE_ELEMENT_FROM_EMPTY_ARRAY - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CANNOT_TRANSFORM_TO_DOUBLE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CARDAN_ANGLES_SINGULARITY - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

cbrt() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Cubic root.

cbrt() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Cubic root.

cbrt() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Cubic root.

cbrt() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Cubic root.

cbrt(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the cubic root of a number.

cbrt(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

Cbrt - Class in org.apache.commons.math4.legacy.analysis.function

Cube root function.

Cbrt() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Cbrt

cdf(double, int) - Method in class org.apache.commons.math4.legacy.stat.inference.KolmogorovSmirnovTest

Calculates \(P(D_n < d)\) using the method described in [1] with quick decisions for extreme values given in [2] (see above).

cdf(double, int, boolean) - Method in class org.apache.commons.math4.legacy.stat.inference.KolmogorovSmirnovTest

Calculates P(D_n < d) using method described in [1] with quick decisions for extreme values given in [2] (see above).

cdfExact(double, int) - Method in class org.apache.commons.math4.legacy.stat.inference.KolmogorovSmirnovTest

Calculates P(D_n < d).

ceil() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Get the smallest whole number larger than instance.

ceil() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Get the smallest whole number larger than instance.

ceil() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Round to an integer using the round ceil mode.

ceil() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Get the smallest whole number larger than instance.

ceil(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Get the smallest whole number larger than x.

ceil(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

Ceil - Class in org.apache.commons.math4.legacy.analysis.function

ceil function.

Ceil() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Ceil

CENTER - org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D.HorizontalDirection

Current column.

CENTER - org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D.VerticalDirection

Current row.

CentralPivotingStrategy - Class in org.apache.commons.math4.legacy.stat.descriptive.rank

A mid point strategy based on the average of begin and end indices.

CentralPivotingStrategy() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.rank.CentralPivotingStrategy

centroid() - Method in class org.apache.commons.math4.legacy.ml.clustering.Cluster

Computes the centroid of the cluster.

CentroidCluster<T extends Clusterable> - Class in org.apache.commons.math4.legacy.ml.clustering

A Cluster used by centroid-based clustering algorithms.

CentroidCluster(Clusterable) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.CentroidCluster

Build a cluster centered at a specified point.

ChebyshevDistance - Class in org.apache.commons.math4.legacy.ml.distance

Calculates the L_∞ (max of abs) distance between two points.

ChebyshevDistance() - Constructor for class org.apache.commons.math4.legacy.ml.distance.ChebyshevDistance

check(double) - Static method in exception org.apache.commons.math4.legacy.exception.NotFiniteNumberException

Check that the argument is a real number.

check(double[]) - Static method in exception org.apache.commons.math4.legacy.exception.NotFiniteNumberException

Check that all the elements are real numbers.

check(Object) - Static method in exception org.apache.commons.math4.legacy.exception.NullArgumentException

Checks that an object is not null.

check(Object, Localizable, Object...) - Static method in exception org.apache.commons.math4.legacy.exception.NullArgumentException

Checks that an object is not null.

checkAdd(AnyMatrix) - Method in interface org.apache.commons.math4.legacy.linear.AnyMatrix

Checks that this matrix and the other matrix can be added.

checkAdditionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Check if matrices are addition compatible.

checkColumnIndex(int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Check if a column index is valid.

checkColumnIndex(AnyMatrix, int) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Check if a column index is valid.

checkCompatibility(DSCompiler) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Check rules set compatibility.

checkEqualLength(double[], double[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Check that both arrays have the same length.

checkEqualLength(double[], double[], boolean) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Check that both arrays have the same length.

checkEqualLength(int[], int[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Check that both arrays have the same length.

checkEqualLength(int[], int[], boolean) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Check that both arrays have the same length.

checker(ConvergenceChecker<LeastSquaresProblem.Evaluation>) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresBuilder

Configure the convergence checker.

checkerPair(ConvergenceChecker<PointVectorValuePair>) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresBuilder

Configure the convergence checker.

checkFinite(double[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Check that all the elements are real numbers.

checkIndex(int) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Check if an index is valid.

checkIndices(int, int) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Checks that the indices of a subvector are valid.

checkMatrixIndex(AnyMatrix, int, int) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Check if matrix indices are valid.

checkMultiplicationCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Check if matrices are multiplication compatible.

checkMultiply(AnyMatrix) - Method in interface org.apache.commons.math4.legacy.linear.AnyMatrix

Checks that this matrix can be multiplied by the other matrix.

checkNonNegative(long[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Check that all entries of the input array are >= 0.

checkNonNegative(long[][]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Check all entries of the input array are >= 0.

checkNotNaN(double[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Check that no entry of the input array is NaN.

checkOrder(double[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Check that the given array is sorted in strictly increasing order.

checkOrder(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Check that the given array is sorted.

checkOrder(double[], MathArrays.OrderDirection, boolean, boolean) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Check that the given array is sorted.

checkParameters(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math4.legacy.linear.PreconditionedIterativeLinearSolver

Performs all dimension checks on the parameters of solve and solveInPlace, and throws an exception if one of the checks fails.

checkParameters(RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math4.legacy.linear.IterativeLinearSolver

Performs all dimension checks on the parameters of solve and solveInPlace, and throws an exception if one of the checks fails.

checkPositive(double[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Check that all entries of the input array are strictly positive.

checkRectangular(long[][]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Throws DimensionMismatchException if the input array is not rectangular.

checkRowIndex(int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Check if a row index is valid.

checkRowIndex(AnyMatrix, int) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Check if a row index is valid.

checkSubMatrixIndex(int[], int[]) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Check if submatrix ranges indices are valid.

checkSubMatrixIndex(int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Check if submatrix ranges indices are valid.

checkSubMatrixIndex(AnyMatrix, int[], int[]) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Check if submatrix ranges indices are valid.

checkSubMatrixIndex(AnyMatrix, int, int, int, int) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Check if submatrix ranges indices are valid.

checkSubtractionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Check if matrices are subtraction compatible.

checkSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Checks whether a matrix is symmetric.

checkValidity(List<Double>) - Method in class org.apache.commons.math4.legacy.genetics.RandomKey

Asserts that representation can represent a valid chromosome.

checkValidity(List<Integer>) - Method in class org.apache.commons.math4.legacy.genetics.BinaryChromosome

Asserts that representation can represent a valid chromosome.

checkValidity(List<T>) - Method in class org.apache.commons.math4.legacy.genetics.AbstractListChromosome

Asserts that representation can represent a valid chromosome.

checkVectorDimensions(int) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Check if instance dimension is equal to some expected value.

checkVectorDimensions(int) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Check if instance dimension is equal to some expected value.

checkVectorDimensions(int) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Check if instance dimension is equal to some expected value.

checkVectorDimensions(int) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Check if instance dimension is equal to some expected value.

checkVectorDimensions(FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Check if instance and specified vectors have the same dimension.

checkVectorDimensions(RealVector) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Check if instance and specified vectors have the same dimension.

checkVectorDimensions(RealVector) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Check if instance and specified vectors have the same dimension.

chiSquare(double[], long[]) - Method in class org.apache.commons.math4.legacy.stat.inference.ChiSquareTest

Computes the Chi-Square statistic comparing observed and expected frequency counts.

chiSquare(double[], long[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

chiSquare(long[][]) - Method in class org.apache.commons.math4.legacy.stat.inference.ChiSquareTest

Computes the Chi-Square statistic associated with a chi-square test of independence based on the input counts array, viewed as a two-way table.

chiSquare(long[][]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

chiSquareDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math4.legacy.stat.inference.ChiSquareTest

Computes a Chi-Square two sample test statistic comparing bin frequency counts in observed1 and observed2.

chiSquareDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

chiSquareTest(double[], long[]) - Method in class org.apache.commons.math4.legacy.stat.inference.ChiSquareTest

Returns the observed significance level, or p-value, associated with a Chi-square goodness of fit test comparing the observed frequency counts to those in the expected array.

chiSquareTest(double[], long[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

chiSquareTest(double[], long[], double) - Method in class org.apache.commons.math4.legacy.stat.inference.ChiSquareTest

Performs a Chi-square goodness of fit test evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level alpha.

chiSquareTest(double[], long[], double) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

chiSquareTest(long[][]) - Method in class org.apache.commons.math4.legacy.stat.inference.ChiSquareTest

Returns the observed significance level, or p-value, associated with a chi-square test of independence based on the input counts array, viewed as a two-way table.

chiSquareTest(long[][]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

chiSquareTest(long[][], double) - Method in class org.apache.commons.math4.legacy.stat.inference.ChiSquareTest

Performs a chi-square test of independence evaluating the null hypothesis that the classifications represented by the counts in the columns of the input 2-way table are independent of the rows, with significance level alpha.

chiSquareTest(long[][], double) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

ChiSquareTest - Class in org.apache.commons.math4.legacy.stat.inference

Implements Chi-Square test statistics.

ChiSquareTest() - Constructor for class org.apache.commons.math4.legacy.stat.inference.ChiSquareTest

Construct a ChiSquareTest.

chiSquareTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math4.legacy.stat.inference.ChiSquareTest

Returns the observed significance level, or p-value, associated with a Chi-Square two sample test comparing bin frequency counts in observed1 and observed2.

chiSquareTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

chiSquareTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math4.legacy.stat.inference.ChiSquareTest

Performs a Chi-Square two sample test comparing two binned data sets.

chiSquareTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

CHOLESKY - org.apache.commons.math4.legacy.fitting.leastsquares.GaussNewtonOptimizer.Decomposition

Solve by forming the normal equations (J^TJx=J^Tr) and using the CholeskyDecomposition.

CholeskyDecomposition - Class in org.apache.commons.math4.legacy.linear

Calculates the Cholesky decomposition of a matrix.

CholeskyDecomposition(RealMatrix) - Constructor for class org.apache.commons.math4.legacy.linear.CholeskyDecomposition

Calculates the Cholesky decomposition of the given matrix.

CholeskyDecomposition(RealMatrix, double, double) - Constructor for class org.apache.commons.math4.legacy.linear.CholeskyDecomposition

Calculates the Cholesky decomposition of the given matrix.

Chromosome - Class in org.apache.commons.math4.legacy.genetics

Individual in a population.

Chromosome() - Constructor for class org.apache.commons.math4.legacy.genetics.Chromosome

ChromosomePair - Class in org.apache.commons.math4.legacy.genetics

A pair of Chromosome objects.

ChromosomePair(Chromosome, Chromosome) - Constructor for class org.apache.commons.math4.legacy.genetics.ChromosomePair

Create a chromosome pair.

ClampedSplineInterpolator - Class in org.apache.commons.math4.legacy.analysis.interpolation

Computes a clamped cubic spline interpolation for the data set.

ClampedSplineInterpolator() - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.ClampedSplineInterpolator

CLASS_DOESNT_IMPLEMENT_COMPARABLE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ClassicalRungeKuttaFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements the classical fourth order Runge-Kutta integrator for Ordinary Differential Equations (it is the most often used Runge-Kutta method).

ClassicalRungeKuttaFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator

Simple constructor.

ClassicalRungeKuttaIntegrator - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements the classical fourth order Runge-Kutta integrator for Ordinary Differential Equations (it is the most often used Runge-Kutta method).

ClassicalRungeKuttaIntegrator(double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.ClassicalRungeKuttaIntegrator

Simple constructor.

classify() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Returns the type - one of FINITE, INFINITE, SNAN, QNAN.

clear() - Method in class org.apache.commons.math4.legacy.fitting.WeightedObservedPoints

Removes all observations from this container.

clear() - Method in class org.apache.commons.math4.legacy.optim.BaseMultiStartMultivariateOptimizer

Method that will called in order to clear all stored optima.

clear() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.MultiStartMultivariateOptimizer

Method that will called in order to clear all stored optima.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AbstractStorelessUnivariateStatistic

Clears the internal state of the Statistic.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Resets all statistics and storage.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.GeometricMean

Clears the internal state of the Statistic.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Kurtosis

Clears the internal state of the Statistic.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Mean

Clears the internal state of the Statistic.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.SecondMoment

Clears the internal state of the Statistic.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Skewness

Clears the internal state of the Statistic.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.StandardDeviation

Clears the internal state of the Statistic.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Clears the internal state of the Statistic.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.VectorialCovariance

Clears the internal state of the Statistic.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Resets all statistics and storage.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Max

Clears the internal state of the Statistic.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Min

Clears the internal state of the Statistic.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.PSquarePercentile

Clears the internal state of the Statistic.

clear() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StorelessUnivariateStatistic

Clears the internal state of the Statistic.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.Product

Clears the internal state of the Statistic.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.Sum

Clears the internal state of the Statistic.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.SumOfLogs

Clears the internal state of the Statistic.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.SumOfSquares

Clears the internal state of the Statistic.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Resets all statistics and storage.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedDescriptiveStatistics

Resets all statistics and storage.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Resets all statistics and storage.

clear() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Resets all statistics and storage.

clear() - Method in class org.apache.commons.math4.legacy.stat.Frequency

Clears the frequency table.

clear() - Method in class org.apache.commons.math4.legacy.stat.regression.MillerUpdatingRegression

As the name suggests, clear wipes the internals and reorders everything in the canonical order.

clear() - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Clears all data from the model.

clear() - Method in interface org.apache.commons.math4.legacy.stat.regression.UpdatingMultipleLinearRegression

Clears internal buffers and resets the regression model.

clearEventHandlers() - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Remove all the event handlers that have been added to the integrator.

clearEventHandlers() - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Remove all the event handlers that have been added to the integrator.

clearEventHandlers() - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderFieldIntegrator

Remove all the event handlers that have been added to the integrator.

clearEventHandlers() - Method in interface org.apache.commons.math4.legacy.ode.ODEIntegrator

Remove all the event handlers that have been added to the integrator.

clearIEEEFlags() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Clears the IEEE 854 status flags.

clearStepHandlers() - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Remove all the step handlers that have been added to the integrator.

clearStepHandlers() - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Remove all the step handlers that have been added to the integrator.

clearStepHandlers() - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderFieldIntegrator

Remove all the step handlers that have been added to the integrator.

clearStepHandlers() - Method in interface org.apache.commons.math4.legacy.ode.ODEIntegrator

Remove all the step handlers that have been added to the integrator.

ClopperPearsonInterval - Class in org.apache.commons.math4.legacy.stat.interval

Implements the Clopper-Pearson method for creating a binomial proportion confidence interval.

ClopperPearsonInterval() - Constructor for class org.apache.commons.math4.legacy.stat.interval.ClopperPearsonInterval

CLOSE_VERTICES - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CLOSEST_ORTHOGONAL_MATRIX_HAS_NEGATIVE_DETERMINANT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

cluster(Collection<T>) - Method in class org.apache.commons.math4.legacy.ml.clustering.Clusterer

Perform a cluster analysis on the given set of Clusterable instances.

cluster(Collection<T>) - Method in class org.apache.commons.math4.legacy.ml.clustering.DBSCANClusterer

Performs DBSCAN cluster analysis.

cluster(Collection<T>) - Method in class org.apache.commons.math4.legacy.ml.clustering.ElkanKMeansPlusPlusClusterer

Runs the K-means++ clustering algorithm.

cluster(Collection<T>) - Method in class org.apache.commons.math4.legacy.ml.clustering.FuzzyKMeansClusterer

Performs Fuzzy K-Means cluster analysis.

cluster(Collection<T>) - Method in class org.apache.commons.math4.legacy.ml.clustering.KMeansPlusPlusClusterer

Runs the K-means++ clustering algorithm.

cluster(Collection<T>) - Method in class org.apache.commons.math4.legacy.ml.clustering.MiniBatchKMeansClusterer

Runs the MiniBatch K-means clustering algorithm.

cluster(Collection<T>) - Method in class org.apache.commons.math4.legacy.ml.clustering.MultiKMeansPlusPlusClusterer

Runs the K-means++ clustering algorithm.

Cluster<T extends Clusterable> - Class in org.apache.commons.math4.legacy.ml.clustering

Cluster holding a set of Clusterable points.

Cluster() - Constructor for class org.apache.commons.math4.legacy.ml.clustering.Cluster

Build a cluster centered at a specified point.

Clusterable - Interface in org.apache.commons.math4.legacy.ml.clustering

Interface for n-dimensional points that can be clustered together.

Clusterer<T extends Clusterable> - Class in org.apache.commons.math4.legacy.ml.clustering

Base class for clustering algorithms.

Clusterer(DistanceMeasure) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.Clusterer

Build a new clusterer with the given DistanceMeasure.

ClusterEvaluator - Interface in org.apache.commons.math4.legacy.ml.clustering

Defines a measure of the quality of clusters.

ClusterRanking - Interface in org.apache.commons.math4.legacy.ml.clustering

Evaluates the quality of a set of clusters.

CM - org.apache.commons.math4.core.jdkmath.JdkMath.Impl

Commons Math.

CMAESOptimizer - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv

An implementation of the active Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for non-linear, non-convex, non-smooth, global function minimization.

CMAESOptimizer(int, double, boolean, int, int, UniformRandomProvider, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.CMAESOptimizer

collector(BivariateFunction, double) - Static method in class org.apache.commons.math4.legacy.analysis.FunctionUtils

Returns a MultivariateFunction h(x[]).

collector(BivariateFunction, UnivariateFunction, double) - Static method in class org.apache.commons.math4.legacy.analysis.FunctionUtils

Returns a MultivariateFunction h(x[]).

COLUMN_INDEX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

COLUMN_INDEX_OUT_OF_RANGE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

combine(double, double, RealVector) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Returns a new vector representing a * this + b * y, the linear combination of this and y.

combine(double, double, RealVector) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Returns a new vector representing a * this + b * y, the linear combination of this and y.

combine(BivariateFunction, UnivariateFunction, UnivariateFunction) - Static method in class org.apache.commons.math4.legacy.analysis.FunctionUtils

Returns the univariate function h(x) = combiner(f(x), g(x)).

combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Updates this with the linear combination of this and y.

combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Updates this with the linear combination of this and y.

comparatorPermutation(List<S>, Comparator<S>) - Static method in class org.apache.commons.math4.legacy.genetics.RandomKey

Generates a representation of a permutation corresponding to the data sorted by comparator.

compareAndSetFeatures(double[], double[]) - Method in class org.apache.commons.math4.neuralnet.Neuron

Tries to atomically update the neuron's features.

compareTo(Chromosome) - Method in class org.apache.commons.math4.legacy.genetics.Chromosome

Compares two chromosomes based on their fitness.

compareTo(BigReal) - Method in class org.apache.commons.math4.legacy.linear.BigReal

complainIfNotSupported(String) - Method in class org.apache.commons.math4.legacy.ode.AbstractParameterizable

Check if a parameter is supported and throw an IllegalArgumentException if not.

complement(int) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Negate the mantissa of this by computing the complement.

ComplexFormat - Class in org.apache.commons.math4.legacy.util

Formats a Complex number in cartesian format "Re(c) + Im(c)i".

ComplexFormat() - Constructor for class org.apache.commons.math4.legacy.util.ComplexFormat

Create an instance with the default imaginary character, 'i', and the default number format for both real and imaginary parts.

ComplexFormat(String) - Constructor for class org.apache.commons.math4.legacy.util.ComplexFormat

Create an instance with a custom imaginary character, and the default number format for both real and imaginary parts.

ComplexFormat(String, NumberFormat) - Constructor for class org.apache.commons.math4.legacy.util.ComplexFormat

Create an instance with a custom imaginary character, and a custom number format for both real and imaginary parts.

ComplexFormat(String, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math4.legacy.util.ComplexFormat

Create an instance with a custom imaginary character, a custom number format for the real part, and a custom number format for the imaginary part.

ComplexFormat(NumberFormat) - Constructor for class org.apache.commons.math4.legacy.util.ComplexFormat

Create an instance with a custom number format for both real and imaginary parts.

ComplexFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math4.legacy.util.ComplexFormat

Create an instance with a custom number format for the real part and a custom number format for the imaginary part.

ComplexTransform - Interface in org.apache.commons.math4.transform

Complex transform.

compose(double...) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Compute composition of the instance by a univariate function.

compose(double[], int, double[], double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute composition of a derivative structure by a function.

compose(double, double) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Compute composition of the instance by a univariate function.

compose(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math4.legacy.analysis.FunctionUtils

Composes functions.

compose(UnivariateFunction...) - Static method in class org.apache.commons.math4.legacy.analysis.FunctionUtils

Composes functions.

CompositeFormat - Class in org.apache.commons.math4.legacy.util

Base class for formatters of composite objects (complex numbers, vectors ...).

compute(double[], double[]) - Method in class org.apache.commons.math4.legacy.ml.distance.CanberraDistance

Compute the distance between two n-dimensional vectors.

compute(double[], double[]) - Method in class org.apache.commons.math4.legacy.ml.distance.ChebyshevDistance

Compute the distance between two n-dimensional vectors.

compute(double[], double[]) - Method in interface org.apache.commons.math4.legacy.ml.distance.DistanceMeasure

Compute the distance between two n-dimensional vectors.

compute(double[], double[]) - Method in class org.apache.commons.math4.legacy.ml.distance.EarthMoversDistance

Compute the distance between two n-dimensional vectors.

compute(double[], double[]) - Method in class org.apache.commons.math4.legacy.ml.distance.EuclideanDistance

Compute the distance between two n-dimensional vectors.

compute(double[], double[]) - Method in class org.apache.commons.math4.legacy.ml.distance.ManhattanDistance

Compute the distance between two n-dimensional vectors.

compute(List<? extends Cluster<? extends Clusterable>>) - Method in interface org.apache.commons.math4.legacy.ml.clustering.ClusterRanking

Computes the rank (higher is better).

computeCoefficients() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunctionLagrangeForm

Calculate the coefficients of Lagrange polynomial from the interpolation data.

computeCoefficients() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunctionNewtonForm

Calculate the normal polynomial coefficients given the Newton form.

computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math4.legacy.stat.correlation.KendallsCorrelation

Computes the Kendall's Tau rank correlation matrix for the columns of the input rectangular array.

computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math4.legacy.stat.correlation.PearsonsCorrelation

Computes the correlation matrix for the columns of the input rectangular array.

computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math4.legacy.stat.correlation.SpearmansCorrelation

Computes the Spearman's rank correlation matrix for the columns of the input rectangular array.

computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math4.legacy.stat.correlation.KendallsCorrelation

Computes the Kendall's Tau rank correlation matrix for the columns of the input matrix.

computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math4.legacy.stat.correlation.PearsonsCorrelation

Computes the correlation matrix for the columns of the input matrix, using PearsonsCorrelation.correlation(double[], double[]).

computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math4.legacy.stat.correlation.SpearmansCorrelation

Computes the Spearman's rank correlation matrix for the columns of the input matrix.

computeCovarianceMatrix(double[][]) - Method in class org.apache.commons.math4.legacy.stat.correlation.Covariance

Create a covariance matrix from a rectangular array whose columns represent covariates.

computeCovarianceMatrix(double[][], boolean) - Method in class org.apache.commons.math4.legacy.stat.correlation.Covariance

Compute a covariance matrix from a rectangular array whose columns represent covariates.

computeCovarianceMatrix(RealMatrix) - Method in class org.apache.commons.math4.legacy.stat.correlation.Covariance

Create a covariance matrix from a matrix whose columns represent covariates.

computeCovarianceMatrix(RealMatrix, boolean) - Method in class org.apache.commons.math4.legacy.stat.correlation.Covariance

Compute a covariance matrix from a matrix whose columns represent covariates.

computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Compute the derivatives and check the number of evaluations.

computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math4.legacy.ode.ExpandableStatefulODE

Get the current time derivative of the complete state vector.

computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math4.legacy.ode.FirstOrderConverter

Get the current time derivative of the state vector.

computeDerivatives(double, double[], double[]) - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderDifferentialEquations

Get the current time derivative of the state vector.

computeDerivatives(double, double[], double[], double[], double[]) - Method in interface org.apache.commons.math4.legacy.ode.SecondaryEquations

Compute the derivatives related to the secondary state parameters.

computeDerivatives(T, T[]) - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Compute the derivatives and check the number of evaluations.

computeDerivatives(T, T[]) - Method in class org.apache.commons.math4.legacy.ode.FieldExpandableODE

Get the current time derivative of the complete state vector.

computeDerivatives(T, T[]) - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderFieldDifferentialEquations

Get the current time derivative of the state vector.

computeDerivatives(T, T[], T[], T[]) - Method in interface org.apache.commons.math4.legacy.ode.FieldSecondaryEquations

Compute the derivatives related to the secondary state parameters.

computeDividedDifference(double[], double[]) - Static method in class org.apache.commons.math4.legacy.analysis.interpolation.DividedDifferenceInterpolator

Return a copy of the divided difference array.

computeExp(Dfp, Dfp) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Compute exp(a).

computeImage(NeuronSquareMesh2D) - Method in interface org.apache.commons.math4.neuralnet.twod.util.MapVisualization

Creates an image of the map.

computeImage(NeuronSquareMesh2D) - Method in class org.apache.commons.math4.neuralnet.twod.util.UnifiedDistanceMatrix

Computes the distances between a unit of the map and its neighbours.

computeImage(NeuronSquareMesh2D, Iterable<double[]>) - Method in interface org.apache.commons.math4.neuralnet.twod.util.MapDataVisualization

Creates an image of the data metrics when represented by the map.

computeImage(NeuronSquareMesh2D, Iterable<double[]>) - Method in class org.apache.commons.math4.neuralnet.twod.util.SmoothedDataHistogram

Creates an image of the data metrics when represented by the map.

computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Compute the state and derivatives at the interpolated time.

computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math4.legacy.ode.sampling.NordsieckStepInterpolator

Compute the state and derivatives at the interpolated time.

computeInterpolatedStateAndDerivatives(FieldEquationsMapper<T>, T, T, T, T) - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractFieldStepInterpolator

Compute the state and derivatives at the interpolated time.

computeJacobian(double[]) - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.ValueAndJacobianFunction

Compute the Jacobian.

computeLn(Dfp, Dfp, Dfp) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Compute ln(a).

computeMainStateJacobian(double, double[], double[], double[][]) - Method in interface org.apache.commons.math4.legacy.ode.MainStateJacobianProvider

Compute the jacobian matrix of ODE with respect to main state.

computeObjectiveGradient(double[]) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.GradientMultivariateOptimizer

Compute the gradient vector.

computeObjectiveValue(double) - Method in class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

Compute the objective function value.

computeObjectiveValue(double) - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Compute the objective function value.

computeObjectiveValue(double) - Method in class org.apache.commons.math4.legacy.optim.univariate.UnivariateOptimizer

Deprecated.

Use UnivariateOptimizer.getObjectiveFunction() instead.

computeObjectiveValue(double[]) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.MultivariateOptimizer

Deprecated.

Use MultivariateOptimizer.getObjectiveFunction() instead.

computeObjectiveValueAndDerivative(double) - Method in class org.apache.commons.math4.legacy.analysis.solvers.AbstractUnivariateDifferentiableSolver

Compute the objective function value.

computeParameterJacobian(double, double[], double[], String, double[]) - Method in interface org.apache.commons.math4.legacy.ode.ParameterJacobianProvider

Compute the Jacobian matrix of ODE with respect to one parameter.

computeQualityIndicators(Iterable<double[]>) - Method in class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D

Computes various indicators of the quality of the representation of the given data by this map.

computeQuantizationError(Iterable<double[]>, Iterable<Neuron>, DistanceMeasure) - Static method in class org.apache.commons.math4.neuralnet.MapUtils

Computes the quantization error.

computeRule(int) - Method in class org.apache.commons.math4.legacy.analysis.integration.gauss.BaseRuleFactory

Computes the rule for the given order.

computeRule(int) - Method in class org.apache.commons.math4.legacy.analysis.integration.gauss.HermiteRuleFactory

Computes the rule for the given order.

computeRule(int) - Method in class org.apache.commons.math4.legacy.analysis.integration.gauss.LaguerreRuleFactory

Computes the rule for the given order.

computeRule(int) - Method in class org.apache.commons.math4.legacy.analysis.integration.gauss.LegendreHighPrecisionRuleFactory

Computes the rule for the given order.

computeRule(int) - Method in class org.apache.commons.math4.legacy.analysis.integration.gauss.LegendreRuleFactory

Computes the rule for the given order.

computeSecondDerivatives(double, double[], double[], double[]) - Method in interface org.apache.commons.math4.legacy.ode.SecondOrderDifferentialEquations

Get the current time derivative of the state vector.

computeStepGrowShrinkFactor(double) - Method in class org.apache.commons.math4.legacy.ode.MultistepIntegrator

Compute step grow/shrink factor according to normalized error.

computeStepGrowShrinkFactor(T) - Method in class org.apache.commons.math4.legacy.ode.MultistepFieldIntegrator

Compute step grow/shrink factor according to normalized error.

computeTopographicError(Iterable<double[]>, Network, DistanceMeasure) - Static method in class org.apache.commons.math4.neuralnet.MapUtils

Computes the topographic error.

computeValue(double[]) - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.ValueAndJacobianFunction

Compute the value.

concatenate(double[]...) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Concatenates a sequence of arrays.

ConfidenceInterval - Class in org.apache.commons.math4.legacy.stat.interval

Represents an interval estimate of a population parameter.

ConfidenceInterval(double, double, double) - Constructor for class org.apache.commons.math4.legacy.stat.interval.ConfidenceInterval

Create a confidence interval with the given bounds and confidence level.

ConjugateGradient - Class in org.apache.commons.math4.legacy.linear

This is an implementation of the conjugate gradient method for RealLinearOperator.

ConjugateGradient(int, double, boolean) - Constructor for class org.apache.commons.math4.legacy.linear.ConjugateGradient

Creates a new instance of this class, with default stopping criterion.

ConjugateGradient(IterationManager, double, boolean) - Constructor for class org.apache.commons.math4.legacy.linear.ConjugateGradient

Creates a new instance of this class, with default stopping criterion and custom iteration manager.

Constant - Class in org.apache.commons.math4.legacy.analysis.function

Constant function.

Constant(double) - Constructor for class org.apache.commons.math4.legacy.analysis.function.Constant

CONSTRAINT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CONTINUE - org.apache.commons.math4.legacy.ode.events.Action

Continue indicator.

CONTINUE - org.apache.commons.math4.legacy.ode.events.EventHandler.Action

Continue indicator.

CONTINUED_FRACTION_INFINITY_DIVERGENCE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CONTINUED_FRACTION_NAN_DIVERGENCE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ContinuousOutputFieldModel<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode

This class stores all information provided by an ODE integrator during the integration process and build a continuous model of the solution from this.

ContinuousOutputFieldModel() - Constructor for class org.apache.commons.math4.legacy.ode.ContinuousOutputFieldModel

Simple constructor.

ContinuousOutputModel - Class in org.apache.commons.math4.legacy.ode

This class stores all information provided by an ODE integrator during the integration process and build a continuous model of the solution from this.

ContinuousOutputModel() - Constructor for class org.apache.commons.math4.legacy.ode.ContinuousOutputModel

Simple constructor.

CONTRACTION_CRITERIA_SMALLER_THAN_EXPANSION_FACTOR - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CONTRACTION_CRITERIA_SMALLER_THAN_ONE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

converged(int, LeastSquaresProblem.Evaluation, LeastSquaresProblem.Evaluation) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.EvaluationRmsChecker

Check if the optimization algorithm has converged.

converged(int, PointValuePair, PointValuePair) - Method in class org.apache.commons.math4.legacy.optim.SimpleValueChecker

Check if the optimization algorithm has converged considering the last two points.

converged(int, PointVectorValuePair, PointVectorValuePair) - Method in class org.apache.commons.math4.legacy.optim.SimpleVectorValueChecker

Check if the optimization algorithm has converged considering the last two points.

converged(int, UnivariatePointValuePair, UnivariatePointValuePair) - Method in class org.apache.commons.math4.legacy.optim.univariate.SimpleUnivariateValueChecker

Check if the optimization algorithm has converged considering the last two points.

converged(int, PAIR, PAIR) - Method in class org.apache.commons.math4.legacy.optim.AbstractConvergenceChecker

Check if the optimization algorithm has converged.

converged(int, PAIR, PAIR) - Method in interface org.apache.commons.math4.legacy.optim.ConvergenceChecker

Check if the optimization algorithm has converged.

converged(int, PAIR, PAIR) - Method in class org.apache.commons.math4.legacy.optim.SimplePointChecker

Check if the optimization algorithm has converged considering the last two points.

CONVERGENCE_FAILED - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ConvergenceChecker<PAIR> - Interface in org.apache.commons.math4.legacy.optim

This interface specifies how to check if an optimization algorithm has converged.

ConvergenceException - Exception in org.apache.commons.math4.legacy.exception

Error thrown when a numerical computation can not be performed because the numerical result failed to converge to a finite value.

ConvergenceException() - Constructor for exception org.apache.commons.math4.legacy.exception.ConvergenceException

Construct the exception.

ConvergenceException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.legacy.exception.ConvergenceException

Construct the exception with a specific context and arguments.

convolve(double[], double[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Calculates the convolution between two sequences.

copy() - Method in class org.apache.commons.math4.legacy.analysis.interpolation.InterpolatingMicrosphere

Perform a copy.

copy() - Method in class org.apache.commons.math4.legacy.analysis.interpolation.InterpolatingMicrosphere2D

Perform a copy.

copy() - Method in class org.apache.commons.math4.legacy.field.linalg.FieldDenseMatrix

Copies this matrix.

copy() - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Make a (deep) copy of this.

copy() - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Returns a (deep) copy of this.

copy() - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Make a (deep) copy of this.

copy() - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Returns a (deep) copy of this.

copy() - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Returns a (deep) copy of this.

copy() - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Returns a (deep) copy of this vector.

copy() - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Make a (deep) copy of this.

copy() - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Returns a (deep) copy of this.

copy() - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Returns a (deep) copy of this.

copy() - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Make a (deep) copy of this.

copy() - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Returns a (deep) copy of this.

copy() - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealMatrix

Returns a (deep) copy of this.

copy() - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Returns a (deep) copy of this vector.

copy() - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Returns a (deep) copy of this.

copy() - Method in class org.apache.commons.math4.legacy.linear.RealVector

Returns a (deep) copy of this vector.

copy() - Method in class org.apache.commons.math4.legacy.linear.SparseFieldMatrix

Make a (deep) copy of this.

copy() - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Returns a (deep) copy of this.

copy() - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Copy the instance.

copy() - Method in interface org.apache.commons.math4.legacy.ode.sampling.StepInterpolator

Copy the instance.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AbstractStorelessUnivariateStatistic

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AbstractUnivariateStatistic

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns a copy of this DescriptiveStatistics instance with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.GeometricMean

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Kurtosis

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Mean

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.SecondMoment

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Skewness

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.StandardDeviation

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Max

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Min

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.PSquarePercentile

Returns a copy of the statistic with the same internal state.

copy() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StorelessUnivariateStatistic

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.Product

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.Sum

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.SumOfLogs

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.SumOfSquares

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns a copy of this SummaryStatistics instance with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedDescriptiveStatistics

Returns a copy of this SynchronizedDescriptiveStatistics instance with the same internal state.

copy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns a copy of this SynchronizedSummaryStatistics instance with the same internal state.

copy() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.UnivariateStatistic

Returns a copy of the statistic with the same internal state.

copy() - Method in class org.apache.commons.math4.neuralnet.Network

Performs a deep copy of this instance.

copy() - Method in class org.apache.commons.math4.neuralnet.Neuron

Performs a deep copy of this instance.

copy() - Method in class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D

Performs a deep copy of this instance.

copy(Field<T>, T[][]) - Method in class org.apache.commons.math4.legacy.ode.FieldODEState

Copy a two-dimensions array.

copy(DescriptiveStatistics, DescriptiveStatistics) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Copies source to dest.

copy(GeometricMean, GeometricMean) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.moment.GeometricMean

Copies source to dest.

copy(Kurtosis, Kurtosis) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Kurtosis

Copies source to dest.

copy(Mean, Mean) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Mean

Copies source to dest.

copy(SecondMoment, SecondMoment) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.moment.SecondMoment

Copies source to dest.

copy(SemiVariance, SemiVariance) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance

Copies source to dest.

copy(Skewness, Skewness) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Skewness

Copies source to dest.

copy(StandardDeviation, StandardDeviation) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.moment.StandardDeviation

Copies source to dest.

copy(Variance, Variance) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Copies source to dest.

copy(Max, Max) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Max

Copies source to dest.

copy(Min, Min) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Min

Copies source to dest.

copy(Product, Product) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.summary.Product

Copies source to dest.

copy(SumOfLogs, SumOfLogs) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.summary.SumOfLogs

Copies source to dest.

copy(SumOfSquares, SumOfSquares) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.summary.SumOfSquares

Copies source to dest.

copy(Sum, Sum) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.summary.Sum

Copies source to dest.

copy(SummaryStatistics, SummaryStatistics) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Copies source to dest.

copy(SynchronizedDescriptiveStatistics, SynchronizedDescriptiveStatistics) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedDescriptiveStatistics

Copies source to dest.

copy(SynchronizedSummaryStatistics, SynchronizedSummaryStatistics) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Copies source to dest.

copySign(double) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Returns the instance with the sign of the argument.

copySign(double) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Returns the instance with the sign of the argument.

copySign(double) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Returns the instance with the sign of the argument.

copySign(double) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Returns the instance with the sign of the argument.

copySign(double, double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Returns the first argument with the sign of the second argument.

copySign(double, double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

copySign(float, float) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Returns the first argument with the sign of the second argument.

copySign(float, float) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

copySign(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Returns the instance with the sign of the argument.

copySign(SparseGradient) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Returns the instance with the sign of the argument.

copySign(Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Returns the instance with the sign of the argument.

copySign(Dfp, Dfp) - Static method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Creates an instance that is the same as x except that it has the sign of y.

copySign(T) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Returns the instance with the sign of the argument.

copySubMatrix(int[], int[], double[][]) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Copy a submatrix.

copySubMatrix(int[], int[], double[][]) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Copy a submatrix.

copySubMatrix(int[], int[], T[][]) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Copy a submatrix.

copySubMatrix(int[], int[], T[][]) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Copy a submatrix.

copySubMatrix(int, int, int, int, double[][]) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Copy a submatrix.

copySubMatrix(int, int, int, int, double[][]) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Copy a submatrix.

copySubMatrix(int, int, int, int, T[][]) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Copy a submatrix.

copySubMatrix(int, int, int, int, T[][]) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Copy a submatrix.

correct(double[]) - Method in class org.apache.commons.math4.legacy.filter.KalmanFilter

Correct the current state estimate with an actual measurement.

correct(RealVector) - Method in class org.apache.commons.math4.legacy.filter.KalmanFilter

Correct the current state estimate with an actual measurement.

CorrelatedVectorFactory - Class in org.apache.commons.math4.legacy.random

Generates vectors with with correlated components.

CorrelatedVectorFactory(double[], RealMatrix, double) - Constructor for class org.apache.commons.math4.legacy.random.CorrelatedVectorFactory

Correlated vector factory.

CorrelatedVectorFactory(RealMatrix, double) - Constructor for class org.apache.commons.math4.legacy.random.CorrelatedVectorFactory

Null mean correlated vector factory.

correlation(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.correlation.KendallsCorrelation

Computes the Kendall's Tau rank correlation coefficient between the two arrays.

correlation(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.correlation.PearsonsCorrelation

Computes the Pearson's product-moment correlation coefficient between two arrays.

correlation(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.correlation.SpearmansCorrelation

Computes the Spearman's rank correlation coefficient between the two arrays.

cos() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Cosine operation.

cos() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Cosine operation.

cos() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Cosine operation.

cos() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Cosine operation.

cos(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Cosine function.

cos(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

cos(double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute cosine of a derivative structure.

cos(Dfp) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

computes the cosine of the argument.

Cos - Class in org.apache.commons.math4.legacy.analysis.function

Cosine function.

Cos() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Cos

cosh() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Hyperbolic cosine operation.

cosh() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Hyperbolic cosine operation.

cosh() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Hyperbolic cosine operation.

cosh() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Hyperbolic cosine operation.

cosh(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the hyperbolic cosine of a number.

cosh(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

cosh(double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute hyperbolic cosine of a derivative structure.

Cosh - Class in org.apache.commons.math4.legacy.analysis.function

Hyperbolic cosine function.

Cosh() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Cosh

cosine(RealVector) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Computes the cosine of the angle between this vector and the argument.

cosInternal(Dfp[]) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

Computes cos(a) Used when 0 < a < pi/4.

countEvaluations(LeastSquaresProblem, IntegerSequence.Incrementor) - Static method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresFactory

Count the evaluations of a particular problem.

covariance(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.correlation.Covariance

Computes the covariance between the two arrays, using the bias-corrected formula.

covariance(double[], double[], boolean) - Method in class org.apache.commons.math4.legacy.stat.correlation.Covariance

Computes the covariance between the two arrays.

Covariance - Class in org.apache.commons.math4.legacy.stat.correlation

Computes covariances for pairs of arrays or columns of a matrix.

Covariance() - Constructor for class org.apache.commons.math4.legacy.stat.correlation.Covariance

Create a Covariance with no data.

Covariance(double[][]) - Constructor for class org.apache.commons.math4.legacy.stat.correlation.Covariance

Create a Covariance matrix from a rectangular array whose columns represent covariates.

Covariance(double[][], boolean) - Constructor for class org.apache.commons.math4.legacy.stat.correlation.Covariance

Create a Covariance matrix from a rectangular array whose columns represent covariates.

Covariance(RealMatrix) - Constructor for class org.apache.commons.math4.legacy.stat.correlation.Covariance

Create a covariance matrix from a matrix whose columns represent covariates.

Covariance(RealMatrix, boolean) - Constructor for class org.apache.commons.math4.legacy.stat.correlation.Covariance

Create a covariance matrix from a matrix whose columns represent covariates.

COVARIANCE_MATRIX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

covarianceToCorrelation(RealMatrix) - Method in class org.apache.commons.math4.legacy.stat.correlation.PearsonsCorrelation

Derives a correlation matrix from a covariance matrix.

create() - Static method in class org.apache.commons.math4.legacy.core.IntegerSequence.Incrementor

Factory method that creates a default instance.

create() - Static method in class org.apache.commons.math4.legacy.fitting.GaussianCurveFitter

Creates a default curve fitter.

create() - Static method in class org.apache.commons.math4.legacy.fitting.HarmonicCurveFitter

Creates a default curve fitter.

create(boolean, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractFieldStepInterpolator

Create a new instance.

create(int) - Static method in class org.apache.commons.math4.legacy.fitting.PolynomialCurveFitter

Creates a default curve fitter.

create(K, V) - Static method in class org.apache.commons.math4.legacy.core.Pair

Convenience factory method that calls the constructor.

create(MultivariateFunction, Comparator<PointValuePair>, DoublePredicate) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.HedarFukushimaTransform

Creates a simplex transformation.

create(MultivariateFunction, Comparator<PointValuePair>, DoublePredicate) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.MultiDirectionalTransform

Creates a simplex transformation.

create(MultivariateFunction, Comparator<PointValuePair>, DoublePredicate) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.NelderMeadTransform

Creates a simplex transformation.

create(MultivariateFunction, Comparator<PointValuePair>, DoublePredicate) - Method in interface org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.Simplex.TransformFactory

Creates a simplex transformation.

create(MultivariateVectorFunction, MultivariateMatrixFunction, double[], double[], RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresFactory

Create a LeastSquaresProblem from the given elements.

create(ParametricUnivariateFunction, double[]) - Static method in class org.apache.commons.math4.legacy.fitting.SimpleCurveFitter

Creates a curve fitter.

create(ParametricUnivariateFunction, SimpleCurveFitter.ParameterGuesser) - Static method in class org.apache.commons.math4.legacy.fitting.SimpleCurveFitter

Creates a curve fitter.

create(MultivariateJacobianFunction, RealVector, RealVector, RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresFactory

Create a LeastSquaresProblem from the given elements.

create(MultivariateJacobianFunction, RealVector, RealVector, RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int, boolean, ParameterValidator) - Static method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresFactory

Create a LeastSquaresProblem from the given elements.

create(MultivariateJacobianFunction, RealVector, RealVector, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresFactory

Create a LeastSquaresProblem from the given elements.

create(RealLinearOperator) - Static method in class org.apache.commons.math4.legacy.linear.JacobiPreconditioner

Creates a new instance of this class.

create(Field<T>, int, int) - Static method in class org.apache.commons.math4.legacy.field.linalg.FieldDenseMatrix

Factory method.

createBlocksLayout(int, int) - Static method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Create a data array in blocks layout.

createBlocksLayout(Field<T>, int, int) - Static method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Create a data array in blocks layout.

createChebyshevPolynomial(int) - Static method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialsUtils

Create a Chebyshev polynomial of the first kind.

createColumnFieldMatrix(T[]) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Creates a column FieldMatrix using the data from the input array.

createColumnRealMatrix(double[]) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Creates a column RealMatrix using the data from the input array.

createConstant(double) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Create a constant compatible with instance order and number of parameters.

createConstant(double) - Static method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Factory method creating a constant.

createContributingStatistics() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AggregateSummaryStatistics

Creates and returns a SummaryStatistics whose data will be aggregated with those of this AggregateSummaryStatistics.

createFieldDiagonalMatrix(T[]) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Returns a diagonal matrix with specified elements.

createFieldIdentityMatrix(Field<T>, int) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Returns dimension x dimension identity matrix.

createFieldMatrix(Field<T>, int, int) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Returns a FieldMatrix with specified dimensions.

createFieldMatrix(T[][]) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Returns a FieldMatrix whose entries are the values in the the input array.

createFieldVector(T[]) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Creates a FieldVector using the data from the input array.

createHermitePolynomial(int) - Static method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialsUtils

Create a Hermite polynomial.

createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator

Create an interpolator.

createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince54FieldIntegrator

Create an interpolator.

createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince853FieldIntegrator

Create an interpolator.

createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator

Create an interpolator.

createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EulerFieldIntegrator

Create an interpolator.

createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.GillFieldIntegrator

Create an interpolator.

createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.HighamHall54FieldIntegrator

Create an interpolator.

createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.LutherFieldIntegrator

Create an interpolator.

createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.MidpointFieldIntegrator

Create an interpolator.

createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.RungeKuttaFieldIntegrator

Create an interpolator.

createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.ThreeEighthesFieldIntegrator

Create an interpolator.

createInterval(int, int, double) - Method in class org.apache.commons.math4.legacy.stat.interval.AgrestiCoullInterval

Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.

createInterval(int, int, double) - Method in interface org.apache.commons.math4.legacy.stat.interval.BinomialConfidenceInterval

Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.

createInterval(int, int, double) - Method in class org.apache.commons.math4.legacy.stat.interval.ClopperPearsonInterval

Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.

createInterval(int, int, double) - Method in class org.apache.commons.math4.legacy.stat.interval.NormalApproximationInterval

Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.

createInterval(int, int, double) - Method in class org.apache.commons.math4.legacy.stat.interval.WilsonScoreInterval

Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.

createJacobiPolynomial(int, int, int) - Static method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialsUtils

Create a Jacobi polynomial.

createLaguerrePolynomial(int) - Static method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialsUtils

Create a Laguerre polynomial.

createLegendrePolynomial(int) - Static method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialsUtils

Create a Legendre polynomial.

createLineSearch() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.MultivariateOptimizer

Intantiate the line search implementation.

createMatrix(int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Create a new FieldMatrix<T> of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Create a new FieldMatrix<T> of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Create a new FieldMatrix<T> of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Create a new FieldMatrix<T> of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealMatrix

Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.

createMatrix(int, int) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldMatrix

Create a new FieldMatrix<T> of the same type as the instance with the supplied row and column dimensions.

createNeuron(double[]) - Method in class org.apache.commons.math4.neuralnet.Network

Creates a neuron and assigns it a unique identifier.

createRealDiagonalMatrix(double[]) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Creates a diagonal matrix with the specified diagonal elements.

createRealIdentityMatrix(int) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Returns dimension x dimension identity matrix.

createRealMatrix(double[][]) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Returns a RealMatrix whose entries are the values in the the input array.

createRealMatrix(int, int) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Returns a RealMatrix with specified dimensions.

createRealMatrixWithDiagonal(double[]) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Creates a dense matrix with the specified diagonal elements.

createRealVector(double[]) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Creates a RealVector using the data from the input array.

createRowFieldMatrix(T[]) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Create a row FieldMatrix using the data from the input array.

createRowRealMatrix(double[]) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Create a row RealMatrix using the data from the input array.

createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.legacy.distribution.AbstractIntegerDistribution

createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.legacy.distribution.AbstractMultivariateRealDistribution

Creates a sampler.

createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.legacy.distribution.AbstractRealDistribution

createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedDistribution

Creates a EnumeratedDistribution.Sampler.

createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedIntegerDistribution

Refer to EnumeratedDistribution.Sampler for implementation details.

createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedRealDistribution

createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.legacy.distribution.MixtureMultivariateRealDistribution

Creates a sampler.

createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.legacy.distribution.MultivariateNormalDistribution

Creates a sampler.

createSampler(UniformRandomProvider) - Method in interface org.apache.commons.math4.legacy.distribution.MultivariateRealDistribution

Creates a sampler.

createVariable(int, double) - Static method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Factory method creating an independent variable.

CROSSING_BOUNDARY_LOOPS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

crossover(Chromosome, Chromosome) - Method in interface org.apache.commons.math4.legacy.genetics.CrossoverPolicy

Perform a crossover operation on the given chromosomes.

crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math4.legacy.genetics.CycleCrossover

Perform a crossover operation on the given chromosomes.

crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math4.legacy.genetics.NPointCrossover

Performs a N-point crossover.

crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math4.legacy.genetics.OnePointCrossover

Performs one point crossover.

crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math4.legacy.genetics.OrderedCrossover

Perform a crossover operation on the given chromosomes.

crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math4.legacy.genetics.UniformCrossover

Perform a crossover operation on the given chromosomes.

CROSSOVER_RATE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

CrossoverPolicy - Interface in org.apache.commons.math4.legacy.genetics

Policy used to create a pair of new chromosomes by performing a crossover operation on a source pair of chromosomes.

CUMULATIVE_PROBABILITY_RETURNED_NAN - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

cumulativeProbability(double) - Method in class org.apache.commons.math4.legacy.distribution.EmpiricalDistribution

Algorithm description: Find the bin B that x belongs to. Compute P(B) = the mass of B and P(B-) = the combined mass of the bins below B. Compute K(B) = the probability mass of B with respect to the within-bin kernel and K(B-) = the kernel distribution evaluated at the lower endpoint of B Return P(B-) + P(B) * [K(x) - K(B-)] / K(B) where K(x) is the within-bin kernel distribution function evaluated at x. If K is a constant distribution, we return P(B-) + P(B) (counting the full mass of B).

cumulativeProbability(double) - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedRealDistribution

cumulativeProbability(int) - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedIntegerDistribution

currentState - Variable in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

current state.

CycleCrossover<T> - Class in org.apache.commons.math4.legacy.genetics

Cycle Crossover [CX] builds offspring from ordered chromosomes by identifying cycles between two parent chromosomes.

CycleCrossover() - Constructor for class org.apache.commons.math4.legacy.genetics.CycleCrossover

Creates a new CycleCrossover policy.

CycleCrossover(boolean) - Constructor for class org.apache.commons.math4.legacy.genetics.CycleCrossover

Creates a new CycleCrossover policy using the given randomStart behavior.

D

DANTZIG - org.apache.commons.math4.legacy.optim.linear.PivotSelectionRule

The classical rule, the variable with the most negative coefficient in the objective function row will be chosen as entering variable.

DBSCANClusterer<T extends Clusterable> - Class in org.apache.commons.math4.legacy.ml.clustering

DBSCAN (density-based spatial clustering of applications with noise) algorithm.

DBSCANClusterer(double, int) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.DBSCANClusterer

Creates a new instance of a DBSCANClusterer.

DBSCANClusterer(double, int, DistanceMeasure) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.DBSCANClusterer

Creates a new instance of a DBSCANClusterer.

decode(List<T>) - Method in interface org.apache.commons.math4.legacy.genetics.PermutationChromosome

Permutes the sequence of objects of type T according to the permutation this chromosome represents.

decode(List<T>) - Method in class org.apache.commons.math4.legacy.genetics.RandomKey

Permutes the sequence of objects of type T according to the permutation this chromosome represents.

decompose(double[][]) - Method in class org.apache.commons.math4.legacy.linear.QRDecomposition

Decompose matrix.

decompose(double[][]) - Method in class org.apache.commons.math4.legacy.linear.RRQRDecomposition

Decompose matrix.

DecompositionSolver - Interface in org.apache.commons.math4.legacy.linear

Interface handling decomposition algorithms that can solve A × X = B.

DECREASING - org.apache.commons.math4.legacy.core.MathArrays.OrderDirection

Constant for decreasing direction.

decreasingExponential(double) - Static method in interface org.apache.commons.math4.legacy.optim.nonlinear.scalar.SimulatedAnnealing.CoolingSchedule

Power-law cooling scheme: \[ T_i = T_0 * f^i \], where \( i \) is the current iteration.

decrementExact(int) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Decrement a number, detecting overflows.

decrementExact(int) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

decrementExact(long) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Decrement a number, detecting overflows.

decrementExact(long) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

Default absolute accuracy.

DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math4.legacy.analysis.solvers.BaseSecantSolver

Default absolute accuracy.

DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math4.legacy.analysis.solvers.SecantSolver

Default absolute accuracy.

DEFAULT_ABSOLUTE_POSITIVITY_THRESHOLD - Static variable in class org.apache.commons.math4.legacy.linear.CholeskyDecomposition

Default threshold below which diagonal elements are considered null and matrix not positive definite.

DEFAULT_ACCURACY - Static variable in class org.apache.commons.math4.legacy.analysis.interpolation.LoessInterpolator

Default value for accuracy.

DEFAULT_BANDWIDTH - Static variable in class org.apache.commons.math4.legacy.analysis.interpolation.LoessInterpolator

Default value of the bandwidth parameter.

DEFAULT_EXTEND - Static variable in class org.apache.commons.math4.legacy.analysis.interpolation.UnivariatePeriodicInterpolator

Default number of extension points of the samples array.

DEFAULT_FORMAT - Static variable in class org.apache.commons.math4.legacy.linear.MatrixUtils

The default format for RealMatrix objects.

DEFAULT_INITIAL_RADIUS - Static variable in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer

Default value for BOBYQAOptimizer.initialTrustRegionRadius: 10.0.

DEFAULT_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

Default maximal iteration count.

DEFAULT_MIN_ITERATIONS_COUNT - Static variable in class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

Default minimal iteration count.

DEFAULT_NAN_STRATEGY - Static variable in class org.apache.commons.math4.legacy.stat.ranking.NaturalRanking

default NaN strategy.

DEFAULT_RELATIVE_ACCURACY - Static variable in class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

Default relative accuracy.

DEFAULT_RELATIVE_SYMMETRY_THRESHOLD - Static variable in class org.apache.commons.math4.legacy.linear.CholeskyDecomposition

Default threshold above which off-diagonal elements are considered too different and matrix not symmetric.

DEFAULT_ROBUSTNESS_ITERS - Static variable in class org.apache.commons.math4.legacy.analysis.interpolation.LoessInterpolator

Default value of the number of robustness iterations.

DEFAULT_STOPPING_RADIUS - Static variable in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer

Default value for BOBYQAOptimizer.stoppingTrustRegionRadius: 1.0E-8.

DEFAULT_TIES_STRATEGY - Static variable in class org.apache.commons.math4.legacy.stat.ranking.NaturalRanking

default ties strategy.

DEFAULT_ZERO_TOLERANCE - Static variable in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Default Tolerance for having a value considered zero.

DefaultFieldMatrixChangingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math4.legacy.linear

Default implementation of the FieldMatrixChangingVisitor interface.

DefaultFieldMatrixChangingVisitor(T) - Constructor for class org.apache.commons.math4.legacy.linear.DefaultFieldMatrixChangingVisitor

Build a new instance.

DefaultFieldMatrixPreservingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math4.legacy.linear

Default implementation of the FieldMatrixPreservingVisitor interface.

DefaultFieldMatrixPreservingVisitor(T) - Constructor for class org.apache.commons.math4.legacy.linear.DefaultFieldMatrixPreservingVisitor

Build a new instance.

DefaultIterativeLinearSolverEvent - Class in org.apache.commons.math4.legacy.linear

A default concrete implementation of the abstract class IterativeLinearSolverEvent.

DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, double) - Constructor for class org.apache.commons.math4.legacy.linear.DefaultIterativeLinearSolverEvent

Creates a new instance of this class.

DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, RealVector, double) - Constructor for class org.apache.commons.math4.legacy.linear.DefaultIterativeLinearSolverEvent

Creates a new instance of this class.

DefaultMeasurementModel - Class in org.apache.commons.math4.legacy.filter

Default implementation of a MeasurementModel for the use with a KalmanFilter.

DefaultMeasurementModel(double[][], double[][]) - Constructor for class org.apache.commons.math4.legacy.filter.DefaultMeasurementModel

Create a new MeasurementModel, taking double arrays as input parameters for the respective measurement matrix and noise.

DefaultMeasurementModel(RealMatrix, RealMatrix) - Constructor for class org.apache.commons.math4.legacy.filter.DefaultMeasurementModel

Create a new MeasurementModel, taking RealMatrix objects as input parameters for the respective measurement matrix and noise.

DefaultProcessModel - Class in org.apache.commons.math4.legacy.filter

Default implementation of a ProcessModel for the use with a KalmanFilter.

DefaultProcessModel(double[][], double[][], double[][]) - Constructor for class org.apache.commons.math4.legacy.filter.DefaultProcessModel

Create a new ProcessModel, taking double arrays as input parameters.

DefaultProcessModel(double[][], double[][], double[][], double[], double[][]) - Constructor for class org.apache.commons.math4.legacy.filter.DefaultProcessModel

Create a new ProcessModel, taking double arrays as input parameters.

DefaultProcessModel(RealMatrix, RealMatrix, RealMatrix, RealVector, RealMatrix) - Constructor for class org.apache.commons.math4.legacy.filter.DefaultProcessModel

Create a new ProcessModel, taking double arrays as input parameters.

DefaultRealMatrixChangingVisitor - Class in org.apache.commons.math4.legacy.linear

Default implementation of the RealMatrixChangingVisitor interface.

DefaultRealMatrixChangingVisitor() - Constructor for class org.apache.commons.math4.legacy.linear.DefaultRealMatrixChangingVisitor

DefaultRealMatrixPreservingVisitor - Class in org.apache.commons.math4.legacy.linear

Default implementation of the RealMatrixPreservingVisitor interface.

DefaultRealMatrixPreservingVisitor() - Constructor for class org.apache.commons.math4.legacy.linear.DefaultRealMatrixPreservingVisitor

degree() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunction

Returns the degree of the polynomial.

degree() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunctionLagrangeForm

Returns the degree of the polynomial.

degree() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunctionNewtonForm

Returns the degree of the polynomial.

DEGREES_OF_FREEDOM - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

deleteLink(Neuron, Neuron) - Method in class org.apache.commons.math4.neuralnet.Network

Deletes the link between neurons a and b.

deleteNeuron(Neuron) - Method in class org.apache.commons.math4.neuralnet.Network

Deletes a neuron.

DENOMINATOR - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

DENOMINATOR_FORMAT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

density(double) - Method in class org.apache.commons.math4.legacy.distribution.EmpiricalDistribution

Returns the kernel density normalized so that its integral over each bin equals the bin mass.

density(double) - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedRealDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).

density(double[]) - Method in class org.apache.commons.math4.legacy.distribution.MixtureMultivariateRealDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double[]) - Method in class org.apache.commons.math4.legacy.distribution.MultivariateNormalDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double[]) - Method in interface org.apache.commons.math4.legacy.distribution.MultivariateRealDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

derivative(MultivariateDifferentiableFunction, int[]) - Static method in class org.apache.commons.math4.legacy.analysis.FunctionUtils

Convert an MultivariateDifferentiableFunction to an MultivariateFunction computing n^th order derivative.

derivative(UnivariateDifferentiableFunction, int) - Static method in class org.apache.commons.math4.legacy.analysis.FunctionUtils

Convert an UnivariateDifferentiableFunction to an UnivariateFunction computing n^th order derivative.

derivatives(T, int) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.FieldHermiteInterpolator

Interpolate value and first derivatives at a specified abscissa.

DerivativeStructure - Class in org.apache.commons.math4.legacy.analysis.differentiation

Class representing both the value and the differentials of a function.

DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Linear combination constructor.

DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Linear combination constructor.

DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Linear combination constructor.

DerivativeStructure(int, int) - Constructor for class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Build an instance with all values and derivatives set to 0.

DerivativeStructure(int, int, double) - Constructor for class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Build an instance representing a constant value.

DerivativeStructure(int, int, double...) - Constructor for class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Build an instance from all its derivatives.

DerivativeStructure(int, int, int, double) - Constructor for class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Build an instance representing a variable.

DescriptiveStatistics - Class in org.apache.commons.math4.legacy.stat.descriptive

Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data.

DescriptiveStatistics() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Construct a DescriptiveStatistics instance with an infinite window.

DescriptiveStatistics(double[]) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Construct a DescriptiveStatistics instance with an infinite window and the initial data values in initialDoubleArray.

DescriptiveStatistics(int) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Construct a DescriptiveStatistics instance with the specified window.

DescriptiveStatistics(Double[]) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Construct a DescriptiveStatistics instance with an infinite window and the initial data values in initialDoubleArray.

DescriptiveStatistics(DescriptiveStatistics) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Copy constructor.

deserializeRealMatrix(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Deserialize a RealMatrix field in a class.

deserializeRealVector(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Deserialize a RealVector field in a class.

df(double, double, double, double) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Computes approximate degrees of freedom for 2-sample t-test.

Dfp - Class in org.apache.commons.math4.legacy.core.dfp

Decimal floating point library for Java

Dfp(Dfp) - Constructor for class org.apache.commons.math4.legacy.core.dfp.Dfp

Copy constructor.

Dfp(DfpField) - Constructor for class org.apache.commons.math4.legacy.core.dfp.Dfp

Makes an instance with a value of zero.

Dfp(DfpField, byte) - Constructor for class org.apache.commons.math4.legacy.core.dfp.Dfp

Create an instance from a byte value.

Dfp(DfpField, byte, byte) - Constructor for class org.apache.commons.math4.legacy.core.dfp.Dfp

Creates an instance with a non-finite value.

Dfp(DfpField, double) - Constructor for class org.apache.commons.math4.legacy.core.dfp.Dfp

Create an instance from a double value.

Dfp(DfpField, int) - Constructor for class org.apache.commons.math4.legacy.core.dfp.Dfp

Create an instance from an int value.

Dfp(DfpField, long) - Constructor for class org.apache.commons.math4.legacy.core.dfp.Dfp

Create an instance from a long value.

Dfp(DfpField, String) - Constructor for class org.apache.commons.math4.legacy.core.dfp.Dfp

Create an instance from a String representation.

dfp2sci() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Convert an instance to a string using scientific notation.

dfp2string() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Convert an instance to a string using normal notation.

DfpDec - Class in org.apache.commons.math4.legacy.core.dfp

Subclass of Dfp which hides the radix-10000 artifacts of the superclass.

DfpDec(Dfp) - Constructor for class org.apache.commons.math4.legacy.core.dfp.DfpDec

Copy constructor.

DfpDec(DfpField) - Constructor for class org.apache.commons.math4.legacy.core.dfp.DfpDec

Makes an instance with a value of zero.

DfpDec(DfpField, byte) - Constructor for class org.apache.commons.math4.legacy.core.dfp.DfpDec

Create an instance from a byte value.

DfpDec(DfpField, byte, byte) - Constructor for class org.apache.commons.math4.legacy.core.dfp.DfpDec

Creates an instance with a non-finite value.

DfpDec(DfpField, double) - Constructor for class org.apache.commons.math4.legacy.core.dfp.DfpDec

Create an instance from a double value.

DfpDec(DfpField, int) - Constructor for class org.apache.commons.math4.legacy.core.dfp.DfpDec

Create an instance from an int value.

DfpDec(DfpField, long) - Constructor for class org.apache.commons.math4.legacy.core.dfp.DfpDec

Create an instance from a long value.

DfpDec(DfpField, String) - Constructor for class org.apache.commons.math4.legacy.core.dfp.DfpDec

Create an instance from a String representation.

DfpField - Class in org.apache.commons.math4.legacy.core.dfp

Field for Decimal floating point instances.

DfpField(int) - Constructor for class org.apache.commons.math4.legacy.core.dfp.DfpField

Create a factory for the specified number of radix digits.

DfpField.RoundingMode - Enum in org.apache.commons.math4.legacy.core.dfp

Enumerate for rounding modes.

DfpMath - Class in org.apache.commons.math4.legacy.core.dfp

Mathematical routines for use with Dfp.

DiagonalMatrix - Class in org.apache.commons.math4.legacy.linear

Implementation of a diagonal matrix.

DiagonalMatrix(double[]) - Constructor for class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Creates a matrix using the input array as the underlying data.

DiagonalMatrix(double[], boolean) - Constructor for class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Creates a matrix using the input array as the underlying data.

DiagonalMatrix(int) - Constructor for class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Creates a matrix with the supplied dimension.

DIFFERENT_ORIG_AND_PERMUTED_DATA - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

DIFFERENT_ROWS_LENGTHS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

differentiate(double[]) - Static method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunction

Returns the coefficients of the derivative of the polynomial with the given coefficients.

differentiate(UnivariateFunction) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.FiniteDifferencesDifferentiator

Create an implementation of a differential from a regular function.

differentiate(UnivariateFunction) - Method in interface org.apache.commons.math4.legacy.analysis.differentiation.UnivariateFunctionDifferentiator

Create an implementation of a differential from a regular function.

differentiate(UnivariateMatrixFunction) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.FiniteDifferencesDifferentiator

Create an implementation of a differential from a regular matrix function.

differentiate(UnivariateMatrixFunction) - Method in interface org.apache.commons.math4.legacy.analysis.differentiation.UnivariateMatrixFunctionDifferentiator

Create an implementation of a differential from a regular matrix function.

differentiate(UnivariateVectorFunction) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.FiniteDifferencesDifferentiator

Create an implementation of a differential from a regular vector function.

differentiate(UnivariateVectorFunction) - Method in interface org.apache.commons.math4.legacy.analysis.differentiation.UnivariateVectorFunctionDifferentiator

Create an implementation of a differential from a regular vector function.

DifferentiatorVectorMultivariateJacobianFunction - Class in org.apache.commons.math4.legacy.fitting.leastsquares

A MultivariateJacobianFunction (a thing that requires a derivative) combined with the thing that can find derivatives.

DifferentiatorVectorMultivariateJacobianFunction(MultivariateVectorFunction, UnivariateVectorFunctionDifferentiator) - Constructor for class org.apache.commons.math4.legacy.fitting.leastsquares.DifferentiatorVectorMultivariateJacobianFunction

Build the jacobian function using a differentiator.

DIGEST_NOT_INITIALIZED - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

DIMENSION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

DimensionMismatchException - Exception in org.apache.commons.math4.legacy.exception

Exception to be thrown when two dimensions differ.

DimensionMismatchException(int, int) - Constructor for exception org.apache.commons.math4.legacy.exception.DimensionMismatchException

Construct an exception from the mismatched dimensions.

DimensionMismatchException(Localizable, int, int) - Constructor for exception org.apache.commons.math4.legacy.exception.DimensionMismatchException

Construct an exception from the mismatched dimensions.

DIMENSIONS_MISMATCH - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

DIMENSIONS_MISMATCH_2x2 - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

DIMENSIONS_MISMATCH_SIMPLE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

DISCRETE_CUMULATIVE_PROBABILITY_RETURNED_NAN - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

distance(double[], double[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Calculates the L₂ (Euclidean) distance between two points.

distance(int[], int[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Calculates the L₂ (Euclidean) distance between two points.

distance(Clusterable, Clusterable) - Method in class org.apache.commons.math4.legacy.ml.clustering.Clusterer

Calculates the distance between two Clusterable instances with the configured DistanceMeasure.

distance1(double[], double[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Calculates the L₁ (sum of abs) distance between two points.

distance1(int[], int[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Calculates the L₁ (sum of abs) distance between two points.

distanceInf(double[], double[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Calculates the L_∞ (max of abs) distance between two points.

distanceInf(int[], int[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Calculates the L_∞ (max of abs) distance between two points.

DistanceMeasure - Interface in org.apache.commons.math4.legacy.ml.distance

Interface for distance measures of n-dimensional vectors.

DistanceMeasure - Interface in org.apache.commons.math4.neuralnet

Interface for distance measures between two n-dimensional vectors.

DISTRIBUTION_NOT_LOADED - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

divide(double) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

'÷' operator.

divide(double) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

'÷' operator.

divide(double) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

'÷' operator.

divide(double) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

'÷' operator.

divide(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Perform division of two derivative structures.

divide(int) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Divide by a single digit less than radix.

divide(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Compute this ÷ a.

divide(SparseGradient) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Compute this ÷ a.

divide(Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Divide this by divisor.

divide(BigReal) - Method in class org.apache.commons.math4.legacy.linear.BigReal

Compute this ÷ a.

divide(T) - Method in interface org.apache.commons.math4.legacy.core.FieldElement

Compute this ÷ a.

Divide - Class in org.apache.commons.math4.legacy.analysis.function

Divide the first operand by the second.

Divide() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Divide

DividedDifferenceInterpolator - Class in org.apache.commons.math4.legacy.analysis.interpolation

Implements the Divided Difference Algorithm for interpolation of real univariate functions.

DividedDifferenceInterpolator() - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.DividedDifferenceInterpolator

doCopy() - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Really copy the finalized instance.

doCopy() - Method in class org.apache.commons.math4.legacy.ode.sampling.NordsieckStepInterpolator

Really copy the finalized instance.

doFinalize() - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Really finalize the step.

doIntegrate() - Method in class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

Method for implementing actual integration algorithms in derived classes.

doIntegrate() - Method in class org.apache.commons.math4.legacy.analysis.integration.IterativeLegendreGaussIntegrator

Method for implementing actual integration algorithms in derived classes.

doIntegrate() - Method in class org.apache.commons.math4.legacy.analysis.integration.MidPointIntegrator

Method for implementing actual integration algorithms in derived classes.

doIntegrate() - Method in class org.apache.commons.math4.legacy.analysis.integration.RombergIntegrator

Method for implementing actual integration algorithms in derived classes.

doIntegrate() - Method in class org.apache.commons.math4.legacy.analysis.integration.SimpsonIntegrator

Method for implementing actual integration algorithms in derived classes.

doIntegrate() - Method in class org.apache.commons.math4.legacy.analysis.integration.TrapezoidIntegrator

Method for implementing actual integration algorithms in derived classes.

doIteration(SimplexTableau) - Method in class org.apache.commons.math4.legacy.optim.linear.SimplexSolver

Runs one iteration of the Simplex method on the given model.

doOptimize() - Method in class org.apache.commons.math4.legacy.optim.BaseMultiStartMultivariateOptimizer

Performs the bulk of the optimization algorithm.

doOptimize() - Method in class org.apache.commons.math4.legacy.optim.BaseOptimizer

Performs the bulk of the optimization algorithm.

doOptimize() - Method in class org.apache.commons.math4.legacy.optim.linear.SimplexSolver

Performs the bulk of the optimization algorithm.

doOptimize() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer

Performs the bulk of the optimization algorithm.

doOptimize() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer

Performs the bulk of the optimization algorithm.

doOptimize() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.CMAESOptimizer

Performs the bulk of the optimization algorithm.

doOptimize() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.PowellOptimizer

Performs the bulk of the optimization algorithm.

doOptimize() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.SimplexOptimizer

Performs the bulk of the optimization algorithm.

doOptimize() - Method in class org.apache.commons.math4.legacy.optim.univariate.BrentOptimizer

Performs the bulk of the optimization algorithm.

doOptimize() - Method in class org.apache.commons.math4.legacy.optim.univariate.MultiStartUnivariateOptimizer

Performs the bulk of the optimization algorithm.

DormandPrince54FieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations.

DormandPrince54FieldIntegrator(Field<T>, double, double, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince54FieldIntegrator

Simple constructor.

DormandPrince54FieldIntegrator(Field<T>, double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince54FieldIntegrator

Simple constructor.

DormandPrince54Integrator - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations.

DormandPrince54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince54Integrator

Simple constructor.

DormandPrince54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince54Integrator

Simple constructor.

DormandPrince853FieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements the 8(5,3) Dormand-Prince integrator for Ordinary Differential Equations.

DormandPrince853FieldIntegrator(Field<T>, double, double, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince853FieldIntegrator

Simple constructor.

DormandPrince853FieldIntegrator(Field<T>, double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince853FieldIntegrator

Simple constructor.

DormandPrince853Integrator - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements the 8(5,3) Dormand-Prince integrator for Ordinary Differential Equations.

DormandPrince853Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince853Integrator

Simple constructor.

DormandPrince853Integrator(double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince853Integrator

Simple constructor.

doSolve() - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Method for implementing actual optimization algorithms in derived classes.

doSolve() - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseSecantSolver

Method for implementing actual optimization algorithms in derived classes.

doSolve() - Method in class org.apache.commons.math4.legacy.analysis.solvers.BisectionSolver

Method for implementing actual optimization algorithms in derived classes.

doSolve() - Method in class org.apache.commons.math4.legacy.analysis.solvers.BracketingNthOrderBrentSolver

Method for implementing actual optimization algorithms in derived classes.

doSolve() - Method in class org.apache.commons.math4.legacy.analysis.solvers.BrentSolver

Method for implementing actual optimization algorithms in derived classes.

doSolve() - Method in class org.apache.commons.math4.legacy.analysis.solvers.LaguerreSolver

Method for implementing actual optimization algorithms in derived classes.

doSolve() - Method in class org.apache.commons.math4.legacy.analysis.solvers.MullerSolver

Method for implementing actual optimization algorithms in derived classes.

doSolve() - Method in class org.apache.commons.math4.legacy.analysis.solvers.MullerSolver2

Method for implementing actual optimization algorithms in derived classes.

doSolve() - Method in class org.apache.commons.math4.legacy.analysis.solvers.NewtonRaphsonSolver

Method for implementing actual optimization algorithms in derived classes.

doSolve() - Method in class org.apache.commons.math4.legacy.analysis.solvers.RiddersSolver

Method for implementing actual optimization algorithms in derived classes.

doSolve() - Method in class org.apache.commons.math4.legacy.analysis.solvers.SecantSolver

Method for implementing actual optimization algorithms in derived classes.

dotProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Compute the dot product.

dotProduct(FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Compute the dot product.

dotProduct(FieldVector<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Compute the dot product.

dotProduct(FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Compute the dot product.

dotProduct(RealVector) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Compute the dot product of this vector with v.

dotProduct(RealVector) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Compute the dot product of this vector with v.

dotrap(int, String, Dfp, Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Raises a trap.

DoublePoint - Class in org.apache.commons.math4.legacy.ml.clustering

A simple implementation of Clusterable for points with double coordinates.

DoublePoint(double[]) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.DoublePoint

Build an instance wrapping an double array.

DoublePoint(int[]) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.DoublePoint

Build an instance wrapping an integer array.

doubleValue() - Method in class org.apache.commons.math4.legacy.linear.BigReal

Get the double value corresponding to the instance.

DOWN - org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D.VerticalDirection

Row below the current row.

DOWNSIDE - org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance.Direction

The DOWNSIDE Direction is used to specify that the observations below.

DOWNSIDE_VARIANCE - Static variable in class org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance

The DOWNSIDE Direction is used to specify that the observations below.

DSCompiler - Class in org.apache.commons.math4.legacy.analysis.differentiation

Class holding "compiled" computation rules for derivative structures.

DummyLocalizable - Class in org.apache.commons.math4.legacy.exception.util

Dummy implementation of the Localizable interface, without localization.

DummyLocalizable(String) - Constructor for class org.apache.commons.math4.legacy.exception.util.DummyLocalizable

Simple constructor.

DummyStepHandler - Class in org.apache.commons.math4.legacy.ode.sampling

This class is a step handler that does nothing.

DUPLICATED_ABSCISSA_DIVISION_BY_ZERO - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

E

E - Static variable in class org.apache.commons.math4.core.jdkmath.AccurateMath

Napier's constant e, base of the natural logarithm.

E - Static variable in class org.apache.commons.math4.core.jdkmath.JdkMath

Constant.

EarthMoversDistance - Class in org.apache.commons.math4.legacy.ml.distance

Calculates the Earh Mover's distance (also known as Wasserstein metric) between two distributions.

EarthMoversDistance() - Constructor for class org.apache.commons.math4.legacy.ml.distance.EarthMoversDistance

ebeAdd(double[], double[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Creates an array whose contents will be the element-by-element addition of the arguments.

ebeDivide(double[], double[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Creates an array whose contents will be the element-by-element division of the first argument by the second.

ebeDivide(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Element-by-element division.

ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Element-by-element division.

ebeDivide(FieldVector<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Element-by-element division.

ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Element-by-element division.

ebeDivide(RealVector) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Element-by-element division.

ebeDivide(RealVector) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Element-by-element division.

ebeDivide(RealVector) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Element-by-element division.

ebeMultiply(double[], double[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Creates an array whose contents will be the element-by-element multiplication of the arguments.

ebeMultiply(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Element-by-element multiplication.

ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Element-by-element multiplication.

ebeMultiply(FieldVector<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Element-by-element multiplication.

ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Element-by-element multiplication.

ebeMultiply(RealVector) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Element-by-element multiplication.

ebeMultiply(RealVector) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Element-by-element multiplication.

ebeMultiply(RealVector) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Element-by-element multiplication.

ebeSubtract(double[], double[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Creates an array whose contents will be the element-by-element subtraction of the second argument from the first.

EDGE_CONNECTED_TO_ONE_FACET - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

EigenDecomposition - Class in org.apache.commons.math4.legacy.linear

Calculates the eigen decomposition of a real matrix.

EigenDecomposition(double[], double[]) - Constructor for class org.apache.commons.math4.legacy.linear.EigenDecomposition

Calculates the eigen decomposition of the symmetric tridiagonal matrix.

EigenDecomposition(RealMatrix) - Constructor for class org.apache.commons.math4.legacy.linear.EigenDecomposition

Calculates the eigen decomposition of the given real matrix.

ELITISM_RATE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ElitisticListPopulation - Class in org.apache.commons.math4.legacy.genetics

Population of chromosomes which uses elitism (certain percentage of the best chromosomes is directly copied to the next generation).

ElitisticListPopulation(int, double) - Constructor for class org.apache.commons.math4.legacy.genetics.ElitisticListPopulation

Creates a new ElitisticListPopulation instance and initializes its inner chromosome list.

ElitisticListPopulation(List<Chromosome>, int, double) - Constructor for class org.apache.commons.math4.legacy.genetics.ElitisticListPopulation

Creates a new ElitisticListPopulation instance.

ElkanKMeansPlusPlusClusterer<T extends Clusterable> - Class in org.apache.commons.math4.legacy.ml.clustering

Implementation of k-means++ algorithm.

ElkanKMeansPlusPlusClusterer(int) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.ElkanKMeansPlusPlusClusterer

ElkanKMeansPlusPlusClusterer(int, int, DistanceMeasure, UniformRandomProvider) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.ElkanKMeansPlusPlusClusterer

ElkanKMeansPlusPlusClusterer(int, int, DistanceMeasure, UniformRandomProvider, KMeansPlusPlusClusterer.EmptyClusterStrategy) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.ElkanKMeansPlusPlusClusterer

EmbeddedRungeKuttaFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations.

EmbeddedRungeKuttaFieldIntegrator(Field<T>, String, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator

Build a Runge-Kutta integrator with the given Butcher array.

EmbeddedRungeKuttaFieldIntegrator(Field<T>, String, int, double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator

Build a Runge-Kutta integrator with the given Butcher array.

EmbeddedRungeKuttaIntegrator - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations.

EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Build a Runge-Kutta integrator with the given Butcher array.

EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Build a Runge-Kutta integrator with the given Butcher array.

EmpiricalDistribution - Class in org.apache.commons.math4.legacy.distribution

Represents an empirical probability distribution: Probability distribution derived from observed data without making any assumptions about the functional form of the population distribution that the data come from.

EMPTY_CLUSTER_IN_K_MEANS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

EMPTY_INTERPOLATION_SAMPLE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

EMPTY_POLYNOMIALS_COEFFICIENTS_ARRAY - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

EMPTY_SELECTED_COLUMN_INDEX_ARRAY - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

EMPTY_SELECTED_ROW_INDEX_ARRAY - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

EMPTY_STRING_FOR_IMAGINARY_CHARACTER - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

end() - Method in class org.apache.commons.math4.legacy.linear.DefaultFieldMatrixChangingVisitor

End visiting a matrix.

end() - Method in class org.apache.commons.math4.legacy.linear.DefaultFieldMatrixPreservingVisitor

End visiting a matrix.

end() - Method in class org.apache.commons.math4.legacy.linear.DefaultRealMatrixChangingVisitor

End visiting a matrix.

end() - Method in class org.apache.commons.math4.legacy.linear.DefaultRealMatrixPreservingVisitor

End visiting a matrix.

end() - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrixChangingVisitor

End visiting a matrix.

end() - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrixPreservingVisitor

End visiting a matrix.

end() - Method in interface org.apache.commons.math4.legacy.linear.FieldVectorChangingVisitor

End visiting a vector.

end() - Method in interface org.apache.commons.math4.legacy.linear.FieldVectorPreservingVisitor

End visiting a vector.

end() - Method in interface org.apache.commons.math4.legacy.linear.RealMatrixChangingVisitor

End visiting a matrix.

end() - Method in interface org.apache.commons.math4.legacy.linear.RealMatrixPreservingVisitor

End visiting a matrix.

end() - Method in interface org.apache.commons.math4.legacy.linear.RealVectorChangingVisitor

End visiting a vector.

end() - Method in interface org.apache.commons.math4.legacy.linear.RealVectorPreservingVisitor

End visiting a vector.

ENDPOINTS_NOT_AN_INTERVAL - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

Entry() - Constructor for class org.apache.commons.math4.legacy.linear.RealVector.Entry

Simple constructor.

entrySetIterator() - Method in class org.apache.commons.math4.legacy.stat.Frequency

Return an Iterator over the set of keys and values that have been added.

EnumeratedDistribution<T> - Class in org.apache.commons.math4.legacy.distribution

A generic implementation of a discrete probability distribution (Wikipedia) over a finite sample space, based on an enumerated list of <value, probability> pairs.

EnumeratedDistribution(List<Pair<T, Double>>) - Constructor for class org.apache.commons.math4.legacy.distribution.EnumeratedDistribution

Create an enumerated distribution using the given random number generator and probability mass function enumeration.

EnumeratedDistribution.Sampler - Class in org.apache.commons.math4.legacy.distribution

Sampler functionality.

EnumeratedIntegerDistribution - Class in org.apache.commons.math4.legacy.distribution

Implementation of an integer-valued EnumeratedDistribution.

EnumeratedIntegerDistribution(int[]) - Constructor for class org.apache.commons.math4.legacy.distribution.EnumeratedIntegerDistribution

Create a discrete integer-valued distribution from the input data.

EnumeratedIntegerDistribution(int[], double[]) - Constructor for class org.apache.commons.math4.legacy.distribution.EnumeratedIntegerDistribution

Create a discrete distribution.

EnumeratedRealDistribution - Class in org.apache.commons.math4.legacy.distribution

Implementation of a real-valued EnumeratedDistribution.

EnumeratedRealDistribution(double[]) - Constructor for class org.apache.commons.math4.legacy.distribution.EnumeratedRealDistribution

Creates a discrete real-valued distribution from the input data.

EnumeratedRealDistribution(double[], double[]) - Constructor for class org.apache.commons.math4.legacy.distribution.EnumeratedRealDistribution

Create a discrete real-valued distribution using the given random number generator and probability mass function enumeration.

EQ - org.apache.commons.math4.legacy.optim.linear.Relationship

Equality relationship.

EQUAL_VERTICES_IN_SIMPLEX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

equals(double[], double[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by Precision.equals(double,double).

equals(float[], float[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by Precision.equals(float,float).

equals(Object) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Test for the equality of two derivative structures.

equals(Object) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Test for the equality of two sparse gradients.

equals(Object) - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunction

equals(Object) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Check if instance is equal to x.

equals(Object) - Method in class org.apache.commons.math4.legacy.core.Pair

Compare the specified object with this entry for equality.

equals(Object) - Method in class org.apache.commons.math4.legacy.field.linalg.FieldDenseMatrix

equals(Object) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Returns true iff object is a FieldMatrix instance with the same dimensions as this and all corresponding matrix entries are equal.

equals(Object) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Returns true iff object is a RealMatrix instance with the same dimensions as this and all corresponding matrix entries are equal.

equals(Object) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Test for the equality of two vectors.

equals(Object) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Test for the equality of two real vectors.

equals(Object) - Method in class org.apache.commons.math4.legacy.linear.BigReal

equals(Object) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Test for the equality of two real vectors.

equals(Object) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Test for the equality of two real vectors.

equals(Object) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

equals(Object) - Method in class org.apache.commons.math4.legacy.ml.clustering.DoublePoint

equals(Object) - Method in class org.apache.commons.math4.legacy.optim.linear.LinearConstraint

equals(Object) - Method in class org.apache.commons.math4.legacy.optim.linear.LinearObjectiveFunction

equals(Object) - Method in class org.apache.commons.math4.legacy.optim.PointValuePair

equals(Object) - Method in class org.apache.commons.math4.legacy.stat.descriptive.AbstractStorelessUnivariateStatistic

Returns true iff object is the same type of StorelessUnivariateStatistic (the object's class equals this instance) returning the same values as this for getResult() and getN().

equals(Object) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.VectorialCovariance

equals(Object) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.VectorialMean

equals(Object) - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns true iff object is a MultivariateSummaryStatistics instance and all statistics have the same values as this.

equals(Object) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.PSquarePercentile

Returns true iff o is a PSquarePercentile returning the.

equals(Object) - Method in class org.apache.commons.math4.legacy.stat.descriptive.StatisticalSummaryValues

Returns true iff object is a StatisticalSummaryValues instance and all statistics have the same values as this.

equals(Object) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this.

equals(Object) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns true iff object is a MultivariateSummaryStatistics instance and all statistics have the same values as this.

equals(Object) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this.

equals(Object) - Method in class org.apache.commons.math4.legacy.stat.Frequency

equalSidesAlongAxes(int, double) - Static method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.Simplex

Builds simplex with the given side length.

equalsIncludingNaN(double[], double[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by this method.

equalsIncludingNaN(float[], float[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by this method.

EquationsMapper - Class in org.apache.commons.math4.legacy.ode

Class mapping the part of a complete state or derivative that pertains to a specific differential equation.

EquationsMapper(int, int) - Constructor for class org.apache.commons.math4.legacy.ode.EquationsMapper

simple constructor.

ERR_SCALE - Static variable in class org.apache.commons.math4.legacy.core.dfp.Dfp

The amount under/overflows are scaled by before going to trap handler.

ERROR - org.apache.commons.math4.legacy.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy

Generate an error.

estimate(double[][], int) - Static method in class org.apache.commons.math4.legacy.distribution.fitting.MultivariateNormalMixtureExpectationMaximization

Helper method to create a multivariate normal mixture model which can be used to initialize MultivariateNormalMixtureExpectationMaximization.fit(MixtureMultivariateNormalDistribution).

estimate(double[], int[], double, int, KthSelector) - Method in enum org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile.EstimationType

Estimation based on K^th selection.

estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince54Integrator

Compute the error ratio.

estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince853Integrator

Compute the error ratio.

estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Compute the error ratio.

estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.HighamHall54Integrator

Compute the error ratio.

estimateError(T[][], T[], T[], T) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince54FieldIntegrator

Compute the error ratio.

estimateError(T[][], T[], T[], T) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince853FieldIntegrator

Compute the error ratio.

estimateError(T[][], T[], T[], T) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator

Compute the error ratio.

estimateError(T[][], T[], T[], T) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.HighamHall54FieldIntegrator

Compute the error ratio.

estimateErrorVariance() - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

Estimates the variance of the error.

estimateRegressandVariance() - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

Returns the variance of the regressand, ie Var(y).

estimateRegressandVariance() - Method in interface org.apache.commons.math4.legacy.stat.regression.MultipleLinearRegression

Returns the variance of the regressand, ie Var(y).

estimateRegressionParameters() - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

Estimates the regression parameters b.

estimateRegressionParameters() - Method in interface org.apache.commons.math4.legacy.stat.regression.MultipleLinearRegression

Estimates the regression parameters b.

estimateRegressionParametersStandardErrors() - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

Returns the standard errors of the regression parameters.

estimateRegressionParametersStandardErrors() - Method in interface org.apache.commons.math4.legacy.stat.regression.MultipleLinearRegression

Returns the standard errors of the regression parameters.

estimateRegressionParametersVariance() - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

Estimates the variance of the regression parameters, ie Var(b).

estimateRegressionParametersVariance() - Method in interface org.apache.commons.math4.legacy.stat.regression.MultipleLinearRegression

Estimates the variance of the regression parameters, ie Var(b).

estimateRegressionStandardError() - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

Estimates the standard error of the regression.

estimateResiduals() - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

Estimates the residuals, ie u = y - X*b.

estimateResiduals() - Method in interface org.apache.commons.math4.legacy.stat.regression.MultipleLinearRegression

Estimates the residuals, ie u = y - X*b.

EuclideanDistance - Class in org.apache.commons.math4.legacy.ml.distance

Calculates the L₂ (Euclidean) distance between two points.

EuclideanDistance - Class in org.apache.commons.math4.neuralnet

Euclidean distance measures of n-dimensional vectors.

EuclideanDistance() - Constructor for class org.apache.commons.math4.legacy.ml.distance.EuclideanDistance

EuclideanDistance() - Constructor for class org.apache.commons.math4.neuralnet.EuclideanDistance

EULER_ANGLES_SINGULARITY - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

EulerFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements a simple Euler integrator for Ordinary Differential Equations.

EulerFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.EulerFieldIntegrator

Simple constructor.

EulerIntegrator - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements a simple Euler integrator for Ordinary Differential Equations.

EulerIntegrator(double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.EulerIntegrator

Simple constructor.

evaluate() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AbstractUnivariateStatistic

Returns the result of evaluating the statistic over the stored data.

evaluate(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Returns the result of evaluating the statistic over the stored data.

evaluate(double[]) - Method in interface org.apache.commons.math4.legacy.core.MathArrays.Function

Operates on an entire array.

evaluate(double[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.AbstractStorelessUnivariateStatistic

This default implementation creates a copy of this StorelessUnivariateStatistic instance, calls AbstractStorelessUnivariateStatistic.clear() on it, then calls AbstractStorelessUnivariateStatistic.incrementAll(double[]) with the specified portion of the input array, and then uses AbstractStorelessUnivariateStatistic.getResult() to compute the return value.

evaluate(double[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.AbstractUnivariateStatistic

Returns the result of evaluating the statistic over the input array.

evaluate(double[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.StandardDeviation

Returns the Standard Deviation of the entries in the input array, or Double.NaN if the array is empty.

evaluate(double[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Returns the variance of the entries in the input array, or Double.NaN if the array is empty.

evaluate(double[]) - Method in interface org.apache.commons.math4.legacy.stat.descriptive.UnivariateStatistic

Returns the result of evaluating the statistic over the input array.

evaluate(double[], double) - Static method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunction

Uses Horner's Method to evaluate the polynomial with the given coefficients at the argument.

evaluate(double[], double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance

Returns the SemiVariance of the designated values against the cutoff, using instance properties variancDirection and biasCorrection.

evaluate(double[], double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.StandardDeviation

Returns the Standard Deviation of the entries in the input array, using the precomputed mean value.

evaluate(double[], double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Returns the variance of the entries in the input array, using the precomputed mean value.

evaluate(double[], double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Returns an estimate of the pth percentile of the values in the values array.

evaluate(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Mean

Returns the weighted arithmetic mean of the entries in the input array.

evaluate(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Returns the weighted variance of the entries in the input array.

evaluate(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.Product

Returns the weighted product of the entries in the input array.

evaluate(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.Sum

The weighted sum of the entries in the input array.

evaluate(double[], double[]) - Method in interface org.apache.commons.math4.legacy.stat.descriptive.WeightedEvaluation

Returns the result of evaluating the statistic over the input array, using the supplied weights.

evaluate(double[], double[], double) - Static method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunctionLagrangeForm

Evaluate the Lagrange polynomial using Neville's Algorithm.

evaluate(double[], double[], double) - Static method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunctionNewtonForm

Evaluate the Newton polynomial using nested multiplication.

evaluate(double[], double[], double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Returns the weighted variance of the values in the input array, using the precomputed weighted mean value.

evaluate(double[], double[], double) - Method in enum org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile.EstimationType

Evaluate weighted percentile by estimation rule specified in Percentile.EstimationType.

evaluate(double[], double[], double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Returns an estimate of the pth percentile of the values in the values array with their weights.

evaluate(double[], double[], double, int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Returns the weighted variance of the entries in the specified portion of the input array, using the precomputed weighted mean value.

evaluate(double[], double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Mean

Returns the weighted arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Returns the weighted variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Returns an estimate of the weighted quantileth percentile of the designated values in the values array.

evaluate(double[], double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.Product

Returns the weighted product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.Sum

The weighted sum of the entries in the specified portion of the input array, or 0 if the designated subarray is empty.

evaluate(double[], double[], int, int) - Method in interface org.apache.commons.math4.legacy.stat.descriptive.WeightedEvaluation

Returns the result of evaluating the statistic over the specified entries in the input array, using corresponding entries in the supplied weights array.

evaluate(double[], double[], int, int, double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Returns an estimate of the pth percentile of the values in the values array with sampleWeights, starting with the element in (0-based) position begin in the array and including length values.

evaluate(double[], double, int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.StandardDeviation

Returns the Standard Deviation of the entries in the specified portion of the input array, using the precomputed mean value.

evaluate(double[], double, int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.

evaluate(double[], double, SemiVariance.Direction) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance

Returns the SemiVariance of the designated values against the cutoff in the given direction, using the current value of the biasCorrection instance property.

evaluate(double[], double, SemiVariance.Direction, boolean, int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance

Returns the SemiVariance of the designated values against the cutoff in the given direction with the provided bias correction.

evaluate(double[], double, KthSelector) - Method in enum org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile.EstimationType

Evaluate method to compute the percentile for a given bounded array.

evaluate(double[], int[], double, KthSelector) - Method in enum org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile.EstimationType

Evaluate method to compute the percentile for a given bounded array using earlier computed pivots heap.
This basically calls the index and then estimate functions to return the estimated percentile value.

evaluate(double[], int, int) - Method in interface org.apache.commons.math4.legacy.core.MathArrays.Function

evaluate(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.AbstractStorelessUnivariateStatistic

This default implementation creates a copy of this StorelessUnivariateStatistic instance, calls AbstractStorelessUnivariateStatistic.clear() on it, then calls AbstractStorelessUnivariateStatistic.incrementAll(double[]) with the specified portion of the input array, and then uses AbstractStorelessUnivariateStatistic.getResult() to compute the return value.

evaluate(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.AbstractUnivariateStatistic

Returns the result of evaluating the statistic over the specified entries in the input array.

evaluate(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.GeometricMean

Returns the geometric mean of the entries in the specified portion of the input array.

evaluate(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Kurtosis

Returns the kurtosis of the entries in the specified portion of the input array.

evaluate(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Mean

Returns the arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance

Returns the SemiVariance of the designated values against the mean, using instance properties varianceDirection and biasCorrection.

evaluate(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Skewness

Returns the Skewness of the entries in the specified portion of the input array.

evaluate(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.StandardDeviation

Returns the Standard Deviation of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Returns the variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Max

Returns the maximum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Min

Returns the minimum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Returns an estimate of the quantileth percentile of the designated values in the values array.

evaluate(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.Product

Returns the product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.Sum

The sum of the entries in the specified portion of the input array, or 0 if the designated subarray is empty.

evaluate(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.SumOfLogs

Returns the sum of the natural logs of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.SumOfSquares

Returns the sum of the squares of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], int, int) - Method in interface org.apache.commons.math4.legacy.stat.descriptive.UnivariateStatistic

Returns the result of evaluating the statistic over the specified entries in the input array.

evaluate(double[], int, int, double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Returns an estimate of the pth percentile of the values in the values array, starting with the element in (0-based) position begin in the array and including length values.

evaluate(double[], SemiVariance.Direction) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance

This method calculates SemiVariance for the entire array against the mean, using the current value of the biasCorrection instance property.

evaluate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.Simplex

Evaluates the (non-evaluated) simplex points and returns a new instance with vertices sorted from best to worst.

evaluate(RealVector) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresAdapter

Evaluate the model at the specified point.

evaluate(RealVector) - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresProblem

Evaluate the model at the specified point.

evaluateStep(FieldStepInterpolator<T>) - Method in class org.apache.commons.math4.legacy.ode.events.FieldEventState

Evaluate the impact of the proposed step on the event handler.

evaluateStep(StepInterpolator) - Method in class org.apache.commons.math4.legacy.ode.events.EventState

Evaluate the impact of the proposed step on the event handler.

EVALUATION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

evaluationChecker(ConvergenceChecker<PointVectorValuePair>) - Static method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresFactory

View a convergence checker specified for a PointVectorValuePair as one specified for an LeastSquaresProblem.Evaluation.

EvaluationRmsChecker - Class in org.apache.commons.math4.legacy.fitting.leastsquares

Check if an optimization has converged based on the change in computed RMS.

EvaluationRmsChecker(double) - Constructor for class org.apache.commons.math4.legacy.fitting.leastsquares.EvaluationRmsChecker

Create a convergence checker for the RMS with the same relative and absolute tolerance.

EvaluationRmsChecker(double, double) - Constructor for class org.apache.commons.math4.legacy.fitting.leastsquares.EvaluationRmsChecker

Create a convergence checker for the RMS with a relative and absolute tolerance.

EVALUATIONS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

EventFilter - Class in org.apache.commons.math4.legacy.ode.events

Wrapper used to detect only increasing or decreasing events.

EventFilter(EventHandler, FilterType) - Constructor for class org.apache.commons.math4.legacy.ode.events.EventFilter

Wrap an event handler.

EventHandler - Interface in org.apache.commons.math4.legacy.ode.events

This interface represents a handler for discrete events triggered during ODE integration.

EventHandler.Action - Enum in org.apache.commons.math4.legacy.ode.events

Enumerate for actions to be performed when an event occurs.

eventOccurred(double, double[], boolean) - Method in class org.apache.commons.math4.legacy.ode.events.EventFilter

Handle an event and choose what to do next.

eventOccurred(double, double[], boolean) - Method in interface org.apache.commons.math4.legacy.ode.events.EventHandler

Handle an event and choose what to do next.

eventOccurred(FieldODEStateAndDerivative<T>, boolean) - Method in interface org.apache.commons.math4.legacy.ode.events.FieldEventHandler

Handle an event and choose what to do next.

EventState - Class in org.apache.commons.math4.legacy.ode.events

This class handles the state for one event handler during integration steps.

EventState(EventHandler, double, double, int, UnivariateSolver) - Constructor for class org.apache.commons.math4.legacy.ode.events.EventState

Simple constructor.

evolve(Population, StoppingCondition) - Method in class org.apache.commons.math4.legacy.genetics.GeneticAlgorithm

Evolve the given population.

exactP(double, int, int, boolean) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

exactP(double, int, int, boolean) - Method in class org.apache.commons.math4.legacy.stat.inference.KolmogorovSmirnovTest

Computes \(P(D_{n,m} > d)\) if strict is true; otherwise \(P(D_{n,m} \ge d)\), where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.

ExceptionContext - Class in org.apache.commons.math4.legacy.exception.util

Class that contains the actual implementation of the functionality mandated by the ExceptionContext interface.

ExceptionContext(Throwable) - Constructor for class org.apache.commons.math4.legacy.exception.util.ExceptionContext

Simple constructor.

ExceptionContextProvider - Interface in org.apache.commons.math4.legacy.exception.util

Interface for accessing the context data structure stored in Commons Math exceptions.

exp - Variable in class org.apache.commons.math4.legacy.core.dfp.Dfp

Exponent.

exp() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Exponential.

exp() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Exponential.

exp() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Exponential.

exp() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Exponential.

exp(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Exponential function.

exp(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

exp(double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute exponential of a derivative structure.

exp(Dfp) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

Computes e to the given power.

Exp - Class in org.apache.commons.math4.legacy.analysis.function

Exponential function.

Exp() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Exp

ExpandableStatefulODE - Class in org.apache.commons.math4.legacy.ode

This class represents a combined set of first order differential equations, with at least a primary set of equations expandable by some sets of secondary equations.

ExpandableStatefulODE(FirstOrderDifferentialEquations) - Constructor for class org.apache.commons.math4.legacy.ode.ExpandableStatefulODE

Build an expandable set from its primary ODE set.

EXPANSION_FACTOR_SMALLER_THAN_ONE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

expInternal(Dfp) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

Computes e to the given power.

expm1() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Exponential minus 1.

expm1() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Exponential minus 1.

expm1() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Exponential minus 1.

expm1() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Exponential minus 1.

expm1(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute exp(x) - 1.

expm1(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

expm1(double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute exp(x) - 1 of a derivative structure.

Expm1 - Class in org.apache.commons.math4.legacy.analysis.function

ex-1 function.

Expm1() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Expm1

EXPONENT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

exponentialDecay(double, double, long) - Static method in class org.apache.commons.math4.neuralnet.sofm.LearningFactorFunctionFactory

Creates an exponential decay function.

exponentialDecay(double, double, long) - Static method in class org.apache.commons.math4.neuralnet.sofm.NeighbourhoodSizeFunctionFactory

Creates an exponential decay function.

ExponentialDecayFunction - Class in org.apache.commons.math4.neuralnet.sofm.util

Exponential decay function: a e-x / b, where x is the (integer) independent variable.

ExponentialDecayFunction(double, double, long) - Constructor for class org.apache.commons.math4.neuralnet.sofm.util.ExponentialDecayFunction

Creates an instance.

extractEquationData(double[], double[]) - Method in class org.apache.commons.math4.legacy.ode.EquationsMapper

Extract equation data from a complete state or derivative array.

extractEquationData(int, T[]) - Method in class org.apache.commons.math4.legacy.ode.FieldEquationsMapper

Extract equation data from a complete state or derivative array.

extractField(T[]) - Static method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Get the elements type from an array.

extractField(T[][]) - Static method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Get the elements type from an array.

F

FACET_ORIENTATION_MISMATCH - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

FACTORIAL_NEGATIVE_PARAMETER - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

FAILED - org.apache.commons.math4.legacy.stat.ranking.NaNStrategy

NaNs result in an exception.

FAILED_BRACKETING - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

FAILED_FRACTION_CONVERSION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

FARTHEST_POINT - org.apache.commons.math4.legacy.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy

Create a cluster around the point farthest from its centroid.

FastCosineTransform - Class in org.apache.commons.math4.transform

Implements the Fast Cosine Transform for transformation of one-dimensional real data sets.

FastCosineTransform(FastCosineTransform.Norm) - Constructor for class org.apache.commons.math4.transform.FastCosineTransform

FastCosineTransform(FastCosineTransform.Norm, boolean) - Constructor for class org.apache.commons.math4.transform.FastCosineTransform

FastCosineTransform.Norm - Enum in org.apache.commons.math4.transform

Normalization types.

FastFourierTransform - Class in org.apache.commons.math4.transform

Implements the Fast Fourier Transform for transformation of one-dimensional real or complex data sets.

FastFourierTransform(FastFourierTransform.Norm) - Constructor for class org.apache.commons.math4.transform.FastFourierTransform

FastFourierTransform(FastFourierTransform.Norm, boolean) - Constructor for class org.apache.commons.math4.transform.FastFourierTransform

FastFourierTransform.Norm - Enum in org.apache.commons.math4.transform

Normalization types.

FastHadamardTransform - Class in org.apache.commons.math4.transform

Fast Hadamard Transform (FHT).

FastHadamardTransform() - Constructor for class org.apache.commons.math4.transform.FastHadamardTransform

Default constructor.

FastHadamardTransform(boolean) - Constructor for class org.apache.commons.math4.transform.FastHadamardTransform

FastSineTransform - Class in org.apache.commons.math4.transform

Implements the Fast Sine Transform for transformation of one-dimensional real data sets.

FastSineTransform(FastSineTransform.Norm) - Constructor for class org.apache.commons.math4.transform.FastSineTransform

FastSineTransform(FastSineTransform.Norm, boolean) - Constructor for class org.apache.commons.math4.transform.FastSineTransform

FastSineTransform.Norm - Enum in org.apache.commons.math4.transform

Normalization types.

FeatureInitializer - Interface in org.apache.commons.math4.neuralnet

Defines how to assign the first value of a neuron's feature.

FeatureInitializerFactory - Class in org.apache.commons.math4.neuralnet

Creates functions that will select the initial values of a neuron's features.

Field<T> - Interface in org.apache.commons.math4.legacy.core

Interface representing a field.

FieldBracketingNthOrderBrentSolver<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.analysis.solvers

This class implements a modification of the Brent algorithm.

FieldBracketingNthOrderBrentSolver(T, T, T, int) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.FieldBracketingNthOrderBrentSolver

Construct a solver.

FieldButcherArrayProvider<T extends RealFieldElement<T>> - Interface in org.apache.commons.math4.legacy.ode.nonstiff

This interface represents an integrator based on Butcher arrays.

FieldDecompositionSolver<T> - Interface in org.apache.commons.math4.legacy.field.linalg

Interface handling decomposition algorithms that can solve A X = B.

FieldDecompositionSolver<T extends FieldElement<T>> - Interface in org.apache.commons.math4.legacy.linear

Interface handling decomposition algorithms that can solve A × X = B.

FieldDenseMatrix<T> - Class in org.apache.commons.math4.legacy.field.linalg

Square matrix whose elements define a Field.

FieldElement<T> - Interface in org.apache.commons.math4.legacy.core

Interface representing field elements.

FieldEquationsMapper<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode

Class mapping the part of a complete state or derivative that pertains to a set of differential equations.

FieldEventHandler<T extends RealFieldElement<T>> - Interface in org.apache.commons.math4.legacy.ode.events

This interface represents a handler for discrete events triggered during ODE integration.

FieldEventState<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode.events

This class handles the state for one event handler during integration steps.

FieldEventState(FieldEventHandler<T>, double, T, int, BracketedRealFieldUnivariateSolver<T>) - Constructor for class org.apache.commons.math4.legacy.ode.events.FieldEventState

Simple constructor.

FieldExpandableODE<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode

This class represents a combined set of first order differential equations, with at least a primary set of equations expandable by some sets of secondary equations.

FieldExpandableODE(FirstOrderFieldDifferentialEquations<T>) - Constructor for class org.apache.commons.math4.legacy.ode.FieldExpandableODE

Build an expandable set from its primary ODE set.

FieldFixedStepHandler<T extends RealFieldElement<T>> - Interface in org.apache.commons.math4.legacy.ode.sampling

This interface represents a handler that should be called after each successful fixed step.

FieldHermiteInterpolator<T extends FieldElement<T>> - Class in org.apache.commons.math4.legacy.analysis.interpolation

Polynomial interpolator using both sample values and sample derivatives.

FieldHermiteInterpolator() - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.FieldHermiteInterpolator

Create an empty interpolator.

FieldLUDecomposition<T> - Class in org.apache.commons.math4.legacy.field.linalg

Calculates the LUP-decomposition of a square matrix.

FieldLUDecomposition<T extends FieldElement<T>> - Class in org.apache.commons.math4.legacy.linear

Calculates the LUP-decomposition of a square matrix.

FieldLUDecomposition(FieldMatrix<T>) - Constructor for class org.apache.commons.math4.legacy.linear.FieldLUDecomposition

Calculates the LU-decomposition of the given matrix.

FieldMatrix<T extends FieldElement<T>> - Interface in org.apache.commons.math4.legacy.linear

Interface defining field-valued matrix with basic algebraic operations.

FieldMatrixChangingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math4.legacy.linear

Interface defining a visitor for matrix entries.

FieldMatrixPreservingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math4.legacy.linear

Interface defining a visitor for matrix entries.

FieldODEState<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode

Container for time, main and secondary state vectors.

FieldODEState(T, T[]) - Constructor for class org.apache.commons.math4.legacy.ode.FieldODEState

Simple constructor.

FieldODEState(T, T[], T[][]) - Constructor for class org.apache.commons.math4.legacy.ode.FieldODEState

Simple constructor.

FieldODEStateAndDerivative<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode

Container for time, main and secondary state vectors as well as their derivatives.

FieldODEStateAndDerivative(T, T[], T[]) - Constructor for class org.apache.commons.math4.legacy.ode.FieldODEStateAndDerivative

Simple constructor.

FieldODEStateAndDerivative(T, T[], T[], T[][], T[][]) - Constructor for class org.apache.commons.math4.legacy.ode.FieldODEStateAndDerivative

Simple constructor.

FieldSecondaryEquations<T extends RealFieldElement<T>> - Interface in org.apache.commons.math4.legacy.ode

This interface allows users to add secondary differential equations to a primary set of differential equations.

FieldStepHandler<T extends RealFieldElement<T>> - Interface in org.apache.commons.math4.legacy.ode.sampling

This interface represents a handler that should be called after each successful step.

FieldStepInterpolator<T extends RealFieldElement<T>> - Interface in org.apache.commons.math4.legacy.ode.sampling

This interface represents an interpolator over the last step during an ODE integration.

FieldStepNormalizer<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode.sampling

This class wraps an object implementing FieldFixedStepHandler into a FieldStepHandler.

FieldStepNormalizer(double, FieldFixedStepHandler<T>) - Constructor for class org.apache.commons.math4.legacy.ode.sampling.FieldStepNormalizer

Simple constructor.

FieldStepNormalizer(double, FieldFixedStepHandler<T>, StepNormalizerBounds) - Constructor for class org.apache.commons.math4.legacy.ode.sampling.FieldStepNormalizer

Simple constructor.

FieldStepNormalizer(double, FieldFixedStepHandler<T>, StepNormalizerMode) - Constructor for class org.apache.commons.math4.legacy.ode.sampling.FieldStepNormalizer

Simple constructor.

FieldStepNormalizer(double, FieldFixedStepHandler<T>, StepNormalizerMode, StepNormalizerBounds) - Constructor for class org.apache.commons.math4.legacy.ode.sampling.FieldStepNormalizer

Simple constructor.

FieldVector<T extends FieldElement<T>> - Interface in org.apache.commons.math4.legacy.linear

Interface defining a field-valued vector with basic algebraic operations.

FieldVectorChangingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math4.legacy.linear

This interface defines a visitor for the entries of a vector.

FieldVectorPreservingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math4.legacy.linear

This interface defines a visitor for the entries of a vector.

fill(T) - Method in class org.apache.commons.math4.legacy.field.linalg.FieldDenseMatrix

Sets all elements to the given value.

filterStep(double, boolean, boolean) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeIntegrator

Filter the integration step.

filterStep(T, boolean, boolean) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeFieldIntegrator

Filter the integration step.

FilterType - Enum in org.apache.commons.math4.legacy.ode.events

Enumerate for filtering events.

finalizeStep() - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Finalize the step.

findMaxY(WeightedObservedPoint[]) - Method in class org.apache.commons.math4.legacy.fitting.SimpleCurveFitter.ParameterGuesser

Finds index of point in specified points with the largest Y.

findSameChromosome(Population) - Method in class org.apache.commons.math4.legacy.genetics.Chromosome

Searches the population for another chromosome with the same representation.

FINITE - Static variable in class org.apache.commons.math4.legacy.core.dfp.Dfp

Indicator value for normal finite numbers.

FiniteDifferencesDifferentiator - Class in org.apache.commons.math4.legacy.analysis.differentiation

Univariate functions differentiator using finite differences.

FiniteDifferencesDifferentiator(int, double) - Constructor for class org.apache.commons.math4.legacy.analysis.differentiation.FiniteDifferencesDifferentiator

Build a differentiator with number of points and step size when independent variable is unbounded.

FiniteDifferencesDifferentiator(int, double, double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.differentiation.FiniteDifferencesDifferentiator

Build a differentiator with number of points and step size when independent variable is bounded.

fireInitializationEvent(IterationEvent) - Method in class org.apache.commons.math4.legacy.linear.IterationManager

Informs all registered listeners that the initial phase (prior to the main iteration loop) has been completed.

fireIterationPerformedEvent(IterationEvent) - Method in class org.apache.commons.math4.legacy.linear.IterationManager

Informs all registered listeners that a new iteration (in the main iteration loop) has been performed.

fireIterationStartedEvent(IterationEvent) - Method in class org.apache.commons.math4.legacy.linear.IterationManager

Informs all registered listeners that a new iteration (in the main iteration loop) has been started.

fireTerminationEvent(IterationEvent) - Method in class org.apache.commons.math4.legacy.linear.IterationManager

Informs all registered listeners that the final phase (post-iterations) has been completed.

FIRST - org.apache.commons.math4.legacy.ode.sampling.StepNormalizerBounds

Include the first point, but not the last point.

FIRST_COLUMNS_NOT_INITIALIZED_YET - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

FIRST_ELEMENT_NOT_ZERO - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

FIRST_ROWS_NOT_INITIALIZED_YET - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

firstIncluded() - Method in enum org.apache.commons.math4.legacy.ode.sampling.StepNormalizerBounds

Returns a value indicating whether the first point should be passed to the underlying fixed step size step handler.

FirstOrderConverter - Class in org.apache.commons.math4.legacy.ode

This class converts second order differential equations to first order ones.

FirstOrderConverter(SecondOrderDifferentialEquations) - Constructor for class org.apache.commons.math4.legacy.ode.FirstOrderConverter

Simple constructor.

FirstOrderDifferentialEquations - Interface in org.apache.commons.math4.legacy.ode

This interface represents a first order differential equations set.

FirstOrderFieldDifferentialEquations<T extends RealFieldElement<T>> - Interface in org.apache.commons.math4.legacy.ode

This interface represents a first order differential equations set.

FirstOrderFieldIntegrator<T extends RealFieldElement<T>> - Interface in org.apache.commons.math4.legacy.ode

This interface represents a first order integrator for differential equations.

FirstOrderIntegrator - Interface in org.apache.commons.math4.legacy.ode

This interface represents a first order integrator for differential equations.

fit(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math4.legacy.fitting.AbstractCurveFitter

Fits a curve.

fit(MixtureMultivariateNormalDistribution) - Method in class org.apache.commons.math4.legacy.distribution.fitting.MultivariateNormalMixtureExpectationMaximization

Fit a mixture model to the data supplied to the constructor.

fit(MixtureMultivariateNormalDistribution, int, double) - Method in class org.apache.commons.math4.legacy.distribution.fitting.MultivariateNormalMixtureExpectationMaximization

Fit a mixture model to the data supplied to the constructor.

fitness() - Method in interface org.apache.commons.math4.legacy.genetics.Fitness

Compute the fitness.

Fitness - Interface in org.apache.commons.math4.legacy.genetics

Fitness of a chromosome.

fix1stArgument(BivariateFunction, double) - Static method in class org.apache.commons.math4.legacy.analysis.FunctionUtils

Creates a unary function by fixing the first argument of a binary function.

fix2ndArgument(BivariateFunction, double) - Static method in class org.apache.commons.math4.legacy.analysis.FunctionUtils

Creates a unary function by fixing the second argument of a binary function.

FIXED - org.apache.commons.math4.legacy.stat.ranking.NaNStrategy

NaNs are left in place.

FixedElapsedTime - Class in org.apache.commons.math4.legacy.genetics

Stops after a fixed amount of time has elapsed.

FixedElapsedTime(long) - Constructor for class org.apache.commons.math4.legacy.genetics.FixedElapsedTime

Create a new FixedElapsedTime instance.

FixedElapsedTime(long, TimeUnit) - Constructor for class org.apache.commons.math4.legacy.genetics.FixedElapsedTime

Create a new FixedElapsedTime instance.

FixedGenerationCount - Class in org.apache.commons.math4.legacy.genetics

Stops after a fixed number of generations.

FixedGenerationCount(int) - Constructor for class org.apache.commons.math4.legacy.genetics.FixedGenerationCount

Create a new FixedGenerationCount instance.

FixedStepHandler - Interface in org.apache.commons.math4.legacy.ode.sampling

This interface represents a handler that should be called after each successful fixed step.

FLAG_DIV_ZERO - Static variable in class org.apache.commons.math4.legacy.core.dfp.DfpField

IEEE 854-1987 flag for division by zero.

FLAG_INEXACT - Static variable in class org.apache.commons.math4.legacy.core.dfp.DfpField

IEEE 854-1987 flag for inexact result.

FLAG_INVALID - Static variable in class org.apache.commons.math4.legacy.core.dfp.DfpField

IEEE 854-1987 flag for invalid operation.

FLAG_OVERFLOW - Static variable in class org.apache.commons.math4.legacy.core.dfp.DfpField

IEEE 854-1987 flag for overflow.

FLAG_UNDERFLOW - Static variable in class org.apache.commons.math4.legacy.core.dfp.DfpField

IEEE 854-1987 flag for underflow.

flatten(Object[]) - Static method in class org.apache.commons.math4.legacy.exception.util.ArgUtils

Transform a multidimensional array into a one-dimensional list.

FLETCHER_REEVES - org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula

Fletcher-Reeves formula.

floor() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Get the largest whole number smaller than instance.

floor() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Get the largest whole number smaller than instance.

floor() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Round to an integer using the round floor mode.

floor() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Get the largest whole number smaller than instance.

floor(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Get the largest whole number smaller than x.

floor(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

Floor - Class in org.apache.commons.math4.legacy.analysis.function

floor function.

Floor() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Floor

floorDiv(int, int) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Finds q such that a = q b + r with 0 <= r < b if b > 0 and b < r <= 0 if b < 0.

floorDiv(int, int) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

floorDiv(long, long) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Finds q such that a = q b + r with 0 <= r < b if b > 0 and b < r <= 0 if b < 0.

floorDiv(long, long) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

floorMod(int, int) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Finds r such that a = q b + r with 0 <= r < b if b > 0 and b < r <= 0 if b < 0.

floorMod(int, int) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

floorMod(long, long) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Finds r such that a = q b + r with 0 <= r < b if b > 0 and b < r <= 0 if b < 0.

floorMod(long, long) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

forceSide(int, UnivariateFunction, BracketedUnivariateSolver<UnivariateFunction>, double, double, double, AllowedSolution) - Static method in class org.apache.commons.math4.legacy.analysis.solvers.UnivariateSolverUtils

Force a root found by a non-bracketing solver to lie on a specified side, as if the solver were a bracketing one.

format(Double) - Method in class org.apache.commons.math4.legacy.util.ComplexFormat

This method calls ComplexFormat.format(Object,StringBuffer,FieldPosition).

format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math4.legacy.util.ComplexFormat

Formats a object to produce a string.

format(RealMatrix) - Method in class org.apache.commons.math4.legacy.linear.RealMatrixFormat

This method calls RealMatrixFormat.format(RealMatrix,StringBuffer,FieldPosition).

format(RealMatrix, StringBuffer, FieldPosition) - Method in class org.apache.commons.math4.legacy.linear.RealMatrixFormat

Formats a RealMatrix object to produce a string.

format(RealVector) - Method in class org.apache.commons.math4.legacy.linear.RealVectorFormat

This method calls RealVectorFormat.format(RealVector,StringBuffer,FieldPosition).

format(RealVector, StringBuffer, FieldPosition) - Method in class org.apache.commons.math4.legacy.linear.RealVectorFormat

Formats a RealVector object to produce a string.

format(Complex) - Method in class org.apache.commons.math4.legacy.util.ComplexFormat

This method calls ComplexFormat.format(Object,StringBuffer,FieldPosition).

format(Complex, StringBuffer, FieldPosition) - Method in class org.apache.commons.math4.legacy.util.ComplexFormat

Formats a Complex object to produce a string.

formatDouble(double, NumberFormat, StringBuffer, FieldPosition) - Static method in class org.apache.commons.math4.legacy.util.CompositeFormat

Formats a double value to produce a string.

fraction(double, double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator

Create a fraction.

fraction(int, int) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator

Create a fraction.

fraction(int, int) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.RungeKuttaFieldIntegrator

Create a fraction.

FRACTION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

FRACTION_CONVERSION_OVERFLOW - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

Frequency<T extends Comparable<T>> - Class in org.apache.commons.math4.legacy.stat

Maintains a frequency distribution.

Frequency() - Constructor for class org.apache.commons.math4.legacy.stat.Frequency

Default constructor.

Frequency(Comparator<T>) - Constructor for class org.apache.commons.math4.legacy.stat.Frequency

Constructor allowing values Comparator to be specified.

from(int, double[]) - Static method in class org.apache.commons.math4.legacy.distribution.EmpiricalDistribution

Factory that creates a new instance from the specified data.

from(int, double[], Function<SummaryStatistics, ContinuousDistribution>) - Static method in class org.apache.commons.math4.legacy.distribution.EmpiricalDistribution

Factory that creates a new instance from the specified data.

from(int, long[], double[][], long[][]) - Static method in class org.apache.commons.math4.neuralnet.Network

Builds a network from a list of neurons and their neighbours.

function(DoubleUnaryOperator, double, double) - Static method in class org.apache.commons.math4.neuralnet.FeatureInitializerFactory

Creates an initializer from a univariate function f(x).

FUNCTION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

FUNCTION_NOT_DIFFERENTIABLE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

FUNCTION_NOT_POLYNOMIAL - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

FunctionUtils - Class in org.apache.commons.math4.legacy.analysis

Utilities for manipulating function objects.

FuzzyKMeansClusterer<T extends Clusterable> - Class in org.apache.commons.math4.legacy.ml.clustering

Fuzzy K-Means clustering algorithm.

FuzzyKMeansClusterer(int, double) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.FuzzyKMeansClusterer

Creates a new instance of a FuzzyKMeansClusterer.

FuzzyKMeansClusterer(int, double, int, DistanceMeasure) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.FuzzyKMeansClusterer

Creates a new instance of a FuzzyKMeansClusterer.

FuzzyKMeansClusterer(int, double, int, DistanceMeasure, double, UniformRandomProvider) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.FuzzyKMeansClusterer

Creates a new instance of a FuzzyKMeansClusterer.

G

g(double[], long[]) - Method in class org.apache.commons.math4.legacy.stat.inference.GTest

Computes the G statistic for Goodness of Fit comparing observed and expected frequency counts.

g(double[], long[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

g(double, double[]) - Method in class org.apache.commons.math4.legacy.ode.events.EventFilter

Compute the value of the switching function.

g(double, double[]) - Method in interface org.apache.commons.math4.legacy.ode.events.EventHandler

Compute the value of the switching function.

g(FieldODEStateAndDerivative<T>) - Method in interface org.apache.commons.math4.legacy.ode.events.FieldEventHandler

Compute the value of the switching function.

gaussian(UniformRandomProvider) - Method in class org.apache.commons.math4.legacy.random.CorrelatedVectorFactory

Gaussian - Class in org.apache.commons.math4.legacy.analysis.function

Gaussian function.

Gaussian() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Gaussian

Normalized gaussian with zero mean and unit standard deviation.

Gaussian(double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.function.Gaussian

Normalized gaussian with given mean and standard deviation.

Gaussian(double, double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.function.Gaussian

Gaussian with given normalization factor, mean and standard deviation.

Gaussian.Parametric - Class in org.apache.commons.math4.legacy.analysis.function

Parametric function where the input array contains the parameters of the Gaussian.

GaussianCurveFitter - Class in org.apache.commons.math4.legacy.fitting

Fits points to a Gaussian function.

GaussianCurveFitter.ParameterGuesser - Class in org.apache.commons.math4.legacy.fitting

Guesses the parameters norm, mean, and sigma of a Gaussian.Parametric based on the specified observed points.

GaussIntegrator - Class in org.apache.commons.math4.legacy.analysis.integration.gauss

Class that implements the Gaussian rule for integrating a weighted function.

GaussIntegrator(double[], double[]) - Constructor for class org.apache.commons.math4.legacy.analysis.integration.gauss.GaussIntegrator

Creates an integrator from the given points and weights.

GaussIntegrator(Pair<double[], double[]>) - Constructor for class org.apache.commons.math4.legacy.analysis.integration.gauss.GaussIntegrator

Creates an integrator from the given pair of points (first element of the pair) and weights (second element of the pair.

GaussIntegratorFactory - Class in org.apache.commons.math4.legacy.analysis.integration.gauss

Class that provides different ways to compute the nodes and weights to be used by the Gaussian integration rule.

GaussIntegratorFactory() - Constructor for class org.apache.commons.math4.legacy.analysis.integration.gauss.GaussIntegratorFactory

GaussNewtonOptimizer - Class in org.apache.commons.math4.legacy.fitting.leastsquares

Gauss-Newton least-squares solver.

GaussNewtonOptimizer() - Constructor for class org.apache.commons.math4.legacy.fitting.leastsquares.GaussNewtonOptimizer

Creates a Gauss Newton optimizer.

GaussNewtonOptimizer(GaussNewtonOptimizer.Decomposition) - Constructor for class org.apache.commons.math4.legacy.fitting.leastsquares.GaussNewtonOptimizer

Create a Gauss Newton optimizer that uses the given decomposition algorithm to solve the normal equations.

GaussNewtonOptimizer.Decomposition - Enum in org.apache.commons.math4.legacy.fitting.leastsquares

The decomposition algorithm to use to solve the normal equations.

GCD_OVERFLOW_32_BITS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

GCD_OVERFLOW_64_BITS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

gDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math4.legacy.stat.inference.GTest

Computes a G (Log-Likelihood Ratio) two sample test statistic for independence comparing frequency counts in observed1 and observed2.

gDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

GeneticAlgorithm - Class in org.apache.commons.math4.legacy.genetics

Implementation of a genetic algorithm.

GeneticAlgorithm(CrossoverPolicy, double, MutationPolicy, double, SelectionPolicy) - Constructor for class org.apache.commons.math4.legacy.genetics.GeneticAlgorithm

Create a new genetic algorithm.

geometricMean(double[]) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the geometric mean of the entries in the input array, or Double.NaN if the array is empty.

geometricMean(double[], int, int) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the geometric mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

GeometricMean - Class in org.apache.commons.math4.legacy.stat.descriptive.moment

Returns the geometric mean of the available values.

GeometricMean() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.GeometricMean

Create a GeometricMean instance.

GeometricMean(GeometricMean) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.GeometricMean

Copy constructor, creates a new GeometricMean identical to the original.

GeometricMean(SumOfLogs) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.GeometricMean

Create a GeometricMean instance using the given SumOfLogs instance.

GEQ - org.apache.commons.math4.legacy.optim.linear.Relationship

Greater than or equal relationship.

get() - Method in class org.apache.commons.math4.legacy.random.HaltonSequenceGenerator

get() - Method in class org.apache.commons.math4.legacy.random.SobolSequenceGenerator

get(int) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.Simplex

Retrieves a copy of the simplex point stored at index.

get(int, int) - Method in class org.apache.commons.math4.legacy.field.linalg.FieldDenseMatrix

Gets an element.

getA() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator

Get the internal weights from Butcher array (without the first empty row).

getA() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince54FieldIntegrator

Get the internal weights from Butcher array (without the first empty row).

getA() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince853FieldIntegrator

Get the internal weights from Butcher array (without the first empty row).

getA() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EulerFieldIntegrator

Get the internal weights from Butcher array (without the first empty row).

getA() - Method in interface org.apache.commons.math4.legacy.ode.nonstiff.FieldButcherArrayProvider

Get the internal weights from Butcher array (without the first empty row).

getA() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.GillFieldIntegrator

Get the internal weights from Butcher array (without the first empty row).

getA() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.HighamHall54FieldIntegrator

Get the internal weights from Butcher array (without the first empty row).

getA() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.LutherFieldIntegrator

Get the internal weights from Butcher array (without the first empty row).

getA() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.MidpointFieldIntegrator

Get the internal weights from Butcher array (without the first empty row).

getA() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.ThreeEighthesFieldIntegrator

Get the internal weights from Butcher array (without the first empty row).

getAbsoluteAccuracy() - Method in class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

Get the absolute accuracy.

getAbsoluteAccuracy() - Method in interface org.apache.commons.math4.legacy.analysis.integration.UnivariateIntegrator

Get the absolute accuracy.

getAbsoluteAccuracy() - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Get the absolute accuracy of the solver.

getAbsoluteAccuracy() - Method in interface org.apache.commons.math4.legacy.analysis.solvers.BaseUnivariateSolver

Get the absolute accuracy of the solver.

getAbsoluteAccuracy() - Method in interface org.apache.commons.math4.legacy.analysis.solvers.BracketedRealFieldUnivariateSolver

Get the absolute accuracy of the solver.

getAbsoluteAccuracy() - Method in class org.apache.commons.math4.legacy.analysis.solvers.FieldBracketingNthOrderBrentSolver

Get the absolute accuracy.

getAbsoluteThreshold() - Method in class org.apache.commons.math4.legacy.optim.AbstractConvergenceChecker

getAbsoluteTolerance() - Method in class org.apache.commons.math4.legacy.optim.BaseOptimizer

getAbsoluteTolerance() - Method in class org.apache.commons.math4.legacy.optim.Tolerance

getAdjustedRSquared() - Method in class org.apache.commons.math4.legacy.stat.regression.RegressionResults

Returns the adjusted R-squared statistic, defined by the formula R2adj = 1 - [SSR (n - 1)] / [SSTO (n - p)] where SSR is the sum of squared residuals}, SSTO is the total sum of squares}, n is the number of observations and p is the number of parameters estimated (including the intercept).

getAgrestiCoullInterval(int, int, double) - Static method in class org.apache.commons.math4.legacy.stat.interval.IntervalUtils

Create an Agresti-Coull binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.

getAllDerivatives() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Get all partial derivatives.

getArgument() - Method in exception org.apache.commons.math4.legacy.exception.MathIllegalNumberException

getArity() - Method in class org.apache.commons.math4.legacy.genetics.TournamentSelection

Gets the arity (number of chromosomes drawn to the tournament).

getAvailableLocales() - Static method in class org.apache.commons.math4.legacy.linear.RealMatrixFormat

Get the set of locales for which real vectors formats are available.

getAvailableLocales() - Static method in class org.apache.commons.math4.legacy.linear.RealVectorFormat

Get the set of locales for which real vectors formats are available.

getAvailableLocales() - Static method in class org.apache.commons.math4.legacy.util.ComplexFormat

Get the set of locales for which complex formats are available.

getB() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator

Get the external weights for the high order method from Butcher array.

getB() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince54FieldIntegrator

Get the external weights for the high order method from Butcher array.

getB() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince853FieldIntegrator

Get the external weights for the high order method from Butcher array.

getB() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EulerFieldIntegrator

Get the external weights for the high order method from Butcher array.

getB() - Method in interface org.apache.commons.math4.legacy.ode.nonstiff.FieldButcherArrayProvider

Get the external weights for the high order method from Butcher array.

getB() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.GillFieldIntegrator

Get the external weights for the high order method from Butcher array.

getB() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.HighamHall54FieldIntegrator

Get the external weights for the high order method from Butcher array.

getB() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.LutherFieldIntegrator

Get the external weights for the high order method from Butcher array.

getB() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.MidpointFieldIntegrator

Get the external weights for the high order method from Butcher array.

getB() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.ThreeEighthesFieldIntegrator

Get the external weights for the high order method from Butcher array.

getBinCount() - Method in class org.apache.commons.math4.legacy.distribution.EmpiricalDistribution

Returns the number of bins.

getBinStats() - Method in class org.apache.commons.math4.legacy.distribution.EmpiricalDistribution

Returns a copy of the SummaryStatistics instances containing statistics describing the values in each of the bins.

getBoundIsAllowed() - Method in exception org.apache.commons.math4.legacy.exception.NumberIsTooLargeException

getBoundIsAllowed() - Method in exception org.apache.commons.math4.legacy.exception.NumberIsTooSmallException

getC() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator

Get the time steps from Butcher array (without the first zero).

getC() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince54FieldIntegrator

Get the time steps from Butcher array (without the first zero).

getC() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince853FieldIntegrator

Get the time steps from Butcher array (without the first zero).

getC() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EulerFieldIntegrator

Get the time steps from Butcher array (without the first zero).

getC() - Method in interface org.apache.commons.math4.legacy.ode.nonstiff.FieldButcherArrayProvider

Get the time steps from Butcher array (without the first zero).

getC() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.GillFieldIntegrator

Get the time steps from Butcher array (without the first zero).

getC() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.HighamHall54FieldIntegrator

Get the time steps from Butcher array (without the first zero).

getC() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.LutherFieldIntegrator

Get the time steps from Butcher array (without the first zero).

getC() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.MidpointFieldIntegrator

Get the time steps from Butcher array (without the first zero).

getC() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.ThreeEighthesFieldIntegrator

Get the time steps from Butcher array (without the first zero).

getCenters() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunctionNewtonForm

Returns a copy of the centers array.

getCheck() - Method in class org.apache.commons.math4.legacy.linear.ConjugateGradient

Returns true if positive-definiteness should be checked for both matrix and preconditioner.

getCheck() - Method in class org.apache.commons.math4.legacy.linear.SymmLQ

Returns true if symmetry of the matrix, and symmetry as well as positive definiteness of the preconditioner should be checked.

getChiSquare() - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.AbstractEvaluation

Get the sum of the squares of the residuals.

getChiSquare() - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresProblem.Evaluation

Get the sum of the squares of the residuals.

getChromosomeList() - Method in class org.apache.commons.math4.legacy.genetics.ListPopulation

Access the list of chromosomes.

getChromosomes() - Method in class org.apache.commons.math4.legacy.genetics.ListPopulation

Returns an unmodifiable list of the chromosomes in this population.

getClopperPearsonInterval(int, int, double) - Static method in class org.apache.commons.math4.legacy.stat.interval.IntervalUtils

Create a Clopper-Pearson binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.

getClusters() - Method in class org.apache.commons.math4.legacy.ml.clustering.FuzzyKMeansClusterer

Returns the list of clusters resulting from the last call to FuzzyKMeansClusterer.cluster(Collection).

getCoefficients() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunction

Returns a copy of the coefficients array.

getCoefficients() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunctionLagrangeForm

Returns a copy of the coefficients array.

getCoefficients() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunctionNewtonForm

Returns a copy of the coefficients array.

getCoefficients() - Method in class org.apache.commons.math4.legacy.analysis.solvers.AbstractPolynomialSolver

getCoefficients() - Method in class org.apache.commons.math4.legacy.optim.linear.LinearConstraint

Gets the coefficients of the constraint (left hand side).

getCoefficients() - Method in class org.apache.commons.math4.legacy.optim.linear.LinearObjectiveFunction

Gets the coefficients of the linear equation being optimized.

getColumn() - Method in exception org.apache.commons.math4.legacy.linear.NonPositiveDefiniteMatrixException

getColumn() - Method in exception org.apache.commons.math4.legacy.linear.NonSymmetricMatrixException

getColumn() - Method in class org.apache.commons.math4.neuralnet.twod.util.LocationFinder.Location

getColumn(int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Get the entries in column number col as an array.

getColumn(int) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Get the entries at the given column index as an array.

getColumn(int) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Get the entries in column number col as an array.

getColumn(int) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Get the entries at the given column index as an array.

getColumn(int) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Get the entries in column number col as an array.

getColumn(int) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Get the entries at the given column index as an array.

getColumnDimension() - Method in class org.apache.commons.math4.legacy.field.linalg.FieldDenseMatrix

Gets the number of columns.

getColumnDimension() - Method in interface org.apache.commons.math4.legacy.linear.AnyMatrix

Gets the number of columns.

getColumnDimension() - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Gets the number of columns.

getColumnDimension() - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Returns the dimension of the domain of this operator.

getColumnDimension() - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Gets the number of columns.

getColumnDimension() - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Returns the dimension of the domain of this operator.

getColumnDimension() - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Returns the dimension of the domain of this operator.

getColumnDimension() - Method in class org.apache.commons.math4.legacy.linear.JacobiPreconditioner

Returns the dimension of the domain of this operator.

getColumnDimension() - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealMatrix

Returns the dimension of the domain of this operator.

getColumnDimension() - Method in class org.apache.commons.math4.legacy.linear.RealLinearOperator

Returns the dimension of the domain of this operator.

getColumnDimension() - Method in class org.apache.commons.math4.legacy.linear.SparseFieldMatrix

Gets the number of columns.

getColumnMatrix(int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Get the entries in column number column as a column matrix.

getColumnMatrix(int) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Get the entries at the given column index as a column matrix.

getColumnMatrix(int) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Get the entries in column number column as a column matrix.

getColumnMatrix(int) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Get the entries at the given column index as a column matrix.

getColumnMatrix(int) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Get the entries in column number column as a column matrix.

getColumnMatrix(int) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Get the entries at the given column index as a column matrix.

getColumnSeparator() - Method in class org.apache.commons.math4.legacy.linear.RealMatrixFormat

Get the format separator between components.

getColumnVector(int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Returns the entries in column number column as a vector.

getColumnVector(int) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Get the entries at the given column index as a vector.

getColumnVector(int) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Returns the entries in column number column as a vector.

getColumnVector(int) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Get the entries at the given column index as a vector.

getColumnVector(int) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Returns the entries in column number column as a vector.

getColumnVector(int) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Get the entries at the given column index as a vector.

getCompiler(int, int) - Static method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Get the compiler for number of free parameters and order.

getCompleteState() - Method in class org.apache.commons.math4.legacy.ode.ExpandableStatefulODE

Get the complete current state.

getComponents() - Method in class org.apache.commons.math4.legacy.distribution.MixtureMultivariateRealDistribution

Gets the distributions that make up the mixture model.

getConditionNumber() - Method in class org.apache.commons.math4.legacy.linear.SingularValueDecomposition

Return the condition number of the matrix.

getConfidenceLevel() - Method in class org.apache.commons.math4.legacy.stat.interval.ConfidenceInterval

getConstantTerm() - Method in class org.apache.commons.math4.legacy.optim.linear.LinearObjectiveFunction

Gets the constant of the linear equation being optimized.

getConstraints() - Method in class org.apache.commons.math4.legacy.optim.linear.LinearConstraintSet

Gets the set of linear constraints.

getConstraints() - Method in class org.apache.commons.math4.legacy.optim.linear.LinearOptimizer

getContext() - Method in exception org.apache.commons.math4.legacy.exception.MathRuntimeException

Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.

getContext() - Method in exception org.apache.commons.math4.legacy.exception.NullArgumentException

Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.

getContext() - Method in interface org.apache.commons.math4.legacy.exception.util.ExceptionContextProvider

Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.

getControlMatrix() - Method in class org.apache.commons.math4.legacy.filter.DefaultProcessModel

Returns the control matrix.

getControlMatrix() - Method in interface org.apache.commons.math4.legacy.filter.ProcessModel

Returns the control matrix.

getConvergence() - Method in class org.apache.commons.math4.legacy.ode.events.EventState

Get the convergence threshold for event localization.

getConvergence() - Method in class org.apache.commons.math4.legacy.ode.events.FieldEventState

Get the convergence threshold for event localization.

getConvergenceChecker() - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresAdapter

Gets the convergence checker.

getConvergenceChecker() - Method in class org.apache.commons.math4.legacy.optim.AbstractOptimizationProblem

Gets the convergence checker.

getConvergenceChecker() - Method in class org.apache.commons.math4.legacy.optim.BaseOptimizer

Gets the convergence checker.

getConvergenceChecker() - Method in interface org.apache.commons.math4.legacy.optim.OptimizationProblem

Gets the convergence checker.

getCoolingSchedule() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.SimulatedAnnealing

getCorrelationMatrix() - Method in class org.apache.commons.math4.legacy.stat.correlation.KendallsCorrelation

Returns the correlation matrix.

getCorrelationMatrix() - Method in class org.apache.commons.math4.legacy.stat.correlation.PearsonsCorrelation

Returns the correlation matrix.

getCorrelationMatrix() - Method in class org.apache.commons.math4.legacy.stat.correlation.SpearmansCorrelation

Calculate the Spearman Rank Correlation Matrix.

getCorrelationPValues() - Method in class org.apache.commons.math4.legacy.stat.correlation.PearsonsCorrelation

Returns a matrix of p-values associated with the (two-sided) null hypothesis that the corresponding correlation coefficient is zero.

getCorrelationStandardErrors() - Method in class org.apache.commons.math4.legacy.stat.correlation.PearsonsCorrelation

Returns a matrix of standard errors associated with the estimates in the correlation matrix.
getCorrelationStandardErrors().getEntry(i,j) is the standard error associated with getCorrelationMatrix.getEntry(i,j)

getCost() - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.AbstractEvaluation

Get the cost.

getCost() - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresProblem.Evaluation

Get the cost.

getCostRelativeTolerance() - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LevenbergMarquardtOptimizer

Gets the value of a tuning parameter.

getCount() - Method in class org.apache.commons.math4.legacy.core.IntegerSequence.Incrementor

Gets the current count.

getCount(T) - Method in class org.apache.commons.math4.legacy.stat.Frequency

Returns the number of values equal to v.

getCounter() - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Get the evaluations counter.

getCovariance() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns the covariance matrix of the values that have been added.

getCovariance() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StatisticalMultivariateSummary

Returns the covariance of the available values.

getCovariance() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the covariance matrix of the values that have been added.

getCovariance(double) - Method in class org.apache.commons.math4.legacy.linear.SingularValueDecomposition

Returns the n × n covariance matrix.

getCovariance(int, int) - Method in class org.apache.commons.math4.legacy.stat.correlation.StorelessCovariance

Get the covariance for an individual element of the covariance matrix.

getCovarianceMatrix() - Method in class org.apache.commons.math4.legacy.stat.correlation.Covariance

Returns the covariance matrix.

getCovarianceMatrix() - Method in class org.apache.commons.math4.legacy.stat.correlation.StorelessCovariance

Returns the covariance matrix.

getCovarianceOfParameters(int, int) - Method in class org.apache.commons.math4.legacy.stat.regression.RegressionResults

Returns the covariance between regression parameters i and j.

getCovariances() - Method in class org.apache.commons.math4.legacy.distribution.MultivariateNormalDistribution

Gets the covariance matrix.

getCovariances(double) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.AbstractEvaluation

Get the covariance matrix of the optimized parameters.

getCovariances(double) - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresProblem.Evaluation

Get the covariance matrix of the optimized parameters.

getCrossoverPoints() - Method in class org.apache.commons.math4.legacy.genetics.NPointCrossover

Returns the number of crossover points used by this CrossoverPolicy.

getCrossoverPolicy() - Method in class org.apache.commons.math4.legacy.genetics.GeneticAlgorithm

Returns the crossover policy.

getCrossoverRate() - Method in class org.apache.commons.math4.legacy.genetics.GeneticAlgorithm

Returns the crossover rate.

getCumFreq(T) - Method in class org.apache.commons.math4.legacy.stat.Frequency

Returns the cumulative frequency of values less than or equal to v.

getCumPct(T) - Method in class org.apache.commons.math4.legacy.stat.Frequency

Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).

getCurrentMainSetJacobian(double[][]) - Method in class org.apache.commons.math4.legacy.ode.JacobianMatrices

Get the current value of the Jacobian matrix with respect to state.

getCurrentParameterJacobian(String, double[]) - Method in class org.apache.commons.math4.legacy.ode.JacobianMatrices

Get the current value of the Jacobian matrix with respect to one parameter.

getCurrentSignedStepsize() - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Get the current signed value of the integration stepsize.

getCurrentSignedStepsize() - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Get the current signed value of the integration stepsize.

getCurrentSignedStepsize() - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderFieldIntegrator

Get the current signed value of the integration stepsize.

getCurrentSignedStepsize() - Method in interface org.apache.commons.math4.legacy.ode.ODEIntegrator

Get the current signed value of the integration stepsize.

getCurrentState() - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractFieldStepInterpolator

Get the state at current grid point time.

getCurrentState() - Method in interface org.apache.commons.math4.legacy.ode.sampling.FieldStepInterpolator

Get the state at current grid point time.

getCurrentStepStart() - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Get the current value of the step start time t_i.

getCurrentStepStart() - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Get the current value of the step start time t_i.

getCurrentStepStart() - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderFieldIntegrator

Get the current value of the step start time t_i.

getCurrentStepStart() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeIntegrator

Get the current value of the step start time t_i.

getCurrentStepStart() - Method in interface org.apache.commons.math4.legacy.ode.ODEIntegrator

Get the current value of the step start time t_i.

getCurrentTime() - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Get the current soft grid point time.

getCurrentTime() - Method in interface org.apache.commons.math4.legacy.ode.sampling.StepInterpolator

Get the current grid point time.

getD() - Method in class org.apache.commons.math4.legacy.linear.EigenDecomposition

Gets the block diagonal matrix D of the decomposition.

getData() - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Returns matrix entries as a two-dimensional array.

getData() - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Returns matrix entries as a two-dimensional array.

getData() - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Returns matrix entries as a two-dimensional array.

getData() - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Returns matrix entries as a two-dimensional array.

getData() - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Returns matrix entries as a two-dimensional array.

getData() - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Returns matrix entries as a two-dimensional array.

getData() - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Returns matrix entries as a two-dimensional array.

getData() - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Returns matrix entries as a two-dimensional array.

getData() - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Returns matrix entries as a two-dimensional array.

getData() - Method in class org.apache.commons.math4.legacy.stat.correlation.StorelessCovariance

Return the covariance matrix as two-dimensional array.

getData() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AbstractUnivariateStatistic

Get a copy of the stored data array.

getDataPoints() - Method in class org.apache.commons.math4.legacy.ml.clustering.FuzzyKMeansClusterer

Returns an unmodifiable list of the data points used in the last call to FuzzyKMeansClusterer.cluster(Collection).

getDataRef() - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Get a reference to the underlying data array.

getDataRef() - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Get a reference to the underlying data array.

getDataRef() - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Returns a reference to the underlying data array.

getDataRef() - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Get a reference to the underlying data array.

getDataRef() - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Gets a reference to the underlying data array.

getDataRef() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AbstractUnivariateStatistic

Get a reference to the stored data array.

getDecimalDigits() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpDec

Get the number of decimal digits this class is going to represent.

getDecomposition() - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.GaussNewtonOptimizer

Get the matrix decomposition algorithm used to solve the normal equations.

getDefaultNumberFormat() - Static method in class org.apache.commons.math4.legacy.util.CompositeFormat

Create a default number format.

getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math4.legacy.util.CompositeFormat

Create a default number format.

getDerivative() - Method in class org.apache.commons.math4.legacy.ode.FieldODEStateAndDerivative

Get derivative of the main state at time.

getDerivative(int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Get the derivative with respect to a particular index variable.

getDeterminant() - Method in class org.apache.commons.math4.legacy.field.linalg.FieldLUDecomposition

Return the determinant of the matrix.

getDeterminant() - Method in class org.apache.commons.math4.legacy.linear.CholeskyDecomposition

Return the determinant of the matrix.

getDeterminant() - Method in class org.apache.commons.math4.legacy.linear.EigenDecomposition

Computes the determinant of the matrix.

getDeterminant() - Method in class org.apache.commons.math4.legacy.linear.FieldLUDecomposition

Return the determinant of the matrix.

getDeterminant() - Method in class org.apache.commons.math4.legacy.linear.LUDecomposition

Return the determinant of the matrix.

getDiagonalOfHatMatrix(double[]) - Method in class org.apache.commons.math4.legacy.stat.regression.MillerUpdatingRegression

Gets the diagonal of the Hat matrix also known as the leverage matrix.

getDimension() - Method in class org.apache.commons.math4.legacy.analysis.interpolation.InterpolatingMicrosphere

Get the space dimensionality.

getDimension() - Method in class org.apache.commons.math4.legacy.distribution.AbstractMultivariateRealDistribution

Gets the number of random variables of the distribution.

getDimension() - Method in interface org.apache.commons.math4.legacy.distribution.MultivariateRealDistribution

Gets the number of random variables of the distribution.

getDimension() - Method in exception org.apache.commons.math4.legacy.exception.DimensionMismatchException

getDimension() - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Returns the size of the vector.

getDimension() - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Returns the size of the vector.

getDimension() - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Returns the size of the vector.

getDimension() - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Returns the size of the vector.

getDimension() - Method in class org.apache.commons.math4.legacy.linear.RealVector

Returns the size of the vector.

getDimension() - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Returns the size of the vector.

getDimension() - Method in class org.apache.commons.math4.legacy.ode.EquationsMapper

Get the dimension of the secondary state parameters.

getDimension() - Method in interface org.apache.commons.math4.legacy.ode.FieldSecondaryEquations

Get the dimension of the secondary state parameters.

getDimension() - Method in class org.apache.commons.math4.legacy.ode.FirstOrderConverter

Get the dimension of the problem.

getDimension() - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderDifferentialEquations

Get the dimension of the problem.

getDimension() - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderFieldDifferentialEquations

Get the dimension of the problem.

getDimension() - Method in interface org.apache.commons.math4.legacy.ode.SecondaryEquations

Get the dimension of the secondary state parameters.

getDimension() - Method in interface org.apache.commons.math4.legacy.ode.SecondOrderDifferentialEquations

Get the dimension of the problem.

getDimension() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.Simplex

Returns the space dimension.

getDimension() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns the dimension of the data.

getDimension() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StatisticalMultivariateSummary

Returns the dimension of the data.

getDimension() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the dimension of the data.

getDistance(OpenMapRealVector) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Optimized method to compute distance.

getDistance(RealVector) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Distance between two vectors.

getDistance(RealVector) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Distance between two vectors.

getDistance(RealVector) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Distance between two vectors.

getDistanceMeasure() - Method in class org.apache.commons.math4.legacy.ml.clustering.Clusterer

Returns the DistanceMeasure instance used by this clusterer.

getE() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the constant e.

getEigenvector(int) - Method in class org.apache.commons.math4.legacy.linear.EigenDecomposition

Gets a copy of the i^th eigenvector of the original matrix.

getElement(int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the element at the specified index.

getElement(int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedDescriptiveStatistics

Returns the element at the specified index.

getElitismRate() - Method in class org.apache.commons.math4.legacy.genetics.ElitisticListPopulation

Access the elitism rate.

getEndProbability() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.SimulatedAnnealing

getEntry(int) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Returns the entry in the specified index.

getEntry(int) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Return the entry at the specified index.

getEntry(int) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Returns the entry in the specified index.

getEntry(int) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Return the entry at the specified index.

getEntry(int) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Return the entry at the specified index.

getEntry(int) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Returns the entry in the specified index.

getEntry(int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Returns the entry in the specified row and column.

getEntry(int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Get the entry in the specified row and column.

getEntry(int, int) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Returns the entry in the specified row and column.

getEntry(int, int) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Get the entry in the specified row and column.

getEntry(int, int) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Returns the entry in the specified row and column.

getEntry(int, int) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Get the entry in the specified row and column.

getEntry(int, int) - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Get the entry in the specified row and column.

getEntry(int, int) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Returns the entry in the specified row and column.

getEntry(int, int) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealMatrix

Get the entry in the specified row and column.

getEntry(int, int) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Get the entry in the specified row and column.

getEntry(int, int) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldMatrix

Returns the entry in the specified row and column.

getEpochDuration() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.SimulatedAnnealing

getEps() - Method in class org.apache.commons.math4.legacy.ml.clustering.DBSCANClusterer

Returns the maximum radius of the neighborhood to be considered.

getEpsilon() - Method in class org.apache.commons.math4.legacy.ml.clustering.FuzzyKMeansClusterer

Returns the convergence criteria used by this instance.

getEquations() - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Get the differential equations to integrate.

getErrorCovariance() - Method in class org.apache.commons.math4.legacy.filter.KalmanFilter

Returns the current error covariance matrix.

getErrorCovarianceMatrix() - Method in class org.apache.commons.math4.legacy.filter.KalmanFilter

Returns a copy of the current error covariance matrix.

getErrorSumSquares() - Method in class org.apache.commons.math4.legacy.stat.regression.RegressionResults

Returns the sum of squared errors (SSE) associated with the regression model.

getESplit() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the constant e split in two pieces.

getEstimationType() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Get the estimation type used for computation.

getEvaluationCounter() - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresAdapter

Get a independent Incrementor that counts up to the maximum number of evaluations and then throws an exception.

getEvaluationCounter() - Method in class org.apache.commons.math4.legacy.optim.AbstractOptimizationProblem

Get a independent Incrementor that counts up to the maximum number of evaluations and then throws an exception.

getEvaluationCounter() - Method in interface org.apache.commons.math4.legacy.optim.OptimizationProblem

Get a independent Incrementor that counts up to the maximum number of evaluations and then throws an exception.

getEvaluations() - Method in class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

Get the number of function evaluations of the last run of the integrator.

getEvaluations() - Method in interface org.apache.commons.math4.legacy.analysis.integration.UnivariateIntegrator

Get the number of function evaluations of the last run of the integrator.

getEvaluations() - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Get the number of evaluations of the objective function.

getEvaluations() - Method in interface org.apache.commons.math4.legacy.analysis.solvers.BaseUnivariateSolver

Get the number of evaluations of the objective function.

getEvaluations() - Method in interface org.apache.commons.math4.legacy.analysis.solvers.BracketedRealFieldUnivariateSolver

Get the number of evaluations of the objective function.

getEvaluations() - Method in class org.apache.commons.math4.legacy.analysis.solvers.FieldBracketingNthOrderBrentSolver

Get the number of evaluations of the objective function.

getEvaluations() - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresOptimizer.Optimum

Get the number of times the model was evaluated in order to produce this optimum.

getEvaluations() - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Get the number of evaluations of the differential equations function.

getEvaluations() - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Get the number of evaluations of the differential equations function.

getEvaluations() - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderFieldIntegrator

Get the number of evaluations of the differential equations function.

getEvaluations() - Method in interface org.apache.commons.math4.legacy.ode.ODEIntegrator

Get the number of evaluations of the differential equations function.

getEvaluations() - Method in class org.apache.commons.math4.legacy.optim.BaseMultiStartMultivariateOptimizer

Gets the number of evaluations of the objective function.

getEvaluations() - Method in class org.apache.commons.math4.legacy.optim.BaseOptimizer

Gets the number of evaluations of the objective function.

getEvaluations() - Method in class org.apache.commons.math4.legacy.optim.univariate.BracketFinder

getEvaluations() - Method in class org.apache.commons.math4.legacy.optim.univariate.MultiStartUnivariateOptimizer

Gets the number of evaluations of the objective function.

getEvaluationsCounter() - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Get the evaluations counter.

getEventHandler() - Method in class org.apache.commons.math4.legacy.ode.events.EventState

Get the underlying event handler.

getEventHandler() - Method in class org.apache.commons.math4.legacy.ode.events.FieldEventState

Get the underlying event handler.

getEventHandlers() - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Get all the event handlers that have been added to the integrator.

getEventHandlers() - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Get all the event handlers that have been added to the integrator.

getEventHandlers() - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderFieldIntegrator

Get all the event handlers that have been added to the integrator.

getEventHandlers() - Method in interface org.apache.commons.math4.legacy.ode.ODEIntegrator

Get all the event handlers that have been added to the integrator.

getEventTime() - Method in class org.apache.commons.math4.legacy.ode.events.EventState

Get the occurrence time of the event triggered in the current step.

getEventTime() - Method in class org.apache.commons.math4.legacy.ode.events.FieldEventState

Get the occurrence time of the event triggered in the current step.

getExpandable() - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Get the differential equations to integrate.

getExpectedColumnDimension() - Method in exception org.apache.commons.math4.legacy.linear.MatrixDimensionMismatchException

getExpectedDimension(int) - Method in exception org.apache.commons.math4.legacy.exception.MultiDimensionMismatchException

getExpectedDimensions() - Method in exception org.apache.commons.math4.legacy.exception.MultiDimensionMismatchException

getExpectedRowDimension() - Method in exception org.apache.commons.math4.legacy.linear.MatrixDimensionMismatchException

getExponent() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Return the exponent of the instance value, removing the bias.

getExponent(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Return the exponent of a double number, removing the bias.

getExponent(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

getExponent(float) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Return the exponent of a float number, removing the bias.

getExponent(float) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

getFeatures() - Method in class org.apache.commons.math4.neuralnet.Neuron

Gets the neuron's features.

getFeatures(int) - Method in class org.apache.commons.math4.neuralnet.oned.NeuronString

Retrieves the features set from the neuron at location i in the map.

getFeaturesSize() - Method in class org.apache.commons.math4.neuralnet.Network

Gets the size of the neurons' features set.

getFHi() - Method in exception org.apache.commons.math4.legacy.exception.NoBracketingException

Get the value at the higher end of the interval.

getFHi() - Method in class org.apache.commons.math4.legacy.optim.univariate.BracketFinder

Get function value at BracketFinder.getHi().

getField() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Get the Field to which the instance belongs.

getField() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Get the Field to which the instance belongs.

getField() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Get the Field (really a DfpField) to which the instance belongs.

getField() - Method in interface org.apache.commons.math4.legacy.core.FieldElement

Get the Field to which the instance belongs.

getField() - Method in class org.apache.commons.math4.legacy.field.linalg.FieldDenseMatrix

getField() - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Get the type of field elements of the matrix.

getField() - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Get the type of field elements of the vector.

getField() - Method in class org.apache.commons.math4.legacy.linear.BigReal

Get the Field to which the instance belongs.

getField() - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Get the type of field elements of the matrix.

getField() - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Get the type of field elements of the vector.

getField() - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Get the type of field elements of the vector.

getField() - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Get the field to which state vector elements belong.

getFinalTime() - Method in class org.apache.commons.math4.legacy.ode.ContinuousOutputFieldModel

Get the final integration time.

getFinalTime() - Method in class org.apache.commons.math4.legacy.ode.ContinuousOutputModel

Get the final integration time.

getFirst() - Method in class org.apache.commons.math4.legacy.core.Pair

Get the first element of the pair.

getFirst() - Method in class org.apache.commons.math4.legacy.genetics.ChromosomePair

Access the first chromosome.

getFirstIndex() - Method in class org.apache.commons.math4.legacy.ode.EquationsMapper

Get the index of the first equation element in complete state arrays.

getFitness() - Method in class org.apache.commons.math4.legacy.genetics.Chromosome

Access the fitness of this chromosome.

getFittedModel() - Method in class org.apache.commons.math4.legacy.distribution.fitting.MultivariateNormalMixtureExpectationMaximization

Gets the fitted model.

getFittestChromosome() - Method in class org.apache.commons.math4.legacy.genetics.ListPopulation

Access the fittest chromosome in this population.

getFittestChromosome() - Method in interface org.apache.commons.math4.legacy.genetics.Population

Access the fittest chromosome in this population.

getFLo() - Method in exception org.apache.commons.math4.legacy.exception.NoBracketingException

Get the value at the lower end of the interval.

getFLo() - Method in class org.apache.commons.math4.legacy.optim.univariate.BracketFinder

Get function value at BracketFinder.getLo().

getFMid() - Method in class org.apache.commons.math4.legacy.optim.univariate.BracketFinder

Get function value at BracketFinder.getMid().

getFormat() - Method in class org.apache.commons.math4.legacy.linear.RealMatrixFormat

Get the components format.

getFormat() - Method in class org.apache.commons.math4.legacy.linear.RealVectorFormat

Get the components format.

getFreeParameters() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Get the number of free parameters.

getFreeParameters() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Get the number of free parameters.

getFrobeniusNorm() - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Returns the Frobenius norm of the matrix.

getFrobeniusNorm() - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Returns the Frobenius norm of the matrix.

getFrobeniusNorm() - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Returns the Frobenius norm of the matrix.

getFunction() - Method in class org.apache.commons.math4.legacy.optim.linear.LinearOptimizer

getFunctionValueAccuracy() - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Get the function value accuracy of the solver.

getFunctionValueAccuracy() - Method in interface org.apache.commons.math4.legacy.analysis.solvers.BaseUnivariateSolver

Get the function value accuracy of the solver.

getFunctionValueAccuracy() - Method in interface org.apache.commons.math4.legacy.analysis.solvers.BracketedRealFieldUnivariateSolver

Get the function value accuracy of the solver.

getFunctionValueAccuracy() - Method in class org.apache.commons.math4.legacy.analysis.solvers.FieldBracketingNthOrderBrentSolver

Get the function accuracy.

getFuzziness() - Method in class org.apache.commons.math4.legacy.ml.clustering.FuzzyKMeansClusterer

Returns the fuzziness factor used by this instance.

getGenerationsEvolved() - Method in class org.apache.commons.math4.legacy.genetics.GeneticAlgorithm

Returns the number of generations evolved to reach StoppingCondition in the last run.

getGeneratorUpperBounds() - Method in class org.apache.commons.math4.legacy.distribution.EmpiricalDistribution

Returns the upper bounds of the subintervals of [0, 1] used in generating data from the empirical distribution.

getGeoMeanImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns the currently configured geometric mean implementation.

getGeoMeanImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the currently configured geometric mean implementation.

getGeoMeanImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the currently configured geometric mean implementation.

getGeoMeanImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns the currently configured geometric mean implementation.

getGeometricMean() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AggregateSummaryStatistics

Returns the geometric mean of all the aggregated data.

getGeometricMean() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the geometric mean of the available values.

getGeometricMean() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns an array whose i^th entry is the geometric mean of the.

getGeometricMean() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StatisticalMultivariateSummary

Returns an array whose i^th entry is the.

getGeometricMean() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the geometric mean of the values that have been added.

getGeometricMean() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns an array whose i^th entry is the geometric mean of the.

getGeometricMean() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns the geometric mean of the values that have been added.

getGeometricMeanImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the currently configured geometric mean implementation.

getGlobalCurrentState() - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractFieldStepInterpolator

Get the current global grid point state.

getGlobalCurrentTime() - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Get the current global grid point time.

getGlobalPreviousState() - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractFieldStepInterpolator

Get the previous global grid point state.

getGlobalPreviousTime() - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Get the previous global grid point time.

getGoalType() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.MultivariateOptimizer

getGoalType() - Method in class org.apache.commons.math4.legacy.optim.univariate.UnivariateOptimizer

getH() - Method in class org.apache.commons.math4.legacy.linear.QRDecomposition

Returns the Householder reflector vectors.

getHi() - Method in exception org.apache.commons.math4.legacy.exception.NoBracketingException

Get the higher end of the interval.

getHi() - Method in exception org.apache.commons.math4.legacy.exception.OutOfRangeException

getHi() - Method in class org.apache.commons.math4.legacy.optim.univariate.BracketFinder

getIdentifier() - Method in class org.apache.commons.math4.neuralnet.Neuron

Gets the neuron's identifier.

getIEEEFlags() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the IEEE 854 status flags.

getImagEigenvalue(int) - Method in class org.apache.commons.math4.legacy.linear.EigenDecomposition

Gets the imaginary part of the i^th eigenvalue of the original matrix.

getImagEigenvalues() - Method in class org.apache.commons.math4.legacy.linear.EigenDecomposition

Gets a copy of the imaginary parts of the eigenvalues of the original matrix.

getImaginaryCharacter() - Method in class org.apache.commons.math4.legacy.util.ComplexFormat

Access the imaginaryCharacter.

getImaginaryFormat() - Method in class org.apache.commons.math4.legacy.util.ComplexFormat

Access the imaginaryFormat.

getIncreasing() - Method in exception org.apache.commons.math4.legacy.exception.NonMonotonicSequenceException

getIndex() - Method in exception org.apache.commons.math4.legacy.exception.NonMonotonicSequenceException

Get the index of the wrong value.

getIndex() - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector.OpenMapEntry

Get the index of the entry.

getIndex() - Method in class org.apache.commons.math4.legacy.linear.RealVector.Entry

Get the index of the entry.

getInitialBracketingRange() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.LineSearchTolerance

getInitialErrorCovariance() - Method in class org.apache.commons.math4.legacy.filter.DefaultProcessModel

Returns the initial error covariance matrix.

getInitialErrorCovariance() - Method in interface org.apache.commons.math4.legacy.filter.ProcessModel

Returns the initial error covariance matrix.

getInitialGuess() - Method in class org.apache.commons.math4.legacy.optim.InitialGuess

Gets the initial guess.

getInitialStateEstimate() - Method in class org.apache.commons.math4.legacy.filter.DefaultProcessModel

Returns the initial state estimation vector.

getInitialStateEstimate() - Method in interface org.apache.commons.math4.legacy.filter.ProcessModel

Returns the initial state estimation vector.

getInitialStepBoundFactor() - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LevenbergMarquardtOptimizer

Gets the value of a tuning parameter.

getInitialTime() - Method in class org.apache.commons.math4.legacy.ode.ContinuousOutputFieldModel

Get the initial integration time.

getInitialTime() - Method in class org.apache.commons.math4.legacy.ode.ContinuousOutputModel

Get the initial integration time.

getInstance() - Static method in class org.apache.commons.math4.legacy.linear.BigRealField

Get the unique instance.

getInstance() - Static method in class org.apache.commons.math4.legacy.linear.RealMatrixFormat

Returns the default real vector format for the current locale.

getInstance() - Static method in class org.apache.commons.math4.legacy.linear.RealVectorFormat

Returns the default real vector format for the current locale.

getInstance() - Static method in class org.apache.commons.math4.legacy.ode.sampling.DummyStepHandler

Get the only instance.

getInstance() - Static method in class org.apache.commons.math4.legacy.util.ComplexFormat

Returns the default complex format for the current locale.

getInstance(int) - Static method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsNordsieckTransformer

Get the Nordsieck transformer for a given number of steps.

getInstance(String, Locale) - Static method in class org.apache.commons.math4.legacy.util.ComplexFormat

Returns the default complex format for the given locale.

getInstance(Locale) - Static method in class org.apache.commons.math4.legacy.linear.RealMatrixFormat

Returns the default real vector format for the given locale.

getInstance(Locale) - Static method in class org.apache.commons.math4.legacy.linear.RealVectorFormat

Returns the default real vector format for the given locale.

getInstance(Locale) - Static method in class org.apache.commons.math4.legacy.util.ComplexFormat

Returns the default complex format for the given locale.

getInstance(Field<T>, int) - Static method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsNordsieckFieldTransformer

Get the Nordsieck transformer for a given field and number of steps.

getIntercept() - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Returns the intercept of the estimated regression line, if SimpleRegression.hasIntercept() is true; otherwise 0.

getInterceptStdErr() - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Returns the standard error of the intercept estimate, usually denoted s(b0).

getInterpolatedDerivatives() - Method in class org.apache.commons.math4.legacy.ode.ContinuousOutputModel

Get the derivatives of the state vector of the interpolated point.

getInterpolatedDerivatives() - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Get the derivatives of the state vector of the interpolated point.

getInterpolatedDerivatives() - Method in interface org.apache.commons.math4.legacy.ode.sampling.StepInterpolator

Get the derivatives of the state vector of the interpolated point.

getInterpolatedSecondaryDerivatives(int) - Method in class org.apache.commons.math4.legacy.ode.ContinuousOutputModel

Get the interpolated secondary derivatives corresponding to the secondary equations.

getInterpolatedSecondaryDerivatives(int) - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Get the interpolated secondary derivatives corresponding to the secondary equations.

getInterpolatedSecondaryDerivatives(int) - Method in interface org.apache.commons.math4.legacy.ode.sampling.StepInterpolator

Get the interpolated secondary derivatives corresponding to the secondary equations.

getInterpolatedSecondaryState(int) - Method in class org.apache.commons.math4.legacy.ode.ContinuousOutputModel

Get the interpolated secondary state corresponding to the secondary equations.

getInterpolatedSecondaryState(int) - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Get the interpolated secondary state corresponding to the secondary equations.

getInterpolatedSecondaryState(int) - Method in interface org.apache.commons.math4.legacy.ode.sampling.StepInterpolator

Get the interpolated secondary state corresponding to the secondary equations.

getInterpolatedState() - Method in class org.apache.commons.math4.legacy.ode.ContinuousOutputModel

Get the state vector of the interpolated point.

getInterpolatedState() - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Get the state vector of the interpolated point.

getInterpolatedState() - Method in interface org.apache.commons.math4.legacy.ode.sampling.StepInterpolator

Get the state vector of the interpolated point.

getInterpolatedState(T) - Method in class org.apache.commons.math4.legacy.ode.ContinuousOutputFieldModel

Get the state at interpolated time.

getInterpolatedState(T) - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractFieldStepInterpolator

Get the state at interpolated time.

getInterpolatedState(T) - Method in interface org.apache.commons.math4.legacy.ode.sampling.FieldStepInterpolator

Get the state at interpolated time.

getInterpolatedStateVariation() - Method in class org.apache.commons.math4.legacy.ode.sampling.NordsieckStepInterpolator

Get the state vector variation from current to interpolated state.

getInterpolatedTime() - Method in class org.apache.commons.math4.legacy.ode.ContinuousOutputModel

Get the time of the interpolated point.

getInterpolatedTime() - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Get the time of the interpolated point.

getInterpolatedTime() - Method in interface org.apache.commons.math4.legacy.ode.sampling.StepInterpolator

Get the time of the interpolated point.

getInterpolatingPoints() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunctionLagrangeForm

Returns a copy of the interpolating points array.

getInterpolatingValues() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunctionLagrangeForm

Returns a copy of the interpolating values array.

getInverse() - Method in interface org.apache.commons.math4.legacy.field.linalg.FieldDecompositionSolver

Computes the inverse of a decomposed (square) matrix.

getInverse() - Method in interface org.apache.commons.math4.legacy.linear.DecompositionSolver

Get the pseudo-inverse of the decomposed matrix.

getInverse() - Method in interface org.apache.commons.math4.legacy.linear.FieldDecompositionSolver

Get the inverse (or pseudo-inverse) of the decomposed matrix.

getInverseConditionNumber() - Method in class org.apache.commons.math4.legacy.linear.SingularValueDecomposition

Computes the inverse of the condition number.

getIterationCounter() - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresAdapter

Get a independent Incrementor that counts up to the maximum number of iterations and then throws an exception.

getIterationCounter() - Method in class org.apache.commons.math4.legacy.optim.AbstractOptimizationProblem

Get a independent Incrementor that counts up to the maximum number of iterations and then throws an exception.

getIterationCounter() - Method in interface org.apache.commons.math4.legacy.optim.OptimizationProblem

Get a independent Incrementor that counts up to the maximum number of iterations and then throws an exception.

getIterationManager() - Method in class org.apache.commons.math4.legacy.linear.IterativeLinearSolver

Returns the iteration manager attached to this solver.

getIterations() - Method in class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

Get the number of iterations of the last run of the integrator.

getIterations() - Method in interface org.apache.commons.math4.legacy.analysis.integration.UnivariateIntegrator

Get the number of iterations of the last run of the integrator.

getIterations() - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresOptimizer.Optimum

Get the number of times the algorithm iterated in order to produce this optimum.

getIterations() - Method in class org.apache.commons.math4.legacy.linear.IterationEvent

Returns the number of iterations performed at the time this event is created.

getIterations() - Method in class org.apache.commons.math4.legacy.linear.IterationManager

Returns the number of iterations of this solver, 0 if no iterations has been performed yet.

getIterations() - Method in class org.apache.commons.math4.legacy.optim.BaseOptimizer

Gets the number of iterations performed by the algorithm.

getJacobian() - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresProblem.Evaluation

Get the weighted Jacobian matrix.

getK() - Method in class org.apache.commons.math4.legacy.ml.clustering.FuzzyKMeansClusterer

Return the number of clusters this instance will use.

getKey() - Method in class org.apache.commons.math4.legacy.core.Pair

Get the key.

getKeys() - Method in class org.apache.commons.math4.legacy.exception.util.ExceptionContext

Gets all the keys stored in the exception.

getKnots() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialSplineFunction

Get an array copy of the knot points.

getKthSelector() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Get the kthSelector used for computation.

getKurtosis() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the Kurtosis of the available values.

getKurtosisImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the currently configured kurtosis implementation.

getL() - Method in class org.apache.commons.math4.legacy.field.linalg.FieldLUDecomposition

Builds the "L" matrix of the decomposition.

getL() - Method in class org.apache.commons.math4.legacy.linear.CholeskyDecomposition

Returns the matrix L of the decomposition.

getL() - Method in class org.apache.commons.math4.legacy.linear.FieldLUDecomposition

Returns the matrix L of the decomposition.

getL() - Method in class org.apache.commons.math4.legacy.linear.LUDecomposition

Returns the matrix L of the decomposition.

getL1Distance(OpenMapRealVector) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Distance between two vectors.

getL1Distance(RealVector) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Distance between two vectors.

getL1Distance(RealVector) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Distance between two vectors.

getL1Distance(RealVector) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Distance between two vectors.

getL1Norm() - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Returns the L₁ norm of the vector.

getL1Norm() - Method in class org.apache.commons.math4.legacy.linear.RealVector

Returns the L₁ norm of the vector.

getLength() - Method in class org.apache.commons.math4.legacy.genetics.AbstractListChromosome

Returns the length of the chromosome.

getLInfDistance(RealVector) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Distance between two vectors.

getLInfDistance(RealVector) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Distance between two vectors.

getLInfDistance(RealVector) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Distance between two vectors.

getLInfNorm() - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Returns the L_∞ norm of the vector.

getLInfNorm() - Method in class org.apache.commons.math4.legacy.linear.RealVector

Returns the L_∞ norm of the vector.

getLn10() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the constant ln(10).

getLn2() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the constant ln(2).

getLn2Split() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the constant ln(2) split in two pieces.

getLn5() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the constant ln(5).

getLn5Split() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the constant ln(5) split in two pieces.

getLo() - Method in exception org.apache.commons.math4.legacy.exception.NoBracketingException

Get the lower end of the interval.

getLo() - Method in exception org.apache.commons.math4.legacy.exception.OutOfRangeException

getLo() - Method in class org.apache.commons.math4.legacy.optim.univariate.BracketFinder

getLocalizedMessage() - Method in exception org.apache.commons.math4.legacy.exception.MathRuntimeException

getLocalizedMessage() - Method in exception org.apache.commons.math4.legacy.exception.NullArgumentException

getLocalizedMessage() - Method in class org.apache.commons.math4.legacy.exception.util.ExceptionContext

Gets the message in the default locale.

getLocalizedString(Locale) - Method in class org.apache.commons.math4.legacy.exception.util.DummyLocalizable

Gets the localized string.

getLocalizedString(Locale) - Method in interface org.apache.commons.math4.legacy.exception.util.Localizable

Gets the localized string.

getLocalizedString(Locale) - Method in enum org.apache.commons.math4.legacy.exception.util.LocalizedFormats

Gets the localized string.

getLocation(Neuron) - Method in class org.apache.commons.math4.neuralnet.twod.util.LocationFinder

Retrieves a neuron's grid coordinates.

getLogLikelihood() - Method in class org.apache.commons.math4.legacy.distribution.fitting.MultivariateNormalMixtureExpectationMaximization

Gets the log likelihood of the data under the fitted model.

getLower() - Method in class org.apache.commons.math4.legacy.optim.SimpleBounds

Gets the lower bounds.

getLowerBound() - Method in class org.apache.commons.math4.legacy.optim.BaseMultivariateOptimizer

getLowerBound() - Method in class org.apache.commons.math4.legacy.stat.interval.ConfidenceInterval

getLT() - Method in class org.apache.commons.math4.legacy.linear.CholeskyDecomposition

Returns the transpose of the matrix L of the decomposition.

getMapper() - Method in class org.apache.commons.math4.legacy.ode.FieldExpandableODE

Get the mapper for the set of equations.

getMax() - Method in class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

getMax() - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

getMax() - Method in exception org.apache.commons.math4.legacy.exception.MaxCountExceededException

getMax() - Method in exception org.apache.commons.math4.legacy.exception.NumberIsTooLargeException

getMax() - Method in class org.apache.commons.math4.legacy.optim.univariate.SearchInterval

Gets the upper bound.

getMax() - Method in class org.apache.commons.math4.legacy.optim.univariate.UnivariateOptimizer

getMax() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AggregateSummaryStatistics

Returns the maximum of the available values.

getMax() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the maximum of the available values.

getMax() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns an array whose i^th entry is the maximum of the.

getMax() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StatisticalMultivariateSummary

Returns an array whose i^th entry is the.

getMax() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StatisticalSummary

Returns the maximum of the available values.

getMax() - Method in class org.apache.commons.math4.legacy.stat.descriptive.StatisticalSummaryValues

getMax() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the maximum of the values that have been added.

getMax() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns an array whose i^th entry is the maximum of the.

getMax() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns the maximum of the values that have been added.

getMaxCheckInterval() - Method in class org.apache.commons.math4.legacy.ode.events.EventState

Get the maximal time interval between events handler checks.

getMaxCheckInterval() - Method in class org.apache.commons.math4.legacy.ode.events.FieldEventState

Get the maximal time interval between events handler checks.

getMaxEval() - Method in class org.apache.commons.math4.legacy.optim.MaxEval

Gets the maximum number of evaluations.

getMaxEvaluations() - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Get the maximum number of function evaluations.

getMaxEvaluations() - Method in interface org.apache.commons.math4.legacy.analysis.solvers.BaseUnivariateSolver

Get the maximum number of function evaluations.

getMaxEvaluations() - Method in interface org.apache.commons.math4.legacy.analysis.solvers.BracketedRealFieldUnivariateSolver

Get the maximum number of function evaluations.

getMaxEvaluations() - Method in class org.apache.commons.math4.legacy.analysis.solvers.FieldBracketingNthOrderBrentSolver

Get the maximal number of function evaluations.

getMaxEvaluations() - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Get the maximal number of functions evaluations.

getMaxEvaluations() - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Get the maximal number of functions evaluations.

getMaxEvaluations() - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderFieldIntegrator

Get the maximal number of functions evaluations.

getMaxEvaluations() - Method in interface org.apache.commons.math4.legacy.ode.ODEIntegrator

Get the maximal number of functions evaluations.

getMaxEvaluations() - Method in class org.apache.commons.math4.legacy.optim.BaseOptimizer

Gets the maximal number of function evaluations.

getMaxEvaluations() - Method in class org.apache.commons.math4.legacy.optim.univariate.BracketFinder

getMaxGrowth() - Method in class org.apache.commons.math4.legacy.ode.MultistepFieldIntegrator

Get the maximal growth factor for stepsize control.

getMaxGrowth() - Method in class org.apache.commons.math4.legacy.ode.MultistepIntegrator

Get the maximal growth factor for stepsize control.

getMaxGrowth() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator

Get the maximal growth factor for stepsize control.

getMaxGrowth() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Get the maximal growth factor for stepsize control.

getMaximalCount() - Method in class org.apache.commons.math4.legacy.core.IntegerSequence.Incrementor

Gets the upper limit of the counter.

getMaximalIterationCount() - Method in class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

Get the upper limit for the number of iterations.

getMaximalIterationCount() - Method in interface org.apache.commons.math4.legacy.analysis.integration.UnivariateIntegrator

Get the upper limit for the number of iterations.

getMaximalOrder() - Method in class org.apache.commons.math4.legacy.analysis.solvers.BracketingNthOrderBrentSolver

Get the maximal order.

getMaximalOrder() - Method in class org.apache.commons.math4.legacy.analysis.solvers.FieldBracketingNthOrderBrentSolver

Get the maximal order.

getMaxImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the currently configured maximum implementation.

getMaxImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns the currently configured maximum implementation.

getMaxImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the currently configured maximum implementation.

getMaxImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the currently configured maximum implementation.

getMaxImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns the currently configured maximum implementation.

getMaxIndex() - Method in class org.apache.commons.math4.legacy.linear.RealVector

Get the index of the maximum entry.

getMaxIter() - Method in class org.apache.commons.math4.legacy.optim.MaxIter

Gets the maximum number of evaluations.

getMaxIterationCount() - Method in class org.apache.commons.math4.legacy.ode.events.EventState

Get the upper limit in the iteration count for event localization.

getMaxIterationCount() - Method in class org.apache.commons.math4.legacy.ode.events.FieldEventState

Get the upper limit in the iteration count for event localization.

getMaxIterations() - Method in class org.apache.commons.math4.legacy.linear.IterationManager

Returns the maximum number of iterations.

getMaxIterations() - Method in class org.apache.commons.math4.legacy.ml.clustering.FuzzyKMeansClusterer

Returns the maximum number of iterations this instance will use.

getMaxIterations() - Method in class org.apache.commons.math4.legacy.ml.clustering.KMeansPlusPlusClusterer

Returns the maximum number of iterations this instance will use.

getMaxIterations() - Method in class org.apache.commons.math4.legacy.optim.BaseOptimizer

Gets the maximal number of iterations.

getMaxStep() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeFieldIntegrator

Get the maximal step.

getMaxStep() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeIntegrator

Get the maximal step.

getMaxValue() - Method in class org.apache.commons.math4.legacy.linear.RealVector

Get the value of the maximum entry.

getMean() - Method in class org.apache.commons.math4.legacy.distribution.EmpiricalDistribution

getMean() - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedIntegerDistribution

getMean() - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedRealDistribution

getMean() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AggregateSummaryStatistics

Returns the arithmetic mean of the available values.

getMean() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the arithmetic mean of the available values.

getMean() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns an array whose i^th entry is the mean of the.

getMean() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StatisticalMultivariateSummary

Returns an array whose i^th entry is the.

getMean() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StatisticalSummary

Returns the arithmetic mean of the available values.

getMean() - Method in class org.apache.commons.math4.legacy.stat.descriptive.StatisticalSummaryValues

getMean() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the mean of the values that have been added.

getMean() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns an array whose i^th entry is the mean of the.

getMean() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns the mean of the values that have been added.

getMeanImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the currently configured mean implementation.

getMeanImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns the currently configured mean implementation.

getMeanImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the currently configured mean implementation.

getMeanImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the currently configured mean implementation.

getMeanImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns the currently configured mean implementation.

getMeanQuantizationError() - Method in class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D.DataVisualization

getMeans() - Method in class org.apache.commons.math4.legacy.distribution.MultivariateNormalDistribution

Gets the mean vector.

getMeanSquareError() - Method in class org.apache.commons.math4.legacy.stat.regression.RegressionResults

Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE.

getMeanSquareError() - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE.

getMeanTopographicError() - Method in class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D.DataVisualization

getMeasurementDimension() - Method in class org.apache.commons.math4.legacy.filter.KalmanFilter

Returns the dimension of the measurement vector.

getMeasurementMatrix() - Method in class org.apache.commons.math4.legacy.filter.DefaultMeasurementModel

Returns the measurement matrix.

getMeasurementMatrix() - Method in interface org.apache.commons.math4.legacy.filter.MeasurementModel

Returns the measurement matrix.

getMeasurementNoise() - Method in class org.apache.commons.math4.legacy.filter.DefaultMeasurementModel

Returns the measurement noise matrix.

getMeasurementNoise() - Method in interface org.apache.commons.math4.legacy.filter.MeasurementModel

Returns the measurement noise matrix.

getMembershipMatrix() - Method in class org.apache.commons.math4.legacy.ml.clustering.FuzzyKMeansClusterer

Returns the nxk membership matrix, where n is the number of data points and k the number of clusters.

getMessage() - Method in exception org.apache.commons.math4.legacy.exception.MathRuntimeException

getMessage() - Method in exception org.apache.commons.math4.legacy.exception.NullArgumentException

getMessage() - Method in class org.apache.commons.math4.legacy.exception.util.ExceptionContext

Gets the default message.

getMessage(Locale) - Method in class org.apache.commons.math4.legacy.exception.util.ExceptionContext

Gets the message in a specified locale.

getMessage(Locale, String) - Method in class org.apache.commons.math4.legacy.exception.util.ExceptionContext

Gets the message in a specified locale.

getMid() - Method in class org.apache.commons.math4.legacy.optim.univariate.BracketFinder

getMin() - Method in class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

getMin() - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

getMin() - Method in exception org.apache.commons.math4.legacy.exception.NumberIsTooSmallException

getMin() - Method in class org.apache.commons.math4.legacy.optim.univariate.SearchInterval

Gets the lower bound.

getMin() - Method in class org.apache.commons.math4.legacy.optim.univariate.UnivariateOptimizer

getMin() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AggregateSummaryStatistics

Returns the minimum of the available values.

getMin() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the minimum of the available values.

getMin() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns an array whose i^th entry is the minimum of the.

getMin() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StatisticalMultivariateSummary

Returns an array whose i^th entry is the.

getMin() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StatisticalSummary

Returns the minimum of the available values.

getMin() - Method in class org.apache.commons.math4.legacy.stat.descriptive.StatisticalSummaryValues

getMin() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the minimum of the values that have been added.

getMin() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns an array whose i^th entry is the minimum of the.

getMin() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns the minimum of the values that have been added.

getMinimalIterationCount() - Method in class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

Get the min limit for the number of iterations.

getMinimalIterationCount() - Method in interface org.apache.commons.math4.legacy.analysis.integration.UnivariateIntegrator

Get the min limit for the number of iterations.

getMinImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the currently configured minimum implementation.

getMinImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns the currently configured minimum implementation.

getMinImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the currently configured minimum implementation.

getMinImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the currently configured minimum implementation.

getMinImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns the currently configured minimum implementation.

getMinIndex() - Method in class org.apache.commons.math4.legacy.linear.RealVector

Get the index of the minimum entry.

getMinPts() - Method in class org.apache.commons.math4.legacy.ml.clustering.DBSCANClusterer

Returns the minimum number of points needed for a cluster.

getMinReduction() - Method in class org.apache.commons.math4.legacy.ode.MultistepFieldIntegrator

Get the minimal reduction factor for stepsize control.

getMinReduction() - Method in class org.apache.commons.math4.legacy.ode.MultistepIntegrator

Get the minimal reduction factor for stepsize control.

getMinReduction() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator

Get the minimal reduction factor for stepsize control.

getMinReduction() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Get the minimal reduction factor for stepsize control.

getMinStep() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeFieldIntegrator

Get the minimal step.

getMinStep() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeIntegrator

Get the minimal step.

getMinValue() - Method in class org.apache.commons.math4.legacy.linear.RealVector

Get the value of the minimum entry.

getMode() - Method in class org.apache.commons.math4.legacy.stat.Frequency

Returns the mode value(s) in comparator order.

getModelFunction() - Method in class org.apache.commons.math4.legacy.fitting.AbstractCurveFitter.TheoreticalValuesFunction

getModelFunctionJacobian() - Method in class org.apache.commons.math4.legacy.fitting.AbstractCurveFitter.TheoreticalValuesFunction

getMutationPolicy() - Method in class org.apache.commons.math4.legacy.genetics.GeneticAlgorithm

Returns the mutation policy.

getMutationRate() - Method in class org.apache.commons.math4.legacy.genetics.GeneticAlgorithm

Returns the mutation rate.

getN() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialSplineFunction

Get the number of spline segments.

getN() - Method in class org.apache.commons.math4.legacy.stat.correlation.Covariance

Returns the number of observations (length of covariate vectors).

getN() - Method in class org.apache.commons.math4.legacy.stat.correlation.StorelessCovariance

This Covariance method is not supported by a StorelessCovariance, since the number of bivariate observations does not have to be the same for different pairs of covariates - i.e., N as defined in Covariance.getN() is undefined.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AggregateSummaryStatistics

Returns the number of available values.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the number of available values.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.GeometricMean

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Kurtosis

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Mean

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Skewness

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.StandardDeviation

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.VectorialCovariance

Get the number of vectors in the sample.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.VectorialMean

Get the number of vectors in the sample.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns the number of available values.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Max

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Min

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.PSquarePercentile

Returns the number of values that have been added.

getN() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StatisticalMultivariateSummary

Returns the number of available values.

getN() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StatisticalSummary

Returns the number of available values.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.StatisticalSummaryValues

getN() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StorelessUnivariateStatistic

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.Product

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.Sum

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.SumOfLogs

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.SumOfSquares

Returns the number of values that have been added.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the number of available values.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedDescriptiveStatistics

Returns the number of available values.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the number of available values.

getN() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns the number of available values.

getN() - Method in class org.apache.commons.math4.legacy.stat.regression.MillerUpdatingRegression

Gets the number of observations added to the regression model.

getN() - Method in class org.apache.commons.math4.legacy.stat.regression.RegressionResults

Returns the number of observations added to the regression model.

getN() - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Returns the number of observations that have been added to the model.

getN() - Method in interface org.apache.commons.math4.legacy.stat.regression.UpdatingMultipleLinearRegression

Returns the number of observations added to the regression model.

getName() - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Get the name of the method.

getName() - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Get the name of the method.

getName() - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderFieldIntegrator

Get the name of the method.

getName() - Method in interface org.apache.commons.math4.legacy.ode.ODEIntegrator

Get the name of the method.

getName() - Method in exception org.apache.commons.math4.legacy.ode.UnknownParameterException

getNanStrategy() - Method in class org.apache.commons.math4.legacy.stat.ranking.NaturalRanking

Return the NaNStrategy.

getNaNStrategy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Get the NaN Handling strategy used for computation.

getNbPoints() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.FiniteDifferencesDifferentiator

Get the number of points to use.

getNeighbours(Iterable<Neuron>) - Method in class org.apache.commons.math4.neuralnet.Network

Retrieves the neurons in the neighbourhood of any neuron in the neurons list.

getNeighbours(Iterable<Neuron>, Iterable<Neuron>) - Method in class org.apache.commons.math4.neuralnet.Network

Retrieves the neurons in the neighbourhood of any neuron in the neurons list.

getNeighbours(Neuron) - Method in class org.apache.commons.math4.neuralnet.Network

Retrieves the neighbours of the given neuron.

getNeighbours(Neuron, Iterable<Neuron>) - Method in class org.apache.commons.math4.neuralnet.Network

Retrieves the neighbours of the given neuron.

getNetwork() - Method in class org.apache.commons.math4.neuralnet.oned.NeuronString

Retrieves the underlying network.

getNetwork() - Method in class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D

Retrieves the underlying network.

getNeuron(int, int) - Method in class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D

Retrieves the neuron at location (i, j) in the map.

getNeuron(int, int, NeuronSquareMesh2D.HorizontalDirection, NeuronSquareMesh2D.VerticalDirection) - Method in class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D

Retrieves the requested neuron relative to the given (row, col) position.

getNeuron(long) - Method in class org.apache.commons.math4.neuralnet.Network

Retrieves the neuron with the given (unique) id.

getNeurons() - Method in class org.apache.commons.math4.neuralnet.Network

getNewtonCoefficients() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunctionNewtonForm

Returns a copy of coefficients in Newton form formula.

getNextIndex() - Method in class org.apache.commons.math4.legacy.random.HaltonSequenceGenerator

Returns the index i of the next point in the Halton sequence that will be returned by calling HaltonSequenceGenerator.get().

getNextIndex() - Method in class org.apache.commons.math4.legacy.random.SobolSequenceGenerator

Returns the index i of the next point in the Sobol sequence that will be returned by calling SobolSequenceGenerator.get().

getNorm() - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Returns the maximum absolute row sum norm of the matrix.

getNorm() - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Returns the L₂ norm of the vector.

getNorm() - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Returns the maximum absolute row sum norm of the matrix.

getNorm() - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Returns the maximum absolute row sum norm of the matrix.

getNorm() - Method in class org.apache.commons.math4.legacy.linear.RealVector

Returns the L₂ norm of the vector.

getNorm() - Method in class org.apache.commons.math4.legacy.linear.SingularValueDecomposition

Returns the L₂ norm of the matrix.

getNormalApproximationInterval(int, int, double) - Static method in class org.apache.commons.math4.legacy.stat.interval.IntervalUtils

Create a binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level using the Normal approximation to the binomial distribution.

getNormalizedHits() - Method in class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D.DataVisualization

getNormOfResidual() - Method in class org.apache.commons.math4.legacy.linear.DefaultIterativeLinearSolverEvent

Returns the norm of the residual.

getNormOfResidual() - Method in class org.apache.commons.math4.legacy.linear.IterativeLinearSolverEvent

Returns the norm of the residual.

getNSteps() - Method in class org.apache.commons.math4.legacy.ode.MultistepFieldIntegrator

Get the number of steps of the multistep method (excluding the one being computed).

getNSteps() - Method in class org.apache.commons.math4.legacy.ode.MultistepIntegrator

Get the number of steps of the multistep method (excluding the one being computed).

getNSteps() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsNordsieckTransformer

Deprecated.

as of 3.6, this method is not used anymore

getNumberOfAttemptedUpdates() - Method in class org.apache.commons.math4.neuralnet.Neuron

Retrieves the number of calls to the compareAndSetFeatures method.

getNumberOfCalls() - Method in class org.apache.commons.math4.neuralnet.sofm.KohonenUpdateAction

Retrieves the number of calls to the update method.

getNumberOfClusters() - Method in class org.apache.commons.math4.legacy.ml.clustering.KMeansPlusPlusClusterer

Return the number of clusters this instance will use.

getNumberOfColumns() - Method in class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D

Gets the number of neurons in each column of this map.

getNumberOfEquations() - Method in class org.apache.commons.math4.legacy.ode.FieldEquationsMapper

Get the number of equations mapped.

getNumberOfParameters() - Method in class org.apache.commons.math4.legacy.stat.regression.RegressionResults

Returns the number of parameters estimated in the model.

getNumberOfPoints() - Method in class org.apache.commons.math4.legacy.analysis.integration.gauss.GaussIntegrator

getNumberOfRows() - Method in class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D

Gets the number of neurons in each row of this map.

getNumberOfSamples() - Method in class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D.DataVisualization

getNumberOfSecondaryStates() - Method in class org.apache.commons.math4.legacy.ode.FieldODEState

Get the number of secondary states.

getNumberOfSuccessfulUpdates() - Method in class org.apache.commons.math4.neuralnet.Neuron

Retrieves the number of successful calls to the compareAndSetFeatures method.

getNumGenerations() - Method in class org.apache.commons.math4.legacy.genetics.FixedGenerationCount

Returns the number of generations that have already passed.

getnVals() - Method in class org.apache.commons.math4.legacy.special.BesselJ.BesselJResult

getObjectiveFunction() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.MultivariateOptimizer

getObjectiveFunction() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.ObjectiveFunction

Gets the function to be optimized.

getObjectiveFunction() - Method in class org.apache.commons.math4.legacy.optim.univariate.UnivariateObjectiveFunction

Gets the function to be optimized.

getObjectiveFunction() - Method in class org.apache.commons.math4.legacy.optim.univariate.UnivariateOptimizer

getObjectiveFunctionGradient() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.ObjectiveFunctionGradient

Gets the gradient of the function to be optimized.

getObjectiveFunctionValue() - Method in class org.apache.commons.math4.legacy.ml.clustering.FuzzyKMeansClusterer

Get the value of the objective function.

getObservationSize() - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresAdapter

Get the number of observations (rows in the Jacobian) in this problem.

getObservationSize() - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresProblem

Get the number of observations (rows in the Jacobian) in this problem.

getOmegaInverse() - Method in class org.apache.commons.math4.legacy.stat.regression.GLSMultipleLinearRegression

Get the inverse of the covariance.

getOne() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Get the constant 1.

getOne() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the constant 1.

getOne() - Method in interface org.apache.commons.math4.legacy.core.Field

Get the multiplicative identity of the field.

getOne() - Method in class org.apache.commons.math4.legacy.linear.BigRealField

Get the multiplicative identity of the field.

getOptima() - Method in class org.apache.commons.math4.legacy.optim.BaseMultiStartMultivariateOptimizer

Gets all the optima found during the last call to optimize.

getOptima() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.MultiStartMultivariateOptimizer

Gets all the optima found during the last call to optimize.

getOptima() - Method in class org.apache.commons.math4.legacy.optim.univariate.MultiStartUnivariateOptimizer

Gets all the optima found during the last call to optimize.

getOptimizer() - Method in class org.apache.commons.math4.legacy.fitting.AbstractCurveFitter

Creates an optimizer set up to fit the appropriate curve.

getOrder() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Get the derivation order.

getOrder() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Get the derivation order.

getOrder() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince54FieldIntegrator

Get the order of the method.

getOrder() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince54Integrator

Get the order of the method.

getOrder() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince853FieldIntegrator

Get the order of the method.

getOrder() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.DormandPrince853Integrator

Get the order of the method.

getOrder() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator

Get the order of the method.

getOrder() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Get the order of the method.

getOrder() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.HighamHall54FieldIntegrator

Get the order of the method.

getOrder() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.HighamHall54Integrator

Get the order of the method.

getOrderOfRegressors() - Method in class org.apache.commons.math4.legacy.stat.regression.MillerUpdatingRegression

Gets the order of the regressors, useful if some type of reordering has been called.

getOrthoTolerance() - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LevenbergMarquardtOptimizer

Gets the value of a tuning parameter.

getP() - Method in class org.apache.commons.math4.legacy.field.linalg.FieldLUDecomposition

Builds the "P" matrix.

getP() - Method in class org.apache.commons.math4.legacy.linear.FieldLUDecomposition

Returns the P rows permutation matrix.

getP() - Method in class org.apache.commons.math4.legacy.linear.LUDecomposition

Returns the P rows permutation matrix.

getP() - Method in class org.apache.commons.math4.legacy.linear.RRQRDecomposition

Returns the pivot matrix, P, used in the QR Decomposition of matrix A such that AP = QR.

getParameter(String) - Method in interface org.apache.commons.math4.legacy.ode.ParameterizedODE

Get parameter value from its name.

getParameterEstimate(int) - Method in class org.apache.commons.math4.legacy.stat.regression.RegressionResults

Returns the parameter estimate for the regressor at the given index.

getParameterEstimates() - Method in class org.apache.commons.math4.legacy.stat.regression.RegressionResults

Returns a copy of the regression parameters estimates.

getParameterRelativeTolerance() - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LevenbergMarquardtOptimizer

Gets the value of a tuning parameter.

getParameterSize() - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresAdapter

Get the number of parameters (columns in the Jacobian) in this problem.

getParameterSize() - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresProblem

Get the number of parameters (columns in the Jacobian) in this problem.

getParametersNames() - Method in class org.apache.commons.math4.legacy.ode.AbstractParameterizable

Get the names of the supported parameters.

getParametersNames() - Method in interface org.apache.commons.math4.legacy.ode.Parameterizable

Get the names of the supported parameters.

getPartialCorrelations(int) - Method in class org.apache.commons.math4.legacy.stat.regression.MillerUpdatingRegression

In the original algorithm only the partial correlations of the regressors is returned to the user.

getPartialDerivative(int...) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Get a partial derivative.

getPartialDerivativeIndex(int...) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Get the index of a partial derivative in the array.

getPartialDerivativeOrders(int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Get the derivation orders for a specific index in the array.

getPct(T) - Method in class org.apache.commons.math4.legacy.stat.Frequency

Returns the percentage of values that are equal to v (as a proportion between 0 and 1).

getPercentile(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns an estimate for the pth percentile of the stored values.

getPercentileImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the currently configured percentile implementation.

getPi() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the constant π.

getPiSplit() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the constant π split in two pieces.

getPivot() - Method in class org.apache.commons.math4.legacy.field.linalg.FieldLUDecomposition

Gets the pivot permutation vector.

getPivot() - Method in class org.apache.commons.math4.legacy.linear.FieldLUDecomposition

Returns the pivot permutation vector.

getPivot() - Method in class org.apache.commons.math4.legacy.linear.LUDecomposition

Returns the pivot permutation vector.

getPivotingStrategy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.KthSelector

Get the pivoting strategy.

getPivotingStrategy() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Get the PivotingStrategy used in KthSelector for computation.

getPmf() - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedDistribution

Return the probability mass function as a list of <value, probability> pairs.

getPoint() - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresProblem.Evaluation

Get the abscissa (independent variables) of this evaluation.

getPoint() - Method in interface org.apache.commons.math4.legacy.ml.clustering.Clusterable

Gets the n-dimensional point.

getPoint() - Method in class org.apache.commons.math4.legacy.ml.clustering.DoublePoint

Gets the n-dimensional point.

getPoint() - Method in class org.apache.commons.math4.legacy.optim.PointValuePair

Gets the point.

getPoint() - Method in class org.apache.commons.math4.legacy.optim.PointVectorValuePair

Gets the point.

getPoint() - Method in class org.apache.commons.math4.legacy.optim.univariate.UnivariatePointValuePair

Get the point.

getPoint(int) - Method in class org.apache.commons.math4.legacy.analysis.integration.gauss.GaussIntegrator

Gets the integration point at the given index.

getPointRef() - Method in class org.apache.commons.math4.legacy.optim.PointValuePair

Gets a reference to the point.

getPointRef() - Method in class org.apache.commons.math4.legacy.optim.PointVectorValuePair

Gets a reference to the point.

getPoints() - Method in class org.apache.commons.math4.legacy.ml.clustering.Cluster

Get the points contained in the cluster.

getPolynomials() - Method in class org.apache.commons.math4.legacy.analysis.interpolation.HermiteInterpolator

Compute the interpolation polynomials.

getPolynomials() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialSplineFunction

Get a copy of the interpolating polynomials array.

getPopulationLimit() - Method in class org.apache.commons.math4.legacy.genetics.ListPopulation

Access the maximum population size.

getPopulationLimit() - Method in interface org.apache.commons.math4.legacy.genetics.Population

Access the maximum population size.

getPopulationSize() - Method in class org.apache.commons.math4.legacy.genetics.ListPopulation

Access the current population size.

getPopulationSize() - Method in interface org.apache.commons.math4.legacy.genetics.Population

Access the current population size.

getPopulationSize() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.PopulationSize

getPopulationVariance() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the population variance of the available values.

getPopulationVariance() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the population variance of the values that have been added.

getPopulationVariance() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns the population variance of the values that have been added.

getPrefix() - Method in class org.apache.commons.math4.legacy.linear.RealMatrixFormat

Get the format prefix.

getPrefix() - Method in class org.apache.commons.math4.legacy.linear.RealVectorFormat

Get the format prefix.

getPrevious() - Method in exception org.apache.commons.math4.legacy.exception.NonMonotonicSequenceException

getPreviousState() - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractFieldStepInterpolator

Get the state at previous grid point time.

getPreviousState() - Method in interface org.apache.commons.math4.legacy.ode.sampling.FieldStepInterpolator

Get the state at previous grid point time.

getPreviousTime() - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Get the previous soft grid point time.

getPreviousTime() - Method in interface org.apache.commons.math4.legacy.ode.sampling.StepInterpolator

Get the previous grid point time.

getPrimary() - Method in class org.apache.commons.math4.legacy.ode.ExpandableStatefulODE

Get the primary set of differential equations.

getPrimaryMapper() - Method in class org.apache.commons.math4.legacy.ode.ExpandableStatefulODE

Get an equations mapper for the primary equations set.

getPrimaryState() - Method in class org.apache.commons.math4.legacy.ode.ExpandableStatefulODE

Get primary part of the current state.

getPrimaryStateDot() - Method in class org.apache.commons.math4.legacy.ode.ExpandableStatefulODE

Get primary part of the current state derivative.

getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math4.legacy.fitting.AbstractCurveFitter

Creates a least squares problem corresponding to the appropriate curve.

getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math4.legacy.fitting.SimpleCurveFitter

Creates a least squares problem corresponding to the appropriate curve.

getProcessNoise() - Method in class org.apache.commons.math4.legacy.filter.DefaultProcessModel

Returns the process noise matrix.

getProcessNoise() - Method in interface org.apache.commons.math4.legacy.filter.ProcessModel

Returns the process noise matrix.

getQ() - Method in class org.apache.commons.math4.legacy.linear.QRDecomposition

Returns the matrix Q of the decomposition.

getQT() - Method in class org.apache.commons.math4.legacy.linear.QRDecomposition

Returns the transpose of the matrix Q of the decomposition.

getQuadraticMean() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the quadratic mean, a.k.a.

getQuadraticMean() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the quadratic mean, a.k.a.

getQuadraticMean() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedDescriptiveStatistics

Returns the quadratic mean, a.k.a.

getQuadraticMean() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns the quadratic mean, a.k.a.

getQuantile() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Returns the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).

getQuantizationError() - Method in class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D.DataVisualization

getR() - Method in class org.apache.commons.math4.legacy.linear.QRDecomposition

Returns the matrix R of the decomposition.

getR() - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Returns Pearson's product moment correlation coefficient, usually denoted r.

getRadixDigits() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Get the number of radix digits of the instance.

getRadixDigits() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the number of radix digits of the Dfp instances built by this factory.

getRandomGenerator() - Static method in class org.apache.commons.math4.legacy.genetics.GeneticAlgorithm

Returns the (static) random generator.

getRandomGenerator() - Method in class org.apache.commons.math4.legacy.ml.clustering.FuzzyKMeansClusterer

Returns the random generator this instance will use.

getRank() - Method in class org.apache.commons.math4.legacy.linear.RectangularCholeskyDecomposition

Get the rank of the symmetric positive semidefinite matrix.

getRank() - Method in class org.apache.commons.math4.legacy.linear.SingularValueDecomposition

Return the effective numerical matrix rank.

getRank(double) - Method in class org.apache.commons.math4.legacy.linear.RRQRDecomposition

Return the effective numerical matrix rank.

getRankCorrelation() - Method in class org.apache.commons.math4.legacy.stat.correlation.SpearmansCorrelation

Returns a PearsonsCorrelation instance constructed from the ranked input data.

getRankingThreshold() - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LevenbergMarquardtOptimizer

Gets the value of a tuning parameter.

getRatio() - Method in class org.apache.commons.math4.legacy.genetics.UniformCrossover

Returns the mixing ratio used by this CrossoverPolicy.

getReal() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Get the real value of the number.

getReal() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Get the real value of the number.

getReal() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Get the real value of the number.

getReal() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Get the real value of the number.

getRealEigenvalue(int) - Method in class org.apache.commons.math4.legacy.linear.EigenDecomposition

Returns the real part of the i^th eigenvalue of the original matrix.

getRealEigenvalues() - Method in class org.apache.commons.math4.legacy.linear.EigenDecomposition

Gets a copy of the real parts of the eigenvalues of the original matrix.

getRealFormat() - Method in class org.apache.commons.math4.legacy.util.ComplexFormat

Access the realFormat.

getReducedChiSquare(int) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.AbstractEvaluation

Get the reduced chi-square.

getReducedChiSquare(int) - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresProblem.Evaluation

Get the reduced chi-square.

getRegressionSumSquares() - Method in class org.apache.commons.math4.legacy.stat.regression.RegressionResults

Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y).

getRegressionSumSquares() - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y).

getRelationship() - Method in class org.apache.commons.math4.legacy.optim.linear.LinearConstraint

Gets the relationship between left and right hand sides.

getRelativeAccuracy() - Method in class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

Get the relative accuracy.

getRelativeAccuracy() - Method in interface org.apache.commons.math4.legacy.analysis.integration.UnivariateIntegrator

Get the relative accuracy.

getRelativeAccuracy() - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Get the relative accuracy of the solver.

getRelativeAccuracy() - Method in interface org.apache.commons.math4.legacy.analysis.solvers.BaseUnivariateSolver

Get the relative accuracy of the solver.

getRelativeAccuracy() - Method in interface org.apache.commons.math4.legacy.analysis.solvers.BracketedRealFieldUnivariateSolver

Get the relative accuracy of the solver.

getRelativeAccuracy() - Method in class org.apache.commons.math4.legacy.analysis.solvers.FieldBracketingNthOrderBrentSolver

Get the relative accuracy.

getRelativeThreshold() - Method in class org.apache.commons.math4.legacy.optim.AbstractConvergenceChecker

getRelativeTolerance() - Method in class org.apache.commons.math4.legacy.optim.BaseOptimizer

getRelativeTolerance() - Method in class org.apache.commons.math4.legacy.optim.Tolerance

getRepresentation() - Method in class org.apache.commons.math4.legacy.genetics.AbstractListChromosome

Returns the (immutable) inner representation of the chromosome.

getResidual() - Method in class org.apache.commons.math4.legacy.linear.DefaultIterativeLinearSolverEvent

Returns the residual.

getResidual() - Method in class org.apache.commons.math4.legacy.linear.IterativeLinearSolverEvent

Returns the residual.

getResiduals() - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresProblem.Evaluation

Get the weighted residuals.

getResult() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AbstractStorelessUnivariateStatistic

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.GeometricMean

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Kurtosis

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Mean

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.SecondMoment

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Skewness

Returns the value of the statistic based on the values that have been added.

getResult() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.StandardDeviation

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.VectorialCovariance

Get the covariance matrix.

getResult() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.VectorialMean

Get the mean vector.

getResult() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Max

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Min

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.PSquarePercentile

Returns the current value of the Statistic.

getResult() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StorelessUnivariateStatistic

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.Product

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.Sum

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.SumOfLogs

Returns the current value of the Statistic.

getResult() - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.SumOfSquares

Returns the current value of the Statistic.

getRightHandSideVector() - Method in class org.apache.commons.math4.legacy.linear.DefaultIterativeLinearSolverEvent

Returns the current right-hand side of the linear system to be solved.

getRightHandSideVector() - Method in class org.apache.commons.math4.legacy.linear.IterativeLinearSolverEvent

Returns the current right-hand side of the linear system to be solved.

getRMS() - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.AbstractEvaluation

Get the normalized cost.

getRMS() - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresProblem.Evaluation

Get the normalized cost.

getRootMatrix() - Method in class org.apache.commons.math4.legacy.linear.RectangularCholeskyDecomposition

Get the root of the covariance matrix.

getRoundingMode() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the current rounding mode.

getRoundingMode() - Method in class org.apache.commons.math4.legacy.linear.BigReal

Gets the rounding mode for division operations.

getRow() - Method in exception org.apache.commons.math4.legacy.linear.NonPositiveDefiniteMatrixException

getRow() - Method in exception org.apache.commons.math4.legacy.linear.NonSymmetricMatrixException

getRow() - Method in class org.apache.commons.math4.neuralnet.twod.util.LocationFinder.Location

getRow(int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Get the entries in row number row as an array.

getRow(int) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Get the entries at the given row index.

getRow(int) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Get the entries at the given row index.

getRow(int) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Get the entries in row number row as an array.

getRow(int) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Get the entries at the given row index.

getRow(int) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Get the entries in row number row as an array.

getRow(int) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Get the entries at the given row index.

getRowDimension() - Method in class org.apache.commons.math4.legacy.field.linalg.FieldDenseMatrix

Gets the number of rows.

getRowDimension() - Method in interface org.apache.commons.math4.legacy.linear.AnyMatrix

Gets the number of rows.

getRowDimension() - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Gets the number of rows.

getRowDimension() - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Returns the dimension of the codomain of this operator.

getRowDimension() - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Gets the number of rows.

getRowDimension() - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Returns the dimension of the codomain of this operator.

getRowDimension() - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Returns the dimension of the codomain of this operator.

getRowDimension() - Method in class org.apache.commons.math4.legacy.linear.JacobiPreconditioner

Returns the dimension of the codomain of this operator.

getRowDimension() - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealMatrix

Returns the dimension of the codomain of this operator.

getRowDimension() - Method in class org.apache.commons.math4.legacy.linear.RealLinearOperator

Returns the dimension of the codomain of this operator.

getRowDimension() - Method in class org.apache.commons.math4.legacy.linear.SparseFieldMatrix

Gets the number of rows.

getRowMatrix(int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Get the entries in row number row as a row matrix.

getRowMatrix(int) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Get the entries at the given row index as a row matrix.

getRowMatrix(int) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Get the entries in row number row as a row matrix.

getRowMatrix(int) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Get the entries at the given row index as a row matrix.

getRowMatrix(int) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Get the entries in row number row as a row matrix.

getRowMatrix(int) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Get the entries at the given row index as a row matrix.

getRowPrefix() - Method in class org.apache.commons.math4.legacy.linear.RealMatrixFormat

Get the format prefix.

getRowSeparator() - Method in class org.apache.commons.math4.legacy.linear.RealMatrixFormat

Get the format separator between rows of the matrix.

getRowSuffix() - Method in class org.apache.commons.math4.legacy.linear.RealMatrixFormat

Get the format suffix.

getRowVector(int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Get the entries in row number row as a vector.

getRowVector(int) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Returns the entries in row number row as a vector.

getRowVector(int) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Get the entries in row number row as a vector.

getRowVector(int) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Returns the entries in row number row as a vector.

getRowVector(int) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Get the entries in row number row as a vector.

getRowVector(int) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Returns the entries in row number row as a vector.

getRSquare() - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Returns the coefficient of determination, usually denoted r-square.

getRSquared() - Method in class org.apache.commons.math4.legacy.stat.regression.RegressionResults

Returns the coefficient of multiple determination, usually denoted r-square.

getRule(int) - Method in class org.apache.commons.math4.legacy.analysis.integration.gauss.BaseRuleFactory

Gets a copy of the quadrature rule with the given number of integration points.

getRuleInternal(int) - Method in class org.apache.commons.math4.legacy.analysis.integration.gauss.BaseRuleFactory

Gets a rule.

getRuntimeClass() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Returns the runtime class of the FieldElement.

getRuntimeClass() - Method in interface org.apache.commons.math4.legacy.core.Field

Returns the runtime class of the FieldElement.

getRuntimeClass() - Method in class org.apache.commons.math4.legacy.linear.BigRealField

Returns the runtime class of the FieldElement.

getS() - Method in class org.apache.commons.math4.legacy.linear.SingularValueDecomposition

Returns the diagonal matrix Σ of the decomposition.

getSafety() - Method in class org.apache.commons.math4.legacy.ode.MultistepFieldIntegrator

Get the safety factor for stepsize control.

getSafety() - Method in class org.apache.commons.math4.legacy.ode.MultistepIntegrator

Get the safety factor for stepsize control.

getSafety() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator

Get the safety factor for stepsize control.

getSafety() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Get the safety factor for stepsize control.

getSampleStats() - Method in class org.apache.commons.math4.legacy.distribution.EmpiricalDistribution

Returns a StatisticalSummary describing this distribution.

getScale() - Method in class org.apache.commons.math4.legacy.linear.BigReal

Sets the scale for division operations.

getSecond() - Method in class org.apache.commons.math4.legacy.core.Pair

Get the second element of the pair.

getSecond() - Method in class org.apache.commons.math4.legacy.genetics.ChromosomePair

Access the second chromosome.

getSecondaryDerivative(int) - Method in class org.apache.commons.math4.legacy.ode.FieldODEStateAndDerivative

Get derivative of the secondary state at time.

getSecondaryMappers() - Method in class org.apache.commons.math4.legacy.ode.ExpandableStatefulODE

Get the equations mappers for the secondary equations sets.

getSecondaryState(int) - Method in class org.apache.commons.math4.legacy.ode.ExpandableStatefulODE

Get secondary part of the current state.

getSecondaryState(int) - Method in class org.apache.commons.math4.legacy.ode.FieldODEState

Get secondary state at time.

getSecondaryStateDimension(int) - Method in class org.apache.commons.math4.legacy.ode.FieldODEState

Get secondary state dimension.

getSecondaryStateDot(int) - Method in class org.apache.commons.math4.legacy.ode.ExpandableStatefulODE

Get secondary part of the current state derivative.

getSecondMoment() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AggregateSummaryStatistics

Returns a statistic related to the Second Central Moment.

getSecondMoment() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns a statistic related to the Second Central Moment.

getSelectionPolicy() - Method in class org.apache.commons.math4.legacy.genetics.GeneticAlgorithm

Returns the selection policy.

getSeparator() - Method in class org.apache.commons.math4.legacy.linear.RealVectorFormat

Get the format separator between components.

getSigma() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.Sigma

getSigma(double) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.AbstractEvaluation

Get an estimate of the standard deviation of the parameters.

getSigma(double) - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresProblem.Evaluation

Get an estimate of the standard deviation of the parameters.

getSignificance() - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Returns the significance level of the slope (equiv) correlation.

getSingularValues() - Method in class org.apache.commons.math4.legacy.linear.SingularValueDecomposition

Returns the diagonal elements of the matrix Σ of the decomposition.

getSize() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Get the array size required for holding partial derivatives data.

getSize() - Method in class org.apache.commons.math4.legacy.analysis.interpolation.InterpolatingMicrosphere

Get the size of the sphere.

getSize() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.Simplex

Returns the number of vertices.

getSize() - Method in class org.apache.commons.math4.neuralnet.Neuron

Gets the length of the feature set.

getSize() - Method in class org.apache.commons.math4.neuralnet.oned.NeuronString

Gets the number of neurons.

getSkewness() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the skewness of the available values.

getSkewnessImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the currently configured skewness implementation.

getSlope() - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Returns the slope of the estimated regression line.

getSlopeConfidenceInterval() - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Returns the half-width of a 95% confidence interval for the slope estimate.

getSlopeConfidenceInterval(double) - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Returns the half-width of a (100-100*alpha)% confidence interval for the slope estimate.

getSlopeStdErr() - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Returns the standard error of the slope estimate, usually denoted s(b1).

getSolution() - Method in class org.apache.commons.math4.legacy.linear.DefaultIterativeLinearSolverEvent

Returns the current estimate of the solution to the linear system to be solved.

getSolution() - Method in class org.apache.commons.math4.legacy.linear.IterativeLinearSolverEvent

Returns the current estimate of the solution to the linear system to be solved.

getSolution() - Method in class org.apache.commons.math4.legacy.optim.linear.SolutionCallback

Retrieve the best solution found so far.

getSolver() - Method in class org.apache.commons.math4.legacy.field.linalg.FieldLUDecomposition

Creates a solver for finding the solution X of the linear system of equations A X = B.

getSolver() - Method in class org.apache.commons.math4.legacy.linear.CholeskyDecomposition

Get a solver for finding the A × X = B solution in least square sense.

getSolver() - Method in class org.apache.commons.math4.legacy.linear.EigenDecomposition

Gets a solver for finding the A × X = B solution in exact linear sense.

getSolver() - Method in class org.apache.commons.math4.legacy.linear.FieldLUDecomposition

Get a solver for finding the A × X = B solution in exact linear sense.

getSolver() - Method in class org.apache.commons.math4.legacy.linear.LUDecomposition

Get a solver for finding the A × X = B solution in exact linear sense.

getSolver() - Method in class org.apache.commons.math4.legacy.linear.QRDecomposition

Get a solver for finding the A × X = B solution in least square sense.

getSolver() - Method in class org.apache.commons.math4.legacy.linear.RRQRDecomposition

Get a solver for finding the A × X = B solution in least square sense.

getSolver() - Method in class org.apache.commons.math4.legacy.linear.SingularValueDecomposition

Get a solver for finding the A × X = B solution in least square sense.

getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math4.legacy.distribution.AbstractRealDistribution

Returns the solver absolute accuracy for inverse cumulative computation.

getSortedValues() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the current set of values in an array of double primitives, sorted in ascending order.

getSourceString() - Method in class org.apache.commons.math4.legacy.exception.util.DummyLocalizable

Gets the source (non-localized) string.

getSourceString() - Method in interface org.apache.commons.math4.legacy.exception.util.Localizable

Gets the source (non-localized) string.

getSourceString() - Method in enum org.apache.commons.math4.legacy.exception.util.LocalizedFormats

Gets the source (non-localized) string.

getSparsity() - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

getSqr2() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the constant √2.

getSqr2Reciprocal() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the constant √2 / 2.

getSqr2Split() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the constant √2 split in two pieces.

getSqr3() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the constant √3.

getSqr3Reciprocal() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the constant √3 / 3.

getSquareNeighbourhood() - Method in class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D

Indicates the type of connectivity between neurons.

getSquareRoot() - Method in class org.apache.commons.math4.legacy.linear.EigenDecomposition

Computes the square-root of the matrix.

getStandardDeviation() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AggregateSummaryStatistics

Returns the standard deviation of the available values.

getStandardDeviation() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the standard deviation of the available values.

getStandardDeviation() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns an array whose i^th entry is the standard deviation of the.

getStandardDeviation() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StatisticalMultivariateSummary

Returns an array whose i^th entry is the.

getStandardDeviation() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StatisticalSummary

Returns the standard deviation of the available values.

getStandardDeviation() - Method in class org.apache.commons.math4.legacy.stat.descriptive.StatisticalSummaryValues

getStandardDeviation() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the standard deviation of the values that have been added.

getStandardDeviation() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedDescriptiveStatistics

Returns the standard deviation of the available values.

getStandardDeviation() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns an array whose i^th entry is the standard deviation of the.

getStandardDeviation() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns the standard deviation of the values that have been added.

getStandardDeviations() - Method in class org.apache.commons.math4.legacy.distribution.MultivariateNormalDistribution

Gets the square root of each element on the diagonal of the covariance matrix.

getStart() - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresAdapter

Gets the initial guess.

getStart() - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresProblem

Gets the initial guess.

getStarterIntegrator() - Method in class org.apache.commons.math4.legacy.ode.MultistepFieldIntegrator

Get the starter integrator.

getStarterIntegrator() - Method in class org.apache.commons.math4.legacy.ode.MultistepIntegrator

Get the starter integrator.

getStartPoint() - Method in class org.apache.commons.math4.legacy.optim.BaseMultivariateOptimizer

Gets the initial guess.

getStartProbability() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.SimulatedAnnealing

getStartValue() - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

getStartValue() - Method in class org.apache.commons.math4.legacy.optim.univariate.SearchInterval

Gets the start value.

getStartValue() - Method in class org.apache.commons.math4.legacy.optim.univariate.UnivariateOptimizer

getState() - Method in class org.apache.commons.math4.legacy.ode.FieldODEState

Get main state at time.

getStateDimension() - Method in class org.apache.commons.math4.legacy.filter.KalmanFilter

Returns the dimension of the state estimation vector.

getStateDimension() - Method in class org.apache.commons.math4.legacy.ode.FieldODEState

Get main state dimension.

getStateEstimation() - Method in class org.apache.commons.math4.legacy.filter.KalmanFilter

Returns the current state estimation vector.

getStateEstimationVector() - Method in class org.apache.commons.math4.legacy.filter.KalmanFilter

Returns a copy of the current state estimation vector.

getStateTransitionMatrix() - Method in class org.apache.commons.math4.legacy.filter.DefaultProcessModel

Returns the state transition matrix.

getStateTransitionMatrix() - Method in interface org.apache.commons.math4.legacy.filter.ProcessModel

Returns the state transition matrix.

getStatisticsDHistory() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.CMAESOptimizer

getStatisticsFitnessHistory() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.CMAESOptimizer

getStatisticsMeanHistory() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.CMAESOptimizer

getStatisticsSigmaHistory() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.CMAESOptimizer

getStdErrorOfEstimate(int) - Method in class org.apache.commons.math4.legacy.stat.regression.RegressionResults

Returns the standard error of the parameter estimate at index, usually denoted s(b_index).

getStdErrorOfEstimates() - Method in class org.apache.commons.math4.legacy.stat.regression.RegressionResults

Returns the standard error of the parameter estimates, usually denoted s(b_i).

getStepHandlers() - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Get all the step handlers that have been added to the integrator.

getStepHandlers() - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Get all the step handlers that have been added to the integrator.

getStepHandlers() - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderFieldIntegrator

Get all the step handlers that have been added to the integrator.

getStepHandlers() - Method in interface org.apache.commons.math4.legacy.ode.ODEIntegrator

Get all the step handlers that have been added to the integrator.

getStepSize() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.FiniteDifferencesDifferentiator

Get the step size.

getStepSize() - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Get the current step size.

getStepStart() - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Getcurrent step start.

getStrict() - Method in exception org.apache.commons.math4.legacy.exception.NonMonotonicSequenceException

getSubMatrix(int[], int[]) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Get a submatrix.

getSubMatrix(int[], int[]) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Gets a submatrix.

getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Get a submatrix.

getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Gets a submatrix.

getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Get a submatrix.

getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Gets a submatrix.

getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Gets a submatrix.

getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Get a submatrix.

getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Gets a submatrix.

getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Get a submatrix.

getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Gets a submatrix.

getSubVector(int, int) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Get a subvector from consecutive elements.

getSubVector(int, int) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Get a subvector from consecutive elements.

getSubVector(int, int) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Get a subvector from consecutive elements.

getSubVector(int, int) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Get a subvector from consecutive elements.

getSubVector(int, int) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Get a subvector from consecutive elements.

getSubVector(int, int) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Get a subvector from consecutive elements.

getSuffix() - Method in class org.apache.commons.math4.legacy.linear.RealMatrixFormat

Get the format suffix.

getSuffix() - Method in class org.apache.commons.math4.legacy.linear.RealVectorFormat

Get the format suffix.

getSum() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AggregateSummaryStatistics

Returns the sum of the values that have been added to Univariate.

getSum() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the sum of the values that have been added to Univariate.

getSum() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns an array whose i^th entry is the sum of the.

getSum() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StatisticalMultivariateSummary

Returns an array whose i^th entry is the.

getSum() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StatisticalSummary

Returns the sum of the values that have been added to Univariate.

getSum() - Method in class org.apache.commons.math4.legacy.stat.descriptive.StatisticalSummaryValues

getSum() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the sum of the values that have been added.

getSum() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns an array whose i^th entry is the sum of the.

getSum() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns the sum of the values that have been added.

getSumFreq() - Method in class org.apache.commons.math4.legacy.stat.Frequency

Returns the sum of all frequencies.

getSumImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the currently configured sum implementation.

getSumImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns the currently configured Sum implementation.

getSumImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the currently configured Sum implementation.

getSumImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the currently configured Sum implementation.

getSumImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns the currently configured Sum implementation.

getSumLog() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns an array whose i^th entry is the sum of logs of the.

getSumLog() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StatisticalMultivariateSummary

Returns an array whose i^th entry is the.

getSumLog() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns an array whose i^th entry is the sum of logs of the.

getSumLogImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.GeometricMean

Returns the currently configured sum of logs implementation.

getSumLogImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns the currently configured sum of logs implementation.

getSumLogImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the currently configured sum of logs implementation.

getSumLogImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the currently configured sum of logs implementation.

getSumLogImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns the currently configured sum of logs implementation.

getSummary() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AggregateSummaryStatistics

Return a StatisticalSummaryValues instance reporting current aggregate statistics.

getSummary() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Return a StatisticalSummaryValues instance reporting current statistics.

getSummary() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Return a StatisticalSummaryValues instance reporting current statistics.

getSumOfCrossProducts() - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Returns the sum of crossproducts, x_i*y_i.

getSumOfLogs() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AggregateSummaryStatistics

Returns the sum of the logs of all the aggregated data.

getSumOfLogs() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the sum of the logs of the values that have been added.

getSumsq() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AggregateSummaryStatistics

Returns the sum of the squares of all the aggregated data.

getSumsq() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the sum of the squares of the available values.

getSumsq() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the sum of the squares of the values that have been added.

getSumsq() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns the sum of the squares of the values that have been added.

getSumSq() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns an array whose i^th entry is the sum of squares of the.

getSumSq() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StatisticalMultivariateSummary

Returns an array whose i^th entry is the.

getSumSq() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns an array whose i^th entry is the sum of squares of the.

getSumsqImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the currently configured sum of squares implementation.

getSumsqImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns the currently configured sum of squares implementation.

getSumsqImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the currently configured sum of squares implementation.

getSumsqImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns the currently configured sum of squares implementation.

getSumsqImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns the currently configured sum of squares implementation.

getSumSquaredErrors() - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Returns the sum of squared errors (SSE) associated with the regression model.

getSupportLowerBound() - Method in class org.apache.commons.math4.legacy.distribution.EmpiricalDistribution

getSupportLowerBound() - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedIntegerDistribution

Returns the lowest value with non-zero probability.

getSupportLowerBound() - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedRealDistribution

Returns the lowest value with non-zero probability.

getSupportUpperBound() - Method in class org.apache.commons.math4.legacy.distribution.EmpiricalDistribution

getSupportUpperBound() - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedIntegerDistribution

Returns the highest value with non-zero probability.

getSupportUpperBound() - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedRealDistribution

Returns the highest value with non-zero probability.

getThreshold() - Method in exception org.apache.commons.math4.legacy.linear.NonPositiveDefiniteMatrixException

getThreshold() - Method in exception org.apache.commons.math4.legacy.linear.NonSymmetricMatrixException

getThrowable() - Method in class org.apache.commons.math4.legacy.exception.util.ExceptionContext

Get a reference to the exception to which the context relates.

getTiesStrategy() - Method in class org.apache.commons.math4.legacy.stat.ranking.NaturalRanking

Return the TiesStrategy.

getTime() - Method in class org.apache.commons.math4.legacy.ode.ExpandableStatefulODE

Get current time.

getTime() - Method in class org.apache.commons.math4.legacy.ode.FieldODEState

Get time.

getTopographicError() - Method in class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D.DataVisualization

getTotalDimension() - Method in class org.apache.commons.math4.legacy.ode.ExpandableStatefulODE

Return the dimension of the complete set of equations.

getTotalDimension() - Method in class org.apache.commons.math4.legacy.ode.FieldEquationsMapper

Return the dimension of the complete set of equations.

getTotalSumSquares() - Method in class org.apache.commons.math4.legacy.stat.regression.RegressionResults

Returns the sum of squared deviations of the y values about their mean.

getTotalSumSquares() - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Returns the sum of squared deviations of the y values about their mean.

getTrace() - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Returns the trace of the matrix (the sum of the elements on the main diagonal).

getTrace() - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Returns the trace of the matrix (the sum of the elements on the main diagonal).

getTrace() - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Returns the trace of the matrix (the sum of the elements on the main diagonal).

getTrace() - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Returns the trace of the matrix (the sum of the elements on the main diagonal).

getTriggeredIncreasing() - Method in enum org.apache.commons.math4.legacy.ode.events.FilterType

Get the increasing status of triggered events.

getTwo() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Get the constant 2.

getTwo() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the constant 2.

getU() - Method in class org.apache.commons.math4.legacy.field.linalg.FieldLUDecomposition

Builds the "U" matrix of the decomposition.

getU() - Method in class org.apache.commons.math4.legacy.linear.FieldLUDecomposition

Returns the matrix U of the decomposition.

getU() - Method in class org.apache.commons.math4.legacy.linear.LUDecomposition

Returns the matrix U of the decomposition.

getU() - Method in class org.apache.commons.math4.legacy.linear.SingularValueDecomposition

Returns the matrix U of the decomposition.

getUMatrix() - Method in class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D.DataVisualization

getUniqueCount() - Method in class org.apache.commons.math4.legacy.stat.Frequency

Returns the number of values in the frequency table.

getUpper() - Method in class org.apache.commons.math4.legacy.optim.SimpleBounds

Gets the upper bounds.

getUpperBound() - Method in class org.apache.commons.math4.legacy.optim.BaseMultivariateOptimizer

getUpperBound() - Method in class org.apache.commons.math4.legacy.stat.interval.ConfidenceInterval

getUpperBounds() - Method in class org.apache.commons.math4.legacy.distribution.EmpiricalDistribution

Returns the upper bounds of the bins.

getUT() - Method in class org.apache.commons.math4.legacy.linear.SingularValueDecomposition

Returns the transpose of the matrix U of the decomposition.

getV() - Method in class org.apache.commons.math4.legacy.linear.EigenDecomposition

Gets the matrix V of the decomposition.

getV() - Method in class org.apache.commons.math4.legacy.linear.SingularValueDecomposition

Returns the matrix V of the decomposition.

getVals() - Method in class org.apache.commons.math4.legacy.special.BesselJ.BesselJResult

getValue() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Get the value part of the derivative structure.

getValue() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Get the value of the function.

getValue() - Method in class org.apache.commons.math4.legacy.core.Pair

Get the value.

getValue() - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector.OpenMapEntry

Get the value of the entry.

getValue() - Method in class org.apache.commons.math4.legacy.linear.RealVector.Entry

Get the value of the entry.

getValue() - Method in class org.apache.commons.math4.legacy.optim.linear.LinearConstraint

Gets the value of the constraint (right hand side).

getValue() - Method in class org.apache.commons.math4.legacy.optim.PointVectorValuePair

Gets the value of the objective function.

getValue() - Method in class org.apache.commons.math4.legacy.optim.univariate.UnivariatePointValuePair

Get the value of the objective function.

getValue(String) - Method in class org.apache.commons.math4.legacy.exception.util.ExceptionContext

Gets the value associated to the given context key.

getValueRef() - Method in class org.apache.commons.math4.legacy.optim.PointVectorValuePair

Gets a reference to the value of the objective function.

getValues() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the current set of values in an array of double primitives.

getValues() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedDescriptiveStatistics

Returns the current set of values in an array of double primitives.

getVariance() - Method in class org.apache.commons.math4.legacy.distribution.EmpiricalDistribution

getVariance() - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedIntegerDistribution

getVariance() - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedRealDistribution

getVariance() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AggregateSummaryStatistics

Returns the variance of the available values.

getVariance() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the (sample) variance of the available values.

getVariance() - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StatisticalSummary

Returns the variance of the available values.

getVariance() - Method in class org.apache.commons.math4.legacy.stat.descriptive.StatisticalSummaryValues

getVariance() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the (sample) variance of the available values.

getVariance() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns the (sample) variance of the available values.

getVarianceDirection() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance

Returns the varianceDirection property.

getVarianceImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the currently configured variance implementation.

getVarianceImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns the currently configured variance implementation.

getVarianceImpl() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns the currently configured variance implementation.

getVT() - Method in class org.apache.commons.math4.legacy.linear.EigenDecomposition

Gets the transpose of the matrix V of the decomposition.

getVT() - Method in class org.apache.commons.math4.legacy.linear.SingularValueDecomposition

Returns the transpose of the matrix V of the decomposition.

getWeight() - Method in class org.apache.commons.math4.legacy.fitting.WeightedObservedPoint

Gets the weight of the measurement in the fitting process.

getWeight(int) - Method in class org.apache.commons.math4.legacy.analysis.integration.gauss.GaussIntegrator

Gets the weight of the integration point at the given index.

getWilsonScoreInterval(int, int, double) - Static method in class org.apache.commons.math4.legacy.stat.interval.IntervalUtils

Create a Wilson score binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.

getWindowSize() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.

getWindowSize() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedDescriptiveStatistics

Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.

getWorkArray(double[], double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Get the work arrays of weights to operate.

getWrongColumnDimension() - Method in exception org.apache.commons.math4.legacy.linear.MatrixDimensionMismatchException

getWrongDimension(int) - Method in exception org.apache.commons.math4.legacy.exception.MultiDimensionMismatchException

getWrongDimensions() - Method in exception org.apache.commons.math4.legacy.exception.MultiDimensionMismatchException

getWrongRowDimension() - Method in exception org.apache.commons.math4.legacy.linear.MatrixDimensionMismatchException

getX() - Method in class org.apache.commons.math4.legacy.fitting.WeightedObservedPoint

Gets the abscissa of the point.

getX() - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

getXSumSquares() - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Returns the sum of squared deviations of the x values about their mean.

getY() - Method in class org.apache.commons.math4.legacy.fitting.WeightedObservedPoint

Gets the observed value of the function at x.

getY() - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

getZero() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Get the constant 0.

getZero() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Get the constant 0.

getZero() - Method in interface org.apache.commons.math4.legacy.core.Field

Get the additive identity of the field.

getZero() - Method in class org.apache.commons.math4.legacy.linear.BigRealField

Get the additive identity of the field.

GillFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements the Gill fourth order Runge-Kutta integrator for Ordinary Differential Equations .

GillFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.GillFieldIntegrator

Simple constructor.

GillIntegrator - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements the Gill fourth order Runge-Kutta integrator for Ordinary Differential Equations .

GillIntegrator(double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.GillIntegrator

Simple constructor.

GLSMultipleLinearRegression - Class in org.apache.commons.math4.legacy.stat.regression

The GLS implementation of multiple linear regression.

GLSMultipleLinearRegression() - Constructor for class org.apache.commons.math4.legacy.stat.regression.GLSMultipleLinearRegression

GoalType - Enum in org.apache.commons.math4.legacy.optim.nonlinear.scalar

Goal type for an optimization problem (minimization or maximization of a scalar function.

gradient(double, double...) - Method in class org.apache.commons.math4.legacy.analysis.function.Gaussian.Parametric

Computes the value of the gradient at x.

gradient(double, double...) - Method in class org.apache.commons.math4.legacy.analysis.function.HarmonicOscillator.Parametric

Computes the value of the gradient at x.

gradient(double, double...) - Method in class org.apache.commons.math4.legacy.analysis.function.Logistic.Parametric

Computes the value of the gradient at x.

gradient(double, double...) - Method in class org.apache.commons.math4.legacy.analysis.function.Logit.Parametric

Computes the value of the gradient at x.

gradient(double, double...) - Method in class org.apache.commons.math4.legacy.analysis.function.Sigmoid.Parametric

Computes the value of the gradient at x.

gradient(double, double...) - Method in interface org.apache.commons.math4.legacy.analysis.ParametricUnivariateFunction

Compute the gradient of the function with respect to its parameters.

gradient(double, double...) - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunction.Parametric

Compute the gradient of the function with respect to its parameters.

GradientFunction - Class in org.apache.commons.math4.legacy.analysis.differentiation

Class representing the gradient of a multivariate function.

GradientFunction(MultivariateDifferentiableFunction) - Constructor for class org.apache.commons.math4.legacy.analysis.differentiation.GradientFunction

Simple constructor.

GradientMultivariateOptimizer - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar

Base class for implementing optimizers for multivariate scalar differentiable functions.

GradientMultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.GradientMultivariateOptimizer

GraggBulirschStoerIntegrator - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements a Gragg-Bulirsch-Stoer integrator for Ordinary Differential Equations.

GraggBulirschStoerIntegrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.GraggBulirschStoerIntegrator

Simple constructor.

GraggBulirschStoerIntegrator(double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.GraggBulirschStoerIntegrator

Simple constructor.

GREATER_THAN - org.apache.commons.math4.legacy.stat.inference.AlternativeHypothesis

Represents a right-sided test.

greaterThan(Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Check if instance is greater than x.

gTest(double[], long[]) - Method in class org.apache.commons.math4.legacy.stat.inference.GTest

Returns the observed significance level, or p-value, associated with a G-Test for goodness of fit comparing the observed frequency counts to those in the expected array.

gTest(double[], long[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

gTest(double[], long[], double) - Method in class org.apache.commons.math4.legacy.stat.inference.GTest

Performs a G-Test (Log-Likelihood Ratio Test) for goodness of fit evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level alpha.

gTest(double[], long[], double) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

GTest - Class in org.apache.commons.math4.legacy.stat.inference

Implements G Test statistics.

GTest() - Constructor for class org.apache.commons.math4.legacy.stat.inference.GTest

gTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math4.legacy.stat.inference.GTest

Returns the observed significance level, or p-value, associated with a G-Value (Log-Likelihood Ratio) for two sample test comparing bin frequency counts in observed1 and observed2.

gTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

gTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math4.legacy.stat.inference.GTest

Performs a G-Test (Log-Likelihood Ratio Test) comparing two binned data sets.

gTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

gTestIntrinsic(double[], long[]) - Method in class org.apache.commons.math4.legacy.stat.inference.GTest

Returns the intrinsic (Hardy-Weinberg proportions) p-Value, as described in p64-69 of McDonald, J.H.

gTestIntrinsic(double[], long[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

guess(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math4.legacy.fitting.GaussianCurveFitter.ParameterGuesser

Computes an estimation of the parameters.

guess(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math4.legacy.fitting.HarmonicCurveFitter.ParameterGuesser

Computes an estimation of the parameters.

guess(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math4.legacy.fitting.SimpleCurveFitter.ParameterGuesser

Computes an estimation of the parameters.

H

h - Variable in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

current time step.

HaltonSequenceGenerator - Class in org.apache.commons.math4.legacy.random

Implementation of a Halton sequence.

HaltonSequenceGenerator(int) - Constructor for class org.apache.commons.math4.legacy.random.HaltonSequenceGenerator

Construct a new Halton sequence generator for the given space dimension.

HaltonSequenceGenerator(int, int[], int[]) - Constructor for class org.apache.commons.math4.legacy.random.HaltonSequenceGenerator

Construct a new Halton sequence generator with the given base numbers and weights for each dimension.

handleStep(double, double[], double[], boolean) - Method in interface org.apache.commons.math4.legacy.ode.sampling.FixedStepHandler

Handle the last accepted step.

handleStep(FieldODEStateAndDerivative<T>, boolean) - Method in interface org.apache.commons.math4.legacy.ode.sampling.FieldFixedStepHandler

Handle the last accepted step.

handleStep(FieldStepInterpolator<T>, boolean) - Method in class org.apache.commons.math4.legacy.ode.ContinuousOutputFieldModel

Handle the last accepted step.

handleStep(FieldStepInterpolator<T>, boolean) - Method in interface org.apache.commons.math4.legacy.ode.sampling.FieldStepHandler

Handle the last accepted step.

handleStep(FieldStepInterpolator<T>, boolean) - Method in class org.apache.commons.math4.legacy.ode.sampling.FieldStepNormalizer

Handle the last accepted step.

handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math4.legacy.ode.ContinuousOutputModel

Handle the last accepted step.

handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math4.legacy.ode.sampling.DummyStepHandler

Handle the last accepted step.

handleStep(StepInterpolator, boolean) - Method in interface org.apache.commons.math4.legacy.ode.sampling.StepHandler

Handle the last accepted step.

handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math4.legacy.ode.sampling.StepNormalizer

Handle the last accepted step.

HarmonicCurveFitter - Class in org.apache.commons.math4.legacy.fitting

Fits points to a harmonic oscillator function.

HarmonicCurveFitter.ParameterGuesser - Class in org.apache.commons.math4.legacy.fitting

This class guesses harmonic coefficients from a sample.

HarmonicOscillator - Class in org.apache.commons.math4.legacy.analysis.function

simple harmonic oscillator function.

HarmonicOscillator(double, double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.function.HarmonicOscillator

Harmonic oscillator function.

HarmonicOscillator.Parametric - Class in org.apache.commons.math4.legacy.analysis.function

Parametric function where the input array contains the parameters of the harmonic oscillator function.

hasComplexEigenvalues() - Method in class org.apache.commons.math4.legacy.linear.EigenDecomposition

Returns whether the calculated eigen values are complex or real.

hashCode() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Get a hashCode for the derivative structure.

hashCode() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Get a hashCode for the derivative structure.

hashCode() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunction

hashCode() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Gets a hashCode for the instance.

hashCode() - Method in class org.apache.commons.math4.legacy.core.Pair

Compute a hash code.

hashCode() - Method in class org.apache.commons.math4.legacy.field.linalg.FieldDenseMatrix

hashCode() - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Computes a hash code for the matrix.

hashCode() - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Computes a hash code for the matrix.

hashCode() - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Get a hashCode for the real vector.

hashCode() - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

.

hashCode() - Method in class org.apache.commons.math4.legacy.linear.BigReal

hashCode() - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

.

hashCode() - Method in class org.apache.commons.math4.legacy.linear.RealVector

.

hashCode() - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

hashCode() - Method in class org.apache.commons.math4.legacy.ml.clustering.DoublePoint

hashCode() - Method in class org.apache.commons.math4.legacy.optim.linear.LinearConstraint

hashCode() - Method in class org.apache.commons.math4.legacy.optim.linear.LinearObjectiveFunction

hashCode() - Method in class org.apache.commons.math4.legacy.optim.PointValuePair

hashCode() - Method in class org.apache.commons.math4.legacy.stat.descriptive.AbstractStorelessUnivariateStatistic

Returns hash code based on getResult() and getN().

hashCode() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.VectorialCovariance

hashCode() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.VectorialMean

hashCode() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Returns hash code based on values of statistics.

hashCode() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.PSquarePercentile

Returns hash code based on getResult() and getN().

hashCode() - Method in class org.apache.commons.math4.legacy.stat.descriptive.StatisticalSummaryValues

Returns hash code based on values of statistics.

hashCode() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Returns hash code based on values of statistics.

hashCode() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Returns hash code based on values of statistics.

hashCode() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Returns hash code based on values of statistics.

hashCode() - Method in class org.apache.commons.math4.legacy.stat.Frequency

hasIntercept() - Method in class org.apache.commons.math4.legacy.stat.regression.MillerUpdatingRegression

A getter method which determines whether a constant is included.

hasIntercept() - Method in class org.apache.commons.math4.legacy.stat.regression.RegressionResults

Returns true if the regression model has been computed including an intercept.

hasIntercept() - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Returns true if the model includes an intercept term.

hasIntercept() - Method in interface org.apache.commons.math4.legacy.stat.regression.UpdatingMultipleLinearRegression

Returns true if a constant has been included false otherwise.

hasNext() - Method in class org.apache.commons.math4.legacy.core.IntegerSequence.Incrementor

hasNext() - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector.OpenMapSparseIterator

hasNext() - Method in class org.apache.commons.math4.legacy.linear.RealVector.SparseEntryIterator

HedarFukushimaTransform - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv

DSSA algorithm.

HedarFukushimaTransform() - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.HedarFukushimaTransform

Disable shrinking of the simplex (as mandated by DSSA).

HedarFukushimaTransform(double) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.HedarFukushimaTransform

HedarFukushimaTransform(double, UniformRandomProvider) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.HedarFukushimaTransform

hermite(int) - Method in class org.apache.commons.math4.legacy.analysis.integration.gauss.GaussIntegratorFactory

Creates a Gauss-Hermite integrator of the given order.

HermiteInterpolator - Class in org.apache.commons.math4.legacy.analysis.interpolation

Polynomial interpolator using both sample values and sample derivatives.

HermiteInterpolator() - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.HermiteInterpolator

Create an empty interpolator.

HermiteRuleFactory - Class in org.apache.commons.math4.legacy.analysis.integration.gauss

Factory that creates a Gauss-type quadrature rule using Hermite polynomials of the first kind.

HermiteRuleFactory() - Constructor for class org.apache.commons.math4.legacy.analysis.integration.gauss.HermiteRuleFactory

HighamHall54FieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements the 5(4) Higham and Hall integrator for Ordinary Differential Equations.

HighamHall54FieldIntegrator(Field<T>, double, double, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.HighamHall54FieldIntegrator

Simple constructor.

HighamHall54FieldIntegrator(Field<T>, double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.HighamHall54FieldIntegrator

Simple constructor.

HighamHall54Integrator - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements the 5(4) Higham and Hall integrator for Ordinary Differential Equations.

HighamHall54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.HighamHall54Integrator

Simple constructor.

HighamHall54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.HighamHall54Integrator

Simple constructor.

HOLE_BETWEEN_MODELS_TIME_RANGES - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

homoscedasticT(double[], double[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

homoscedasticT(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Computes a 2-sample t statistic, under the hypothesis of equal subpopulation variances.

homoscedasticT(double, double, double, double, double, double) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Computes t test statistic for 2-sample t-test under the hypothesis of equal subpopulation variances.

homoscedasticT(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

homoscedasticT(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Computes a 2-sample t statistic, comparing the means of the datasets described by two StatisticalSummary instances, under the assumption of equal subpopulation variances.

homoscedasticTTest(double[], double[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

homoscedasticTTest(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays, under the assumption that the two samples are drawn from subpopulations with equal variances.

homoscedasticTTest(double[], double[], double) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

homoscedasticTTest(double[], double[], double) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha, assuming that the subpopulation variances are equal.

homoscedasticTTest(double, double, double, double, double, double) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Computes p-value for 2-sided, 2-sample t-test, under the assumption of equal subpopulation variances.

homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances, under the hypothesis of equal subpopulation variances.

hypot(double, double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Returns the hypotenuse of a triangle with sides x and y - sqrt(x² +y²)
avoiding intermediate overflow or underflow.

hypot(double, double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

hypot(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Returns the hypotenuse of a triangle with sides this and y - sqrt(this² +y²) avoiding intermediate overflow or underflow.

hypot(DerivativeStructure, DerivativeStructure) - Static method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Returns the hypotenuse of a triangle with sides x and y - sqrt(x² +y²) avoiding intermediate overflow or underflow.

hypot(SparseGradient) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Returns the hypotenuse of a triangle with sides this and y - sqrt(this² +y²) avoiding intermediate overflow or underflow.

hypot(SparseGradient, SparseGradient) - Static method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Returns the hypotenuse of a triangle with sides x and y - sqrt(x² +y²) avoiding intermediate overflow or underflow.

hypot(Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Returns the hypotenuse of a triangle with sides this and y - sqrt(this² +y²) avoiding intermediate overflow or underflow.

hypot(T) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Returns the hypotenuse of a triangle with sides this and y - sqrt(this² +y²) avoiding intermediate overflow or underflow.

I

ID_IN_USE - Static variable in exception org.apache.commons.math4.neuralnet.internal.NeuralNetException

Error message for "identifier already used" condition.

ID_NOT_FOUND - Static variable in exception org.apache.commons.math4.neuralnet.internal.NeuralNetException

Error message for "identifier not found" condition.

identity(Field<T>, int) - Static method in class org.apache.commons.math4.legacy.field.linalg.FieldDenseMatrix

Factory method.

Identity - Class in org.apache.commons.math4.legacy.analysis.function

Identity function.

Identity() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Identity

identityPermutation(int) - Static method in class org.apache.commons.math4.legacy.genetics.RandomKey

Generates a representation corresponding to an identity permutation of length l which can be passed to the RandomKey constructor.

IdentityPreconditioner() - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.IdentityPreconditioner

IEEEremainder(double, double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Computes the remainder as prescribed by the IEEE 754 standard.

IEEEremainder(double, double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

ILL_CONDITIONED_OPERATOR - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

IllConditionedOperatorException - Exception in org.apache.commons.math4.legacy.linear

An exception to be thrown when the condition number of a RealLinearOperator is too high.

IllConditionedOperatorException(double) - Constructor for exception org.apache.commons.math4.legacy.linear.IllConditionedOperatorException

Creates a new instance of this class.

ILLEGAL_STATE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ILLINOIS - org.apache.commons.math4.legacy.analysis.solvers.BaseSecantSolver.Method

The Illinois method.

IllinoisSolver - Class in org.apache.commons.math4.legacy.analysis.solvers

Implements the Illinois method for root-finding (approximating a zero of a univariate real function).

IllinoisSolver() - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.IllinoisSolver

Construct a solver with default accuracy (1e-6).

IllinoisSolver(double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.IllinoisSolver

Construct a solver.

IllinoisSolver(double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.IllinoisSolver

Construct a solver.

IllinoisSolver(double, double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.IllinoisSolver

Construct a solver.

IMAGINARY_FORMAT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

incMoment - Variable in class org.apache.commons.math4.legacy.stat.descriptive.moment.Kurtosis

Determines whether or not this statistic can be incremented or cleared.

incMoment - Variable in class org.apache.commons.math4.legacy.stat.descriptive.moment.Mean

Determines whether or not this statistic can be incremented or cleared.

incMoment - Variable in class org.apache.commons.math4.legacy.stat.descriptive.moment.Skewness

Determines whether or not this statistic can be incremented or cleared.

incMoment - Variable in class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Whether or not Variance.increment(double) should increment the internal second moment.

INCONSISTENT_STATE_AT_2_PI_WRAPPING - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INCREASING - org.apache.commons.math4.legacy.core.MathArrays.OrderDirection

Constant for increasing direction.

increment() - Method in class org.apache.commons.math4.legacy.core.IntegerSequence.Incrementor

Adds the increment value to the current iteration count.

increment(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.AbstractStorelessUnivariateStatistic

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.GeometricMean

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Kurtosis

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Mean

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.SecondMoment

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Skewness

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.StandardDeviation

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Max

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Min

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.PSquarePercentile

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StorelessUnivariateStatistic

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.Product

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.Sum

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.SumOfLogs

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.summary.SumOfSquares

Updates the internal state of the statistic to reflect the addition of the new value.

increment(double[]) - Method in class org.apache.commons.math4.legacy.stat.correlation.StorelessCovariance

Increment the covariance matrix with one row of data.

increment(double[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.VectorialCovariance

Add a new vector to the sample.

increment(double[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.VectorialMean

Add a new vector to the sample.

increment(int) - Method in class org.apache.commons.math4.legacy.core.IntegerSequence.Incrementor

Performs multiple increments.

INCREMENT - org.apache.commons.math4.legacy.ode.sampling.StepNormalizerMode

Steps are fixed increments of the start value.

incrementAll(double[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.AbstractStorelessUnivariateStatistic

This default implementation just calls AbstractStorelessUnivariateStatistic.increment(double) in a loop over the input array.

incrementAll(double[]) - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StorelessUnivariateStatistic

Updates the internal state of the statistic to reflect addition of all values in the values array.

incrementAll(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.AbstractStorelessUnivariateStatistic

This default implementation just calls AbstractStorelessUnivariateStatistic.increment(double) in a loop over the specified portion of the input array.

incrementAll(double[], int, int) - Method in interface org.apache.commons.math4.legacy.stat.descriptive.StorelessUnivariateStatistic

Updates the internal state of the statistic to reflect addition of the values in the designated portion of the values array.

incrementEvaluationCount() - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Increment the evaluation count by one.

incrementEvaluationCount() - Method in class org.apache.commons.math4.legacy.optim.BaseOptimizer

Increment the evaluation count.

incrementExact(int) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Increment a number, detecting overflows.

incrementExact(int) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

incrementExact(long) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Increment a number, detecting overflows.

incrementExact(long) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

incrementIterationCount() - Method in class org.apache.commons.math4.legacy.linear.IterationManager

Increments the iteration count by one, and throws an exception if the maximum number of iterations is reached.

incrementIterationCount() - Method in class org.apache.commons.math4.legacy.optim.BaseOptimizer

Increment the iteration count.

incrementValue(T, long) - Method in class org.apache.commons.math4.legacy.stat.Frequency

Increments the frequency count for v.

index(double, int) - Method in enum org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile.EstimationType

Finds the index of array that can be used as starting index to estimate percentile.

INDEX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INDEX_LARGER_THAN_MAX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INDEX_NOT_POSITIVE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INDEX_OUT_OF_RANGE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

inducedPermutation(List<S>, List<S>) - Static method in class org.apache.commons.math4.legacy.genetics.RandomKey

Generates a representation of a permutation corresponding to a permutation which yields permutedData when applied to originalData.

InferenceTestUtils - Class in org.apache.commons.math4.legacy.stat.inference

A collection of static methods to create inference test instances or to perform inference tests.

INFINITE - Static variable in class org.apache.commons.math4.legacy.core.dfp.Dfp

Indicator value for Infinity.

INFINITE_ARRAY_ELEMENT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INFINITE_BOUND - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INFINITE_VALUE_CONVERSION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INFINITE_WINDOW - Static variable in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Represents an infinite window size.

init(double, double[], double) - Method in class org.apache.commons.math4.legacy.ode.ContinuousOutputModel

Initialize step handler at the start of an ODE integration.

init(double, double[], double) - Method in class org.apache.commons.math4.legacy.ode.events.EventFilter

Initialize event handler at the start of an ODE integration.

init(double, double[], double) - Method in interface org.apache.commons.math4.legacy.ode.events.EventHandler

Initialize event handler at the start of an ODE integration.

init(double, double[], double) - Method in class org.apache.commons.math4.legacy.ode.sampling.DummyStepHandler

Initialize step handler at the start of an ODE integration.

init(double, double[], double) - Method in interface org.apache.commons.math4.legacy.ode.sampling.FixedStepHandler

Initialize step handler at the start of an ODE integration.

init(double, double[], double) - Method in interface org.apache.commons.math4.legacy.ode.sampling.StepHandler

Initialize step handler at the start of an ODE integration.

init(double, double[], double) - Method in class org.apache.commons.math4.legacy.ode.sampling.StepNormalizer

Initialize step handler at the start of an ODE integration.

init(FieldODEStateAndDerivative<T>, T) - Method in class org.apache.commons.math4.legacy.ode.ContinuousOutputFieldModel

Initialize step handler at the start of an ODE integration.

init(FieldODEStateAndDerivative<T>, T) - Method in interface org.apache.commons.math4.legacy.ode.events.FieldEventHandler

Initialize event handler at the start of an ODE integration.

init(FieldODEStateAndDerivative<T>, T) - Method in interface org.apache.commons.math4.legacy.ode.sampling.FieldFixedStepHandler

Initialize step handler at the start of an ODE integration.

init(FieldODEStateAndDerivative<T>, T) - Method in interface org.apache.commons.math4.legacy.ode.sampling.FieldStepHandler

Initialize step handler at the start of an ODE integration.

init(FieldODEStateAndDerivative<T>, T) - Method in class org.apache.commons.math4.legacy.ode.sampling.FieldStepNormalizer

Initialize step handler at the start of an ODE integration.

init(T, T[], T) - Method in class org.apache.commons.math4.legacy.ode.FieldExpandableODE

Initialize equations at the start of an ODE integration.

init(T, T[], T) - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderFieldDifferentialEquations

Initialize equations at the start of an ODE integration.

init(T, T[], T[], T) - Method in interface org.apache.commons.math4.legacy.ode.FieldSecondaryEquations

Initialize equations at the start of an ODE integration.

INITIAL_CAPACITY_NOT_POSITIVE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INITIAL_COLUMN_AFTER_FINAL_COLUMN - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INITIAL_ROW_AFTER_FINAL_ROW - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

InitialGuess - Class in org.apache.commons.math4.legacy.optim

Starting point (first guess) of the optimization procedure.

InitialGuess(double[]) - Constructor for class org.apache.commons.math4.legacy.optim.InitialGuess

initializationPerformed(IterationEvent) - Method in interface org.apache.commons.math4.legacy.linear.IterationListener

Invoked after completion of the initial phase of the iterative algorithm (prior to the main iteration loop).

initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math4.legacy.ode.MultistepIntegrator

Initialize the high order scaled derivatives at step start.

initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in interface org.apache.commons.math4.legacy.ode.MultistepIntegrator.NordsieckTransformer

Deprecated.

Initialize the high order scaled derivatives at step start.

initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsIntegrator

Initialize the high order scaled derivatives at step start.

initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsNordsieckTransformer

Initialize the high order scaled derivatives at step start.

initializeHighOrderDerivatives(T, T[], T[][], T[][]) - Method in class org.apache.commons.math4.legacy.ode.MultistepFieldIntegrator

Initialize the high order scaled derivatives at step start.

initializeHighOrderDerivatives(T, T[], T[][], T[][]) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsFieldIntegrator

Initialize the high order scaled derivatives at step start.

initializeHighOrderDerivatives(T, T[], T[][], T[][]) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsNordsieckFieldTransformer

Initialize the high order scaled derivatives at step start.

initializeStep(boolean, int, double[], double, double[], double[], double[], double[]) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeIntegrator

Initialize the integration step.

initializeStep(boolean, int, T[], FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeFieldIntegrator

Initialize the integration step.

initIntegration(double, double[], double) - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Prepare the start of an integration.

initIntegration(FieldExpandableODE<T>, T, T[], T) - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Prepare the start of an integration.

innerDistribution - Variable in class org.apache.commons.math4.legacy.distribution.EnumeratedIntegerDistribution

EnumeratedDistribution instance (using the Integer wrapper) used to generate the pmf.

innerDistribution - Variable in class org.apache.commons.math4.legacy.distribution.EnumeratedRealDistribution

EnumeratedDistribution (using the Double wrapper) used to generate the pmf.

INPUT_ARRAY - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

insertEquationData(double[], double[]) - Method in class org.apache.commons.math4.legacy.ode.EquationsMapper

Insert equation data into a complete state or derivative array.

insertEquationData(int, T[], T[]) - Method in class org.apache.commons.math4.legacy.ode.FieldEquationsMapper

Insert equation data into a complete state or derivative array.

INSTANCES_NOT_COMPARABLE_TO_EXISTING_VALUES - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INSUFFICIENT_DATA - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INSUFFICIENT_DATA_FOR_T_STATISTIC - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INSUFFICIENT_DIMENSION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INSUFFICIENT_OBSERVED_POINTS_IN_SAMPLE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INSUFFICIENT_ROWS_AND_COLUMNS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

InsufficientDataException - Exception in org.apache.commons.math4.legacy.exception

Exception to be thrown when there is insufficient data to perform a computation.

InsufficientDataException() - Constructor for exception org.apache.commons.math4.legacy.exception.InsufficientDataException

Construct the exception.

InsufficientDataException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.legacy.exception.InsufficientDataException

Construct the exception with a specific context.

INTEGER_ZERO - Static variable in exception org.apache.commons.math4.legacy.exception.MathIllegalNumberException

Helper to avoid boxing warnings.

IntegerSequence - Class in org.apache.commons.math4.legacy.core

Provides a sequence of integers.

IntegerSequence.Incrementor - Class in org.apache.commons.math4.legacy.core

Utility that increments a counter until a maximum is reached, at which point, the instance will by default throw a MaxCountExceededException.

IntegerSequence.Incrementor.MaxCountExceededCallback - Interface in org.apache.commons.math4.legacy.core

Defines a method to be called at counter exhaustion.

IntegerSequence.Range - Class in org.apache.commons.math4.legacy.core

Generates a sequence of integers.

integrate(int, UnivariateFunction, double, double) - Method in class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

Integrate the function in the given interval.

integrate(int, UnivariateFunction, double, double) - Method in interface org.apache.commons.math4.legacy.analysis.integration.UnivariateIntegrator

Integrate the function in the given interval.

integrate(UnivariateFunction) - Method in class org.apache.commons.math4.legacy.analysis.integration.gauss.GaussIntegrator

Returns an estimate of the integral of f(x) * w(x), where w is a weight function that depends on the actual flavor of the Gauss integration scheme.

integrate(UnivariateFunction) - Method in class org.apache.commons.math4.legacy.analysis.integration.gauss.SymmetricGaussIntegrator

Returns an estimate of the integral of f(x) * w(x), where w is a weight function that depends on the actual flavor of the Gauss integration scheme.

integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Integrate a set of differential equations up to the given time.

integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsBashforthIntegrator

Integrate a set of differential equations up to the given time.

integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsIntegrator

Integrate a set of differential equations up to the given time.

integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsMoultonIntegrator

Integrate a set of differential equations up to the given time.

integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeIntegrator

Integrate a set of differential equations up to the given time.

integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Integrate a set of differential equations up to the given time.

integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.GraggBulirschStoerIntegrator

Integrate a set of differential equations up to the given time.

integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.RungeKuttaIntegrator

Integrate a set of differential equations up to the given time.

integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderFieldIntegrator

Integrate the differential equations up to the given time.

integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsBashforthFieldIntegrator

Integrate the differential equations up to the given time.

integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsFieldIntegrator

Integrate the differential equations up to the given time.

integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsMoultonFieldIntegrator

Integrate the differential equations up to the given time.

integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator

Integrate the differential equations up to the given time.

integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.RungeKuttaFieldIntegrator

Integrate the differential equations up to the given time.

integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Integrate the differential equations up to the given time.

integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderIntegrator

Integrate the differential equations up to the given time.

integrate(SecondOrderDifferentialEquations, double, double[], double[], double, double[], double[]) - Method in interface org.apache.commons.math4.legacy.ode.SecondOrderIntegrator

Integrate the differential equations up to the given time.

INTEGRATION_METHOD_NEEDS_AT_LEAST_TWO_PREVIOUS_POINTS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INTERNAL_ERROR - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

interpolate(double[][], double[]) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.MicrosphereProjectionInterpolator

Computes an interpolating function for the data set.

interpolate(double[][], double[]) - Method in interface org.apache.commons.math4.legacy.analysis.interpolation.MultivariateInterpolator

Computes an interpolating function for the data set.

interpolate(double[], double[]) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.AkimaSplineInterpolator

Computes an interpolating function for the data set.

interpolate(double[], double[]) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.DividedDifferenceInterpolator

Compute an interpolating function for the dataset.

interpolate(double[], double[]) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.LinearInterpolator

Computes a linear interpolating function for the data set.

interpolate(double[], double[]) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.LoessInterpolator

Compute an interpolating function by performing a loess fit on the data at the original abscissae and then building a cubic spline with a SplineInterpolator on the resulting fit.

interpolate(double[], double[]) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.NevilleInterpolator

Computes an interpolating function for the data set.

interpolate(double[], double[]) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.SplineInterpolator

Computes an interpolating function for the data set.

interpolate(double[], double[]) - Method in interface org.apache.commons.math4.legacy.analysis.interpolation.UnivariateInterpolator

Computes an interpolating function for the dataset.

interpolate(double[], double[]) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.UnivariatePeriodicInterpolator

Computes an interpolating function for the dataset.

interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.BicubicInterpolator

Compute an interpolating function for the dataset.

interpolate(double[], double[], double[][]) - Method in interface org.apache.commons.math4.legacy.analysis.interpolation.BivariateGridInterpolator

Compute an interpolating function for the dataset.

interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.PiecewiseBicubicSplineInterpolator

Compute an interpolating function for the dataset.

interpolate(double[], double[], double[], double[][][]) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.TricubicInterpolator

Compute an interpolating function for the dataset.

interpolate(double[], double[], double[], double[][][]) - Method in interface org.apache.commons.math4.legacy.analysis.interpolation.TrivariateGridInterpolator

Compute an interpolating function for the dataset.

interpolate(double[], double[], double, double) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.ClampedSplineInterpolator

Computes an interpolating function for the data set.

interpolatedDerivatives - Variable in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

interpolated derivatives.

interpolatedPrimaryDerivatives - Variable in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

interpolated primary derivatives.

interpolatedPrimaryState - Variable in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

interpolated primary state.

interpolatedSecondaryDerivatives - Variable in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

interpolated secondary derivatives.

interpolatedSecondaryState - Variable in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

interpolated secondary state.

interpolatedState - Variable in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

interpolated state.

interpolatedTime - Variable in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

interpolated time.

interpolateXAtY(WeightedObservedPoint[], int, int, double) - Method in class org.apache.commons.math4.legacy.fitting.SimpleCurveFitter.ParameterGuesser

Interpolates using the specified points to determine X at the specified Y.

InterpolatingMicrosphere - Class in org.apache.commons.math4.legacy.analysis.interpolation

Utility class for the MicrosphereProjectionInterpolator algorithm.

InterpolatingMicrosphere(int, int, double, double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.InterpolatingMicrosphere

Create an uninitialized sphere.

InterpolatingMicrosphere(int, int, double, double, double, UnitSphereSampler) - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.InterpolatingMicrosphere

Create a sphere from randomly sampled vectors.

InterpolatingMicrosphere(InterpolatingMicrosphere) - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.InterpolatingMicrosphere

Copy constructor.

InterpolatingMicrosphere2D - Class in org.apache.commons.math4.legacy.analysis.interpolation

Utility class for the MicrosphereProjectionInterpolator algorithm.

InterpolatingMicrosphere2D(int, double, double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.InterpolatingMicrosphere2D

Create a sphere from vectors regularly sampled around a circle.

InterpolatingMicrosphere2D(InterpolatingMicrosphere2D) - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.InterpolatingMicrosphere2D

Copy constructor.

IntervalUtils - Class in org.apache.commons.math4.legacy.stat.interval

Factory methods to generate confidence intervals for a binomial proportion.

intLog10() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Get the exponent of the greatest power of 10 that is less than or equal to abs(this).

intValue() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Convert this to an integer.

INVALID_BINARY_CHROMOSOME - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INVALID_BINARY_DIGIT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INVALID_BRACKETING_PARAMETERS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INVALID_FIXED_LENGTH_CHROMOSOME - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INVALID_IMPLEMENTATION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INVALID_INTERVAL_INITIAL_VALUE_PARAMETERS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INVALID_ITERATIONS_LIMITS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INVALID_MAX_ITERATIONS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INVALID_REGRESSION_ARRAY - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INVALID_REGRESSION_OBSERVATION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

INVALID_ROUNDING_METHOD - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

InvalidRepresentationException - Exception in org.apache.commons.math4.legacy.genetics

Exception indicating that the representation of a chromosome is not valid.

InvalidRepresentationException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.legacy.genetics.InvalidRepresentationException

Construct an InvalidRepresentationException with a specialized message.

inverse() - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Computes the inverse of this diagonal matrix.

inverse(double) - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Computes the inverse of this diagonal matrix.

inverse(RealMatrix) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Computes the inverse of the given matrix.

inverse(RealMatrix, double) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Computes the inverse of the given matrix.

Inverse - Class in org.apache.commons.math4.legacy.analysis.function

Inverse function.

Inverse() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Inverse

inverseCumulativeProbability(double) - Method in class org.apache.commons.math4.legacy.distribution.AbstractIntegerDistribution

The default implementation returns DiscreteDistribution.getSupportLowerBound() for p = 0, DiscreteDistribution.getSupportUpperBound() for p = 1, and AbstractIntegerDistribution.solveInverseCumulativeProbability(double, int, int) for 0 < p < 1.

inverseCumulativeProbability(double) - Method in class org.apache.commons.math4.legacy.distribution.AbstractRealDistribution

The default implementation returns ContinuousDistribution.getSupportLowerBound() for p = 0, ContinuousDistribution.getSupportUpperBound() for p = 1.

inverseCumulativeProbability(double) - Method in class org.apache.commons.math4.legacy.distribution.EmpiricalDistribution

The default implementation returns ContinuousDistribution.getSupportLowerBound() for p = 0, ContinuousDistribution.getSupportUpperBound() for p = 1.

inverseCumulativeProbability(double) - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedRealDistribution

isBetterScore(double, double) - Method in interface org.apache.commons.math4.legacy.ml.clustering.ClusterEvaluator

Provides a means to interpret the score value.

isBetterScore(double, double) - Method in class org.apache.commons.math4.legacy.ml.clustering.evaluation.CalinskiHarabasz

Provides a means to interpret the score value.

isBetterScore(double, double) - Method in class org.apache.commons.math4.legacy.ml.clustering.evaluation.SumOfClusterVariances

Provides a means to interpret the score value.

isBiasCorrected() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance

Returns true iff biasCorrected property is set to true.

isBiasCorrected() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.StandardDeviation

isBiasCorrected() - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

isBracketing(double, double) - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Check whether the function takes opposite signs at the endpoints.

isBracketing(UnivariateFunction, double, double) - Static method in class org.apache.commons.math4.legacy.analysis.solvers.UnivariateSolverUtils

Check whether the interval bounds bracket a root.

isDefaultValue(double) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Determine if this value is within epsilon of zero.

isForward() - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractFieldStepInterpolator

Check if the natural integration direction is forward.

isForward() - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Check if the natural integration direction is forward.

isForward() - Method in interface org.apache.commons.math4.legacy.ode.sampling.FieldStepInterpolator

Check if the natural integration direction is forward.

isForward() - Method in interface org.apache.commons.math4.legacy.ode.sampling.StepInterpolator

Check if the natural integration direction is forward.

isInfinite() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Check if instance is infinite.

isInfinite() - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Check whether any coordinate of this vector is infinite and none are NaN.

isInfinite() - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Check whether any coordinate of this vector is infinite and none are NaN.

isInfinite() - Method in class org.apache.commons.math4.legacy.linear.RealVector

Check whether any coordinate of this vector is infinite and none are NaN.

isLastStep - Variable in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Indicator for last step.

isLastStep() - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Check if this step is the last one.

isMonotonic(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Check that an array is monotonically increasing or decreasing.

isMonotonic(T[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Check that an array is monotonically increasing or decreasing.

isNaN() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Check if instance is not a number.

isNaN() - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Check if any coordinate of this vector is NaN.

isNaN() - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Check whether any coordinate of this vector is NaN.

isNaN() - Method in class org.apache.commons.math4.legacy.linear.RealVector

Check whether any coordinate of this vector is NaN.

isNoIntercept() - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

isNonSingular() - Method in interface org.apache.commons.math4.legacy.linear.DecompositionSolver

Check if the decomposed matrix is non-singular.

isNonSingular() - Method in interface org.apache.commons.math4.legacy.linear.FieldDecompositionSolver

Check if the decomposed matrix is non-singular.

isRandomStart() - Method in class org.apache.commons.math4.legacy.genetics.CycleCrossover

Returns whether the starting index is chosen randomly or set to zero.

isRestrictedToNonNegative() - Method in class org.apache.commons.math4.legacy.optim.linear.LinearOptimizer

isRestrictedToNonNegative() - Method in class org.apache.commons.math4.legacy.optim.linear.NonNegativeConstraint

Indicates whether all the variables must be restricted to non-negative values.

isSame(Chromosome) - Method in class org.apache.commons.math4.legacy.genetics.BinaryChromosome

Returns true iff another has the same representation and therefore the same fitness.

isSame(Chromosome) - Method in class org.apache.commons.math4.legacy.genetics.Chromosome

Returns true iff another has the same representation and therefore the same fitness.

isSame(Chromosome) - Method in class org.apache.commons.math4.legacy.genetics.RandomKey

Returns true iff another is a RandomKey and encodes the same permutation.

isSatisfied(Population) - Method in class org.apache.commons.math4.legacy.genetics.FixedElapsedTime

Determine whether or not the maximum allowed time has passed.

isSatisfied(Population) - Method in class org.apache.commons.math4.legacy.genetics.FixedGenerationCount

Determine whether or not the given number of generations have passed.

isSatisfied(Population) - Method in interface org.apache.commons.math4.legacy.genetics.StoppingCondition

Determine whether or not the given population satisfies the stopping condition.

isSequence(double, double, double) - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Check whether the arguments form a (strictly) increasing sequence.

isSequence(double, double, double) - Static method in class org.apache.commons.math4.legacy.analysis.solvers.UnivariateSolverUtils

Check whether the arguments form a (strictly) increasing sequence.

isSingular() - Method in class org.apache.commons.math4.legacy.field.linalg.FieldLUDecomposition

isSingular(double) - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Returns whether this diagonal matrix is singular, i.e.

isSolutionOptimal() - Method in class org.apache.commons.math4.legacy.optim.linear.SolutionCallback

Returns if the found solution is optimal.

isSquare() - Method in interface org.apache.commons.math4.legacy.linear.AnyMatrix

Indicates whether this is a square matrix.

isSupported(String) - Method in class org.apache.commons.math4.legacy.ode.AbstractParameterizable

Check if a parameter is supported.

isSupported(String) - Method in interface org.apache.commons.math4.legacy.ode.Parameterizable

Check if a parameter is supported.

isSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Checks whether a matrix is symmetric.

isTransposable() - Method in class org.apache.commons.math4.legacy.linear.RealLinearOperator

Returns true if this operator supports RealLinearOperator.operateTranspose(RealVector).

isValidPoint(double) - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialSplineFunction

Indicates whether a point is within the interpolation range.

isValidPoint(double, double) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.BicubicInterpolatingFunction

Indicates whether a point is within the interpolation range.

isValidPoint(double, double) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction

Indicates whether a point is within the interpolation range.

isValidPoint(double, double, double) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.TricubicInterpolatingFunction

Indicates whether a point is within the interpolation range.

isWrapped() - Method in class org.apache.commons.math4.neuralnet.oned.NeuronString

Indicates whether the line of neurons is wrapped.

isWrappedColumn() - Method in class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D

Indicates whether the map is wrapped along the second dimension.

isWrappedRow() - Method in class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D

Indicates whether the map is wrapped along the first dimension.

isZero() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Check if instance is equal to zero.

IterationEvent - Class in org.apache.commons.math4.legacy.linear

The root class from which all events occurring while running an IterationManager should be derived.

IterationEvent(Object, int) - Constructor for class org.apache.commons.math4.legacy.linear.IterationEvent

Creates a new instance of this class.

IterationListener - Interface in org.apache.commons.math4.legacy.linear

The listener interface for receiving events occurring in an iterative algorithm.

IterationManager - Class in org.apache.commons.math4.legacy.linear

This abstract class provides a general framework for managing iterative algorithms.

IterationManager(int) - Constructor for class org.apache.commons.math4.legacy.linear.IterationManager

Creates a new instance of this class.

IterationManager(int, IntegerSequence.Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math4.legacy.linear.IterationManager

Creates a new instance of this class.

iterationPerformed(IterationEvent) - Method in interface org.apache.commons.math4.legacy.linear.IterationListener

Invoked each time an iteration is completed (in the main iteration loop).

iterations - Variable in class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

The iteration count.

ITERATIONS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

iterationStarted(IterationEvent) - Method in interface org.apache.commons.math4.legacy.linear.IterationListener

Invoked each time a new iteration is completed (in the main iteration loop).

IterativeLegendreGaussIntegrator - Class in org.apache.commons.math4.legacy.analysis.integration

This algorithm divides the integration interval into equally-sized sub-interval and on each of them performs a Legendre-Gauss quadrature.

IterativeLegendreGaussIntegrator(int, double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.integration.IterativeLegendreGaussIntegrator

Builds an integrator with given accuracies.

IterativeLegendreGaussIntegrator(int, double, double, int, int) - Constructor for class org.apache.commons.math4.legacy.analysis.integration.IterativeLegendreGaussIntegrator

Builds an integrator with given accuracies and iterations counts.

IterativeLegendreGaussIntegrator(int, int, int) - Constructor for class org.apache.commons.math4.legacy.analysis.integration.IterativeLegendreGaussIntegrator

Builds an integrator with given iteration counts.

IterativeLinearSolver - Class in org.apache.commons.math4.legacy.linear

This abstract class defines an iterative solver for the linear system A · x = b.

IterativeLinearSolver(int) - Constructor for class org.apache.commons.math4.legacy.linear.IterativeLinearSolver

Creates a new instance of this class, with default iteration manager.

IterativeLinearSolver(IterationManager) - Constructor for class org.apache.commons.math4.legacy.linear.IterativeLinearSolver

Creates a new instance of this class, with custom iteration manager.

IterativeLinearSolverEvent - Class in org.apache.commons.math4.legacy.linear

This is the base class for all events occurring during the iterations of a IterativeLinearSolver.

IterativeLinearSolverEvent(Object, int) - Constructor for class org.apache.commons.math4.legacy.linear.IterativeLinearSolverEvent

Creates a new instance of this class.

iterator() - Method in class org.apache.commons.math4.legacy.core.IntegerSequence.Range

iterator() - Method in class org.apache.commons.math4.legacy.genetics.ListPopulation

Returns an iterator over the unmodifiable list of chromosomes.

iterator() - Method in class org.apache.commons.math4.legacy.linear.RealVector

Generic dense iterator.

iterator() - Method in class org.apache.commons.math4.neuralnet.Network

iterator() - Method in class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D

ITERATOR_EXHAUSTED - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

J

JacobianFunction - Class in org.apache.commons.math4.legacy.analysis.differentiation

Class representing the Jacobian of a multivariate vector function.

JacobianFunction(MultivariateDifferentiableVectorFunction) - Constructor for class org.apache.commons.math4.legacy.analysis.differentiation.JacobianFunction

Simple constructor.

JacobianMatrices - Class in org.apache.commons.math4.legacy.ode

This class defines a set of secondary equations to compute the Jacobian matrices with respect to the initial state vector and, if any, to some parameters of the primary ODE set.

JacobianMatrices(FirstOrderDifferentialEquations, double[], String...) - Constructor for class org.apache.commons.math4.legacy.ode.JacobianMatrices

Simple constructor for a secondary equations set computing Jacobian matrices.

JacobianMatrices(MainStateJacobianProvider, String...) - Constructor for class org.apache.commons.math4.legacy.ode.JacobianMatrices

Simple constructor for a secondary equations set computing Jacobian matrices.

JacobianMatrices.MismatchedEquations - Exception in org.apache.commons.math4.legacy.ode

Special exception for equations mismatch.

JacobiPreconditioner - Class in org.apache.commons.math4.legacy.linear

This class implements the standard Jacobi (diagonal) preconditioner.

JacobiPreconditioner(double[], boolean) - Constructor for class org.apache.commons.math4.legacy.linear.JacobiPreconditioner

Creates a new instance of this class.

JDK - org.apache.commons.math4.core.jdkmath.JdkMath.Impl

JDK.

JdkMath - Class in org.apache.commons.math4.core.jdkmath

Wrapper for alternative implementations of Math functions.

JdkMath.Impl - Enum in org.apache.commons.math4.core.jdkmath

Available implementations of Math functions.

K

KalmanFilter - Class in org.apache.commons.math4.legacy.filter

Implementation of a Kalman filter to estimate the state x_k of a discrete-time controlled process that is governed by the linear stochastic difference equation:

KalmanFilter(ProcessModel, MeasurementModel) - Constructor for class org.apache.commons.math4.legacy.filter.KalmanFilter

Creates a new Kalman filter with the given process and measurement models.

KendallsCorrelation - Class in org.apache.commons.math4.legacy.stat.correlation

Implementation of Kendall's Tau-b rank correlation.

KendallsCorrelation() - Constructor for class org.apache.commons.math4.legacy.stat.correlation.KendallsCorrelation

Create a KendallsCorrelation instance without data.

KendallsCorrelation(double[][]) - Constructor for class org.apache.commons.math4.legacy.stat.correlation.KendallsCorrelation

Create a KendallsCorrelation from a rectangular array whose columns represent values of variables to be correlated.

KendallsCorrelation(RealMatrix) - Constructor for class org.apache.commons.math4.legacy.stat.correlation.KendallsCorrelation

Create a KendallsCorrelation from a RealMatrix whose columns represent variables to be correlated.

KMeansPlusPlusClusterer<T extends Clusterable> - Class in org.apache.commons.math4.legacy.ml.clustering

Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm.

KMeansPlusPlusClusterer(int) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.KMeansPlusPlusClusterer

Build a clusterer.

KMeansPlusPlusClusterer(int, int) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.KMeansPlusPlusClusterer

Build a clusterer.

KMeansPlusPlusClusterer(int, int, DistanceMeasure) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.KMeansPlusPlusClusterer

Build a clusterer.

KMeansPlusPlusClusterer(int, int, DistanceMeasure, UniformRandomProvider) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.KMeansPlusPlusClusterer

Build a clusterer.

KMeansPlusPlusClusterer(int, int, DistanceMeasure, UniformRandomProvider, KMeansPlusPlusClusterer.EmptyClusterStrategy) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.KMeansPlusPlusClusterer

Build a clusterer.

KMeansPlusPlusClusterer.EmptyClusterStrategy - Enum in org.apache.commons.math4.legacy.ml.clustering

Strategies to use for replacing an empty cluster.

KohonenTrainingTask - Class in org.apache.commons.math4.neuralnet.sofm

Trainer for Kohonen's Self-Organizing Map.

KohonenTrainingTask(Network, Iterator<double[]>, KohonenUpdateAction) - Constructor for class org.apache.commons.math4.neuralnet.sofm.KohonenTrainingTask

Creates a (sequential) trainer for the given network.

KohonenUpdateAction - Class in org.apache.commons.math4.neuralnet.sofm

Update formula for Kohonen's Self-Organizing Map.

KohonenUpdateAction(DistanceMeasure, LearningFactorFunction, NeighbourhoodSizeFunction) - Constructor for class org.apache.commons.math4.neuralnet.sofm.KohonenUpdateAction

kolmogorovSmirnovStatistic(double[], double[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

kolmogorovSmirnovStatistic(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.inference.KolmogorovSmirnovTest

Computes the two-sample Kolmogorov-Smirnov test statistic, \(D_{n,m}=\sup_x |F_n(x)-F_m(x)|\) where \(n\) is the length of x, \(m\) is the length of y, \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values in x and \(F_m\) is the empirical distribution of the y values.

kolmogorovSmirnovStatistic(ContinuousDistribution, double[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

kolmogorovSmirnovStatistic(ContinuousDistribution, double[]) - Method in class org.apache.commons.math4.legacy.stat.inference.KolmogorovSmirnovTest

Computes the one-sample Kolmogorov-Smirnov test statistic, \(D_n=\sup_x |F_n(x)-F(x)|\) where \(F\) is the distribution (cdf) function associated with distribution, \(n\) is the length of data and \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values in data.

kolmogorovSmirnovTest(double[], double[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

kolmogorovSmirnovTest(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.inference.KolmogorovSmirnovTest

Computes the p-value, or observed significance level, of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution.

kolmogorovSmirnovTest(double[], double[], boolean) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

kolmogorovSmirnovTest(double[], double[], boolean) - Method in class org.apache.commons.math4.legacy.stat.inference.KolmogorovSmirnovTest

Computes the p-value, or observed significance level, of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution.

kolmogorovSmirnovTest(ContinuousDistribution, double[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

kolmogorovSmirnovTest(ContinuousDistribution, double[]) - Method in class org.apache.commons.math4.legacy.stat.inference.KolmogorovSmirnovTest

Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.

kolmogorovSmirnovTest(ContinuousDistribution, double[], boolean) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

kolmogorovSmirnovTest(ContinuousDistribution, double[], boolean) - Method in class org.apache.commons.math4.legacy.stat.inference.KolmogorovSmirnovTest

Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.

kolmogorovSmirnovTest(ContinuousDistribution, double[], double) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

kolmogorovSmirnovTest(ContinuousDistribution, double[], double) - Method in class org.apache.commons.math4.legacy.stat.inference.KolmogorovSmirnovTest

Performs a Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.

KolmogorovSmirnovTest - Class in org.apache.commons.math4.legacy.stat.inference

Implementation of the Kolmogorov-Smirnov (K-S) test for equality of continuous distributions.

KolmogorovSmirnovTest() - Constructor for class org.apache.commons.math4.legacy.stat.inference.KolmogorovSmirnovTest

ksSum(double, double, int) - Method in class org.apache.commons.math4.legacy.stat.inference.KolmogorovSmirnovTest

Computes \( 1 + 2 \sum_{i=1}^\infty (-1)^i e^{-2 i^2 t^2} \) stopping when successive partial sums are within tolerance of one another, or when maxIterations partial sums have been computed.

KthSelector - Class in org.apache.commons.math4.legacy.stat.descriptive.rank

A Simple K^th selector implementation to pick up the K^th ordered element from a work array containing the input numbers.

KthSelector() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.rank.KthSelector

Constructor with default median of 3 pivoting strategy.

KthSelector(PivotingStrategy) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.rank.KthSelector

Constructor with specified pivoting strategy.

Kurtosis - Class in org.apache.commons.math4.legacy.stat.descriptive.moment

Computes the Kurtosis of the available values.

Kurtosis() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.Kurtosis

Construct a Kurtosis.

Kurtosis(FourthMoment) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.Kurtosis

Construct a Kurtosis from an external moment.

Kurtosis(Kurtosis) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.Kurtosis

Copy constructor, creates a new Kurtosis identical to the original.

L

laguerre(int) - Method in class org.apache.commons.math4.legacy.analysis.integration.gauss.GaussIntegratorFactory

Creates a Gauss-Laguerre integrator of the given order.

LaguerreRuleFactory - Class in org.apache.commons.math4.legacy.analysis.integration.gauss

Factory that creates Gauss-type quadrature rule using Laguerre polynomials.

LaguerreRuleFactory() - Constructor for class org.apache.commons.math4.legacy.analysis.integration.gauss.LaguerreRuleFactory

LaguerreSolver - Class in org.apache.commons.math4.legacy.analysis.solvers

Implements the Laguerre's Method for root finding of real coefficient polynomials.

LaguerreSolver() - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.LaguerreSolver

Construct a solver with default accuracy (1e-6).

LaguerreSolver(double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.LaguerreSolver

Construct a solver.

LaguerreSolver(double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.LaguerreSolver

Construct a solver.

LaguerreSolver(double, double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.LaguerreSolver

Construct a solver.

LARGEST_POINTS_NUMBER - org.apache.commons.math4.legacy.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy

Split the cluster with largest number of points.

LARGEST_VARIANCE - org.apache.commons.math4.legacy.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy

Split the cluster with largest distance variance.

LAST - org.apache.commons.math4.legacy.ode.sampling.StepNormalizerBounds

Include the last point, but not the first point.

lastIncluded() - Method in enum org.apache.commons.math4.legacy.ode.sampling.StepNormalizerBounds

Returns a value indicating whether the last point should be passed to the underlying fixed step size step handler.

lazyEvaluation(boolean) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresBuilder

Configure whether evaluation will be lazy or not.

LCM_OVERFLOW_32_BITS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

LCM_OVERFLOW_64_BITS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

LearningFactorFunction - Interface in org.apache.commons.math4.neuralnet.sofm

Provides the learning rate as a function of the number of calls already performed during the learning task.

LearningFactorFunctionFactory - Class in org.apache.commons.math4.neuralnet.sofm

Factory for creating instances of LearningFactorFunction.

LeastSquaresAdapter - Class in org.apache.commons.math4.legacy.fitting.leastsquares

An adapter that delegates to another implementation of LeastSquaresProblem.

LeastSquaresAdapter(LeastSquaresProblem) - Constructor for class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresAdapter

Delegate the LeastSquaresProblem interface to the given implementation.

LeastSquaresBuilder - Class in org.apache.commons.math4.legacy.fitting.leastsquares

A mutable builder for LeastSquaresProblems.

LeastSquaresBuilder() - Constructor for class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresBuilder

LeastSquaresConverter - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar

This class converts vectorial objective functions to scalar objective functions when the goal is to minimize them.

LeastSquaresConverter(MultivariateVectorFunction, double[]) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.LeastSquaresConverter

Builds a simple converter for uncorrelated residuals with identical weights.

LeastSquaresConverter(MultivariateVectorFunction, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.LeastSquaresConverter

Builds a simple converter for uncorrelated residuals with the specified weights.

LeastSquaresConverter(MultivariateVectorFunction, double[], RealMatrix) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.LeastSquaresConverter

Builds a simple converter for correlated residuals with the specified weights.

LeastSquaresFactory - Class in org.apache.commons.math4.legacy.fitting.leastsquares

A Factory for creating LeastSquaresProblems.

LeastSquaresOptimizer - Interface in org.apache.commons.math4.legacy.fitting.leastsquares

An algorithm that can be applied to a non-linear least squares problem.

LeastSquaresOptimizer.Optimum - Interface in org.apache.commons.math4.legacy.fitting.leastsquares

The optimum found by the optimizer.

LeastSquaresProblem - Interface in org.apache.commons.math4.legacy.fitting.leastsquares

The data necessary to define a non-linear least squares problem.

LeastSquaresProblem.Evaluation - Interface in org.apache.commons.math4.legacy.fitting.leastsquares

An evaluation of a LeastSquaresProblem at a particular point.

LEFT - org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D.HorizontalDirection

Column at the left of the current column.

LEFT_SIDE - org.apache.commons.math4.legacy.analysis.solvers.AllowedSolution

Only solutions that are less than or equal to the actual root are acceptable as solutions for root-finding.

LEGACY - org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile.EstimationType

This is the default type used in the Percentile.This method.

legendre(int) - Method in class org.apache.commons.math4.legacy.analysis.integration.gauss.GaussIntegratorFactory

Creates a Gauss-Legendre integrator of the given order.

legendre(int, double, double) - Method in class org.apache.commons.math4.legacy.analysis.integration.gauss.GaussIntegratorFactory

Creates a Gauss-Legendre integrator of the given order.

legendreHighPrecision(int) - Method in class org.apache.commons.math4.legacy.analysis.integration.gauss.GaussIntegratorFactory

Creates a Gauss-Legendre integrator of the given order.

legendreHighPrecision(int, double, double) - Method in class org.apache.commons.math4.legacy.analysis.integration.gauss.GaussIntegratorFactory

Creates an integrator of the given order, and whose call to the integrate method will perform an integration on the given interval.

LegendreHighPrecisionRuleFactory - Class in org.apache.commons.math4.legacy.analysis.integration.gauss

Factory that creates Gauss-type quadrature rule using Legendre polynomials.

LegendreHighPrecisionRuleFactory() - Constructor for class org.apache.commons.math4.legacy.analysis.integration.gauss.LegendreHighPrecisionRuleFactory

Default precision is DECIMAL128.

LegendreHighPrecisionRuleFactory(MathContext) - Constructor for class org.apache.commons.math4.legacy.analysis.integration.gauss.LegendreHighPrecisionRuleFactory

LegendreRuleFactory - Class in org.apache.commons.math4.legacy.analysis.integration.gauss

Factory that creates Gauss-type quadrature rule using Legendre polynomials.

LegendreRuleFactory() - Constructor for class org.apache.commons.math4.legacy.analysis.integration.gauss.LegendreRuleFactory

LENGTH - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

LEQ - org.apache.commons.math4.legacy.optim.linear.Relationship

Lesser than or equal relationship.

LESS_THAN - org.apache.commons.math4.legacy.stat.inference.AlternativeHypothesis

Represents a left-sided test.

lessThan(Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Check if instance is less than x.

LevenbergMarquardtOptimizer - Class in org.apache.commons.math4.legacy.fitting.leastsquares

This class solves a least-squares problem using the Levenberg-Marquardt algorithm.

LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math4.legacy.fitting.leastsquares.LevenbergMarquardtOptimizer

Default constructor.

LevenbergMarquardtOptimizer(double, double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.fitting.leastsquares.LevenbergMarquardtOptimizer

Construct an instance with all parameters specified.

linearCombination(double[], DerivativeStructure[]) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Compute a linear combination.

linearCombination(double[], SparseGradient[]) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Compute a linear combination.

linearCombination(double[], Dfp[]) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Compute a linear combination.

linearCombination(double[], T[]) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Compute a linear combination.

linearCombination(double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute linear combination.

linearCombination(double, double[], int, double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute linear combination.

linearCombination(double, double[], int, double, double[], int, double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute linear combination.

linearCombination(double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Compute a linear combination.

linearCombination(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Compute a linear combination.

linearCombination(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Compute a linear combination.

linearCombination(double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Compute a linear combination.

linearCombination(double, SparseGradient, double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Compute a linear combination.

linearCombination(double, SparseGradient, double, SparseGradient, double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Compute a linear combination.

linearCombination(double, Dfp, double, Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Compute a linear combination.

linearCombination(double, Dfp, double, Dfp, double, Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Compute a linear combination.

linearCombination(double, Dfp, double, Dfp, double, Dfp, double, Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Compute a linear combination.

linearCombination(double, T, double, T) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Compute a linear combination.

linearCombination(double, T, double, T, double, T) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Compute a linear combination.

linearCombination(double, T, double, T, double, T, double, T) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Compute a linear combination.

linearCombination(DerivativeStructure[], DerivativeStructure[]) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Compute a linear combination.

linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Compute a linear combination.

linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Compute a linear combination.

linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Compute a linear combination.

linearCombination(SparseGradient[], SparseGradient[]) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Compute a linear combination.

linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Compute a linear combination.

linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Compute a linear combination.

linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Compute a linear combination.

linearCombination(Dfp[], Dfp[]) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Compute a linear combination.

linearCombination(Dfp, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Compute a linear combination.

linearCombination(Dfp, Dfp, Dfp, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Compute a linear combination.

linearCombination(Dfp, Dfp, Dfp, Dfp, Dfp, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Compute a linear combination.

linearCombination(T[], T[]) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Compute a linear combination.

linearCombination(T, T, T, T) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Compute a linear combination.

linearCombination(T, T, T, T, T, T) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Compute a linear combination.

linearCombination(T, T, T, T, T, T, T, T) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Compute a linear combination.

LinearConstraint - Class in org.apache.commons.math4.legacy.optim.linear

A linear constraint for a linear optimization problem.

LinearConstraint(double[], double, Relationship, double[], double) - Constructor for class org.apache.commons.math4.legacy.optim.linear.LinearConstraint

Build a constraint involving two linear equations.

LinearConstraint(double[], Relationship, double) - Constructor for class org.apache.commons.math4.legacy.optim.linear.LinearConstraint

Build a constraint involving a single linear equation.

LinearConstraint(RealVector, double, Relationship, RealVector, double) - Constructor for class org.apache.commons.math4.legacy.optim.linear.LinearConstraint

Build a constraint involving two linear equations.

LinearConstraint(RealVector, Relationship, double) - Constructor for class org.apache.commons.math4.legacy.optim.linear.LinearConstraint

Build a constraint involving a single linear equation.

LinearConstraintSet - Class in org.apache.commons.math4.legacy.optim.linear

Class that represents a set of linear constraints.

LinearConstraintSet(Collection<LinearConstraint>) - Constructor for class org.apache.commons.math4.legacy.optim.linear.LinearConstraintSet

Creates a set containing the given constraints.

LinearConstraintSet(LinearConstraint...) - Constructor for class org.apache.commons.math4.legacy.optim.linear.LinearConstraintSet

Creates a set containing the given constraints.

LinearInterpolator - Class in org.apache.commons.math4.legacy.analysis.interpolation

Implements a linear function for interpolation of real univariate functions.

LinearInterpolator() - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.LinearInterpolator

LinearObjectiveFunction - Class in org.apache.commons.math4.legacy.optim.linear

An objective function for a linear optimization problem.

LinearObjectiveFunction(double[], double) - Constructor for class org.apache.commons.math4.legacy.optim.linear.LinearObjectiveFunction

LinearObjectiveFunction(RealVector, double) - Constructor for class org.apache.commons.math4.legacy.optim.linear.LinearObjectiveFunction

LinearOptimizer - Class in org.apache.commons.math4.legacy.optim.linear

Base class for implementing linear optimizers.

LinearOptimizer() - Constructor for class org.apache.commons.math4.legacy.optim.linear.LinearOptimizer

Simple constructor with default settings.

lineSearch(double[], double[]) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.MultivariateOptimizer

Finds the number alpha that optimizes f(startPoint + alpha * direction).

LineSearch - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar

Deprecated.

as of 4.0-beta2. Class is now encapsulated in MultivariateOptimizer. Subclasses should call MultivariateOptimizer.createLineSearch() and MultivariateOptimizer.lineSearch(double[],double[]) instead.

LineSearch(MultivariateOptimizer, double, double, double) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.LineSearch

Deprecated.

The BrentOptimizer default stopping criterion uses the tolerances to check the domain (point) values, not the function values.

LineSearchTolerance - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar

Tolerances for line search.

LineSearchTolerance(double, double, double) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.LineSearchTolerance

LIST_OF_CHROMOSOMES_BIGGER_THAN_POPULATION_SIZE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ListPopulation - Class in org.apache.commons.math4.legacy.genetics

Population of chromosomes represented by a List.

ListPopulation(int) - Constructor for class org.apache.commons.math4.legacy.genetics.ListPopulation

Creates a new ListPopulation instance and initializes its inner chromosome list.

ListPopulation(List<Chromosome>, int) - Constructor for class org.apache.commons.math4.legacy.genetics.ListPopulation

Creates a new ListPopulation instance.

Localizable - Interface in org.apache.commons.math4.legacy.exception.util

Interface for localizable strings.

LocalizedFormats - Enum in org.apache.commons.math4.legacy.exception.util

Enumeration for localized messages formats used in exceptions messages.

Location(int, int) - Constructor for class org.apache.commons.math4.neuralnet.twod.util.LocationFinder.Location

LocationFinder - Class in org.apache.commons.math4.neuralnet.twod.util

Helper class to find the grid coordinates of a neuron.

LocationFinder(NeuronSquareMesh2D) - Constructor for class org.apache.commons.math4.neuralnet.twod.util.LocationFinder

Builds a finder to retrieve the locations of neurons that belong to the given map.

LocationFinder.Location - Class in org.apache.commons.math4.neuralnet.twod.util

Container holding a (row, column) pair.

LOESS_EXPECTS_AT_LEAST_ONE_POINT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

LoessInterpolator - Class in org.apache.commons.math4.legacy.analysis.interpolation

Implements the Local Regression Algorithm (also Loess, Lowess) for interpolation of real univariate functions.

LoessInterpolator() - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.LoessInterpolator

Constructs a new LoessInterpolator with a bandwidth of LoessInterpolator.DEFAULT_BANDWIDTH, LoessInterpolator.DEFAULT_ROBUSTNESS_ITERS robustness iterations and an accuracy of {#link #DEFAULT_ACCURACY}.

LoessInterpolator(double, int) - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.LoessInterpolator

Construct a new LoessInterpolator with given bandwidth and number of robustness iterations.

LoessInterpolator(double, int, double) - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.LoessInterpolator

Construct a new LoessInterpolator with given bandwidth, number of robustness iterations and accuracy.

log() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Natural logarithm.

log() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Natural logarithm.

log() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Natural logarithm.

log() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Natural logarithm.

log(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Natural logarithm.

log(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

log(double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute natural logarithm of a derivative structure.

log(double, double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Computes the logarithm in a given base.

log(Dfp) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

Returns the natural logarithm of a.

Log - Class in org.apache.commons.math4.legacy.analysis.function

Natural logarithm function.

Log() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Log

log10() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Base 10 logarithm.

log10() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Base 10 logarithm.

log10() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Base 10 logarithm.

log10() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Base 10 logarithm.

log10(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the base 10 logarithm.

log10(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

log10(double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Computes base 10 logarithm of a derivative structure.

Log10 - Class in org.apache.commons.math4.legacy.analysis.function

Base 10 logarithm function.

Log10() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Log10

log10K() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Get the exponent of the greatest power of 10000 that is less than or equal to the absolute value of this.

log1p() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Shifted natural logarithm.

log1p() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Shifted natural logarithm.

log1p() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Shifted natural logarithm.

log1p() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Shifted natural logarithm.

log1p(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Computes log(1 + x).

log1p(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

log1p(double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Computes shifted logarithm of a derivative structure.

Log1p - Class in org.apache.commons.math4.legacy.analysis.function

log(1 + p) function.

Log1p() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Log1p

logDensity(double) - Method in class org.apache.commons.math4.legacy.distribution.AbstractRealDistribution

logInternal(Dfp[]) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

Computes the natural log of a number between 0 and 2.

Logistic - Class in org.apache.commons.math4.legacy.analysis.function

Generalised logistic function.

Logistic(double, double, double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.function.Logistic

Logistic.Parametric - Class in org.apache.commons.math4.legacy.analysis.function

Parametric function where the input array contains the parameters of the logistic function.

Logit - Class in org.apache.commons.math4.legacy.analysis.function

Logit function.

Logit() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Logit

Usual logit function, where the lower bound is 0 and the higher bound is 1.

Logit(double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.function.Logit

Logit function.

Logit.Parametric - Class in org.apache.commons.math4.legacy.analysis.function

Parametric function where the input array contains the parameters of the logit function.

logProbability(int) - Method in class org.apache.commons.math4.legacy.distribution.AbstractIntegerDistribution

LOWER_BOUND_NOT_BELOW_UPPER_BOUND - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

LOWER_ENDPOINT_ABOVE_UPPER_ENDPOINT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

LU - org.apache.commons.math4.legacy.fitting.leastsquares.GaussNewtonOptimizer.Decomposition

Solve by forming the normal equations (J^TJx=J^Tr) and using the LUDecomposition.

LUDecomposition - Class in org.apache.commons.math4.legacy.linear

Calculates the LUP-decomposition of a square matrix.

LUDecomposition(RealMatrix) - Constructor for class org.apache.commons.math4.legacy.linear.LUDecomposition

Calculates the LU-decomposition of the given matrix.

LUDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math4.legacy.linear.LUDecomposition

Calculates the LU-decomposition of the given matrix.

LutherFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements the Luther sixth order Runge-Kutta integrator for Ordinary Differential Equations.

LutherFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.LutherFieldIntegrator

Simple constructor.

LutherIntegrator - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements the Luther sixth order Runge-Kutta integrator for Ordinary Differential Equations.

LutherIntegrator(double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.LutherIntegrator

Simple constructor.

M

m2 - Variable in class org.apache.commons.math4.legacy.stat.descriptive.moment.SecondMoment

second moment of values that have been added.

main(String[]) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Print out contents of arrays, and check the length.

mainSetDimension - Variable in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeFieldIntegrator

Main set dimension.

mainSetDimension - Variable in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeIntegrator

Main set dimension.

MainStateJacobianProvider - Interface in org.apache.commons.math4.legacy.ode

Interface expanding first order differential equations in order to compute exactly the main state jacobian matrix for partial derivatives equations.

ManhattanDistance - Class in org.apache.commons.math4.legacy.ml.distance

Calculates the L₁ (sum of abs) distance between two points.

ManhattanDistance() - Constructor for class org.apache.commons.math4.legacy.ml.distance.ManhattanDistance

mannWhitneyU(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.inference.MannWhitneyUTest

Computes the Mann-Whitney U statistic comparing mean for two independent samples possibly of different length.

mannWhitneyUTest(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.inference.MannWhitneyUTest

Returns the asymptotic observed significance level, or p-value, associated with a Mann-Whitney U statistic comparing mean for two independent samples.

MannWhitneyUTest - Class in org.apache.commons.math4.legacy.stat.inference

An implementation of the Mann-Whitney U test (also called Wilcoxon rank-sum test).

MannWhitneyUTest() - Constructor for class org.apache.commons.math4.legacy.stat.inference.MannWhitneyUTest

Create a test instance using where NaN's are left in place and ties get the average of applicable ranks.

MannWhitneyUTest(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math4.legacy.stat.inference.MannWhitneyUTest

Create a test instance using the given strategies for NaN's and ties.

mant - Variable in class org.apache.commons.math4.legacy.core.dfp.Dfp

Mantissa.

map(UnivariateFunction) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Acts as if implemented as:

map(UnivariateFunction) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Acts as if implemented as:

MAP_MODIFIED_WHILE_ITERATING - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

mapAdd(double) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Add a value to each entry.

mapAdd(double) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Add a value to each entry.

mapAdd(T) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Map an addition operation to each entry.

mapAdd(T) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Map an addition operation to each entry.

mapAdd(T) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Map an addition operation to each entry.

mapAddToSelf(double) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Add a value to each entry.

mapAddToSelf(double) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Add a value to each entry.

mapAddToSelf(double) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Add a value to each entry.

mapAddToSelf(T) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Map an addition operation to each entry.

mapAddToSelf(T) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Map an addition operation to each entry.

mapAddToSelf(T) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Map an addition operation to each entry.

MapDataVisualization - Interface in org.apache.commons.math4.neuralnet.twod.util

Interface for algorithms that compute some metrics of the projection of data on a 2D-map.

mapDerivative(FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math4.legacy.ode.FieldEquationsMapper

Map a state derivative to a complete flat array.

mapDivide(double) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Divide each entry by the argument.

mapDivide(T) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Map a division operation to each entry.

mapDivide(T) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Map a division operation to each entry.

mapDivide(T) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Map a division operation to each entry.

mapDivideToSelf(double) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Divide each entry by the argument.

mapDivideToSelf(double) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Divide each entry by the argument.

mapDivideToSelf(T) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Map a division operation to each entry.

mapDivideToSelf(T) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Map a division operation to each entry.

mapDivideToSelf(T) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Map a division operation to each entry.

mapInv() - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Map the 1/x function to each entry.

mapInv() - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Map the 1/x function to each entry.

mapInv() - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Map the 1/x function to each entry.

mapInvToSelf() - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Map the 1/x function to each entry.

mapInvToSelf() - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Map the 1/x function to each entry.

mapInvToSelf() - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Map the 1/x function to each entry.

mapMultiply(double) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Multiply each entry by the argument.

mapMultiply(T) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Map a multiplication operation to each entry.

mapMultiply(T) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Map a multiplication operation to each entry.

mapMultiply(T) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Map a multiplication operation to each entry.

mapMultiplyToSelf(double) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Multiply each entry.

mapMultiplyToSelf(double) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Multiply each entry.

mapMultiplyToSelf(T) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Map a multiplication operation to each entry.

mapMultiplyToSelf(T) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Map a multiplication operation to each entry.

mapMultiplyToSelf(T) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Map a multiplication operation to each entry.

MapRanking - Class in org.apache.commons.math4.neuralnet

Utility for ranking the units (neurons) of a network.

MapRanking(Iterable<Neuron>, DistanceMeasure) - Constructor for class org.apache.commons.math4.neuralnet.MapRanking

mapState(FieldODEState<T>) - Method in class org.apache.commons.math4.legacy.ode.FieldEquationsMapper

Map a state to a complete flat array.

mapStateAndDerivative(T, T[], T[]) - Method in class org.apache.commons.math4.legacy.ode.FieldEquationsMapper

Map flat arrays to a state and derivative.

mapSubtract(double) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Subtract a value from each entry.

mapSubtract(T) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Map a subtraction operation to each entry.

mapSubtract(T) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Map a subtraction operation to each entry.

mapSubtract(T) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Map a subtraction operation to each entry.

mapSubtractToSelf(double) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Subtract a value from each entry.

mapSubtractToSelf(double) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Subtract a value from each entry.

mapSubtractToSelf(T) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Map a subtraction operation to each entry.

mapSubtractToSelf(T) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Map a subtraction operation to each entry.

mapSubtractToSelf(T) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Map a subtraction operation to each entry.

mapToSelf(UnivariateFunction) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Acts as if it is implemented as: Entry e = null; for(Iterator<Entry> it = iterator(); it.hasNext(); e = it.next()) { e.setValue(function.value(e.getValue())); } Entries of this vector are modified in-place by this method.

mapToSelf(UnivariateFunction) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Acts as if it is implemented as: Entry e = null; for(Iterator<Entry> it = iterator(); it.hasNext(); e = it.next()) { e.setValue(function.value(e.getValue())); } Entries of this vector are modified in-place by this method.

MapUtils - Class in org.apache.commons.math4.neuralnet

Utilities for network maps.

MapVisualization - Interface in org.apache.commons.math4.neuralnet.twod.util

Interface for algorithms that compute some property of a 2D-map.

mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math4.legacy.genetics.CycleCrossover

Helper for CycleCrossover.crossover(Chromosome, Chromosome).

mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math4.legacy.genetics.OrderedCrossover

Helper for OrderedCrossover.crossover(Chromosome, Chromosome).

MathArithmeticException - Exception in org.apache.commons.math4.legacy.exception

Base class for arithmetic exceptions.

MathArithmeticException() - Constructor for exception org.apache.commons.math4.legacy.exception.MathArithmeticException

Default constructor.

MathArithmeticException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.legacy.exception.MathArithmeticException

Constructor with a specific message.

MathArrays - Class in org.apache.commons.math4.legacy.core

Arrays utilities.

MathArrays.Function - Interface in org.apache.commons.math4.legacy.core

Real-valued function that operate on an array or a part of it.

MathArrays.OrderDirection - Enum in org.apache.commons.math4.legacy.core

Specification of ordering direction.

MathIllegalArgumentException - Exception in org.apache.commons.math4.legacy.exception

Base class for all preconditions violation exceptions.

MathIllegalArgumentException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.legacy.exception.MathIllegalArgumentException

MathIllegalNumberException - Exception in org.apache.commons.math4.legacy.exception

Base class for exceptions raised by a wrong number.

MathIllegalNumberException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math4.legacy.exception.MathIllegalNumberException

Construct an exception.

MathIllegalStateException - Exception in org.apache.commons.math4.legacy.exception

Base class for all exceptions that signal that the process throwing the exception is in a state that does not comply with the set of states that it is designed to be in.

MathIllegalStateException() - Constructor for exception org.apache.commons.math4.legacy.exception.MathIllegalStateException

Default constructor.

MathIllegalStateException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math4.legacy.exception.MathIllegalStateException

Simple constructor.

MathIllegalStateException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.legacy.exception.MathIllegalStateException

Simple constructor.

MathInternalError - Exception in org.apache.commons.math4.legacy.exception

Exception triggered when something that shouldn't happen does happen.

MathInternalError() - Constructor for exception org.apache.commons.math4.legacy.exception.MathInternalError

Simple constructor.

MathInternalError(Throwable) - Constructor for exception org.apache.commons.math4.legacy.exception.MathInternalError

Simple constructor.

MathInternalError(Localizable, Object...) - Constructor for exception org.apache.commons.math4.legacy.exception.MathInternalError

Constructor accepting a localized message.

MathParseException - Exception in org.apache.commons.math4.legacy.exception

Class to signal parse failures.

MathParseException(String, int) - Constructor for exception org.apache.commons.math4.legacy.exception.MathParseException

MathParseException(String, int, Class<?>) - Constructor for exception org.apache.commons.math4.legacy.exception.MathParseException

MathRuntimeException - Exception in org.apache.commons.math4.legacy.exception

As of release 4.0, all exceptions thrown by the Commons Math code (except NullArgumentException) inherit from this class.

MathRuntimeException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math4.legacy.exception.MathRuntimeException

MathRuntimeException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.legacy.exception.MathRuntimeException

MathUnsupportedOperationException - Exception in org.apache.commons.math4.legacy.exception

Base class for all unsupported features.

MathUnsupportedOperationException() - Constructor for exception org.apache.commons.math4.legacy.exception.MathUnsupportedOperationException

Default constructor.

MathUnsupportedOperationException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.legacy.exception.MathUnsupportedOperationException

MatrixDimensionMismatchException - Exception in org.apache.commons.math4.legacy.linear

Exception to be thrown when either the number of rows or the number of columns of a matrix do not match the expected values.

MatrixDimensionMismatchException(int, int, int, int) - Constructor for exception org.apache.commons.math4.legacy.linear.MatrixDimensionMismatchException

Construct an exception from the mismatched dimensions.

MatrixUtils - Class in org.apache.commons.math4.legacy.linear

A collection of static methods that operate on or return matrices.

max(double[]) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the maximum of the entries in the input array, or Double.NaN if the array is empty.

max(double[], int, int) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the maximum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

max(double, double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the maximum of two values.

max(double, double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

max(float, float) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the maximum of two values.

max(float, float) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

max(int, int) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the maximum of two values.

max(int, int) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

max(long, long) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the maximum of two values.

max(long, long) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

max(T, T) - Static method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Find the maximum of two field elements.

Max - Class in org.apache.commons.math4.legacy.analysis.function

Maximum function.

Max - Class in org.apache.commons.math4.legacy.stat.descriptive.rank

Returns the maximum of the available values.

Max() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Max

Max() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.rank.Max

Create a Max instance.

Max(Max) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.rank.Max

Copy constructor, creates a new Max identical to the original.

MAX_COUNT_EXCEEDED - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

MAX_EXP - Static variable in class org.apache.commons.math4.legacy.core.dfp.Dfp

The maximum exponent before overflow is signaled and results flushed to infinity.

MAX_ITERATIONS_EXCEEDED - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

MaxCountExceededException - Exception in org.apache.commons.math4.legacy.exception

Exception to be thrown when some counter maximum value is exceeded.

MaxCountExceededException(Number) - Constructor for exception org.apache.commons.math4.legacy.exception.MaxCountExceededException

Construct the exception.

MaxCountExceededException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math4.legacy.exception.MaxCountExceededException

Construct the exception with a specific context.

MaxEval - Class in org.apache.commons.math4.legacy.optim

Maximum number of evaluations of the function to be optimized.

MaxEval(int) - Constructor for class org.apache.commons.math4.legacy.optim.MaxEval

maxEvaluations(int) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresBuilder

Configure the max evaluations.

MAXIMAL - org.apache.commons.math4.legacy.stat.ranking.NaNStrategy

NaNs are considered maximal in the ordering.

MAXIMIZE - org.apache.commons.math4.legacy.optim.nonlinear.scalar.GoalType

Maximization.

MAXIMUM - org.apache.commons.math4.legacy.stat.ranking.TiesStrategy

Ties get the maximum applicable rank.

MaxIter - Class in org.apache.commons.math4.legacy.optim

Maximum number of iterations performed by an (iterative) algorithm.

MaxIter(int) - Constructor for class org.apache.commons.math4.legacy.optim.MaxIter

maxIterations(int) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresBuilder

Configure the max iterations.

mean(double[]) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the arithmetic mean of the entries in the input array, or Double.NaN if the array is empty.

mean(double[], int, int) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

Mean - Class in org.apache.commons.math4.legacy.stat.descriptive.moment

Computes the arithmetic mean of a set of values.

Mean() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.Mean

Constructs a Mean.

Mean(FirstMoment) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.Mean

Constructs a Mean with an External Moment.

Mean(Mean) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.Mean

Copy constructor, creates a new Mean identical to the original.

MEAN - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

meanDifference(double[], double[]) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the mean of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]) / sample1.length.

MeasurementModel - Interface in org.apache.commons.math4.legacy.filter

Defines the measurement model for the use with a KalmanFilter.

Median - Class in org.apache.commons.math4.legacy.stat.descriptive.rank

Returns the median of the available values.

Median() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.rank.Median

Default constructor.

Median(Median) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.rank.Median

Copy constructor, creates a new Median identical.

MedianOf3PivotingStrategy - Class in org.apache.commons.math4.legacy.stat.descriptive.rank

Classic median of 3 strategy given begin and end indices.

MedianOf3PivotingStrategy() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.rank.MedianOf3PivotingStrategy

merge(Collection<Frequency<T>>) - Method in class org.apache.commons.math4.legacy.stat.Frequency

Merge a Collection of Frequency objects into this instance.

merge(Frequency<T>) - Method in class org.apache.commons.math4.legacy.stat.Frequency

Merge another Frequency object's counts into this instance.

metropolis(double) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.SimulatedAnnealing

Factory for the Metropolis check for accepting a worse state.

MicrosphereProjectionInterpolator - Class in org.apache.commons.math4.legacy.analysis.interpolation

Interpolator that implements the algorithm described in William Dudziak's MS thesis.

MicrosphereProjectionInterpolator(int, int, double, double, double, double, boolean, double) - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.MicrosphereProjectionInterpolator

Create a microsphere interpolator.

MicrosphereProjectionInterpolator(InterpolatingMicrosphere, double, boolean, double) - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.MicrosphereProjectionInterpolator

Create a microsphere interpolator.

midpoint(double, double) - Static method in class org.apache.commons.math4.legacy.analysis.solvers.UnivariateSolverUtils

Compute the midpoint of two values.

MidpointFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations.

MidpointFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.MidpointFieldIntegrator

Simple constructor.

MidpointIntegrator - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations.

MidpointIntegrator(double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.MidpointIntegrator

Simple constructor.

MidPointIntegrator - Class in org.apache.commons.math4.legacy.analysis.integration

Implements the Midpoint Rule for integration of real univariate functions.

MidPointIntegrator() - Constructor for class org.apache.commons.math4.legacy.analysis.integration.MidPointIntegrator

Construct a midpoint integrator with default settings.

MidPointIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math4.legacy.analysis.integration.MidPointIntegrator

Build a midpoint integrator with given accuracies and iterations counts.

MidPointIntegrator(int, int) - Constructor for class org.apache.commons.math4.legacy.analysis.integration.MidPointIntegrator

Build a midpoint integrator with given iteration counts.

MillerUpdatingRegression - Class in org.apache.commons.math4.legacy.stat.regression

This class is a concrete implementation of the UpdatingMultipleLinearRegression interface.

MillerUpdatingRegression(int, boolean) - Constructor for class org.apache.commons.math4.legacy.stat.regression.MillerUpdatingRegression

Primary constructor for the MillerUpdatingRegression.

MillerUpdatingRegression(int, boolean, double) - Constructor for class org.apache.commons.math4.legacy.stat.regression.MillerUpdatingRegression

This is the augmented constructor for the MillerUpdatingRegression class.

min(double[]) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the minimum of the entries in the input array, or Double.NaN if the array is empty.

min(double[], int, int) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the minimum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

min(double, double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the minimum of two values.

min(double, double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

min(float, float) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the minimum of two values.

min(float, float) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

min(int, int) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the minimum of two values.

min(int, int) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

min(long, long) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the minimum of two values.

min(long, long) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

min(T, T) - Static method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Find the minimum of two field elements.

Min - Class in org.apache.commons.math4.legacy.analysis.function

Minimum function.

Min - Class in org.apache.commons.math4.legacy.stat.descriptive.rank

Returns the minimum of the available values.

Min() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Min

Min() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.rank.Min

Create a Min instance.

Min(Min) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.rank.Min

Copy constructor, creates a new Min identical to the original.

MIN_EXP - Static variable in class org.apache.commons.math4.legacy.core.dfp.Dfp

The minimum exponent before underflow is signaled.

MiniBatchKMeansClusterer<T extends Clusterable> - Class in org.apache.commons.math4.legacy.ml.clustering

Clustering algorithm based on KMeans.

MiniBatchKMeansClusterer(int, int, int, int, int, int, DistanceMeasure, UniformRandomProvider, KMeansPlusPlusClusterer.EmptyClusterStrategy) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.MiniBatchKMeansClusterer

Build a clusterer.

MINIMAL - org.apache.commons.math4.legacy.stat.ranking.NaNStrategy

NaNs are considered minimal in the ordering.

MINIMAL_STEPSIZE_REACHED_DURING_INTEGRATION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

MINIMIZE - org.apache.commons.math4.legacy.optim.nonlinear.scalar.GoalType

Minimization.

MINIMUM - org.apache.commons.math4.legacy.stat.ranking.TiesStrategy

Ties get the minimum applicable rank.

MINIMUM_PROBLEM_DIMENSION - Static variable in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer

Minimum dimension of the problem: 2.

Minus - Class in org.apache.commons.math4.legacy.analysis.function

Minus function.

Minus() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Minus

MISMATCHED_LOESS_ABSCISSA_ORDINATE_ARRAYS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

MismatchedEquations() - Constructor for exception org.apache.commons.math4.legacy.ode.JacobianMatrices.MismatchedEquations

Simple constructor.

MixtureMultivariateNormalDistribution - Class in org.apache.commons.math4.legacy.distribution

Multivariate normal mixture distribution.

MixtureMultivariateNormalDistribution(double[], double[][], double[][][]) - Constructor for class org.apache.commons.math4.legacy.distribution.MixtureMultivariateNormalDistribution

Creates a multivariate normal mixture distribution.

MixtureMultivariateNormalDistribution(List<Pair<Double, MultivariateNormalDistribution>>) - Constructor for class org.apache.commons.math4.legacy.distribution.MixtureMultivariateNormalDistribution

Creates a mixture model from a list of distributions and their associated weights.

MixtureMultivariateRealDistribution<T extends MultivariateRealDistribution> - Class in org.apache.commons.math4.legacy.distribution

Class for representing mixture model distributions.

MixtureMultivariateRealDistribution(List<Pair<Double, T>>) - Constructor for class org.apache.commons.math4.legacy.distribution.MixtureMultivariateRealDistribution

Creates a mixture model from a list of distributions and their associated weights.

mode(double[]) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the sample mode(s).

mode(double[], int, int) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the sample mode(s).

model(MultivariateVectorFunction, MultivariateMatrixFunction) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresBuilder

Configure the model function.

model(MultivariateVectorFunction, MultivariateMatrixFunction) - Static method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresFactory

Combine a MultivariateVectorFunction with a MultivariateMatrixFunction to produce a MultivariateJacobianFunction.

model(MultivariateJacobianFunction) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresBuilder

Configure the model function.

ModelSpecificationException - Exception in org.apache.commons.math4.legacy.stat.regression

Exception thrown when a regression model is not correctly specified.

ModelSpecificationException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.legacy.stat.regression.ModelSpecificationException

moment - Variable in class org.apache.commons.math4.legacy.stat.descriptive.moment.Kurtosis

Fourth Moment on which this statistic is based.

moment - Variable in class org.apache.commons.math4.legacy.stat.descriptive.moment.Mean

First moment on which this statistic is based.

moment - Variable in class org.apache.commons.math4.legacy.stat.descriptive.moment.Skewness

Third moment on which this statistic is based.

moment - Variable in class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

SecondMoment is used in incremental calculation of Variance.

monteCarloP(double, int, int, boolean, int, UniformRandomProvider) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

monteCarloP(double, int, int, boolean, int, UniformRandomProvider) - Method in class org.apache.commons.math4.legacy.stat.inference.KolmogorovSmirnovTest

Uses Monte Carlo simulation to approximate \(P(D_{n,m} > d)\) where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.

MOORE - org.apache.commons.math4.neuralnet.SquareNeighbourhood

Moore neighbourhood: in two dimensions, each (internal) neuron has eight neighbours.

MullerSolver - Class in org.apache.commons.math4.legacy.analysis.solvers

This class implements the Muller's Method for root finding of real univariate functions.

MullerSolver() - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.MullerSolver

Construct a solver with default accuracy (1e-6).

MullerSolver(double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.MullerSolver

Construct a solver.

MullerSolver(double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.MullerSolver

Construct a solver.

MullerSolver2 - Class in org.apache.commons.math4.legacy.analysis.solvers

This class implements the Muller's Method for root finding of real univariate functions.

MullerSolver2() - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.MullerSolver2

Construct a solver with default accuracy (1e-6).

MullerSolver2(double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.MullerSolver2

Construct a solver.

MullerSolver2(double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.MullerSolver2

Construct a solver.

MultiDimensionMismatchException - Exception in org.apache.commons.math4.legacy.exception

Exception to be thrown when two sets of dimensions differ.

MultiDimensionMismatchException(Integer[], Integer[]) - Constructor for exception org.apache.commons.math4.legacy.exception.MultiDimensionMismatchException

Construct an exception from the mismatched dimensions.

MultiDimensionMismatchException(Localizable, Integer[], Integer[]) - Constructor for exception org.apache.commons.math4.legacy.exception.MultiDimensionMismatchException

Construct an exception from the mismatched dimensions.

MultiDirectionalTransform - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv

Multi-directional search method.

MultiDirectionalTransform() - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.MultiDirectionalTransform

Transform with default values.

MultiDirectionalTransform(double, double) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.MultiDirectionalTransform

MultiKMeansPlusPlusClusterer<T extends Clusterable> - Class in org.apache.commons.math4.legacy.ml.clustering

A wrapper around a k-means++ clustering algorithm which performs multiple trials and returns the best solution.

MultiKMeansPlusPlusClusterer(KMeansPlusPlusClusterer<T>, int) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.MultiKMeansPlusPlusClusterer

Build a clusterer.

MultiKMeansPlusPlusClusterer(KMeansPlusPlusClusterer<T>, int, ClusterRanking) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.MultiKMeansPlusPlusClusterer

Build a clusterer.

MultipleLinearRegression - Interface in org.apache.commons.math4.legacy.stat.regression

The multiple linear regression can be represented in matrix-notation.

MULTIPLES - org.apache.commons.math4.legacy.ode.sampling.StepNormalizerMode

Steps are multiples of a fixed value.

multiply(double) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

'×' operator.

multiply(double) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

'×' operator.

multiply(double) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

'×' operator.

multiply(double) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

'×' operator.

multiply(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Perform multiplication of two derivative structures.

multiply(int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Compute n × this.

multiply(int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Compute n × this.

multiply(int) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Multiply this by a single digit x.

multiply(int) - Method in interface org.apache.commons.math4.legacy.core.FieldElement

Compute n × this.

multiply(int) - Method in class org.apache.commons.math4.legacy.linear.BigReal

Compute n × this.

multiply(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Compute this × a.

multiply(SparseGradient) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Compute this × a.

multiply(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math4.legacy.analysis.FunctionUtils

Multiplies functions.

multiply(PolynomialFunction) - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunction

Multiply the instance by a polynomial.

multiply(UnivariateFunction...) - Static method in class org.apache.commons.math4.legacy.analysis.FunctionUtils

Multiplies functions.

multiply(Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Multiply this by x.

multiply(FieldDenseMatrix<T>) - Method in class org.apache.commons.math4.legacy.field.linalg.FieldDenseMatrix

Multiplication.

multiply(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Postmultiplying this matrix by m.

multiply(Array2DRowRealMatrix) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Returns the result of postmultiplying this by m.

multiply(BigReal) - Method in class org.apache.commons.math4.legacy.linear.BigReal

Compute this × a.

multiply(BlockFieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Returns the result of postmultiplying this by m.

multiply(BlockRealMatrix) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Returns the result of postmultiplying this by m.

multiply(DiagonalMatrix) - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Returns the result of postmultiplying this by m.

multiply(FieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Postmultiply this matrix by m.

multiply(FieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Postmultiply this matrix by m.

multiply(FieldMatrix<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Postmultiply this matrix by m.

multiply(OpenMapRealMatrix) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealMatrix

Postmultiply this matrix by m.

multiply(RealMatrix) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Returns the result of postmultiplying this by m.

multiply(RealMatrix) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Returns the result of postmultiplying this by m.

multiply(RealMatrix) - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Returns the result of postmultiplying this by m.

multiply(RealMatrix) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealMatrix

Returns the result of postmultiplying this by m.

multiply(RealMatrix) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Returns the result of postmultiplying this by m.

multiply(T) - Method in interface org.apache.commons.math4.legacy.core.FieldElement

Compute this × a.

Multiply - Class in org.apache.commons.math4.legacy.analysis.function

Multiply the two operands.

Multiply() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Multiply

multiplyEntry(int, int, double) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Multiplies (in place) the specified entry of this matrix by the specified value.

multiplyEntry(int, int, double) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Multiplies (in place) the specified entry of this matrix by the specified value.

multiplyEntry(int, int, double) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Multiplies (in place) the specified entry of this matrix by the specified value.

multiplyEntry(int, int, double) - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Multiplies (in place) the specified entry of this matrix by the specified value.

multiplyEntry(int, int, double) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealMatrix

Multiplies (in place) the specified entry of this matrix by the specified value.

multiplyEntry(int, int, double) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Multiplies (in place) the specified entry of this matrix by the specified value.

multiplyEntry(int, int, T) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Change an entry in the specified row and column.

multiplyEntry(int, int, T) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Change an entry in the specified row and column.

multiplyEntry(int, int, T) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Change an entry in the specified row and column.

multiplyEntry(int, int, T) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Change an entry in the specified row and column.

multiplyEntry(int, int, T) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldMatrix

Change an entry in the specified row and column.

multiplyExact(int, int) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Multiply two numbers, detecting overflows.

multiplyExact(int, int) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

multiplyExact(long, long) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Multiply two numbers, detecting overflows.

multiplyExact(long, long) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

multiplyInPlace(SparseGradient) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Multiply in place.

MultiStartMultivariateOptimizer - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar

Multi-start optimizer.

MultiStartMultivariateOptimizer(MultivariateOptimizer, int, Supplier<double[]>) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.MultiStartMultivariateOptimizer

Create a multi-start optimizer from a single-start optimizer.

MultiStartUnivariateOptimizer - Class in org.apache.commons.math4.legacy.optim.univariate

Special implementation of the UnivariateOptimizer interface adding multi-start features to an existing optimizer.

MultiStartUnivariateOptimizer(UnivariateOptimizer, int, UniformRandomProvider) - Constructor for class org.apache.commons.math4.legacy.optim.univariate.MultiStartUnivariateOptimizer

Create a multi-start optimizer from a single-start optimizer.

MULTISTEP_STARTER_STOPPED_EARLY - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

MultistepFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode

This class is the base class for multistep integrators for Ordinary Differential Equations.

MultistepFieldIntegrator(Field<T>, String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.ode.MultistepFieldIntegrator

Build a multistep integrator with the given stepsize bounds.

MultistepFieldIntegrator(Field<T>, String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.ode.MultistepFieldIntegrator

Build a multistep integrator with the given stepsize bounds.

MultistepIntegrator - Class in org.apache.commons.math4.legacy.ode

This class is the base class for multistep integrators for Ordinary Differential Equations.

MultistepIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.ode.MultistepIntegrator

Build a multistep integrator with the given stepsize bounds.

MultistepIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.ode.MultistepIntegrator

Build a multistep integrator with the given stepsize bounds.

MultistepIntegrator.NordsieckTransformer - Interface in org.apache.commons.math4.legacy.ode

Deprecated.

as of 3.6 this unused interface is deprecated

MultivariateDifferentiableFunction - Interface in org.apache.commons.math4.legacy.analysis.differentiation

Extension of MultivariateFunction representing a multivariate differentiable real function.

MultivariateDifferentiableVectorFunction - Interface in org.apache.commons.math4.legacy.analysis.differentiation

Extension of MultivariateVectorFunction representing a multivariate differentiable vectorial function.

MultivariateFunction - Interface in org.apache.commons.math4.legacy.analysis

An interface representing a multivariate real function.

MultivariateFunctionMappingAdapter - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar

Adapter for mapping bounded MultivariateFunction to unbounded ones.

MultivariateFunctionMappingAdapter(MultivariateFunction, double[], double[]) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter

Simple constructor.

MultivariateFunctionPenaltyAdapter - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar

Adapter extending bounded MultivariateFunction to an unbouded domain using a penalty function.

MultivariateFunctionPenaltyAdapter(MultivariateFunction, double[], double[], double, double[]) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter

Simple constructor.

MultivariateInterpolator - Interface in org.apache.commons.math4.legacy.analysis.interpolation

Interface representing a univariate real interpolating function.

MultivariateJacobianFunction - Interface in org.apache.commons.math4.legacy.fitting.leastsquares

A interface for functions that compute a vector of values and can compute their derivatives (Jacobian).

MultivariateMatrixFunction - Interface in org.apache.commons.math4.legacy.analysis

An interface representing a multivariate matrix function.

MultivariateNormalDistribution - Class in org.apache.commons.math4.legacy.distribution

Implementation of the multivariate normal (Gaussian) distribution.

MultivariateNormalDistribution(double[], double[][]) - Constructor for class org.apache.commons.math4.legacy.distribution.MultivariateNormalDistribution

Creates a multivariate normal distribution with the given mean vector and covariance matrix.

MultivariateNormalMixtureExpectationMaximization - Class in org.apache.commons.math4.legacy.distribution.fitting

Expectation-Maximization algorithm for fitting the parameters of multivariate normal mixture model distributions.

MultivariateNormalMixtureExpectationMaximization(double[][]) - Constructor for class org.apache.commons.math4.legacy.distribution.fitting.MultivariateNormalMixtureExpectationMaximization

Creates an object to fit a multivariate normal mixture model to data.

MultivariateOptimizer - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar

Base class for a multivariate scalar function optimizer.

MultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.MultivariateOptimizer

MultivariateRealDistribution - Interface in org.apache.commons.math4.legacy.distribution

Base interface for multivariate distributions on the reals.

MultivariateRealDistribution.Sampler - Interface in org.apache.commons.math4.legacy.distribution

Sampling functionality.

MultivariateSummaryStatistics - Class in org.apache.commons.math4.legacy.stat.descriptive

Computes summary statistics for a stream of n-tuples added using the addValue method.

MultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Construct a MultivariateSummaryStatistics instance.

MultivariateVectorFunction - Interface in org.apache.commons.math4.legacy.analysis

An interface representing a multivariate vectorial function.

mutate(Chromosome) - Method in class org.apache.commons.math4.legacy.genetics.BinaryMutation

Mutate the given chromosome.

mutate(Chromosome) - Method in interface org.apache.commons.math4.legacy.genetics.MutationPolicy

Mutate the given chromosome.

mutate(Chromosome) - Method in class org.apache.commons.math4.legacy.genetics.RandomKeyMutation

Mutate the given chromosome.

MUTATION_RATE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

MutationPolicy - Interface in org.apache.commons.math4.legacy.genetics

Algorithm used to mutate a chromosome.

N

N_POINTS_GAUSS_LEGENDRE_INTEGRATOR_NOT_SUPPORTED - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NAN_ELEMENT_AT_INDEX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NAN_NOT_ALLOWED - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NAN_VALUE_CONVERSION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

nans - Variable in class org.apache.commons.math4.legacy.core.dfp.Dfp

Indicator for non-finite / non-number values.

NaNStrategy - Enum in org.apache.commons.math4.legacy.stat.ranking

Strategies for handling NaN values in rank transformations.

natural(int) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Returns an array representing the natural number n.

NaturalRanking - Class in org.apache.commons.math4.legacy.stat.ranking

Ranking based on the natural ordering on doubles.

NaturalRanking() - Constructor for class org.apache.commons.math4.legacy.stat.ranking.NaturalRanking

Create a NaturalRanking with default strategies for handling ties and NaNs.

NaturalRanking(NaNStrategy) - Constructor for class org.apache.commons.math4.legacy.stat.ranking.NaturalRanking

Create a NaturalRanking with the given NaNStrategy.

NaturalRanking(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math4.legacy.stat.ranking.NaturalRanking

Create a NaturalRanking with the given NaNStrategy and TiesStrategy.

NaturalRanking(NaNStrategy, UniformRandomProvider) - Constructor for class org.apache.commons.math4.legacy.stat.ranking.NaturalRanking

Create a NaturalRanking with the given NaNStrategy, TiesStrategy.RANDOM and the given source of random data.

NaturalRanking(TiesStrategy) - Constructor for class org.apache.commons.math4.legacy.stat.ranking.NaturalRanking

Create a NaturalRanking with the given TiesStrategy.

NaturalRanking(UniformRandomProvider) - Constructor for class org.apache.commons.math4.legacy.stat.ranking.NaturalRanking

Create a NaturalRanking with TiesStrategy.RANDOM and the given random generator as the source of random data.

negate() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Returns the additive inverse of this element.

negate() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Returns the additive inverse of this element.

negate() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunction

Negate the instance.

negate() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Returns a number that is this number with the sign bit reversed.

negate() - Method in interface org.apache.commons.math4.legacy.core.FieldElement

Returns the additive inverse of this element.

negate() - Method in class org.apache.commons.math4.legacy.field.linalg.FieldDenseMatrix

Negate.

negate() - Method in class org.apache.commons.math4.legacy.linear.BigReal

Returns the additive inverse of this element.

negateExact(int) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

negateExact(long) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

NEGATIVE_BRIGHTNESS_EXPONENT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NEGATIVE_COMPLEX_MODULE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NEGATIVE_ELEMENT_AT_2D_INDEX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NEGATIVE_ELEMENT_AT_INDEX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NEGATIVE_NUMBER_OF_SUCCESSES - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NEGATIVE_NUMBER_OF_TRIALS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

negativeOrNull() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Check if instance is less than or equal to 0.

NeighbourhoodSizeFunction - Interface in org.apache.commons.math4.neuralnet.sofm

Provides the network neighbourhood's size as a function of the number of calls already performed during the learning task.

NeighbourhoodSizeFunctionFactory - Class in org.apache.commons.math4.neuralnet.sofm

Factory for creating instances of NeighbourhoodSizeFunction.

NEITHER - org.apache.commons.math4.legacy.ode.sampling.StepNormalizerBounds

Do not include the first and last points.

NelderMeadTransform - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv

Nelder-Mead method.

NelderMeadTransform() - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.NelderMeadTransform

Transform with default values.

NelderMeadTransform(double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.NelderMeadTransform

Network - Class in org.apache.commons.math4.neuralnet

Neural network, composed of Neuron instances and the links between them.

Network(long, int) - Constructor for class org.apache.commons.math4.neuralnet.Network

NeuralNetException - Exception in org.apache.commons.math4.neuralnet.internal

Exception class with constants for frequently used messages.

NeuralNetException(String, Object...) - Constructor for exception org.apache.commons.math4.neuralnet.internal.NeuralNetException

Create an exception where the message is constructed by applying the format() method from java.text.MessageFormat.

Neuron - Class in org.apache.commons.math4.neuralnet

Describes a neuron element of a neural network.

NeuronSquareMesh2D - Class in org.apache.commons.math4.neuralnet.twod

Neural network with the topology of a two-dimensional surface.

NeuronSquareMesh2D(boolean, boolean, SquareNeighbourhood, double[][][]) - Constructor for class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D

NeuronSquareMesh2D(int, boolean, int, boolean, SquareNeighbourhood, FeatureInitializer[]) - Constructor for class org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D

Creates a two-dimensional network composed of square cells: Each neuron not located on the border of the mesh has four neurons linked to it.

NeuronSquareMesh2D.DataVisualization - Class in org.apache.commons.math4.neuralnet.twod

Miscellaneous indicators of the map quality.

NeuronSquareMesh2D.HorizontalDirection - Enum in org.apache.commons.math4.neuralnet.twod

Horizontal (along row) direction.

NeuronSquareMesh2D.VerticalDirection - Enum in org.apache.commons.math4.neuralnet.twod

Vertical (along column) direction.

NeuronString - Class in org.apache.commons.math4.neuralnet.oned

Neural network with the topology of a one-dimensional line.

NeuronString(int, boolean, FeatureInitializer[]) - Constructor for class org.apache.commons.math4.neuralnet.oned.NeuronString

Creates a one-dimensional network: Each neuron not located on the border of the mesh has two neurons linked to it.

NevilleInterpolator - Class in org.apache.commons.math4.legacy.analysis.interpolation

Implements the Neville's Algorithm for interpolation of real univariate functions.

NevilleInterpolator() - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.NevilleInterpolator

newCovarianceData(double[][]) - Method in class org.apache.commons.math4.legacy.stat.regression.GLSMultipleLinearRegression

Add the covariance data.

newDfp() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Makes a Dfp with a value of 0.

newDfp(byte) - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Create an instance from a byte value.

newDfp(byte, byte) - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Creates a Dfp with a non-finite value.

newDfp(double) - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Create an instance from a double value.

newDfp(int) - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Create an instance from an int value.

newDfp(long) - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Create an instance from a long value.

newDfp(String) - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Create a Dfp given a String representation.

newDfp(Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Copy constructor.

newFixedLengthChromosome(List<T>) - Method in class org.apache.commons.math4.legacy.genetics.AbstractListChromosome

Creates a new instance of the same class as this is, with a given arrayRepresentation.

newInstance() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Create an instance with a value of 0.

newInstance() - Method in class org.apache.commons.math4.legacy.core.dfp.DfpDec

Create an instance with a value of 0.

newInstance(byte) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Create an instance from a byte value.

newInstance(byte) - Method in class org.apache.commons.math4.legacy.core.dfp.DfpDec

Create an instance from a byte value.

newInstance(byte, byte) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Creates an instance with a non-finite value.

newInstance(byte, byte) - Method in class org.apache.commons.math4.legacy.core.dfp.DfpDec

Creates an instance with a non-finite value.

newInstance(double) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Create an instance from a double value.

newInstance(double) - Method in class org.apache.commons.math4.legacy.core.dfp.DfpDec

Create an instance from a double value.

newInstance(int) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Create an instance from an int value.

newInstance(int) - Method in class org.apache.commons.math4.legacy.core.dfp.DfpDec

Create an instance from an int value.

newInstance(long) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Create an instance from a long value.

newInstance(long) - Method in class org.apache.commons.math4.legacy.core.dfp.DfpDec

Create an instance from a long value.

newInstance(String) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Create an instance from a String representation.

newInstance(String) - Method in class org.apache.commons.math4.legacy.core.dfp.DfpDec

Create an instance from a String representation.

newInstance(Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Create an instance by copying an existing one.

newInstance(Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.DfpDec

Create an instance by copying an existing one.

newMarkers(List<Double>, double) - Static method in class org.apache.commons.math4.legacy.stat.descriptive.rank.PSquarePercentile

A creation method to build Markers.

newSampleData(double[], double[][]) - Method in class org.apache.commons.math4.legacy.stat.regression.OLSMultipleLinearRegression

Loads model x and y sample data, overriding any previous sample.

newSampleData(double[], double[][], double[][]) - Method in class org.apache.commons.math4.legacy.stat.regression.GLSMultipleLinearRegression

Replace sample data, overriding any previous sample.

newSampleData(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

Loads model x and y sample data from a flat input array, overriding any previous sample.

newSampleData(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.regression.OLSMultipleLinearRegression

Loads model x and y sample data from a flat input array, overriding any previous sample.

NewtonRaphsonSolver - Class in org.apache.commons.math4.legacy.analysis.solvers

Implements Newton's Method for finding zeros of real univariate differentiable functions.

NewtonRaphsonSolver() - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.NewtonRaphsonSolver

Construct a solver.

NewtonRaphsonSolver(double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.NewtonRaphsonSolver

Construct a solver.

newXSampleData(double[][]) - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

Loads new x sample data, overriding any previous data.

newXSampleData(double[][]) - Method in class org.apache.commons.math4.legacy.stat.regression.OLSMultipleLinearRegression

Loads new x sample data, overriding any previous data.

newYSampleData(double[]) - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

Loads new y sample data, overriding any previous data.

next() - Method in class org.apache.commons.math4.legacy.core.IntegerSequence.Incrementor

next() - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector.OpenMapSparseIterator

next() - Method in class org.apache.commons.math4.legacy.linear.RealVector.SparseEntryIterator

nextAfter(double, double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Get the next machine representable number after a number, moving in the direction of another number.

nextAfter(double, double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

nextAfter(float, double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Get the next machine representable number after a number, moving in the direction of another number.

nextAfter(float, double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

nextAfter(Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Returns the next number greater than this one in the direction of x.

nextAfter(Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.DfpDec

Returns the next number greater than this one in the direction of x.

nextDown(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute next number towards negative infinity.

nextDown(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

nextDown(float) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute next number towards negative infinity.

nextDown(float) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

nextGeneration() - Method in class org.apache.commons.math4.legacy.genetics.ElitisticListPopulation

Start the population for the next generation.

nextGeneration() - Method in interface org.apache.commons.math4.legacy.genetics.Population

Start the population for the next generation.

nextGeneration(Population) - Method in class org.apache.commons.math4.legacy.genetics.GeneticAlgorithm

Evolve the given population into the next generation.

nextUp(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute next number towards positive infinity.

nextUp(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

nextUp(float) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute next number towards positive infinity.

nextUp(float) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

NO_BIN_SELECTED - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NO_CONVERGENCE_WITH_ANY_START_POINT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NO_DATA - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NO_DATA - Static variable in exception org.apache.commons.math4.neuralnet.internal.NeuralNetException

Error message for "out of range" condition.

NO_DEGREES_OF_FREEDOM - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NO_DENSITY_FOR_THIS_DISTRIBUTION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NO_FEASIBLE_SOLUTION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NO_OPTIMUM_COMPUTED_YET - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NO_REGRESSORS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NO_RESULT_AVAILABLE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NO_SUCH_MATRIX_ENTRY - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NoBracketingException - Exception in org.apache.commons.math4.legacy.exception

Exception to be thrown when function values have the same sign at both ends of an interval.

NoBracketingException(double, double, double, double) - Constructor for exception org.apache.commons.math4.legacy.exception.NoBracketingException

Construct the exception.

NoBracketingException(Localizable, double, double, double, double, Object...) - Constructor for exception org.apache.commons.math4.legacy.exception.NoBracketingException

Construct the exception with a specific context.

NoDataException - Exception in org.apache.commons.math4.legacy.exception

Exception to be thrown when the required data is missing.

NoDataException() - Constructor for exception org.apache.commons.math4.legacy.exception.NoDataException

Construct the exception.

NoDataException(Localizable) - Constructor for exception org.apache.commons.math4.legacy.exception.NoDataException

Construct the exception with a specific context.

NoFeasibleSolutionException - Exception in org.apache.commons.math4.legacy.optim.linear

This class represents exceptions thrown by optimizers when no solution fulfills the constraints.

NoFeasibleSolutionException() - Constructor for exception org.apache.commons.math4.legacy.optim.linear.NoFeasibleSolutionException

Simple constructor using a default message.

NON_CONVERGENT_CONTINUED_FRACTION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NON_INVERTIBLE_TRANSFORM - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NON_POSITIVE_DEFINITE_MATRIX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NON_POSITIVE_DEFINITE_OPERATOR - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NON_POSITIVE_MICROSPHERE_ELEMENTS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NON_POSITIVE_POLYNOMIAL_DEGREE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NON_REAL_FINITE_ABSCISSA - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NON_REAL_FINITE_ORDINATE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NON_REAL_FINITE_WEIGHT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NON_SELF_ADJOINT_OPERATOR - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NON_SQUARE_MATRIX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NON_SQUARE_OPERATOR - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NON_SYMMETRIC_MATRIX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NonLinearConjugateGradientOptimizer - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient

Non-linear conjugate gradient optimizer.

NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer

Constructor with default preconditioner.

NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, Preconditioner) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer

NonLinearConjugateGradientOptimizer.Formula - Enum in org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient

Available choices of update formulas for the updating the parameter that is used to compute the successive conjugate search directions.

NonLinearConjugateGradientOptimizer.IdentityPreconditioner - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient

Default identity preconditioner.

NonMonotonicSequenceException - Exception in org.apache.commons.math4.legacy.exception

Exception to be thrown when the a sequence of values is not monotonically increasing or decreasing.

NonMonotonicSequenceException(Number, Number, int) - Constructor for exception org.apache.commons.math4.legacy.exception.NonMonotonicSequenceException

Construct the exception.

NonMonotonicSequenceException(Number, Number, int, boolean, boolean) - Constructor for exception org.apache.commons.math4.legacy.exception.NonMonotonicSequenceException

Construct the exception.

NonNegativeConstraint - Class in org.apache.commons.math4.legacy.optim.linear

A constraint for a linear optimization problem indicating whether all variables must be restricted to non-negative values.

NonNegativeConstraint(boolean) - Constructor for class org.apache.commons.math4.legacy.optim.linear.NonNegativeConstraint

NonPositiveDefiniteMatrixException - Exception in org.apache.commons.math4.legacy.linear

Exception to be thrown when a positive definite matrix is expected.

NonPositiveDefiniteMatrixException(double, int, double) - Constructor for exception org.apache.commons.math4.legacy.linear.NonPositiveDefiniteMatrixException

Construct an exception.

NonPositiveDefiniteOperatorException - Exception in org.apache.commons.math4.legacy.linear

Exception to be thrown when a symmetric, definite positive RealLinearOperator is expected.

NonPositiveDefiniteOperatorException() - Constructor for exception org.apache.commons.math4.legacy.linear.NonPositiveDefiniteOperatorException

Creates a new instance of this class.

NonSelfAdjointOperatorException - Exception in org.apache.commons.math4.legacy.linear

Exception to be thrown when a self-adjoint RealLinearOperator is expected.

NonSelfAdjointOperatorException() - Constructor for exception org.apache.commons.math4.legacy.linear.NonSelfAdjointOperatorException

Creates a new instance of this class.

NonSquareMatrixException - Exception in org.apache.commons.math4.legacy.linear

Exception to be thrown when a square matrix is expected.

NonSquareMatrixException(int, int) - Constructor for exception org.apache.commons.math4.legacy.linear.NonSquareMatrixException

Construct an exception from the mismatched dimensions.

NonSquareOperatorException - Exception in org.apache.commons.math4.legacy.linear

Exception to be thrown when a square linear operator is expected.

NonSquareOperatorException(int, int) - Constructor for exception org.apache.commons.math4.legacy.linear.NonSquareOperatorException

Construct an exception from the mismatched dimensions.

NonSymmetricMatrixException - Exception in org.apache.commons.math4.legacy.linear

Exception to be thrown when a symmetric matrix is expected.

NonSymmetricMatrixException(int, int, double) - Constructor for exception org.apache.commons.math4.legacy.linear.NonSymmetricMatrixException

Construct an exception.

nordsieck - Variable in class org.apache.commons.math4.legacy.ode.MultistepFieldIntegrator

Nordsieck matrix of the higher scaled derivatives.

nordsieck - Variable in class org.apache.commons.math4.legacy.ode.MultistepIntegrator

Nordsieck matrix of the higher scaled derivatives.

NordsieckStepInterpolator - Class in org.apache.commons.math4.legacy.ode.sampling

This class implements an interpolator for integrators using Nordsieck representation.

NordsieckStepInterpolator() - Constructor for class org.apache.commons.math4.legacy.ode.sampling.NordsieckStepInterpolator

Simple constructor.

NordsieckStepInterpolator(NordsieckStepInterpolator) - Constructor for class org.apache.commons.math4.legacy.ode.sampling.NordsieckStepInterpolator

Copy constructor.

NORM - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NormalApproximationInterval - Class in org.apache.commons.math4.legacy.stat.interval

Implements the normal approximation method for creating a binomial proportion confidence interval.

NormalApproximationInterval() - Constructor for class org.apache.commons.math4.legacy.stat.interval.NormalApproximationInterval

normalize(double[]) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Normalize (standardize) the sample, so it is has a mean of 0 and a standard deviation of 1.

NORMALIZE_INFINITE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NORMALIZE_NAN - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

normalizeArray(double[], double) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Normalizes an array to make it sum to a specified value.

NOT_ADDITION_COMPATIBLE_MATRICES - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_CONVEX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_CONVEX_HYPERPLANES - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_DECREASING_NUMBER_OF_POINTS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_DECREASING_SEQUENCE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_ENOUGH_DATA_FOR_NUMBER_OF_PREDICTORS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_ENOUGH_DATA_REGRESSION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_ENOUGH_POINTS_IN_SPLINE_PARTITION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_FINITE_NUMBER - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_INCREASING_NUMBER_OF_POINTS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_INCREASING_SEQUENCE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_MULTIPLICATION_COMPATIBLE_MATRICES - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POSITIVE_DEFINITE_MATRIX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POSITIVE_DEGREES_OF_FREEDOM - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POSITIVE_ELEMENT_AT_INDEX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POSITIVE_EXPONENT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POSITIVE_LENGTH - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POSITIVE_MEAN - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POSITIVE_NUMBER_OF_SAMPLES - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POSITIVE_PERMUTATION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POSITIVE_POISSON_MEAN - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POSITIVE_POPULATION_SIZE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POSITIVE_ROW_DIMENSION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POSITIVE_SAMPLE_SIZE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POSITIVE_SCALE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POSITIVE_SHAPE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POSITIVE_STANDARD_DEVIATION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POSITIVE_UPPER_BOUND - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POSITIVE_WINDOW_SIZE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POWER_OF_TWO - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POWER_OF_TWO_CONSIDER_PADDING - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_POWER_OF_TWO_PLUS_ONE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_STRICTLY_DECREASING_NUMBER_OF_POINTS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_STRICTLY_DECREASING_SEQUENCE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_STRICTLY_INCREASING_KNOT_VALUES - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_STRICTLY_INCREASING_NUMBER_OF_POINTS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_STRICTLY_INCREASING_SEQUENCE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_STRICTLY_POSITIVE - Static variable in exception org.apache.commons.math4.neuralnet.internal.NeuralNetException

Error message for "not strictly positive" condition.

NOT_SUBTRACTION_COMPATIBLE_MATRICES - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_SUPPORTED_IN_DIMENSION_N - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_SUPPORTED_NAN_STRATEGY - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NOT_SYMMETRIC_MATRIX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NotANumberException - Exception in org.apache.commons.math4.legacy.exception

Exception to be thrown when a number is not a number.

NotANumberException() - Constructor for exception org.apache.commons.math4.legacy.exception.NotANumberException

Construct the exception.

NotFiniteNumberException - Exception in org.apache.commons.math4.legacy.exception

Exception to be thrown when a number is not finite.

NotFiniteNumberException(Number, Object...) - Constructor for exception org.apache.commons.math4.legacy.exception.NotFiniteNumberException

Construct the exception.

NotFiniteNumberException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math4.legacy.exception.NotFiniteNumberException

Construct the exception with a specific context.

NotPositiveException - Exception in org.apache.commons.math4.legacy.exception

Exception to be thrown when the argument is negative.

NotPositiveException(Number) - Constructor for exception org.apache.commons.math4.legacy.exception.NotPositiveException

Construct the exception.

NotPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math4.legacy.exception.NotPositiveException

Construct the exception with a specific context.

NotStrictlyPositiveException - Exception in org.apache.commons.math4.legacy.exception

Exception to be thrown when the argument is not greater than 0.

NotStrictlyPositiveException(Number) - Constructor for exception org.apache.commons.math4.legacy.exception.NotStrictlyPositiveException

Construct the exception.

NotStrictlyPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math4.legacy.exception.NotStrictlyPositiveException

Construct the exception with a specific context.

NPointCrossover<T> - Class in org.apache.commons.math4.legacy.genetics

N-point crossover policy.

NPointCrossover(int) - Constructor for class org.apache.commons.math4.legacy.genetics.NPointCrossover

Creates a new NPointCrossover policy using the given number of points.

NULL_NOT_ALLOWED - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NullArgumentException - Exception in org.apache.commons.math4.legacy.exception

All conditions checks that fail due to a null argument must throw this exception.

NullArgumentException() - Constructor for exception org.apache.commons.math4.legacy.exception.NullArgumentException

Default constructor.

NullArgumentException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.legacy.exception.NullArgumentException

NUMBER_OF_ELEMENTS_SHOULD_BE_POSITIVE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NUMBER_OF_INTERPOLATION_POINTS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NUMBER_OF_POINTS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NUMBER_OF_SAMPLES - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NUMBER_OF_SUCCESS_LARGER_THAN_POPULATION_SIZE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NUMBER_OF_SUCCESSES - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NUMBER_OF_TRIALS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NUMBER_TOO_LARGE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NUMBER_TOO_LARGE_BOUND_EXCLUDED - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NUMBER_TOO_SMALL - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NUMBER_TOO_SMALL_BOUND_EXCLUDED - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NumberIsTooLargeException - Exception in org.apache.commons.math4.legacy.exception

Exception to be thrown when a number is too large.

NumberIsTooLargeException(Number, Number, boolean) - Constructor for exception org.apache.commons.math4.legacy.exception.NumberIsTooLargeException

Construct the exception.

NumberIsTooLargeException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math4.legacy.exception.NumberIsTooLargeException

Construct the exception with a specific context.

NumberIsTooSmallException - Exception in org.apache.commons.math4.legacy.exception

Exception to be thrown when a number is too small.

NumberIsTooSmallException(Number, Number, boolean) - Constructor for exception org.apache.commons.math4.legacy.exception.NumberIsTooSmallException

Construct the exception.

NumberIsTooSmallException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math4.legacy.exception.NumberIsTooSmallException

Construct the exception with a specific context.

NUMERATOR - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NUMERATOR_FORMAT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

NUMERATOR_OVERFLOW_AFTER_MULTIPLY - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

numVars() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Find the number of variables.

O

OBJECT_TRANSFORMATION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ObjectiveFunction - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar

Scalar function to be optimized.

ObjectiveFunction(MultivariateFunction) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.ObjectiveFunction

ObjectiveFunctionGradient - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar

Gradient of the scalar function to be optimized.

ObjectiveFunctionGradient(MultivariateVectorFunction) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.ObjectiveFunctionGradient

OBSERVED_COUNTS_ALL_ZERO - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

OBSERVED_COUNTS_BOTTH_ZERO_FOR_ENTRY - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

OCTAVE_FORMAT - Static variable in class org.apache.commons.math4.legacy.linear.MatrixUtils

A format for RealMatrix objects compatible with octave.

ODEIntegrator - Interface in org.apache.commons.math4.legacy.ode

This interface defines the common parts shared by integrators for first and second order differential equations.

of(double[][]) - Static method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.Simplex

Builds from a given set of coordinates.

of(FieldDenseMatrix<T>) - Static method in class org.apache.commons.math4.legacy.field.linalg.FieldLUDecomposition

Factory method.

OLSMultipleLinearRegression - Class in org.apache.commons.math4.legacy.stat.regression

Implements ordinary least squares (OLS) to estimate the parameters of a multiple linear regression model.

OLSMultipleLinearRegression() - Constructor for class org.apache.commons.math4.legacy.stat.regression.OLSMultipleLinearRegression

Create an empty OLSMultipleLinearRegression instance.

OLSMultipleLinearRegression(double) - Constructor for class org.apache.commons.math4.legacy.stat.regression.OLSMultipleLinearRegression

Create an empty OLSMultipleLinearRegression instance, using the given singularity threshold for the QR decomposition.

ONE - Static variable in class org.apache.commons.math4.legacy.linear.BigReal

A big real representing 1.

OnePointCrossover<T> - Class in org.apache.commons.math4.legacy.genetics

One point crossover policy.

OnePointCrossover() - Constructor for class org.apache.commons.math4.legacy.genetics.OnePointCrossover

OneWayAnova - Class in org.apache.commons.math4.legacy.stat.inference

Implements one-way ANOVA (analysis of variance) statistics.

OneWayAnova() - Constructor for class org.apache.commons.math4.legacy.stat.inference.OneWayAnova

Default constructor.

oneWayAnovaFValue(Collection<double[]>) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

oneWayAnovaPValue(Collection<double[]>) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

oneWayAnovaTest(Collection<double[]>, double) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

OpenMapEntry(OpenIntToDoubleHashMap.Iterator) - Constructor for class org.apache.commons.math4.legacy.linear.OpenMapRealVector.OpenMapEntry

Build an entry from an iterator point to an element.

OpenMapRealMatrix - Class in org.apache.commons.math4.legacy.linear

Sparse matrix implementation based on an open addressed map.

OpenMapRealMatrix(int, int) - Constructor for class org.apache.commons.math4.legacy.linear.OpenMapRealMatrix

Build a sparse matrix with the supplied row and column dimensions.

OpenMapRealMatrix(OpenMapRealMatrix) - Constructor for class org.apache.commons.math4.legacy.linear.OpenMapRealMatrix

Build a matrix by copying another one.

OpenMapRealVector - Class in org.apache.commons.math4.legacy.linear

This class implements the RealVector interface with a OpenIntToDoubleHashMap backing store.

OpenMapRealVector() - Constructor for class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Build a 0-length vector.

OpenMapRealVector(double[]) - Constructor for class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Create from an array.

OpenMapRealVector(double[], double) - Constructor for class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Create from an array, specifying zero tolerance.

OpenMapRealVector(int) - Constructor for class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Construct a vector of zeroes.

OpenMapRealVector(int, double) - Constructor for class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Construct a vector of zeroes, specifying zero tolerance.

OpenMapRealVector(int, int) - Constructor for class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Build a vector with known the sparseness (for advanced use only).

OpenMapRealVector(int, int, double) - Constructor for class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Build a vector with known the sparseness and zero tolerance setting (for advanced use only).

OpenMapRealVector(Double[]) - Constructor for class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Create from an array.

OpenMapRealVector(Double[], double) - Constructor for class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Create from an array.

OpenMapRealVector(OpenMapRealVector) - Constructor for class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Copy constructor.

OpenMapRealVector(OpenMapRealVector, int) - Constructor for class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Build a resized vector, for use with append.

OpenMapRealVector(RealVector) - Constructor for class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Generic copy constructor.

OpenMapRealVector.OpenMapEntry - Class in org.apache.commons.math4.legacy.linear

Implementation of Entry optimized for OpenMap.

OpenMapRealVector.OpenMapSparseIterator - Class in org.apache.commons.math4.legacy.linear

Iterator class to do iteration over just the non-zero elements.

OpenMapSparseIterator() - Constructor for class org.apache.commons.math4.legacy.linear.OpenMapRealVector.OpenMapSparseIterator

Simple constructor.

operate(double[]) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Returns the result of multiplying this by the vector v.

operate(double[]) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Returns the result of multiplying this by the vector v.

operate(double[]) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Returns the result of multiplying this by the vector v.

operate(double[]) - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Returns the result of multiplying this by the vector v.

operate(double[]) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Returns the result of multiplying this by the vector v.

operate(FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Returns the result of multiplying this by the vector v.

operate(FieldVector<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Returns the result of multiplying this by the vector v.

operate(RealVector) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Returns the result of multiplying this by the vector x.

operate(RealVector) - Method in class org.apache.commons.math4.legacy.linear.JacobiPreconditioner

Returns the result of multiplying this by the vector x.

operate(RealVector) - Method in class org.apache.commons.math4.legacy.linear.RealLinearOperator

Returns the result of multiplying this by the vector x.

operate(RealVector) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Returns the result of multiplying this by the vector v.

operate(T[]) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Returns the result of multiplying this by the vector v.

operate(T[]) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Returns the result of multiplying this by the vector v.

operate(T[]) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Returns the result of multiplying this by the vector v.

operate(T[]) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Returns the result of multiplying this by the vector v.

operateTranspose(RealVector) - Method in class org.apache.commons.math4.legacy.linear.RealLinearOperator

Returns the result of multiplying the transpose of this operator by the vector x (optional operation).

OPERATOR - Static variable in class org.apache.commons.math4.legacy.linear.ConjugateGradient

Key for the exception context.

oppositeRelationship() - Method in enum org.apache.commons.math4.legacy.optim.linear.Relationship

Gets the relationship obtained when multiplying all coefficients by -1.

OptimizationData - Interface in org.apache.commons.math4.legacy.optim

Marker interface.

OptimizationProblem<PAIR> - Interface in org.apache.commons.math4.legacy.optim

Common settings for all optimization problems.

optimize() - Method in class org.apache.commons.math4.legacy.optim.BaseOptimizer

Performs the optimization.

optimize(LeastSquaresProblem) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.GaussNewtonOptimizer

Solve the non-linear least squares problem.

optimize(LeastSquaresProblem) - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresOptimizer

Solve the non-linear least squares problem.

optimize(LeastSquaresProblem) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LevenbergMarquardtOptimizer

Solve the non-linear least squares problem.

optimize(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.BaseMultiStartMultivariateOptimizer

Stores data and performs the optimization.

optimize(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.BaseMultivariateOptimizer

Stores data and performs the optimization.

optimize(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.BaseOptimizer

Stores data and performs the optimization.

optimize(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.linear.LinearOptimizer

Stores data and performs the optimization.

optimize(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.linear.SimplexSolver

Stores data and performs the optimization.

optimize(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer

Stores data and performs the optimization.

optimize(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.GradientMultivariateOptimizer

Stores data and performs the optimization.

optimize(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.MultivariateOptimizer

Stores data and performs the optimization.

optimize(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.CMAESOptimizer

Stores data and performs the optimization.

optimize(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.univariate.MultiStartUnivariateOptimizer

Stores data and performs the optimization.

optimize(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.univariate.UnivariateOptimizer

Stores data and performs the optimization.

OrderedCrossover<T> - Class in org.apache.commons.math4.legacy.genetics

Order 1 Crossover [OX1] builds offspring from ordered chromosomes by copying a consecutive slice from one parent, and filling up the remaining genes from the other parent as they appear.

OrderedCrossover() - Constructor for class org.apache.commons.math4.legacy.genetics.OrderedCrossover

org.apache.commons.math4.core.jdkmath - package org.apache.commons.math4.core.jdkmath

Alternative to Math and StrictMath.

org.apache.commons.math4.legacy.analysis - package org.apache.commons.math4.legacy.analysis

Parent package for common numerical analysis procedures, including root finding, function interpolation and integration.

org.apache.commons.math4.legacy.analysis.differentiation - package org.apache.commons.math4.legacy.analysis.differentiation

This package holds the main interfaces and basic building block classes dealing with differentiation.

org.apache.commons.math4.legacy.analysis.function - package org.apache.commons.math4.legacy.analysis.function

The function package contains function objects that wrap the methods contained in Math, as well as common mathematical functions such as the gaussian and sinc functions.

org.apache.commons.math4.legacy.analysis.integration - package org.apache.commons.math4.legacy.analysis.integration

Numerical integration (quadrature) algorithms for univariate real functions.

org.apache.commons.math4.legacy.analysis.integration.gauss - package org.apache.commons.math4.legacy.analysis.integration.gauss

Gauss family of quadrature schemes.

org.apache.commons.math4.legacy.analysis.interpolation - package org.apache.commons.math4.legacy.analysis.interpolation

Univariate real functions interpolation algorithms.

org.apache.commons.math4.legacy.analysis.polynomials - package org.apache.commons.math4.legacy.analysis.polynomials

Univariate real polynomials implementations, seen as differentiable univariate real functions.

org.apache.commons.math4.legacy.analysis.solvers - package org.apache.commons.math4.legacy.analysis.solvers

Root finding algorithms, for univariate real functions.

org.apache.commons.math4.legacy.core - package org.apache.commons.math4.legacy.core

Core math utilities.

org.apache.commons.math4.legacy.core.dfp - package org.apache.commons.math4.legacy.core.dfp

Decimal floating point library for Java

org.apache.commons.math4.legacy.distribution - package org.apache.commons.math4.legacy.distribution

Implementations of probability distributions.

org.apache.commons.math4.legacy.distribution.fitting - package org.apache.commons.math4.legacy.distribution.fitting

Fitting of parameters against distributions.

org.apache.commons.math4.legacy.exception - package org.apache.commons.math4.legacy.exception

Specialized exceptions for algorithms errors.

org.apache.commons.math4.legacy.exception.util - package org.apache.commons.math4.legacy.exception.util

Classes supporting exception localization.

org.apache.commons.math4.legacy.field - package org.apache.commons.math4.legacy.field

Utilities based on the Field functionality defined in Commons Numbers.

org.apache.commons.math4.legacy.field.linalg - package org.apache.commons.math4.legacy.field.linalg

Linear algebra defined in term of matrices whose entries are elements of a field.

org.apache.commons.math4.legacy.filter - package org.apache.commons.math4.legacy.filter

Implementations of common discrete-time linear filters.

org.apache.commons.math4.legacy.fitting - package org.apache.commons.math4.legacy.fitting

Classes to perform curve fitting.

org.apache.commons.math4.legacy.fitting.leastsquares - package org.apache.commons.math4.legacy.fitting.leastsquares

This package provides algorithms that minimize the residuals between observations and model values.

org.apache.commons.math4.legacy.genetics - package org.apache.commons.math4.legacy.genetics

This package provides Genetic Algorithms components and implementations.

org.apache.commons.math4.legacy.linear - package org.apache.commons.math4.legacy.linear

Linear algebra support.

org.apache.commons.math4.legacy.ml - package org.apache.commons.math4.legacy.ml

Base package for machine learning algorithms.

org.apache.commons.math4.legacy.ml.clustering - package org.apache.commons.math4.legacy.ml.clustering

Clustering algorithms.

org.apache.commons.math4.legacy.ml.clustering.evaluation - package org.apache.commons.math4.legacy.ml.clustering.evaluation

Cluster evaluation methods.

org.apache.commons.math4.legacy.ml.distance - package org.apache.commons.math4.legacy.ml.distance

Common distance measures.

org.apache.commons.math4.legacy.ode - package org.apache.commons.math4.legacy.ode

This package provides classes to solve Ordinary Differential Equations problems.

org.apache.commons.math4.legacy.ode.events - package org.apache.commons.math4.legacy.ode.events

This package provides classes to handle discrete events occurring during Ordinary Differential Equations integration.

org.apache.commons.math4.legacy.ode.nonstiff - package org.apache.commons.math4.legacy.ode.nonstiff

This package provides classes to solve non-stiff Ordinary Differential Equations problems.

org.apache.commons.math4.legacy.ode.sampling - package org.apache.commons.math4.legacy.ode.sampling

This package provides classes to handle sampling steps during Ordinary Differential Equations integration.

org.apache.commons.math4.legacy.optim - package org.apache.commons.math4.legacy.optim

Generally, optimizers are algorithms that will either minimize or maximize a scalar function, called the objective function.

org.apache.commons.math4.legacy.optim.linear - package org.apache.commons.math4.legacy.optim.linear

Optimization algorithms for linear constrained problems.

org.apache.commons.math4.legacy.optim.nonlinear.scalar - package org.apache.commons.math4.legacy.optim.nonlinear.scalar

Algorithms for optimizing a scalar function.

org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient - package org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient

This package provides optimization algorithms that require derivatives.

org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv - package org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv

This package provides optimization algorithms that do not require derivatives.

org.apache.commons.math4.legacy.optim.univariate - package org.apache.commons.math4.legacy.optim.univariate

One-dimensional optimization algorithms.

org.apache.commons.math4.legacy.random - package org.apache.commons.math4.legacy.random

This package contains functionality related to random numbers.

org.apache.commons.math4.legacy.special - package org.apache.commons.math4.legacy.special

Implementations of special functions.

org.apache.commons.math4.legacy.stat - package org.apache.commons.math4.legacy.stat

Data storage, manipulation and summary routines.

org.apache.commons.math4.legacy.stat.correlation - package org.apache.commons.math4.legacy.stat.correlation

Correlations/Covariance computations.

org.apache.commons.math4.legacy.stat.descriptive - package org.apache.commons.math4.legacy.stat.descriptive

Generic univariate summary statistic objects.

org.apache.commons.math4.legacy.stat.descriptive.moment - package org.apache.commons.math4.legacy.stat.descriptive.moment

Summary statistics based on moments.

org.apache.commons.math4.legacy.stat.descriptive.rank - package org.apache.commons.math4.legacy.stat.descriptive.rank

Summary statistics based on ranks.

org.apache.commons.math4.legacy.stat.descriptive.summary - package org.apache.commons.math4.legacy.stat.descriptive.summary

Other summary statistics.

org.apache.commons.math4.legacy.stat.inference - package org.apache.commons.math4.legacy.stat.inference

Classes providing hypothesis testing.

org.apache.commons.math4.legacy.stat.interval - package org.apache.commons.math4.legacy.stat.interval

Classes providing binomial proportion confidence interval construction.

org.apache.commons.math4.legacy.stat.ranking - package org.apache.commons.math4.legacy.stat.ranking

Classes providing rank transformations.

org.apache.commons.math4.legacy.stat.regression - package org.apache.commons.math4.legacy.stat.regression

Statistical routines involving multivariate data.

org.apache.commons.math4.legacy.util - package org.apache.commons.math4.legacy.util

Convenience routines and common data structures used throughout the commons-math library.

org.apache.commons.math4.neuralnet - package org.apache.commons.math4.neuralnet

Neural networks.

org.apache.commons.math4.neuralnet.internal - package org.apache.commons.math4.neuralnet.internal

Internal utility classes.

org.apache.commons.math4.neuralnet.oned - package org.apache.commons.math4.neuralnet.oned

One-dimensional neural networks.

org.apache.commons.math4.neuralnet.sofm - package org.apache.commons.math4.neuralnet.sofm

Self Organizing Feature Map.

org.apache.commons.math4.neuralnet.sofm.util - package org.apache.commons.math4.neuralnet.sofm.util

Miscellaneous utilities.

org.apache.commons.math4.neuralnet.twod - package org.apache.commons.math4.neuralnet.twod

Two-dimensional neural networks.

org.apache.commons.math4.neuralnet.twod.util - package org.apache.commons.math4.neuralnet.twod.util

Utilities to visualize two-dimensional neural networks.

org.apache.commons.math4.transform - package org.apache.commons.math4.transform

Implementations of transform methods.

ORTHO - org.apache.commons.math4.transform.FastCosineTransform.Norm

Should be passed to the constructor of FastCosineTransform to use the orthogonal normalization convention.

ORTHO - org.apache.commons.math4.transform.FastSineTransform.Norm

Should be passed to the constructor of FastSineTransform to use the orthogonal normalization convention.

OUT_OF_BOUND_SIGNIFICANCE_LEVEL - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

OUT_OF_BOUNDS_CONFIDENCE_LEVEL - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

OUT_OF_BOUNDS_QUANTILE_VALUE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

OUT_OF_ORDER_ABSCISSA_ARRAY - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

OUT_OF_PLANE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

OUT_OF_RANGE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

OUT_OF_RANGE - Static variable in exception org.apache.commons.math4.neuralnet.internal.NeuralNetException

Error message for "out of range" condition.

OUT_OF_RANGE_LEFT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

OUT_OF_RANGE_RIGHT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

OUT_OF_RANGE_ROOT_OF_UNITY_INDEX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

OUT_OF_RANGE_SIMPLE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

outerProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Compute the outer product.

outerProduct(FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Compute the outer product.

outerProduct(FieldVector<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Compute the outer product.

outerProduct(FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Compute the outer product.

outerProduct(RealVector) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Compute the outer product.

outerProduct(RealVector) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Compute the outer product.

outerProduct(SparseFieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Optimized method to compute outer product when both vectors are sparse.

OUTLINE_BOUNDARY_LOOP_OPEN - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

OutOfRangeException - Exception in org.apache.commons.math4.legacy.exception

Exception to be thrown when some argument is out of range.

OutOfRangeException(Number, Number, Number) - Constructor for exception org.apache.commons.math4.legacy.exception.OutOfRangeException

Construct an exception from the mismatched dimensions.

OutOfRangeException(Localizable, Number, Number, Number) - Constructor for exception org.apache.commons.math4.legacy.exception.OutOfRangeException

Construct an exception from the mismatched dimensions with a specific context information.

OVERFLOW - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

OVERFLOW_IN_ADDITION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

OVERFLOW_IN_FRACTION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

OVERFLOW_IN_MULTIPLICATION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

OVERFLOW_IN_SUBTRACTION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

P

Pair<K,V> - Class in org.apache.commons.math4.legacy.core

Generic pair.

Pair(K, V) - Constructor for class org.apache.commons.math4.legacy.core.Pair

Create an entry representing a mapping from the specified key to the specified value.

Pair(Pair<? extends K, ? extends V>) - Constructor for class org.apache.commons.math4.legacy.core.Pair

Create an entry representing the same mapping as the specified entry.

pairedT(double[], double[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

pairedT(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Computes a paired, 2-sample t-statistic based on the data in the input arrays.

pairedTTest(double[], double[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

pairedTTest(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Returns the observed significance level, or p-value, associated with a paired, two-sample, two-tailed t-test based on the data in the input arrays.

pairedTTest(double[], double[], double) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

pairedTTest(double[], double[], double) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Performs a paired t-test evaluating the null hypothesis that the mean of the paired differences between sample1 and sample2 is 0 in favor of the two-sided alternative that the mean paired difference is not equal to 0, with significance level alpha.

ParameterGuesser() - Constructor for class org.apache.commons.math4.legacy.fitting.GaussianCurveFitter.ParameterGuesser

ParameterGuesser() - Constructor for class org.apache.commons.math4.legacy.fitting.HarmonicCurveFitter.ParameterGuesser

ParameterGuesser() - Constructor for class org.apache.commons.math4.legacy.fitting.SimpleCurveFitter.ParameterGuesser

Parameterizable - Interface in org.apache.commons.math4.legacy.ode

This interface enables to process any parameterizable object.

ParameterizedODE - Interface in org.apache.commons.math4.legacy.ode

Interface to compute by finite difference Jacobian matrix for some parameter when computing partial derivatives equations.

ParameterJacobianProvider - Interface in org.apache.commons.math4.legacy.ode

Interface to compute exactly Jacobian matrix for some parameter when computing partial derivatives equations.

parameterValidator(ParameterValidator) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresBuilder

Configure the validator of the model parameters.

ParameterValidator - Interface in org.apache.commons.math4.legacy.fitting.leastsquares

Interface for validating a set of model parameters.

Parametric() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Gaussian.Parametric

Parametric() - Constructor for class org.apache.commons.math4.legacy.analysis.function.HarmonicOscillator.Parametric

Parametric() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Logistic.Parametric

Parametric() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Logit.Parametric

Parametric() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Sigmoid.Parametric

Parametric() - Constructor for class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunction.Parametric

ParametricUnivariateFunction - Interface in org.apache.commons.math4.legacy.analysis

An interface representing a real function that depends on one independent variable plus some extra parameters.

parse(String) - Method in class org.apache.commons.math4.legacy.linear.RealMatrixFormat

Parse a string to produce a RealMatrix object.

parse(String) - Method in class org.apache.commons.math4.legacy.linear.RealVectorFormat

Parse a string to produce a RealVector object.

parse(String) - Method in class org.apache.commons.math4.legacy.util.ComplexFormat

Parses a string to produce a Complex object.

parse(String, ParsePosition) - Method in class org.apache.commons.math4.legacy.linear.RealMatrixFormat

Parse a string to produce a RealMatrix object.

parse(String, ParsePosition) - Method in class org.apache.commons.math4.legacy.linear.RealVectorFormat

Parse a string to produce a RealVector object.

parse(String, ParsePosition) - Method in class org.apache.commons.math4.legacy.util.ComplexFormat

Parses a string to produce a Complex object.

parseAndIgnoreWhitespace(String, ParsePosition) - Static method in class org.apache.commons.math4.legacy.util.CompositeFormat

Parses source until a non-whitespace character is found.

parseFixedstring(String, String, ParsePosition) - Static method in class org.apache.commons.math4.legacy.util.CompositeFormat

Parse source for an expected fixed string.

parseNextCharacter(String, ParsePosition) - Static method in class org.apache.commons.math4.legacy.util.CompositeFormat

Parses source until a non-whitespace character is found.

parseNumber(String, NumberFormat, ParsePosition) - Static method in class org.apache.commons.math4.legacy.util.CompositeFormat

Parses source for a number.

parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.BaseMultivariateOptimizer

Scans the list of (required and optional) optimization data that characterize the problem.

parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.BaseOptimizer

Scans the list of (required and optional) optimization data that characterize the problem.

parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.linear.LinearOptimizer

Scans the list of (required and optional) optimization data that characterize the problem.

parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.linear.SimplexSolver

Scans the list of (required and optional) optimization data that characterize the problem.

parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer

Scans the list of (required and optional) optimization data that characterize the problem.

parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.GradientMultivariateOptimizer

Scans the list of (required and optional) optimization data that characterize the problem.

parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.MultivariateOptimizer

Scans the list of (required and optional) optimization data that characterize the problem.

parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.CMAESOptimizer

Scans the list of (required and optional) optimization data that characterize the problem.

parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.SimplexOptimizer

Scans the list of (required and optional) optimization data that characterize the problem.

parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math4.legacy.optim.univariate.UnivariateOptimizer

Scans the list of (required and optional) optimization data that characterize the problem.

partialDerivativeX() - Method in class org.apache.commons.math4.legacy.analysis.interpolation.BicubicInterpolatingFunction

partialDerivativeXX() - Method in class org.apache.commons.math4.legacy.analysis.interpolation.BicubicInterpolatingFunction

partialDerivativeXY() - Method in class org.apache.commons.math4.legacy.analysis.interpolation.BicubicInterpolatingFunction

partialDerivativeY() - Method in class org.apache.commons.math4.legacy.analysis.interpolation.BicubicInterpolatingFunction

partialDerivativeYY() - Method in class org.apache.commons.math4.legacy.analysis.interpolation.BicubicInterpolatingFunction

PearsonsCorrelation - Class in org.apache.commons.math4.legacy.stat.correlation

Computes Pearson's product-moment correlation coefficients for pairs of arrays or columns of a matrix.

PearsonsCorrelation() - Constructor for class org.apache.commons.math4.legacy.stat.correlation.PearsonsCorrelation

Create a PearsonsCorrelation instance without data.

PearsonsCorrelation(double[][]) - Constructor for class org.apache.commons.math4.legacy.stat.correlation.PearsonsCorrelation

Create a PearsonsCorrelation from a rectangular array whose columns represent values of variables to be correlated.

PearsonsCorrelation(RealMatrix) - Constructor for class org.apache.commons.math4.legacy.stat.correlation.PearsonsCorrelation

Create a PearsonsCorrelation from a RealMatrix whose columns represent variables to be correlated.

PearsonsCorrelation(RealMatrix, int) - Constructor for class org.apache.commons.math4.legacy.stat.correlation.PearsonsCorrelation

Create a PearsonsCorrelation from a covariance matrix.

PearsonsCorrelation(Covariance) - Constructor for class org.apache.commons.math4.legacy.stat.correlation.PearsonsCorrelation

Create a PearsonsCorrelation from a Covariance.

PEGASUS - org.apache.commons.math4.legacy.analysis.solvers.BaseSecantSolver.Method

The Pegasus method.

PegasusSolver - Class in org.apache.commons.math4.legacy.analysis.solvers

Implements the Pegasus method for root-finding (approximating a zero of a univariate real function).

PegasusSolver() - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.PegasusSolver

Construct a solver with default accuracy (1e-6).

PegasusSolver(double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.PegasusSolver

Construct a solver.

PegasusSolver(double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.PegasusSolver

Construct a solver.

PegasusSolver(double, double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.PegasusSolver

Construct a solver.

pelzGood(double, int) - Method in class org.apache.commons.math4.legacy.stat.inference.KolmogorovSmirnovTest

Computes the Pelz-Good approximation for \(P(D_n < d)\) as described in [2] in the class javadoc.

percentile(double[], double) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns an estimate of the pth percentile of the values in the values array.

percentile(double[], int, int, double) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns an estimate of the pth percentile of the values in the values array, starting with the element in (0-based) position begin in the array and including length values.

Percentile - Class in org.apache.commons.math4.legacy.stat.descriptive.rank

Provides percentile computation.

Percentile() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Constructs a Percentile with the following defaults.

Percentile(double) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Constructs a Percentile with the specific quantile value and the following.

Percentile(double, Percentile.EstimationType, NaNStrategy, KthSelector) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Constructs a Percentile with the specific quantile value, Percentile.EstimationType, NaNStrategy and KthSelector.

Percentile(Percentile) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Copy constructor, creates a new Percentile identical.

PERCENTILE_IMPLEMENTATION_CANNOT_ACCESS_METHOD - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

PERCENTILE_IMPLEMENTATION_UNSUPPORTED_METHOD - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

Percentile.EstimationType - Enum in org.apache.commons.math4.legacy.stat.descriptive.rank

An enum for various estimation strategies of a percentile referred in wikipedia on quantile with the names of enum matching those of types mentioned in wikipedia.

performHouseholderReflection(int, double[][]) - Method in class org.apache.commons.math4.legacy.linear.QRDecomposition

Perform Householder reflection for a minor A(minor, minor) of A.

performHouseholderReflection(int, double[][]) - Method in class org.apache.commons.math4.legacy.linear.RRQRDecomposition

Perform Householder reflection for a minor A(minor, minor) of A.

PERMUTATION_EXCEEDS_N - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

PERMUTATION_SIZE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

PermutationChromosome<T> - Interface in org.apache.commons.math4.legacy.genetics

Interface indicating that the chromosome represents a permutation of objects.

PI - Static variable in class org.apache.commons.math4.core.jdkmath.AccurateMath

Archimede's constant PI, ratio of circle circumference to diameter.

PI - Static variable in class org.apache.commons.math4.core.jdkmath.JdkMath

Constant.

PiecewiseBicubicSplineInterpolatingFunction - Class in org.apache.commons.math4.legacy.analysis.interpolation

Function that implements the bicubic spline interpolation.

PiecewiseBicubicSplineInterpolatingFunction(double[], double[], double[][]) - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction

PiecewiseBicubicSplineInterpolator - Class in org.apache.commons.math4.legacy.analysis.interpolation

Generates a piecewise-bicubic interpolating function.

PiecewiseBicubicSplineInterpolator() - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.PiecewiseBicubicSplineInterpolator

pivotIndex(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.CentralPivotingStrategy

Find pivot index of the array so that partition and K^th element selection can be made.

pivotIndex(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.MedianOf3PivotingStrategy

Find pivot index of the array so that partition and K^th element selection can be made.

pivotIndex(double[], int, int) - Method in interface org.apache.commons.math4.legacy.stat.descriptive.rank.PivotingStrategy

Find pivot index of the array so that partition and K^th element selection can be made.

pivotIndex(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.RandomPivotingStrategy

Find pivot index of the array so that partition and K^th element selection can be made.

PivotingStrategy - Interface in org.apache.commons.math4.legacy.stat.descriptive.rank

A strategy to pick a pivoting index of an array for doing partitioning.

PivotSelectionRule - Enum in org.apache.commons.math4.legacy.optim.linear

Pivot selection rule to the use for a Simplex solver.

PointValuePair - Class in org.apache.commons.math4.legacy.optim

This class holds a point and the value of an objective function at that point.

PointValuePair(double[], double) - Constructor for class org.apache.commons.math4.legacy.optim.PointValuePair

Builds a point/objective function value pair.

PointValuePair(double[], double, boolean) - Constructor for class org.apache.commons.math4.legacy.optim.PointValuePair

Builds a point/objective function value pair.

PointVectorValuePair - Class in org.apache.commons.math4.legacy.optim

This class holds a point and the vectorial value of an objective function at that point.

PointVectorValuePair(double[], double[]) - Constructor for class org.apache.commons.math4.legacy.optim.PointVectorValuePair

Builds a point/objective function value pair.

PointVectorValuePair(double[], double[], boolean) - Constructor for class org.apache.commons.math4.legacy.optim.PointVectorValuePair

Build a point/objective function value pair.

POLAK_RIBIERE - org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula

Polak-Ribière formula.

POLYNOMIAL - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

POLYNOMIAL_INTERPOLANTS_MISMATCH_SEGMENTS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

PolynomialCurveFitter - Class in org.apache.commons.math4.legacy.fitting

Fits points to a polynomial function.

polynomialDerivative() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunction

Returns the derivative as a PolynomialFunction.

PolynomialFunction - Class in org.apache.commons.math4.legacy.analysis.polynomials

Immutable representation of a real polynomial function with real coefficients.

PolynomialFunction(double[]) - Constructor for class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunction

Construct a polynomial with the given coefficients.

PolynomialFunction.Parametric - Class in org.apache.commons.math4.legacy.analysis.polynomials

Dedicated parametric polynomial class.

PolynomialFunctionLagrangeForm - Class in org.apache.commons.math4.legacy.analysis.polynomials

Implements the representation of a real polynomial function in Lagrange Form.

PolynomialFunctionLagrangeForm(double[], double[]) - Constructor for class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunctionLagrangeForm

Construct a Lagrange polynomial with the given abscissas and function values.

PolynomialFunctionNewtonForm - Class in org.apache.commons.math4.legacy.analysis.polynomials

Implements the representation of a real polynomial function in Newton Form.

PolynomialFunctionNewtonForm(double[], double[]) - Constructor for class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunctionNewtonForm

Construct a Newton polynomial with the given a[] and c[].

PolynomialSolver - Interface in org.apache.commons.math4.legacy.analysis.solvers

Interface for (polynomial) root-finding algorithms.

polynomialSplineDerivative() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialSplineFunction

Get the derivative of the polynomial spline function.

PolynomialSplineFunction - Class in org.apache.commons.math4.legacy.analysis.polynomials

Represents a polynomial spline function.

PolynomialSplineFunction(double[], PolynomialFunction[]) - Constructor for class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialSplineFunction

Construct a polynomial spline function with the given segment delimiters and interpolating polynomials.

PolynomialsUtils - Class in org.apache.commons.math4.legacy.analysis.polynomials

A collection of static methods that operate on or return polynomials.

Population - Interface in org.apache.commons.math4.legacy.genetics

A collection of chromosomes that facilitates generational evolution.

POPULATION_LIMIT_NOT_POSITIVE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

POPULATION_SIZE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

PopulationSize - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar

Population size.

PopulationSize(int) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.PopulationSize

populationVariance(double[]) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the population variance of the entries in the input array, or Double.NaN if the array is empty.

populationVariance(double[], double) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the population variance of the entries in the input array, using the precomputed mean value.

populationVariance(double[], double, int, int) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the population variance of the entries in the specified portion of the input array, using the precomputed mean value.

populationVariance(double[], int, int) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the population variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

positiveOrNull() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Check if instance is greater than or equal to 0.

pow(double) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Power operation.

pow(double) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Power operation.

pow(double) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Power operation.

pow(double) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Power operation.

pow(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute power of a derivative structure.

pow(double[], int, double, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute power of a derivative structure.

pow(double[], int, int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute integer power of a derivative structure.

pow(double, double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Power function.

pow(double, double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

pow(double, double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute power of a double to a derivative structure.

pow(double, int) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Raise a double to an int power.

pow(double, long) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Raise a double to a long power.

pow(double, DerivativeStructure) - Static method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Compute a^x where a is a double and x a DerivativeStructure.

pow(double, SparseGradient) - Static method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Compute a^x where a is a double and x a SparseGradient.

pow(int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Integer power operation.

pow(int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Integer power operation.

pow(int) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Integer power operation.

pow(int) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Integer power operation.

pow(int) - Method in class org.apache.commons.math4.legacy.field.linalg.FieldDenseMatrix

Multiplies the matrix with itself p times.

pow(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Power operation.

pow(SparseGradient) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Power operation.

pow(Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Power operation.

pow(Dfp, int) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

Raises base to the power a by successive squaring.

pow(Dfp, Dfp) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

Computes x to the y power.

pow(T) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Power operation.

Pow - Class in org.apache.commons.math4.legacy.analysis.function

Power function.

Pow() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Pow

PowellOptimizer - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv

Powell's algorithm.

PowellOptimizer(double, double) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.PowellOptimizer

The parameters control the default convergence checking procedure.

PowellOptimizer(double, double, double, double) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.PowellOptimizer

Builds an instance with the default convergence checking procedure.

PowellOptimizer(double, double, double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.PowellOptimizer

This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure and the line search tolerances.

PowellOptimizer(double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.PowellOptimizer

This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure.

power(int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Returns the result multiplying this with itself p times.

power(int) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Returns the result of multiplying this with itself p times.

power(int) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Returns the result multiplying this with itself p times.

power(int) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Returns the result of multiplying this with itself p times.

Power - Class in org.apache.commons.math4.legacy.analysis.function

Power function.

Power(double) - Constructor for class org.apache.commons.math4.legacy.analysis.function.Power

POWER_NEGATIVE_PARAMETERS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

power10(int) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Return the specified power of 10.

power10K(int) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Get the specified power of 10000.

precondition(double[], double[]) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.IdentityPreconditioner

Precondition a search direction.

precondition(double[], double[]) - Method in interface org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient.Preconditioner

Precondition a search direction.

PreconditionedIterativeLinearSolver - Class in org.apache.commons.math4.legacy.linear

This abstract class defines preconditioned iterative solvers.

PreconditionedIterativeLinearSolver(int) - Constructor for class org.apache.commons.math4.legacy.linear.PreconditionedIterativeLinearSolver

Creates a new instance of this class, with default iteration manager.

PreconditionedIterativeLinearSolver(IterationManager) - Constructor for class org.apache.commons.math4.legacy.linear.PreconditionedIterativeLinearSolver

Creates a new instance of this class, with custom iteration manager.

Preconditioner - Interface in org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient

This interface represents a preconditioner for differentiable scalar objective function optimizers.

predict() - Method in class org.apache.commons.math4.legacy.filter.KalmanFilter

Predict the internal state estimation one time step ahead.

predict(double) - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Returns the "predicted" y value associated with the supplied x value, based on the data that has been added to the model when this method is activated.

predict(double[]) - Method in class org.apache.commons.math4.legacy.filter.KalmanFilter

Predict the internal state estimation one time step ahead.

predict(RealVector) - Method in class org.apache.commons.math4.legacy.filter.KalmanFilter

Predict the internal state estimation one time step ahead.

preMultiply(double[]) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(double[]) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(double[]) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(double[]) - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(double[]) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(FieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Premultiply this matrix by m.

preMultiply(FieldMatrix<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Premultiply this matrix by m.

preMultiply(FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(FieldVector<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(RealMatrix) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Returns the result of premultiplying this by m.

preMultiply(RealMatrix) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Returns the result of premultiplying this by m.

preMultiply(RealVector) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(RealVector) - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(RealVector) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(T[]) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(T[]) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(T[]) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Returns the (row) vector result of premultiplying this by the vector v.

preMultiply(T[]) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Returns the (row) vector result of premultiplying this by the vector v.

probability(double, double) - Method in class org.apache.commons.math4.legacy.distribution.AbstractRealDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).

probability(int) - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedIntegerDistribution

probability(int, int) - Method in class org.apache.commons.math4.legacy.distribution.AbstractIntegerDistribution

The default implementation uses the identity

ProcessModel - Interface in org.apache.commons.math4.legacy.filter

Defines the process dynamics model for the use with a KalmanFilter.

product(double[]) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the product of the entries in the input array, or Double.NaN if the array is empty.

product(double[], int, int) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

Product - Class in org.apache.commons.math4.legacy.stat.descriptive.summary

Returns the product of the available values.

Product() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.summary.Product

Create a Product instance.

Product(Product) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.summary.Product

Copy constructor, creates a new Product identical to the original.

projection(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Find the orthogonal projection of this vector onto another vector.

projection(FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Find the orthogonal projection of this vector onto another vector.

projection(FieldVector<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Find the orthogonal projection of this vector onto another vector.

projection(FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Find the orthogonal projection of this vector onto another vector.

projection(RealVector) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Find the orthogonal projection of this vector onto another vector.

PROPAGATION_DIRECTION_MISMATCH - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

providesResidual() - Method in class org.apache.commons.math4.legacy.linear.DefaultIterativeLinearSolverEvent

Returns true if IterativeLinearSolverEvent.getResidual() is supported.

providesResidual() - Method in class org.apache.commons.math4.legacy.linear.IterativeLinearSolverEvent

Returns true if IterativeLinearSolverEvent.getResidual() is supported.

PSquarePercentile - Class in org.apache.commons.math4.legacy.stat.descriptive.rank

A StorelessUnivariateStatistic estimating percentiles using the P² Algorithm as explained by Raj Jain and Imrich Chlamtac in P² Algorithm for Dynamic Calculation of Quantiles and Histogram Without Storing Observations.

PSquarePercentile(double) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.rank.PSquarePercentile

Constructs a PSquarePercentile with the specific percentile value.

Q

QNAN - Static variable in class org.apache.commons.math4.legacy.core.dfp.Dfp

Indicator value for quiet NaN.

QR - org.apache.commons.math4.legacy.fitting.leastsquares.GaussNewtonOptimizer.Decomposition

Solve the linear least squares problem (Jx=r) using the QRDecomposition.

QRDecomposition - Class in org.apache.commons.math4.legacy.linear

Calculates the QR-decomposition of a matrix.

QRDecomposition(RealMatrix) - Constructor for class org.apache.commons.math4.legacy.linear.QRDecomposition

Calculates the QR-decomposition of the given matrix.

QRDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math4.legacy.linear.QRDecomposition

Calculates the QR-decomposition of the given matrix.

quantile() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.PSquarePercentile

Returns the quantile estimated by this statistic in the range [0.0-1.0].

quasiSigmoidDecay(double, double, long) - Static method in class org.apache.commons.math4.neuralnet.sofm.LearningFactorFunctionFactory

Creates an sigmoid-like LearningFactorFunction function.

quasiSigmoidDecay(double, double, long) - Static method in class org.apache.commons.math4.neuralnet.sofm.NeighbourhoodSizeFunctionFactory

Creates an sigmoid-like NeighbourhoodSizeFunction function.

QuasiSigmoidDecayFunction - Class in org.apache.commons.math4.neuralnet.sofm.util

Decay function whose shape is similar to a sigmoid.

QuasiSigmoidDecayFunction(double, double, long) - Constructor for class org.apache.commons.math4.neuralnet.sofm.util.QuasiSigmoidDecayFunction

Creates an instance.

R

R_1 - org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile.EstimationType

The method R_1 has the following formulae for index and estimates.
\( \begin{align} &index= Np + 1/2\, \\ &estimate= x_{\lceil h\,-\,1/2 \rceil} \\ &minLimit = 0 \\ \end{align}\)

R_2 - org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile.EstimationType

The method R_2 has the following formulae for index and estimates.
\( \begin{align} &index= Np + 1/2\, \\ &estimate=\frac{x_{\lceil h\,-\,1/2 \rceil} + x_{\lfloor h\,+\,1/2 \rfloor}}{2} \\ &minLimit = 0 \\ &maxLimit = 1 \\ \end{align}\)

R_3 - org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile.EstimationType

The method R_3 has the following formulae for index and estimates.
\( \begin{align} &index= Np \\ &estimate= x_{\lfloor h \rceil}\, \\ &minLimit = 0.5/N \\ \end{align}\)

R_4 - org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile.EstimationType

The method R_4 has the following formulae for index and estimates.
\( \begin{align} &index= Np\, \\ &estimate= x_{\lfloor h \rfloor} + (h - \lfloor h \rfloor) (x_{\lfloor h \rfloor + 1} - x_{\lfloor h \rfloor}) \\ &minLimit = 1/N \\ &maxLimit = 1 \\ \end{align}\)

R_5 - org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile.EstimationType

The method R_5 has the following formulae for index and estimates.
\( \begin{align} &index= Np + 1/2\\ &estimate= x_{\lfloor h \rfloor} + (h - \lfloor h \rfloor) (x_{\lfloor h \rfloor + 1} - x_{\lfloor h \rfloor}) \\ &minLimit = 0.5/N \\ &maxLimit = (N-0.5)/N \end{align}\)

R_6 - org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile.EstimationType

The method R_6 has the following formulae for index and estimates.
\( \begin{align} &index= (N + 1)p \\ &estimate= x_{\lfloor h \rfloor} + (h - \lfloor h \rfloor) (x_{\lfloor h \rfloor + 1} - x_{\lfloor h \rfloor}) \\ &minLimit = 1/(N+1) \\ &maxLimit = N/(N+1) \\ \end{align}\)

R_7 - org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile.EstimationType

The method R_7 implements Microsoft Excel style computation has the following formulae for index and estimates.
\( \begin{align} &index = (N-1)p + 1 \\ &estimate = x_{\lfloor h \rfloor} + (h - \lfloor h \rfloor) (x_{\lfloor h \rfloor + 1} - x_{\lfloor h \rfloor}) \\ &minLimit = 0 \\ &maxLimit = 1 \\ \end{align}\) The formula to evaluate weighted percentiles is as following.
\( \begin{align} &S_k = (k-1)w_k + (n-1)\sum_{i=1}^{k-1}w_i &Then find k s.t.

R_8 - org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile.EstimationType

The method R_8 has the following formulae for index and estimates.
\( \begin{align} &index = (N + 1/3)p + 1/3 \\ &estimate = x_{\lfloor h \rfloor} + (h - \lfloor h \rfloor) (x_{\lfloor h \rfloor + 1} - x_{\lfloor h \rfloor}) \\ &minLimit = (2/3)/(N+1/3) \\ &maxLimit = (N-1/3)/(N+1/3) \\ \end{align}\)

R_9 - org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile.EstimationType

The method R_9 has the following formulae for index and estimates.
\( \begin{align} &index = (N + 1/4)p + 3/8\\ &estimate = x_{\lfloor h \rfloor} + (h - \lfloor h \rfloor) (x_{\lfloor h \rfloor + 1} - x_{\lfloor h \rfloor}) \\ &minLimit = (5/8)/(N+1/4) \\ &maxLimit = (N-3/8)/(N+1/4) \\ \end{align}\)

RADIX - Static variable in class org.apache.commons.math4.legacy.core.dfp.Dfp

The radix, or base of this system.

random() - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

RANDOM - org.apache.commons.math4.legacy.stat.ranking.TiesStrategy

Ties get a random integral value from among applicable ranks.

randomBinaryRepresentation(int) - Static method in class org.apache.commons.math4.legacy.genetics.BinaryChromosome

Returns a representation of a random binary array of length length.

randomize(ContinuousUniformSampler, FeatureInitializer) - Static method in class org.apache.commons.math4.neuralnet.FeatureInitializerFactory

Adds some amount of random data to the given initializer.

RandomKey<T> - Class in org.apache.commons.math4.legacy.genetics

Random Key chromosome is used for permutation representation.

RandomKey(Double[]) - Constructor for class org.apache.commons.math4.legacy.genetics.RandomKey

Constructor.

RandomKey(List<Double>) - Constructor for class org.apache.commons.math4.legacy.genetics.RandomKey

Constructor.

RANDOMKEY_MUTATION_WRONG_CLASS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

RandomKeyMutation - Class in org.apache.commons.math4.legacy.genetics

Mutation operator for RandomKeys.

RandomKeyMutation() - Constructor for class org.apache.commons.math4.legacy.genetics.RandomKeyMutation

randomPermutation(int) - Static method in class org.apache.commons.math4.legacy.genetics.RandomKey

Generates a representation corresponding to a random permutation of length l which can be passed to the RandomKey constructor.

RandomPivotingStrategy - Class in org.apache.commons.math4.legacy.stat.descriptive.rank

A strategy of selecting random index between begin and end indices.

RandomPivotingStrategy(RandomSource, long) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.rank.RandomPivotingStrategy

Simple constructor.

range(int, int) - Static method in class org.apache.commons.math4.legacy.core.IntegerSequence

Creates a sequence [start .. end].

range(int, int, int) - Static method in class org.apache.commons.math4.legacy.core.IntegerSequence

Creates a sequence ai, i < 0 < n where ai = start + i * step and n is such that an <= max and an+1 > max.

Range(int, int, int) - Constructor for class org.apache.commons.math4.legacy.core.IntegerSequence.Range

Creates a sequence ai, i < 0 < n where ai = start + i * step and n is such that an <= max and an+1 > max.

rank(double[]) - Method in class org.apache.commons.math4.legacy.stat.ranking.NaturalRanking

Rank data using the natural ordering on Doubles, with NaN values handled according to nanStrategy and ties resolved using tiesStrategy.

rank(double[]) - Method in interface org.apache.commons.math4.legacy.stat.ranking.RankingAlgorithm

Performs a rank transformation on the input data, returning an array of ranks.

rank(double[]) - Method in class org.apache.commons.math4.neuralnet.MapRanking

Creates a list of the neurons whose features best correspond to the given features.

rank(double[], int) - Method in class org.apache.commons.math4.neuralnet.MapRanking

Creates a list of the neurons whose features best correspond to the given features.

ranking(ClusterEvaluator) - Static method in interface org.apache.commons.math4.legacy.ml.clustering.ClusterEvaluator

Converts to a ranking function (as required by clustering implementations).

RankingAlgorithm - Interface in org.apache.commons.math4.legacy.stat.ranking

Interface representing a rank transformation.

readBaseExternal(ObjectInput) - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Read the base state of the instance.

readExternal(ObjectInput) - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

readExternal(ObjectInput) - Method in class org.apache.commons.math4.legacy.ode.sampling.NordsieckStepInterpolator

REAL_FORMAT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

RealFieldElement<T> - Interface in org.apache.commons.math4.legacy.core

Interface representing a real field.

RealFieldUnivariateFunction<T extends RealFieldElement<T>> - Interface in org.apache.commons.math4.legacy.analysis

An interface representing a univariate real function.

RealLinearOperator - Class in org.apache.commons.math4.legacy.linear

This class defines a linear operator operating on real (double) vector spaces.

RealLinearOperator() - Constructor for class org.apache.commons.math4.legacy.linear.RealLinearOperator

RealMatrix - Interface in org.apache.commons.math4.legacy.linear

Interface defining a real-valued matrix with basic algebraic operations.

RealMatrixChangingVisitor - Interface in org.apache.commons.math4.legacy.linear

Interface defining a visitor for matrix entries.

RealMatrixFormat - Class in org.apache.commons.math4.legacy.linear

Formats a nxm matrix in components list format "{{a₀₀,a₀₁, ..., a_0m-1},{a₁₀, a₁₁, ..., a_1m-1},{...},{ a_n-10, a_n-11, ..., a_n-1m-1}}".

RealMatrixFormat() - Constructor for class org.apache.commons.math4.legacy.linear.RealMatrixFormat

Create an instance with default settings.

RealMatrixFormat(String, String, String, String, String, String) - Constructor for class org.apache.commons.math4.legacy.linear.RealMatrixFormat

Create an instance with custom prefix, suffix and separator.

RealMatrixFormat(String, String, String, String, String, String, NumberFormat) - Constructor for class org.apache.commons.math4.legacy.linear.RealMatrixFormat

Create an instance with custom prefix, suffix, separator and format for components.

RealMatrixFormat(NumberFormat) - Constructor for class org.apache.commons.math4.legacy.linear.RealMatrixFormat

Create an instance with a custom number format for components.

RealMatrixPreservingVisitor - Interface in org.apache.commons.math4.legacy.linear

Interface defining a visitor for matrix entries.

RealTransform - Interface in org.apache.commons.math4.transform

Real transforms.

RealVector - Class in org.apache.commons.math4.legacy.linear

Class defining a real-valued vector with basic algebraic operations.

RealVector() - Constructor for class org.apache.commons.math4.legacy.linear.RealVector

RealVector.Entry - Class in org.apache.commons.math4.legacy.linear

An entry in the vector.

RealVector.SparseEntryIterator - Class in org.apache.commons.math4.legacy.linear

This class should rarely be used, but is here to provide a default implementation of sparseIterator(), which is implemented by walking over the entries, skipping those that are zero.

RealVectorChangingVisitor - Interface in org.apache.commons.math4.legacy.linear

This interface defines a visitor for the entries of a vector.

RealVectorFormat - Class in org.apache.commons.math4.legacy.linear

Formats a vector in components list format "{v0; v1; ...; vk-1}".

RealVectorFormat() - Constructor for class org.apache.commons.math4.legacy.linear.RealVectorFormat

Create an instance with default settings.

RealVectorFormat(String, String, String) - Constructor for class org.apache.commons.math4.legacy.linear.RealVectorFormat

Create an instance with custom prefix, suffix and separator.

RealVectorFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math4.legacy.linear.RealVectorFormat

Create an instance with custom prefix, suffix, separator and format for components.

RealVectorFormat(NumberFormat) - Constructor for class org.apache.commons.math4.legacy.linear.RealVectorFormat

Create an instance with a custom number format for components.

RealVectorPreservingVisitor - Interface in org.apache.commons.math4.legacy.linear

This interface defines a visitor for the entries of a vector.

reciprocal() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Returns the multiplicative inverse of this element.

reciprocal() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Returns the multiplicative inverse of this element.

reciprocal() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Returns the multiplicative inverse of this element.

reciprocal() - Method in interface org.apache.commons.math4.legacy.core.FieldElement

Returns the multiplicative inverse of this element.

reciprocal() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Returns the multiplicative inverse of this element.

reciprocal() - Method in class org.apache.commons.math4.legacy.linear.BigReal

Returns the multiplicative inverse of this element.

RectangularCholeskyDecomposition - Class in org.apache.commons.math4.legacy.linear

Calculates the rectangular Cholesky decomposition of a matrix.

RectangularCholeskyDecomposition(RealMatrix) - Constructor for class org.apache.commons.math4.legacy.linear.RectangularCholeskyDecomposition

Decompose a symmetric positive semidefinite matrix.

RectangularCholeskyDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math4.legacy.linear.RectangularCholeskyDecomposition

Decompose a symmetric positive semidefinite matrix.

registerVariationalEquations(ExpandableStatefulODE) - Method in class org.apache.commons.math4.legacy.ode.JacobianMatrices

Register the variational equations for the Jacobians matrices to the expandable set.

regress() - Method in class org.apache.commons.math4.legacy.stat.regression.MillerUpdatingRegression

Conducts a regression on the data in the model, using all regressors.

regress() - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Performs a regression on data present in buffers and outputs a RegressionResults object.

regress() - Method in interface org.apache.commons.math4.legacy.stat.regression.UpdatingMultipleLinearRegression

Performs a regression on data present in buffers and outputs a RegressionResults object.

regress(int) - Method in class org.apache.commons.math4.legacy.stat.regression.MillerUpdatingRegression

Conducts a regression on the data in the model, using a subset of regressors.

regress(int[]) - Method in class org.apache.commons.math4.legacy.stat.regression.MillerUpdatingRegression

Conducts a regression on the data in the model, using regressors in array Calling this method will change the internal order of the regressors and care is required in interpreting the hatmatrix.

regress(int[]) - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Performs a regression on data present in buffers including only regressors.

regress(int[]) - Method in interface org.apache.commons.math4.legacy.stat.regression.UpdatingMultipleLinearRegression

Performs a regression on data present in buffers including only regressors.

RegressionResults - Class in org.apache.commons.math4.legacy.stat.regression

Results of a Multiple Linear Regression model fit.

RegressionResults(double[], double[][], boolean, long, int, double, double, double, boolean, boolean) - Constructor for class org.apache.commons.math4.legacy.stat.regression.RegressionResults

Constructor for Regression Results.

REGULA_FALSI - org.apache.commons.math4.legacy.analysis.solvers.BaseSecantSolver.Method

The Regula Falsi or False Position method.

RegulaFalsiSolver - Class in org.apache.commons.math4.legacy.analysis.solvers

Implements the Regula Falsi or False position method for root-finding (approximating a zero of a univariate real function).

RegulaFalsiSolver() - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.RegulaFalsiSolver

Construct a solver with default accuracy (1e-6).

RegulaFalsiSolver(double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.RegulaFalsiSolver

Construct a solver.

RegulaFalsiSolver(double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.RegulaFalsiSolver

Construct a solver.

RegulaFalsiSolver(double, double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.RegulaFalsiSolver

Construct a solver.

reinitialize(double[], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Reinitialize the instance.

reinitialize(double[], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math4.legacy.ode.sampling.NordsieckStepInterpolator

Reinitialize the instance.

reinitialize(double, double, double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math4.legacy.ode.sampling.NordsieckStepInterpolator

Reinitialize the instance.

reinitializeBegin(FieldStepInterpolator<T>) - Method in class org.apache.commons.math4.legacy.ode.events.FieldEventState

Reinitialize the beginning of the step.

reinitializeBegin(StepInterpolator) - Method in class org.apache.commons.math4.legacy.ode.events.EventState

Reinitialize the beginning of the step.

Relationship - Enum in org.apache.commons.math4.legacy.optim.linear

Types of relationships between two cells in a Solver LinearConstraint.

remainder(double) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

IEEE remainder operator.

remainder(double) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

IEEE remainder operator.

remainder(double) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

IEEE remainder operator.

remainder(double) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

IEEE remainder operator.

remainder(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Perform remainder of two derivative structures.

remainder(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

IEEE remainder operator.

remainder(SparseGradient) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

IEEE remainder operator.

remainder(Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Returns the IEEE remainder.

remainder(T) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

IEEE remainder operator.

remove() - Method in class org.apache.commons.math4.legacy.core.IntegerSequence.Incrementor

Not applicable.

remove() - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector.OpenMapSparseIterator

remove() - Method in class org.apache.commons.math4.legacy.linear.RealVector.SparseEntryIterator

REMOVED - org.apache.commons.math4.legacy.stat.ranking.NaNStrategy

NaNs are removed before computing ranks.

removeData(double[][]) - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Removes observations represented by the elements in data.

removeData(double, double) - Method in class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Removes the observation (x,y) from the regression data set.

removeIterationListener(IterationListener) - Method in class org.apache.commons.math4.legacy.linear.IterationManager

Removes the specified iteration listener from the list of listeners currently attached to this object.

removeMostRecentValue() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Removes the most recent value from the dataset.

replaceMostRecentValue(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Replaces the most recently stored value with the given value.

rescale(double) - Method in class org.apache.commons.math4.legacy.ode.sampling.NordsieckStepInterpolator

Rescale the instance.

rescale(T) - Method in class org.apache.commons.math4.legacy.ode.MultistepFieldIntegrator

Rescale the instance.

reset(double, double[]) - Method in class org.apache.commons.math4.legacy.ode.events.EventState

Let the event handler reset the state if it wants.

reset(FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math4.legacy.ode.events.FieldEventState

Let the event handler reset the state if it wants.

RESET_DERIVATIVES - org.apache.commons.math4.legacy.ode.events.Action

Reset derivatives indicator.

RESET_DERIVATIVES - org.apache.commons.math4.legacy.ode.events.EventHandler.Action

Reset derivatives indicator.

RESET_STATE - org.apache.commons.math4.legacy.ode.events.Action

Reset state indicator.

RESET_STATE - org.apache.commons.math4.legacy.ode.events.EventHandler.Action

Reset state indicator.

resetInternalState() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeFieldIntegrator

Reset internal state to dummy values.

resetInternalState() - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeIntegrator

Reset internal state to dummy values.

resetIterationCount() - Method in class org.apache.commons.math4.legacy.linear.IterationManager

Sets the iteration count to 0.

resetOccurred - Variable in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Indicator that a state or derivative reset was triggered by some event.

resetOccurred() - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Check if a reset occurred while last step was accepted.

resetState(double, double[]) - Method in class org.apache.commons.math4.legacy.ode.events.EventFilter

Reset the state prior to continue the integration.

resetState(double, double[]) - Method in interface org.apache.commons.math4.legacy.ode.events.EventHandler

Reset the state prior to continue the integration.

resetState(FieldODEStateAndDerivative<T>) - Method in interface org.apache.commons.math4.legacy.ode.events.FieldEventHandler

Reset the state prior to continue the integration.

restrictStep(FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractFieldStepInterpolator

Create a new restricted version of the instance.

RiddersSolver - Class in org.apache.commons.math4.legacy.analysis.solvers

Implements the Ridders' Method for root finding of real univariate functions.

RiddersSolver() - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.RiddersSolver

Construct a solver with default accuracy (1e-6).

RiddersSolver(double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.RiddersSolver

Construct a solver.

RiddersSolver(double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.RiddersSolver

Construct a solver.

RIGHT - org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D.HorizontalDirection

Column at the right of the current column.

RIGHT_SIDE - org.apache.commons.math4.legacy.analysis.solvers.AllowedSolution

Only solutions that are greater than or equal to the actual root are acceptable as solutions for root-finding.

rint() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.

rint() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.

rint() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Round to nearest integer using the round-half-even method.

rint() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.

rint(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Get the whole number that is the nearest to x, or the even one if x is exactly half way between two integers.

rint(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

Rint - Class in org.apache.commons.math4.legacy.analysis.function

rint function.

Rint() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Rint

rjBesl(double, double, int) - Static method in class org.apache.commons.math4.legacy.special.BesselJ

Calculates Bessel functions \(J_{n+alpha}(x)\) for non-negative argument x, and non-negative order n + alpha.

ROBUSTNESS_ITERATIONS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ROMBERG_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math4.legacy.analysis.integration.RombergIntegrator

Maximal number of iterations for Romberg.

RombergIntegrator - Class in org.apache.commons.math4.legacy.analysis.integration

Implements the Romberg Algorithm for integration of real univariate functions.

RombergIntegrator() - Constructor for class org.apache.commons.math4.legacy.analysis.integration.RombergIntegrator

Construct a Romberg integrator with default settings (max iteration count set to RombergIntegrator.ROMBERG_MAX_ITERATIONS_COUNT).

RombergIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math4.legacy.analysis.integration.RombergIntegrator

Build a Romberg integrator with given accuracies and iterations counts.

RombergIntegrator(int, int) - Constructor for class org.apache.commons.math4.legacy.analysis.integration.RombergIntegrator

Build a Romberg integrator with given iteration counts.

rootLogLikelihoodRatio(long, long, long, long) - Method in class org.apache.commons.math4.legacy.stat.inference.GTest

Calculates the root log-likelihood ratio for 2 state Datasets.

rootLogLikelihoodRatio(long, long, long, long) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

rootN(double[], int, int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute n^th root of a derivative structure.

rootN(int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

N^th root.

rootN(int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

N^th root.

rootN(int) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

N^th root.

rootN(int) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

N^th root.

ROOTS_OF_UNITY_NOT_COMPUTED_YET - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ROTATION_MATRIX_DIMENSIONS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

round() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Get the closest long to instance value.

round() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Get the closest long to instance value.

round() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Get the closest long to instance value.

round() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Get the closest long to instance value.

round(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Get the closest long to x.

round(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

round(float) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Get the closest int to x.

round(float) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

round(int) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Round this given the next digit n using the current rounding mode.

round(int) - Method in class org.apache.commons.math4.legacy.core.dfp.DfpDec

Round this given the next digit n using the current rounding mode.

ROUND_CEIL - org.apache.commons.math4.legacy.core.dfp.DfpField.RoundingMode

Rounds towards positive infinity.

ROUND_DOWN - org.apache.commons.math4.legacy.core.dfp.DfpField.RoundingMode

Rounds toward zero (truncation).

ROUND_FLOOR - org.apache.commons.math4.legacy.core.dfp.DfpField.RoundingMode

Rounds towards negative infinity.

ROUND_HALF_DOWN - org.apache.commons.math4.legacy.core.dfp.DfpField.RoundingMode

Rounds towards nearest unless both are equidistant in which case it rounds toward zero.

ROUND_HALF_EVEN - org.apache.commons.math4.legacy.core.dfp.DfpField.RoundingMode

Rounds towards nearest unless both are equidistant in which case it rounds toward the even neighbor.

ROUND_HALF_ODD - org.apache.commons.math4.legacy.core.dfp.DfpField.RoundingMode

Rounds towards nearest unless both are equidistant in which case it rounds toward the odd neighbor.

ROUND_HALF_UP - org.apache.commons.math4.legacy.core.dfp.DfpField.RoundingMode

Rounds towards nearest unless both are equidistant in which case it rounds away from zero.

ROUND_UP - org.apache.commons.math4.legacy.core.dfp.DfpField.RoundingMode

Rounds away from zero if discarded digit is non-zero.

ROW_INDEX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ROW_INDEX_OUT_OF_RANGE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

RRQRDecomposition - Class in org.apache.commons.math4.legacy.linear

Calculates the rank-revealing QR-decomposition of a matrix, with column pivoting.

RRQRDecomposition(RealMatrix) - Constructor for class org.apache.commons.math4.legacy.linear.RRQRDecomposition

Calculates the QR-decomposition of the given matrix.

RRQRDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math4.legacy.linear.RRQRDecomposition

Calculates the QR-decomposition of the given matrix.

run() - Method in class org.apache.commons.math4.neuralnet.sofm.KohonenTrainingTask

RungeKuttaFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements the common part of all fixed step Runge-Kutta integrators for Ordinary Differential Equations.

RungeKuttaFieldIntegrator(Field<T>, String, T) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.RungeKuttaFieldIntegrator

Simple constructor.

RungeKuttaIntegrator - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements the common part of all fixed step Runge-Kutta integrators for Ordinary Differential Equations.

RungeKuttaIntegrator(String, double[], double[][], double[], RungeKuttaStepInterpolator, double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.RungeKuttaIntegrator

Simple constructor.

S

SAME_SIGN_AT_ENDPOINTS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

sample() - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedDistribution.Sampler

Generates a random value sampled from this distribution.

sample() - Method in interface org.apache.commons.math4.legacy.distribution.MultivariateRealDistribution.Sampler

Generates a random value vector sampled from this distribution.

sample(int) - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedDistribution.Sampler

Generates a random sample from the distribution.

sample(int, MultivariateRealDistribution.Sampler) - Static method in class org.apache.commons.math4.legacy.distribution.AbstractMultivariateRealDistribution

Utility function for creating n vectors generated by the given sampler.

sample(int, ContinuousDistribution.Sampler) - Static method in class org.apache.commons.math4.legacy.distribution.AbstractRealDistribution

Utility function for allocating an array and filling it with n samples generated by the given sampler.

sample(int, DiscreteDistribution.Sampler) - Static method in class org.apache.commons.math4.legacy.distribution.AbstractIntegerDistribution

Utility function for allocating an array and filling it with n samples generated by the given sampler.

sample(int, T[]) - Method in class org.apache.commons.math4.legacy.distribution.EnumeratedDistribution.Sampler

Generates a random sample from the distribution.

SAMPLE_SIZE_EXCEEDS_COLLECTION_SIZE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

SAMPLE_SIZE_LARGER_THAN_POPULATION_SIZE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

sanityChecks(ExpandableStatefulODE, double) - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Check the integration span.

sanityChecks(ExpandableStatefulODE, double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeIntegrator

Check the integration span.

sanityChecks(FieldODEState<T>, T) - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Check the integration span.

sanityChecks(FieldODEState<T>, T) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeFieldIntegrator

Check the integration span.

scalAbsoluteTolerance - Variable in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeFieldIntegrator

Allowed absolute scalar error.

scalAbsoluteTolerance - Variable in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeIntegrator

Allowed absolute scalar error.

scalarAdd(double) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Returns the result of adding d to each entry of this.

scalarAdd(double) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Returns the result of adding d to each entry of this.

scalarAdd(double) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Returns the result of adding d to each entry of this.

scalarAdd(T) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Increment each entry of this matrix.

scalarAdd(T) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Increment each entry of this matrix.

scalarAdd(T) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Increment each entry of this matrix.

scalarMultiply(double) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Returns the result of multiplying each entry of this by d.

scalarMultiply(double) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Returns the result of multiplying each entry of this by d.

scalarMultiply(double) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Returns the result of multiplying each entry of this by d.

scalarMultiply(T) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Multiply each entry by d.

scalarMultiply(T) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Multiply each entry by d.

scalarMultiply(T) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Multiply each entry by d.

scalb(double, int) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Multiply a double number by a power of 2.

scalb(double, int) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

scalb(float, int) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Multiply a float number by a power of 2.

scalb(float, int) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

scalb(int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Multiply the instance by a power of 2.

scalb(int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Multiply the instance by a power of 2.

scalb(int) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Multiply the instance by a power of 2.

scalb(int) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Multiply the instance by a power of 2.

scale(double, double[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Create a copy of an array scaled by a value.

SCALE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

scaled - Variable in class org.apache.commons.math4.legacy.ode.MultistepFieldIntegrator

First scaled derivative (h y').

scaled - Variable in class org.apache.commons.math4.legacy.ode.MultistepIntegrator

First scaled derivative (h y').

scaleInPlace(double, double[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Multiply each element of an array by a value.

scalRelativeTolerance - Variable in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeFieldIntegrator

Allowed relative scalar error.

scalRelativeTolerance - Variable in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeIntegrator

Allowed relative scalar error.

score(List<? extends Cluster<? extends Clusterable>>) - Method in interface org.apache.commons.math4.legacy.ml.clustering.ClusterEvaluator

score(List<? extends Cluster<? extends Clusterable>>) - Method in class org.apache.commons.math4.legacy.ml.clustering.evaluation.CalinskiHarabasz

score(List<? extends Cluster<? extends Clusterable>>) - Method in class org.apache.commons.math4.legacy.ml.clustering.evaluation.SumOfClusterVariances

scramble(int, int, int, int) - Method in class org.apache.commons.math4.legacy.random.HaltonSequenceGenerator

Performs scrambling of digit d_j according to the formula:

search(double[], double[]) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.LineSearch

Deprecated.

Finds the number alpha that optimizes f(startPoint + alpha * direction).

search(UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math4.legacy.optim.univariate.BracketFinder

Search new points that bracket a local optimum of the function.

searchForFitnessUpdate(Population) - Method in class org.apache.commons.math4.legacy.genetics.Chromosome

Searches the population for a chromosome representing the same solution, and if it finds one, updates the fitness to its value.

SearchInterval - Class in org.apache.commons.math4.legacy.optim.univariate

Search interval and (optional) start value.

SearchInterval(double, double) - Constructor for class org.apache.commons.math4.legacy.optim.univariate.SearchInterval

SearchInterval(double, double, double) - Constructor for class org.apache.commons.math4.legacy.optim.univariate.SearchInterval

SecantSolver - Class in org.apache.commons.math4.legacy.analysis.solvers

Implements the Secant method for root-finding (approximating a zero of a univariate real function).

SecantSolver() - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.SecantSolver

Construct a solver with default accuracy (1e-6).

SecantSolver(double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.SecantSolver

Construct a solver.

SecantSolver(double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.solvers.SecantSolver

Construct a solver.

SecondaryEquations - Interface in org.apache.commons.math4.legacy.ode

This interface allows users to add secondary differential equations to a primary set of differential equations.

SecondMoment - Class in org.apache.commons.math4.legacy.stat.descriptive.moment

Computes a statistic related to the Second Central Moment.

SecondMoment() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.SecondMoment

Create a SecondMoment instance.

SecondMoment(SecondMoment) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.SecondMoment

Copy constructor, creates a new SecondMoment identical to the original.

SecondOrderDifferentialEquations - Interface in org.apache.commons.math4.legacy.ode

This interface represents a second order differential equations set.

SecondOrderIntegrator - Interface in org.apache.commons.math4.legacy.ode

This interface represents a second order integrator for differential equations.

select(double[], int[], int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.KthSelector

Select K^th value in the array.

select(Population) - Method in interface org.apache.commons.math4.legacy.genetics.SelectionPolicy

Select two chromosomes from the population.

select(Population) - Method in class org.apache.commons.math4.legacy.genetics.TournamentSelection

Select two chromosomes from the population.

SelectionPolicy - Interface in org.apache.commons.math4.legacy.genetics

Algorithm used to select a chromosome pair from a population.

selectTransformer(Transformer, double, boolean) - Method in enum org.apache.commons.math4.legacy.ode.events.FilterType

Get next function transformer in the specified direction.

SemiVariance - Class in org.apache.commons.math4.legacy.stat.descriptive.moment

Computes the semivariance of a set of values with respect to a given cutoff value.

SemiVariance() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance

Constructs a SemiVariance with default (true) biasCorrected property and default (Downside) varianceDirection property.

SemiVariance(boolean) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance

Constructs a SemiVariance with the specified biasCorrected property and default (Downside) varianceDirection property.

SemiVariance(boolean, SemiVariance.Direction) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance

Constructs a SemiVariance with the specified isBiasCorrected property and the specified Direction property.

SemiVariance(SemiVariance) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance

Copy constructor, creates a new SemiVariance identical to the original.

SemiVariance(SemiVariance.Direction) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance

Constructs a SemiVariance with the specified Direction property.

SemiVariance.Direction - Enum in org.apache.commons.math4.legacy.stat.descriptive.moment

The direction of the semivariance - either upside or downside.

sequence(int, int, int) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Returns an array of size integers starting at start, skipping stride numbers.

SEQUENTIAL - org.apache.commons.math4.legacy.stat.ranking.TiesStrategy

Ties assigned sequential ranks in order of occurrence.

serializeRealMatrix(RealMatrix, ObjectOutputStream) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Serialize a RealMatrix.

serializeRealVector(RealVector, ObjectOutputStream) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Serialize a RealVector.

set(double) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Set all elements to a single value.

set(double) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Set all elements to a single value.

set(double) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Set all elements to a single value.

set(int, int, T) - Method in class org.apache.commons.math4.legacy.field.linalg.FieldDenseMatrix

Sets an element.

set(int, ArrayFieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Set a set of consecutive elements.

set(T) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Set all elements to a single value.

set(T) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Set all elements to a single value.

set(T) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Set all elements to a single value.

setArity(int) - Method in class org.apache.commons.math4.legacy.genetics.TournamentSelection

Sets the arity (number of chromosomes drawn to the tournament).

setBiasCorrected(boolean) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance

Sets the biasCorrected property.

setBiasCorrected(boolean) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.StandardDeviation

setBiasCorrected(boolean) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

setColumn(int, double[]) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Sets the specified column of this matrix to the entries of the specified array.

setColumn(int, double[]) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Sets the specified column of this matrix to the entries of the specified array.

setColumn(int, double[]) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Sets the specified column of this matrix to the entries of the specified array.

setColumn(int, T[]) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Set the entries in column number column as a column matrix.

setColumn(int, T[]) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Set the entries in column number column as a column matrix.

setColumn(int, T[]) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Set the entries in column number column as a column matrix.

setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Set the entries in column number column as a column matrix.

setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Set the entries in column number column as a column matrix.

setColumnMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Set the entries in column number column as a column matrix.

setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Sets the specified column of this matrix to the entries of the specified column matrix.

setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Sets the specified column of this matrix to the entries of the specified column matrix.

setColumnMatrix(int, RealMatrix) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Sets the specified column of this matrix to the entries of the specified column matrix.

setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Set the entries in column number column as a vector.

setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Set the entries in column number column as a vector.

setColumnVector(int, FieldVector<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Set the entries in column number column as a vector.

setColumnVector(int, RealVector) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Sets the specified column of this matrix to the entries of the specified vector.

setColumnVector(int, RealVector) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Sets the specified column of this matrix to the entries of the specified vector.

setColumnVector(int, RealVector) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Sets the specified column of this matrix to the entries of the specified vector.

setCompleteState(double[]) - Method in class org.apache.commons.math4.legacy.ode.ExpandableStatefulODE

Set the complete current state.

setControlFactors(double, double, double, double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.GraggBulirschStoerIntegrator

Set the step size control factors.

setData(double[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.AbstractUnivariateStatistic

Set the data array.

setData(double[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Set the data array.

setData(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Set the data array.

setData(double[], double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Set the data and weights arrays.

setData(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.AbstractUnivariateStatistic

Set the data array.

setData(double[], int, int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Set the data array.

setElitismRate(double) - Method in class org.apache.commons.math4.legacy.genetics.ElitisticListPopulation

Sets the elitism rate, i.e.

setEntry(int, double) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Set a single element.

setEntry(int, double) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Set a single element.

setEntry(int, double) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Set a single element.

setEntry(int, int, double) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Set the entry in the specified row and column.

setEntry(int, int, double) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Set the entry in the specified row and column.

setEntry(int, int, double) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Set the entry in the specified row and column.

setEntry(int, int, double) - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Set the entry in the specified row and column.

setEntry(int, int, double) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealMatrix

Set the entry in the specified row and column.

setEntry(int, int, double) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Set the entry in the specified row and column.

setEntry(int, int, T) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Set the entry in the specified row and column.

setEntry(int, int, T) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Set the entry in the specified row and column.

setEntry(int, int, T) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Set the entry in the specified row and column.

setEntry(int, int, T) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Set the entry in the specified row and column.

setEntry(int, int, T) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldMatrix

Set the entry in the specified row and column.

setEntry(int, T) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Set a single element.

setEntry(int, T) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Set a single element.

setEntry(int, T) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Set a single element.

setEquations(ExpandableStatefulODE) - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Set the equations.

setExpandable(ExpandableStatefulODE) - Method in class org.apache.commons.math4.legacy.ode.events.EventState

Set the equation.

setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Sets the implementation for the geometric mean.

setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Sets the implementation for the geometric mean.

setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Sets the implementation for the geometric mean.

setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Sets the implementation for the geometric mean.

setGeometricMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Sets the implementation for the geometric mean.

setIEEEFlags(int) - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Sets the IEEE 854 status flags.

setIEEEFlagsBits(int) - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Sets some bits in the IEEE 854 status flags, without changing the already set bits.

setIndex(int) - Method in class org.apache.commons.math4.legacy.linear.RealVector.Entry

Set the index of the entry.

setInitialMainStateJacobian(double[][]) - Method in class org.apache.commons.math4.legacy.ode.JacobianMatrices

Set the initial value of the Jacobian matrix with respect to state.

setInitialParameterJacobian(String, double[]) - Method in class org.apache.commons.math4.legacy.ode.JacobianMatrices

Set the initial value of a column of the Jacobian matrix with respect to one parameter.

setInitialStepSize(double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeIntegrator

Set the initial step size.

setInitialStepSize(T) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeFieldIntegrator

Set the initial step size.

setInterpolatedTime(double) - Method in class org.apache.commons.math4.legacy.ode.ContinuousOutputModel

Set the time of the interpolated point.

setInterpolatedTime(double) - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Set the time of the interpolated point.

setInterpolatedTime(double) - Method in interface org.apache.commons.math4.legacy.ode.sampling.StepInterpolator

Set the time of the interpolated point.

setInterpolationControl(boolean, int) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.GraggBulirschStoerIntegrator

Set the interpolation order control parameter.

setIsLastStep(boolean) - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Set the last state flag.

setKurtosisImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Sets the implementation for the kurtosis.

setMaxEvaluations(int) - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Set the maximal number of differential equations function evaluations.

setMaxEvaluations(int) - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Set the maximal number of differential equations function evaluations.

setMaxEvaluations(int) - Method in interface org.apache.commons.math4.legacy.ode.FirstOrderFieldIntegrator

Set the maximal number of differential equations function evaluations.

setMaxEvaluations(int) - Method in interface org.apache.commons.math4.legacy.ode.ODEIntegrator

Set the maximal number of differential equations function evaluations.

setMaxGrowth(double) - Method in class org.apache.commons.math4.legacy.ode.MultistepFieldIntegrator

Set the maximal growth factor for stepsize control.

setMaxGrowth(double) - Method in class org.apache.commons.math4.legacy.ode.MultistepIntegrator

Set the maximal growth factor for stepsize control.

setMaxGrowth(double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Set the maximal growth factor for stepsize control.

setMaxGrowth(T) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator

Set the maximal growth factor for stepsize control.

setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Sets the implementation for the maximum.

setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Sets the implementation for the maximum.

setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Sets the implementation for the maximum.

setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Sets the implementation for the maximum.

setMaxImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Sets the implementation for the maximum.

setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Sets the implementation for the mean.

setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Sets the implementation for the mean.

setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Sets the implementation for the mean.

setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Sets the implementation for the mean.

setMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Sets the implementation for the mean.

setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Sets the implementation for the minimum.

setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Sets the implementation for the minimum.

setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Sets the implementation for the minimum.

setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Sets the implementation for the minimum.

setMinImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Sets the implementation for the minimum.

setMinReduction(double) - Method in class org.apache.commons.math4.legacy.ode.MultistepFieldIntegrator

Set the minimal reduction factor for stepsize control.

setMinReduction(double) - Method in class org.apache.commons.math4.legacy.ode.MultistepIntegrator

Set the minimal reduction factor for stepsize control.

setMinReduction(double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Set the minimal reduction factor for stepsize control.

setMinReduction(T) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator

Set the minimal reduction factor for stepsize control.

setNoIntercept(boolean) - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

setOrderControl(int, double, double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.GraggBulirschStoerIntegrator

Set the order control parameters.

setParameter(String, double) - Method in interface org.apache.commons.math4.legacy.ode.ParameterizedODE

Set the value for a given parameter.

setParameterizedODE(ParameterizedODE) - Method in class org.apache.commons.math4.legacy.ode.JacobianMatrices

Set a parameter Jacobian provider.

setParameterStep(String, double) - Method in class org.apache.commons.math4.legacy.ode.JacobianMatrices

Set the step associated to a parameter in order to compute by finite difference the Jacobian matrix.

setPercentileImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Sets the implementation to be used by DescriptiveStatistics.getPercentile(double).

setPopulationLimit(int) - Method in class org.apache.commons.math4.legacy.genetics.ListPopulation

Sets the maximal population size.

setPrimaryState(double[]) - Method in class org.apache.commons.math4.legacy.ode.ExpandableStatefulODE

Set primary part of the current state.

setQuantile(double) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Sets the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).

setRandomGenerator(UniformRandomProvider) - Static method in class org.apache.commons.math4.legacy.genetics.GeneticAlgorithm

Set the (static) random generator.

setRoundingMode(RoundingMode) - Method in class org.apache.commons.math4.legacy.linear.BigReal

Sets the rounding mode for decimal divisions.

setRoundingMode(DfpField.RoundingMode) - Method in class org.apache.commons.math4.legacy.core.dfp.DfpField

Set the rounding mode.

setRow(int, double[]) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Sets the specified row of this matrix to the entries of the specified array.

setRow(int, double[]) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Sets the specified row of this matrix to the entries of the specified array.

setRow(int, double[]) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Sets the specified row of this matrix to the entries of the specified array.

setRow(int, double[]) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Sets the specified row of this matrix to the entries of the specified array.

setRow(int, T[]) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Set the entries in row number row as a row matrix.

setRow(int, T[]) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Set the entries in row number row as a row matrix.

setRow(int, T[]) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Set the entries in row number row as a row matrix.

setRowMatrix(int, BlockFieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Sets the entries in row number row as a row matrix.

setRowMatrix(int, BlockRealMatrix) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Sets the entries in row number row as a row matrix.

setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Set the entries in row number row as a row matrix.

setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Set the entries in row number row as a row matrix.

setRowMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Set the entries in row number row as a row matrix.

setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Sets the specified row of this matrix to the entries of the specified row matrix.

setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Sets the specified row of this matrix to the entries of the specified row matrix.

setRowMatrix(int, RealMatrix) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Sets the specified row of this matrix to the entries of the specified row matrix.

setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Set the entries in row number row as a vector.

setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Set the entries in row number row as a vector.

setRowVector(int, FieldVector<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Set the entries in row number row as a vector.

setRowVector(int, RealVector) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Sets the specified row of this matrix to the entries of the specified vector.

setRowVector(int, RealVector) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Sets the specified row of this matrix to the entries of the specified vector.

setRowVector(int, RealVector) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Sets the specified row of this matrix to the entries of the specified vector.

setSafety(double) - Method in class org.apache.commons.math4.legacy.ode.MultistepFieldIntegrator

Set the safety factor for stepsize control.

setSafety(double) - Method in class org.apache.commons.math4.legacy.ode.MultistepIntegrator

Set the safety factor for stepsize control.

setSafety(double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaIntegrator

Set the safety factor for stepsize control.

setSafety(T) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator

Set the safety factor for stepsize control.

setScale(int) - Method in class org.apache.commons.math4.legacy.linear.BigReal

Sets the scale for division operations.

setSecondaryState(int, double[]) - Method in class org.apache.commons.math4.legacy.ode.ExpandableStatefulODE

Set secondary part of the current state.

setSkewnessImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Sets the implementation for the skewness.

setSoftCurrentTime(double) - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Restrict step range to a limited part of the global step.

setSoftPreviousTime(double) - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Restrict step range to a limited part of the global step.

setStabilityCheck(boolean, int, int, double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.GraggBulirschStoerIntegrator

Set the stability check controls.

setStarterIntegrator(FirstOrderFieldIntegrator<T>) - Method in class org.apache.commons.math4.legacy.ode.MultistepFieldIntegrator

Set the starter integrator.

setStarterIntegrator(FirstOrderIntegrator) - Method in class org.apache.commons.math4.legacy.ode.MultistepIntegrator

Set the starter integrator.

setStateInitialized(boolean) - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Set the stateInitialized flag.

setStateInitialized(boolean) - Method in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Set the stateInitialized flag.

setStepSize(T) - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Set the current step size.

setStepSizeControl(double, double, double[], double[]) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeFieldIntegrator

Set the adaptive step size control parameters.

setStepSizeControl(double, double, double[], double[]) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeIntegrator

Set the adaptive step size control parameters.

setStepSizeControl(double, double, double, double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeFieldIntegrator

Set the adaptive step size control parameters.

setStepSizeControl(double, double, double, double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeIntegrator

Set the adaptive step size control parameters.

setStepStart(FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math4.legacy.ode.AbstractFieldIntegrator

Set current step start.

setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Replace the submatrix starting at row, column using data in the input subMatrix array.

setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Replace the submatrix starting at row, column using data in the input subMatrix array.

setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Replace the submatrix starting at row, column using data in the input subMatrix array.

setSubMatrix(double[][], int, int) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Replace the submatrix starting at row, column using data in the input subMatrix array.

setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Replace the submatrix starting at (row, column) using data in the input subMatrix array.

setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Replace the submatrix starting at (row, column) using data in the input subMatrix array.

setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Replace the submatrix starting at (row, column) using data in the input subMatrix array.

setSubMatrix(T[][], int, int) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Replace the submatrix starting at (row, column) using data in the input subMatrix array.

setSubVector(int, double[]) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Set a set of consecutive elements.

setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Set a set of consecutive elements.

setSubVector(int, FieldVector<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Set a set of consecutive elements.

setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Set a set of consecutive elements.

setSubVector(int, RealVector) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Set a sequence of consecutive elements.

setSubVector(int, RealVector) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Set a sequence of consecutive elements.

setSubVector(int, RealVector) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Set a sequence of consecutive elements.

setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Sets the implementation for the Sum.

setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Sets the implementation for the Sum.

setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Sets the implementation for the Sum.

setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Sets the implementation for the Sum.

setSumImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Sets the implementation for the sum.

setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.GeometricMean

Sets the implementation for the sum of logs.

setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Sets the implementation for the sum of logs.

setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Sets the implementation for the sum of logs.

setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Sets the implementation for the sum of logs.

setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Sets the implementation for the sum of logs.

setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Sets the implementation for the sum of squares.

setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Sets the implementation for the sum of squares.

setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Sets the implementation for the sum of squares.

setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Sets the implementation for the sum of squares.

setSumsqImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Sets the implementation for the sum of squares.

setTime(double) - Method in class org.apache.commons.math4.legacy.ode.ExpandableStatefulODE

Set current time.

setup(int, FUNC, double, double, double) - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Prepare for computation.

setup(int, UnivariateDifferentiableFunction, double, double, double) - Method in class org.apache.commons.math4.legacy.analysis.solvers.AbstractUnivariateDifferentiableSolver

Prepare for computation.

setup(int, PolynomialFunction, double, double, double) - Method in class org.apache.commons.math4.legacy.analysis.solvers.AbstractPolynomialSolver

Prepare for computation.

setup(int, UnivariateFunction, double, double) - Method in class org.apache.commons.math4.legacy.analysis.integration.BaseAbstractUnivariateIntegrator

Prepare for computation.

setValue(double) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector.OpenMapEntry

Set the value of the entry.

setValue(double) - Method in class org.apache.commons.math4.legacy.linear.RealVector.Entry

Set the value of the entry.

setValue(String, Object) - Method in class org.apache.commons.math4.legacy.exception.util.ExceptionContext

Sets the context (key, value) pair.

setVarianceDirection(SemiVariance.Direction) - Method in class org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance

Sets the variance direction.

setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Sets the implementation for the variance.

setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Sets the implementation for the variance.

setVarianceImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Sets the implementation for the variance.

setWindowSize(int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

WindowSize controls the number of values that contribute to the reported statistics.

setWindowSize(int) - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedDescriptiveStatistics

WindowSize controls the number of values that contribute to the reported statistics.

SHAPE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

shift() - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Shift one step forward.

shift(double[], double) - Static method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialsUtils

Compute the coefficients of the polynomial \(P_s(x)\) whose values at point x will be the same as the those from the original polynomial \(P(x)\) when computed at x + shift.

shiftLeft() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Shift the mantissa left, and adjust the exponent to compensate.

shiftRight() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Shift the mantissa right, and adjust the exponent to compensate.

Sigma - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar

Input sigma values define the initial coordinate-wise extent for sampling the solution space around the initial guess.

Sigma(double[]) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.Sigma

Sigmoid - Class in org.apache.commons.math4.legacy.analysis.function

Sigmoid function.

Sigmoid() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Sigmoid

Usual sigmoid function, where the lower asymptote is 0 and the higher asymptote is 1.

Sigmoid(double, double) - Constructor for class org.apache.commons.math4.legacy.analysis.function.Sigmoid

Sigmoid function.

Sigmoid.Parametric - Class in org.apache.commons.math4.legacy.analysis.function

Parametric function where the input array contains the parameters of the sigmoid function.

sign - Variable in class org.apache.commons.math4.legacy.core.dfp.Dfp

Sign bit: 1 for positive, -1 for negative.

SIGNIFICANCE_LEVEL - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

signum() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Compute the signum of the instance.

signum() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Compute the signum of the instance.

signum() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Compute the signum of the instance.

signum() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Compute the signum of the instance.

signum(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the signum of a number.

signum(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

signum(float) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the signum of a number.

signum(float) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

Signum - Class in org.apache.commons.math4.legacy.analysis.function

signum function.

Signum() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Signum

SIMPLE_MESSAGE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

SimpleBounds - Class in org.apache.commons.math4.legacy.optim

Simple optimization constraints: lower and upper bounds.

SimpleBounds(double[], double[]) - Constructor for class org.apache.commons.math4.legacy.optim.SimpleBounds

SimpleCurveFitter - Class in org.apache.commons.math4.legacy.fitting

Fits points to a user-defined function.

SimpleCurveFitter(ParametricUnivariateFunction, double[], SimpleCurveFitter.ParameterGuesser, int) - Constructor for class org.apache.commons.math4.legacy.fitting.SimpleCurveFitter

Constructor used by the factory methods.

SimpleCurveFitter.ParameterGuesser - Class in org.apache.commons.math4.legacy.fitting

Guesses the parameters.

SimplePointChecker<PAIR extends Pair<double[],? extends Object>> - Class in org.apache.commons.math4.legacy.optim

Simple implementation of the ConvergenceChecker interface using only point coordinates.

SimplePointChecker(double, double) - Constructor for class org.apache.commons.math4.legacy.optim.SimplePointChecker

Build an instance with specified thresholds.

SimplePointChecker(double, double, int) - Constructor for class org.apache.commons.math4.legacy.optim.SimplePointChecker

Builds an instance with specified thresholds.

SimpleRegression - Class in org.apache.commons.math4.legacy.stat.regression

Estimates an ordinary least squares regression model with one independent variable.

SimpleRegression() - Constructor for class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Create an empty SimpleRegression instance.

SimpleRegression(boolean) - Constructor for class org.apache.commons.math4.legacy.stat.regression.SimpleRegression

Create a SimpleRegression instance, specifying whether or not to estimate an intercept.

SimpleUnivariateValueChecker - Class in org.apache.commons.math4.legacy.optim.univariate

Simple implementation of the ConvergenceChecker interface that uses only objective function values.

SimpleUnivariateValueChecker(double, double) - Constructor for class org.apache.commons.math4.legacy.optim.univariate.SimpleUnivariateValueChecker

Build an instance with specified thresholds.

SimpleUnivariateValueChecker(double, double, int) - Constructor for class org.apache.commons.math4.legacy.optim.univariate.SimpleUnivariateValueChecker

Builds an instance with specified thresholds.

SimpleValueChecker - Class in org.apache.commons.math4.legacy.optim

Simple implementation of the ConvergenceChecker interface using only objective function values.

SimpleValueChecker(double, double) - Constructor for class org.apache.commons.math4.legacy.optim.SimpleValueChecker

Build an instance with specified thresholds.

SimpleValueChecker(double, double, int) - Constructor for class org.apache.commons.math4.legacy.optim.SimpleValueChecker

Builds an instance with specified thresholds.

SimpleVectorValueChecker - Class in org.apache.commons.math4.legacy.optim

Simple implementation of the ConvergenceChecker interface using only objective function values.

SimpleVectorValueChecker(double, double) - Constructor for class org.apache.commons.math4.legacy.optim.SimpleVectorValueChecker

Build an instance with specified thresholds.

SimpleVectorValueChecker(double, double, int) - Constructor for class org.apache.commons.math4.legacy.optim.SimpleVectorValueChecker

Builds an instance with specified tolerance thresholds and iteration count.

Simplex - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv

Represents a simplex.

SIMPLEX_NEED_ONE_POINT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

Simplex.TransformFactory - Interface in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv

Generator of simplex transform.

SimplexOptimizer - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv

This class implements simplex-based direct search optimization.

SimplexOptimizer(double, double) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.SimplexOptimizer

SimplexOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.SimplexOptimizer

SimplexOptimizer.Observer - Interface in org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv

Callback interface for updating caller's code with the current state of the optimization.

SimplexSolver - Class in org.apache.commons.math4.legacy.optim.linear

Solves a linear problem using the "Two-Phase Simplex" method.

SimplexSolver() - Constructor for class org.apache.commons.math4.legacy.optim.linear.SimplexSolver

Builds a simplex solver with default settings.

SimplexSolver(double) - Constructor for class org.apache.commons.math4.legacy.optim.linear.SimplexSolver

Builds a simplex solver with a specified accepted amount of error.

SimplexSolver(double, int) - Constructor for class org.apache.commons.math4.legacy.optim.linear.SimplexSolver

Builds a simplex solver with a specified accepted amount of error.

SimplexSolver(double, int, double) - Constructor for class org.apache.commons.math4.legacy.optim.linear.SimplexSolver

Builds a simplex solver with a specified accepted amount of error.

SimpsonIntegrator - Class in org.apache.commons.math4.legacy.analysis.integration

Implements Simpson's Rule for integration of real univariate functions.

SimpsonIntegrator() - Constructor for class org.apache.commons.math4.legacy.analysis.integration.SimpsonIntegrator

Construct an integrator with default settings.

SimpsonIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math4.legacy.analysis.integration.SimpsonIntegrator

Build a Simpson integrator with given accuracies and iterations counts.

SimpsonIntegrator(int, int) - Constructor for class org.apache.commons.math4.legacy.analysis.integration.SimpsonIntegrator

Build a Simpson integrator with given iteration counts.

SimulatedAnnealing - Class in org.apache.commons.math4.legacy.optim.nonlinear.scalar

Simulated annealing setup.

SimulatedAnnealing(int, double, double, SimulatedAnnealing.CoolingSchedule, UniformRandomProvider) - Constructor for class org.apache.commons.math4.legacy.optim.nonlinear.scalar.SimulatedAnnealing

SimulatedAnnealing.CoolingSchedule - Interface in org.apache.commons.math4.legacy.optim.nonlinear.scalar

Specifies the cooling schedule.

sin() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Sine operation.

sin() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Sine operation.

sin() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Sine operation.

sin() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Sine operation.

sin(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Sine function.

sin(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

sin(double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute sine of a derivative structure.

sin(Dfp) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

computes the sine of the argument.

Sin - Class in org.apache.commons.math4.legacy.analysis.function

Sine function.

Sin() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Sin

Sinc - Class in org.apache.commons.math4.legacy.analysis.function

Sinc function, defined by

Sinc() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Sinc

The sinc function, sin(x) / x.

Sinc(boolean) - Constructor for class org.apache.commons.math4.legacy.analysis.function.Sinc

Instantiates the sinc function.

singleStep(FirstOrderDifferentialEquations, double, double[], double) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.RungeKuttaIntegrator

Fast computation of a single step of ODE integration.

singleStep(FirstOrderFieldDifferentialEquations<T>, T, T[], T) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.RungeKuttaFieldIntegrator

Fast computation of a single step of ODE integration.

SINGULAR_MATRIX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

SINGULAR_OPERATOR - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

SingularMatrixException - Exception in org.apache.commons.math4.legacy.linear

Exception to be thrown when a non-singular matrix is expected.

SingularMatrixException() - Constructor for exception org.apache.commons.math4.legacy.linear.SingularMatrixException

Construct an exception.

SingularOperatorException - Exception in org.apache.commons.math4.legacy.linear

Exception to be thrown when trying to invert a singular operator.

SingularOperatorException() - Constructor for exception org.apache.commons.math4.legacy.linear.SingularOperatorException

Creates a new instance of this class.

SingularValueDecomposition - Class in org.apache.commons.math4.legacy.linear

Calculates the compact Singular Value Decomposition of a matrix.

SingularValueDecomposition(RealMatrix) - Constructor for class org.apache.commons.math4.legacy.linear.SingularValueDecomposition

Calculates the compact Singular Value Decomposition of the given matrix.

sinh() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Hyperbolic sine operation.

sinh() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Hyperbolic sine operation.

sinh() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Hyperbolic sine operation.

sinh() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Hyperbolic sine operation.

sinh(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the hyperbolic sine of a number.

sinh(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

sinh(double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute hyperbolic sine of a derivative structure.

Sinh - Class in org.apache.commons.math4.legacy.analysis.function

Hyperbolic sine function.

Sinh() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Sinh

sinInternal(Dfp[]) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

Computes sin(a) Used when {@code 0 < a < pi/4}.

size() - Method in class org.apache.commons.math4.legacy.core.IntegerSequence.Range

Gets the number of elements contained in the range.

SIZE_MISMATCH - Static variable in exception org.apache.commons.math4.neuralnet.internal.NeuralNetException

Error message for "size mismatch" condition.

Skewness - Class in org.apache.commons.math4.legacy.stat.descriptive.moment

Computes the skewness of the available values.

Skewness() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.Skewness

Constructs a Skewness.

Skewness(Skewness) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.Skewness

Copy constructor, creates a new Skewness identical to the original.

Skewness(ThirdMoment) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.Skewness

Constructs a Skewness with an external moment.

skipTo(int) - Method in class org.apache.commons.math4.legacy.random.HaltonSequenceGenerator

Skip to the i-th point in the Halton sequence.

skipTo(int) - Method in class org.apache.commons.math4.legacy.random.SobolSequenceGenerator

Skip to the i-th point in the Sobol sequence.

smooth(double[], double[]) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.LoessInterpolator

Compute a loess fit on the data at the original abscissae.

smooth(double[], double[], double[]) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.LoessInterpolator

Compute a weighted loess fit on the data at the original abscissae.

SmoothedDataHistogram - Class in org.apache.commons.math4.neuralnet.twod.util

Visualization of high-dimensional data projection on a 2D-map.

SmoothedDataHistogram(int, DistanceMeasure) - Constructor for class org.apache.commons.math4.neuralnet.twod.util.SmoothedDataHistogram

SNAN - Static variable in class org.apache.commons.math4.legacy.core.dfp.Dfp

Indicator value for signaling NaN.

SobolSequenceGenerator - Class in org.apache.commons.math4.legacy.random

Implementation of a Sobol sequence.

SobolSequenceGenerator(int) - Constructor for class org.apache.commons.math4.legacy.random.SobolSequenceGenerator

Construct a new Sobol sequence generator for the given space dimension.

SobolSequenceGenerator(int, InputStream) - Constructor for class org.apache.commons.math4.legacy.random.SobolSequenceGenerator

Construct a new Sobol sequence generator for the given space dimension with direction vectors loaded from the given stream.

SolutionCallback - Class in org.apache.commons.math4.legacy.optim.linear

A callback object that can be provided to a linear optimizer to keep track of the best solution found.

SolutionCallback() - Constructor for class org.apache.commons.math4.legacy.optim.linear.SolutionCallback

solve(int, FUNC, double) - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Solve for a zero in the vicinity of startValue.

solve(int, FUNC, double) - Method in interface org.apache.commons.math4.legacy.analysis.solvers.BaseUnivariateSolver

Solve for a zero in the vicinity of startValue.

solve(int, FUNC, double, double) - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Solve for a zero root in the given interval.

solve(int, FUNC, double, double) - Method in interface org.apache.commons.math4.legacy.analysis.solvers.BaseUnivariateSolver

Solve for a zero root in the given interval.

solve(int, FUNC, double, double, double) - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Solve for a zero in the given interval, start at startValue.

solve(int, FUNC, double, double, double) - Method in interface org.apache.commons.math4.legacy.analysis.solvers.BaseUnivariateSolver

Solve for a zero in the given interval, start at startValue.

solve(int, FUNC, double, double, double, AllowedSolution) - Method in interface org.apache.commons.math4.legacy.analysis.solvers.BracketedUnivariateSolver

Solve for a zero in the given interval, start at startValue.

solve(int, FUNC, double, double, AllowedSolution) - Method in interface org.apache.commons.math4.legacy.analysis.solvers.BracketedUnivariateSolver

Solve for a zero in the given interval.

solve(int, UnivariateDifferentiableFunction, double, double) - Method in class org.apache.commons.math4.legacy.analysis.solvers.NewtonRaphsonSolver

Find a zero near the midpoint of min and max.

solve(int, RealFieldUnivariateFunction<T>, T, T, AllowedSolution) - Method in interface org.apache.commons.math4.legacy.analysis.solvers.BracketedRealFieldUnivariateSolver

Solve for a zero in the given interval.

solve(int, RealFieldUnivariateFunction<T>, T, T, AllowedSolution) - Method in class org.apache.commons.math4.legacy.analysis.solvers.FieldBracketingNthOrderBrentSolver

Solve for a zero in the given interval.

solve(int, RealFieldUnivariateFunction<T>, T, T, T, AllowedSolution) - Method in interface org.apache.commons.math4.legacy.analysis.solvers.BracketedRealFieldUnivariateSolver

Solve for a zero in the given interval, start at startValue.

solve(int, RealFieldUnivariateFunction<T>, T, T, T, AllowedSolution) - Method in class org.apache.commons.math4.legacy.analysis.solvers.FieldBracketingNthOrderBrentSolver

Solve for a zero in the given interval, start at startValue.

solve(int, UnivariateFunction, double, double, double) - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseSecantSolver

Solve for a zero in the given interval, start at startValue.

solve(int, UnivariateFunction, double, double, double, AllowedSolution) - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseSecantSolver

Solve for a zero in the given interval, start at startValue.

solve(int, UnivariateFunction, double, double, double, AllowedSolution) - Method in class org.apache.commons.math4.legacy.analysis.solvers.BracketingNthOrderBrentSolver

Solve for a zero in the given interval, start at startValue.

solve(int, UnivariateFunction, double, double, AllowedSolution) - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseSecantSolver

Solve for a zero in the given interval.

solve(int, UnivariateFunction, double, double, AllowedSolution) - Method in class org.apache.commons.math4.legacy.analysis.solvers.BracketingNthOrderBrentSolver

Solve for a zero in the given interval.

solve(UnivariateFunction, double, double) - Static method in class org.apache.commons.math4.legacy.analysis.solvers.UnivariateSolverUtils

Convenience method to find a zero of a univariate real function.

solve(UnivariateFunction, double, double, double) - Static method in class org.apache.commons.math4.legacy.analysis.solvers.UnivariateSolverUtils

Convenience method to find a zero of a univariate real function.

solve(FieldDenseMatrix<T>) - Method in interface org.apache.commons.math4.legacy.field.linalg.FieldDecompositionSolver

Solves the linear equation A X = B.

solve(FieldMatrix<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldDecompositionSolver

Solve the linear equation A × X = B for matrices A.

solve(FieldVector<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldDecompositionSolver

Solve the linear equation A × X = B for matrices A.

solve(RealLinearOperator, RealLinearOperator, RealVector) - Method in class org.apache.commons.math4.legacy.linear.PreconditionedIterativeLinearSolver

Returns an estimate of the solution to the linear system A · x = b.

solve(RealLinearOperator, RealLinearOperator, RealVector) - Method in class org.apache.commons.math4.legacy.linear.SymmLQ

Returns an estimate of the solution to the linear system A · x = b.

solve(RealLinearOperator, RealLinearOperator, RealVector, boolean, double) - Method in class org.apache.commons.math4.legacy.linear.SymmLQ

Returns an estimate of the solution to the linear system (A - shift · I) · x = b.

solve(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.legacy.linear.PreconditionedIterativeLinearSolver

Returns an estimate of the solution to the linear system A · x = b.

solve(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.legacy.linear.SymmLQ

Returns an estimate of the solution to the linear system A · x = b.

solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math4.legacy.linear.IterativeLinearSolver

Returns an estimate of the solution to the linear system A · x = b.

solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math4.legacy.linear.PreconditionedIterativeLinearSolver

Returns an estimate of the solution to the linear system A · x = b.

solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math4.legacy.linear.SymmLQ

Returns an estimate of the solution to the linear system A · x = b.

solve(RealLinearOperator, RealVector, boolean, double) - Method in class org.apache.commons.math4.legacy.linear.SymmLQ

Returns the solution to the system (A - shift · I) · x = b.

solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.legacy.linear.IterativeLinearSolver

Returns an estimate of the solution to the linear system A · x = b.

solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.legacy.linear.PreconditionedIterativeLinearSolver

Returns an estimate of the solution to the linear system A · x = b.

solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.legacy.linear.SymmLQ

Returns an estimate of the solution to the linear system A · x = b.

solve(RealMatrix) - Method in interface org.apache.commons.math4.legacy.linear.DecompositionSolver

Solve the linear equation A × X = B for matrices A.

solve(RealMatrix, RealVector) - Method in enum org.apache.commons.math4.legacy.fitting.leastsquares.GaussNewtonOptimizer.Decomposition

Solve the linear least squares problem Jx=r.

solve(RealVector) - Method in interface org.apache.commons.math4.legacy.linear.DecompositionSolver

Solve the linear equation A × X = B for matrices A.

solveAllComplex(double[], double) - Method in class org.apache.commons.math4.legacy.analysis.solvers.LaguerreSolver

Find all complex roots for the polynomial with the given coefficients, starting from the given initial value.

solveComplex(double[], double) - Method in class org.apache.commons.math4.legacy.analysis.solvers.LaguerreSolver

Find a complex root for the polynomial with the given coefficients, starting from the given initial value.

solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.legacy.linear.ConjugateGradient

Returns an estimate of the solution to the linear system A · x = b.

solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.legacy.linear.PreconditionedIterativeLinearSolver

Returns an estimate of the solution to the linear system A · x = b.

solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.legacy.linear.SymmLQ

Returns an estimate of the solution to the linear system A · x = b.

solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector, boolean, double) - Method in class org.apache.commons.math4.legacy.linear.SymmLQ

Returns an estimate of the solution to the linear system (A - shift · I) · x = b.

solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.legacy.linear.IterativeLinearSolver

Returns an estimate of the solution to the linear system A · x = b.

solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.legacy.linear.PreconditionedIterativeLinearSolver

Returns an estimate of the solution to the linear system A · x = b.

solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.legacy.linear.SymmLQ

Returns an estimate of the solution to the linear system A · x = b.

solveInverseCumulativeProbability(double, int, int) - Method in class org.apache.commons.math4.legacy.distribution.AbstractIntegerDistribution

This is a utility function used by AbstractIntegerDistribution.inverseCumulativeProbability(double).

solveLowerTriangularSystem(RealMatrix, RealVector) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Solve a system of composed of a Lower Triangular Matrix RealMatrix.

solvePhase1(SimplexTableau) - Method in class org.apache.commons.math4.legacy.optim.linear.SimplexSolver

Solves Phase 1 of the Simplex method.

SOLVER_DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math4.legacy.distribution.AbstractRealDistribution

Default absolute accuracy for inverse cumulative computation.

solveUpperTriangularSystem(RealMatrix, RealVector) - Static method in class org.apache.commons.math4.legacy.linear.MatrixUtils

Solver a system composed of an Upper Triangular Matrix RealMatrix.

sortObservations(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math4.legacy.fitting.SimpleCurveFitter.ParameterGuesser

Sort the observations.

SparseEntryIterator() - Constructor for class org.apache.commons.math4.legacy.linear.RealVector.SparseEntryIterator

Simple constructor.

SparseFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math4.legacy.linear

Sparse matrix implementation based on an open addressed map.

SparseFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math4.legacy.linear.SparseFieldMatrix

Create a matrix with no data.

SparseFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math4.legacy.linear.SparseFieldMatrix

Create a new SparseFieldMatrix<T> with the supplied row and column dimensions.

SparseFieldMatrix(FieldMatrix<T>) - Constructor for class org.apache.commons.math4.legacy.linear.SparseFieldMatrix

Generic copy constructor.

SparseFieldMatrix(SparseFieldMatrix<T>) - Constructor for class org.apache.commons.math4.legacy.linear.SparseFieldMatrix

Copy constructor.

SparseFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math4.legacy.linear

This class implements the FieldVector interface with a OpenIntToFieldHashMap backing store.

SparseFieldVector(Field<T>) - Constructor for class org.apache.commons.math4.legacy.linear.SparseFieldVector

Build a 0-length vector.

SparseFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math4.legacy.linear.SparseFieldVector

Construct a vector of zeroes.

SparseFieldVector(Field<T>, int, int) - Constructor for class org.apache.commons.math4.legacy.linear.SparseFieldVector

Build a vector with known the sparseness (for advanced use only).

SparseFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math4.legacy.linear.SparseFieldVector

Create from a Field array.

SparseFieldVector(SparseFieldVector<T>) - Constructor for class org.apache.commons.math4.legacy.linear.SparseFieldVector

Copy constructor.

SparseFieldVector(SparseFieldVector<T>, int) - Constructor for class org.apache.commons.math4.legacy.linear.SparseFieldVector

Build a resized vector, for use with append.

SparseGradient - Class in org.apache.commons.math4.legacy.analysis.differentiation

First derivative computation with large number of variables.

sparseIterator() - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Create a sparse iterator over the vector, which may omit some entries.

sparseIterator() - Method in class org.apache.commons.math4.legacy.linear.RealVector

Create a sparse iterator over the vector, which may omit some entries.

SparseRealMatrix - Interface in org.apache.commons.math4.legacy.linear

Marker interface for RealMatrix implementations that require sparse backing storage

SparseRealVector - Class in org.apache.commons.math4.legacy.linear

Marker class for RealVectors that require sparse backing storage

SparseRealVector() - Constructor for class org.apache.commons.math4.legacy.linear.SparseRealVector

SpearmansCorrelation - Class in org.apache.commons.math4.legacy.stat.correlation

Spearman's rank correlation.

SpearmansCorrelation() - Constructor for class org.apache.commons.math4.legacy.stat.correlation.SpearmansCorrelation

Create a SpearmansCorrelation without data.

SpearmansCorrelation(RealMatrix) - Constructor for class org.apache.commons.math4.legacy.stat.correlation.SpearmansCorrelation

Create a SpearmansCorrelation from the given data matrix.

SpearmansCorrelation(RealMatrix, RankingAlgorithm) - Constructor for class org.apache.commons.math4.legacy.stat.correlation.SpearmansCorrelation

Create a SpearmansCorrelation with the given input data matrix and ranking algorithm.

SpearmansCorrelation(RankingAlgorithm) - Constructor for class org.apache.commons.math4.legacy.stat.correlation.SpearmansCorrelation

Create a SpearmansCorrelation with the given ranking algorithm.

SplineInterpolator - Class in org.apache.commons.math4.legacy.analysis.interpolation

Computes a natural (also known as "free", "unclamped") cubic spline interpolation for the data set.

SplineInterpolator() - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.SplineInterpolator

split(Dfp) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

Splits a Dfp into 2 Dfp's such that their sum is equal to the input Dfp.

split(DfpField, String) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

Breaks a string representation up into two dfp's.

splitDiv(Dfp[], Dfp[]) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

Divide two numbers that are split in to two pieces that are meant to be added together.

splitMult(Dfp[], Dfp[]) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

Multiply two numbers that are split in to two pieces that are meant to be added together.

splitPow(Dfp[], int) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

Raise a split base to the a power.

sqrt() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Square root.

sqrt() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Square root.

sqrt() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Compute the square root.

sqrt() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Square root.

sqrt() - Method in class org.apache.commons.math4.legacy.linear.JacobiPreconditioner

Returns the square root of this diagonal operator.

sqrt(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

Sqrt - Class in org.apache.commons.math4.legacy.analysis.function

Square-root function.

Sqrt() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Sqrt

SquareNeighbourhood - Enum in org.apache.commons.math4.neuralnet

Defines neighbourhood types.

STANDARD_DEVIATION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

StandardDeviation - Class in org.apache.commons.math4.legacy.stat.descriptive.moment

Computes the sample standard deviation.

StandardDeviation() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.StandardDeviation

Constructs a StandardDeviation.

StandardDeviation(boolean) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.StandardDeviation

Constructs a StandardDeviation with the specified value for the isBiasCorrected property.

StandardDeviation(boolean, SecondMoment) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.StandardDeviation

Constructs a StandardDeviation with the specified value for the isBiasCorrected property and the supplied external moment.

StandardDeviation(SecondMoment) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.StandardDeviation

Constructs a StandardDeviation from an external second moment.

StandardDeviation(StandardDeviation) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.StandardDeviation

Copy constructor, creates a new StandardDeviation identical to the original.

start(double[]) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresBuilder

Configure the initial guess.

start(double, double[], double) - Method in class org.apache.commons.math4.legacy.ode.MultistepIntegrator

Start the integration.

start(int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.FieldVectorChangingVisitor

Start visiting a vector.

start(int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.FieldVectorPreservingVisitor

Start visiting a vector.

start(int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.RealVectorChangingVisitor

Start visiting a vector.

start(int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.RealVectorPreservingVisitor

Start visiting a vector.

start(int, int, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.DefaultFieldMatrixChangingVisitor

Start visiting a matrix.

start(int, int, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.DefaultFieldMatrixPreservingVisitor

Start visiting a matrix.

start(int, int, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.DefaultRealMatrixChangingVisitor

Start visiting a matrix.

start(int, int, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.DefaultRealMatrixPreservingVisitor

Start visiting a matrix.

start(int, int, int, int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrixChangingVisitor

Start visiting a matrix.

start(int, int, int, int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrixPreservingVisitor

Start visiting a matrix.

start(int, int, int, int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrixChangingVisitor

Start visiting a matrix.

start(int, int, int, int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrixPreservingVisitor

Start visiting a matrix.

start(RealVector) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresBuilder

Configure the initial guess.

start(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math4.legacy.ode.MultistepFieldIntegrator

Start the integration.

START_POSITION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

stateVariation - Variable in class org.apache.commons.math4.legacy.ode.sampling.NordsieckStepInterpolator

State variation.

StatisticalMultivariateSummary - Interface in org.apache.commons.math4.legacy.stat.descriptive

Reporting interface for basic multivariate statistics.

StatisticalSummary - Interface in org.apache.commons.math4.legacy.stat.descriptive

Reporting interface for basic univariate statistics.

StatisticalSummaryValues - Class in org.apache.commons.math4.legacy.stat.descriptive

Value object representing the results of a univariate statistical summary.

StatisticalSummaryValues(double, double, long, double, double, double) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.StatisticalSummaryValues

Constructor.

StatUtils - Class in org.apache.commons.math4.legacy.stat

StatUtils provides static methods for computing statistics based on data stored in double[] arrays.

STD - org.apache.commons.math4.transform.FastCosineTransform.Norm

Should be passed to the constructor of FastCosineTransform to use the standard normalization convention.

STD - org.apache.commons.math4.transform.FastFourierTransform.Norm

Should be passed to the constructor of FastFourierTransform to use the standard normalization convention.

STD - org.apache.commons.math4.transform.FastSineTransform.Norm

Should be passed to the constructor of FastSineTransform to use the standard normalization convention.

stepAccepted(double, double[]) - Method in class org.apache.commons.math4.legacy.ode.events.EventState

Acknowledge the fact the step has been accepted by the integrator.

stepAccepted(FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math4.legacy.ode.events.FieldEventState

Acknowledge the fact the step has been accepted by the integrator.

StepFunction - Class in org.apache.commons.math4.legacy.analysis.function

Step function.

StepFunction(double[], double[]) - Constructor for class org.apache.commons.math4.legacy.analysis.function.StepFunction

Builds a step function from a list of arguments and the corresponding values.

StepHandler - Interface in org.apache.commons.math4.legacy.ode.sampling

This interface represents a handler that should be called after each successful step.

stepHandlers - Variable in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Step handler.

StepInterpolator - Interface in org.apache.commons.math4.legacy.ode.sampling

This interface represents an interpolator over the last step during an ODE integration.

StepNormalizer - Class in org.apache.commons.math4.legacy.ode.sampling

This class wraps an object implementing FixedStepHandler into a StepHandler.

StepNormalizer(double, FixedStepHandler) - Constructor for class org.apache.commons.math4.legacy.ode.sampling.StepNormalizer

Simple constructor.

StepNormalizer(double, FixedStepHandler, StepNormalizerBounds) - Constructor for class org.apache.commons.math4.legacy.ode.sampling.StepNormalizer

Simple constructor.

StepNormalizer(double, FixedStepHandler, StepNormalizerMode) - Constructor for class org.apache.commons.math4.legacy.ode.sampling.StepNormalizer

Simple constructor.

StepNormalizer(double, FixedStepHandler, StepNormalizerMode, StepNormalizerBounds) - Constructor for class org.apache.commons.math4.legacy.ode.sampling.StepNormalizer

Simple constructor.

StepNormalizerBounds - Enum in org.apache.commons.math4.legacy.ode.sampling

Step normalizer bounds settings.

StepNormalizerMode - Enum in org.apache.commons.math4.legacy.ode.sampling

Step normalizer modes.

stepSize - Variable in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Current stepsize.

stepStart - Variable in class org.apache.commons.math4.legacy.ode.AbstractIntegrator

Current step start time.

stop() - Method in class org.apache.commons.math4.legacy.ode.events.EventState

Check if the integration should be stopped at the end of the current step.

stop() - Method in class org.apache.commons.math4.legacy.ode.events.FieldEventState

Check if the integration should be stopped at the end of the current step.

STOP - org.apache.commons.math4.legacy.ode.events.Action

Stop indicator.

STOP - org.apache.commons.math4.legacy.ode.events.EventHandler.Action

Stop indicator.

StoppingCondition - Interface in org.apache.commons.math4.legacy.genetics

Algorithm used to determine when to stop evolution.

store(PointValuePair) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.MultiStartMultivariateOptimizer

Method that will be called in order to store each found optimum.

store(PAIR) - Method in class org.apache.commons.math4.legacy.optim.BaseMultiStartMultivariateOptimizer

Method that will be called in order to store each found optimum.

StorelessCovariance - Class in org.apache.commons.math4.legacy.stat.correlation

Covariance implementation that does not require input data to be stored in memory.

StorelessCovariance(int) - Constructor for class org.apache.commons.math4.legacy.stat.correlation.StorelessCovariance

Create a bias corrected covariance matrix with a given dimension.

StorelessCovariance(int, boolean) - Constructor for class org.apache.commons.math4.legacy.stat.correlation.StorelessCovariance

Create a covariance matrix with a given number of rows and columns and the indicated bias correction.

StorelessUnivariateStatistic - Interface in org.apache.commons.math4.legacy.stat.descriptive

Extends the definition of UnivariateStatistic with StorelessUnivariateStatistic.increment(double) and StorelessUnivariateStatistic.incrementAll(double[]) methods for adding values and updating internal state.

storeTime(double) - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Store the current step time.

strictlyNegative() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Check if instance is strictly less than 0.

strictlyPositive() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Check if instance is strictly greater than 0.

SUBARRAY_ENDS_AFTER_ARRAY_END - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

subtract(double) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

'-' operator.

subtract(double) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

'-' operator.

subtract(double) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

'-' operator.

subtract(double) - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

'-' operator.

subtract(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Perform subtraction of two derivative structures.

subtract(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Compute this - a.

subtract(SparseGradient) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Compute this - a.

subtract(PolynomialFunction) - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunction

Subtract a polynomial from the instance.

subtract(Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Subtract x from this.

subtract(FieldDenseMatrix<T>) - Method in class org.apache.commons.math4.legacy.field.linalg.FieldDenseMatrix

Subtraction.

subtract(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Subtract m from this matrix.

subtract(Array2DRowRealMatrix) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Returns this minus m.

subtract(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Compute this minus v.

subtract(BigReal) - Method in class org.apache.commons.math4.legacy.linear.BigReal

Compute this - a.

subtract(BlockFieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Compute this - m.

subtract(BlockRealMatrix) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Subtract m from this matrix.

subtract(DiagonalMatrix) - Method in class org.apache.commons.math4.legacy.linear.DiagonalMatrix

Returns this minus m.

subtract(FieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Subtract m from this matrix.

subtract(FieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Subtract m from this matrix.

subtract(FieldMatrix<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Subtract m from this matrix.

subtract(FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Compute this minus v.

subtract(FieldVector<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Compute this minus v.

subtract(FieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Compute this minus v.

subtract(OpenMapRealMatrix) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealMatrix

Subtract m from this matrix.

subtract(OpenMapRealVector) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Optimized method to subtract OpenMapRealVectors.

subtract(RealMatrix) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Returns this minus m.

subtract(RealMatrix) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Returns this minus m.

subtract(RealMatrix) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealMatrix

Returns this minus m.

subtract(RealMatrix) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Returns this minus m.

subtract(RealVector) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Subtract v from this vector.

subtract(RealVector) - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Subtract v from this vector.

subtract(RealVector) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Subtract v from this vector.

subtract(SparseFieldVector<T>) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Optimized method to compute this minus v.

subtract(T) - Method in interface org.apache.commons.math4.legacy.core.FieldElement

Compute this - a.

Subtract - Class in org.apache.commons.math4.legacy.analysis.function

Subtract the second operand from the first.

Subtract() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Subtract

subtractExact(int, int) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Subtract two numbers, detecting overflows.

subtractExact(int, int) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

subtractExact(long, long) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Subtract two numbers, detecting overflows.

subtractExact(long, long) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

sum(double[]) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the sum of the values in the input array, or Double.NaN if the array is empty.

sum(double[], int, int) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the sum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

Sum - Class in org.apache.commons.math4.legacy.stat.descriptive.summary

Returns the sum of the available values.

Sum() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.summary.Sum

Create a Sum instance.

Sum(Sum) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.summary.Sum

Copy constructor, creates a new Sum identical to the original.

sumDifference(double[], double[]) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the sum of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]).

sumLog(double[]) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the sum of the natural logs of the entries in the input array, or Double.NaN if the array is empty.

sumLog(double[], int, int) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the sum of the natural logs of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

SummaryStatistics - Class in org.apache.commons.math4.legacy.stat.descriptive

Computes summary statistics for a stream of data values added using the addValue method.

SummaryStatistics() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Construct a SummaryStatistics instance.

SummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

A copy constructor.

SumOfClusterVariances - Class in org.apache.commons.math4.legacy.ml.clustering.evaluation

Computes the sum of intra-cluster distance variances according to the formula:

SumOfClusterVariances(DistanceMeasure) - Constructor for class org.apache.commons.math4.legacy.ml.clustering.evaluation.SumOfClusterVariances

SumOfLogs - Class in org.apache.commons.math4.legacy.stat.descriptive.summary

Returns the sum of the natural logs for this collection of values.

SumOfLogs() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.summary.SumOfLogs

Create a SumOfLogs instance.

SumOfLogs(SumOfLogs) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.summary.SumOfLogs

Copy constructor, creates a new SumOfLogs identical to the original.

SumOfSquares - Class in org.apache.commons.math4.legacy.stat.descriptive.summary

Returns the sum of the squares of the available values.

SumOfSquares() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.summary.SumOfSquares

Create a SumOfSquares instance.

SumOfSquares(SumOfSquares) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.summary.SumOfSquares

Copy constructor, creates a new SumOfSquares identical to the original.

sumSq(double[]) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the sum of the squares of the entries in the input array, or Double.NaN if the array is empty.

sumSq(double[], int, int) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the sum of the squares of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

SVD - org.apache.commons.math4.legacy.fitting.leastsquares.GaussNewtonOptimizer.Decomposition

Solve the linear least squares problem using the SingularValueDecomposition.

SymmetricGaussIntegrator - Class in org.apache.commons.math4.legacy.analysis.integration.gauss

This class's implements integrate method assuming that the integral is symmetric about 0.

SymmetricGaussIntegrator(double[], double[]) - Constructor for class org.apache.commons.math4.legacy.analysis.integration.gauss.SymmetricGaussIntegrator

Creates an integrator from the given points and weights.

SymmetricGaussIntegrator(Pair<double[], double[]>) - Constructor for class org.apache.commons.math4.legacy.analysis.integration.gauss.SymmetricGaussIntegrator

Creates an integrator from the given pair of points (first element of the pair) and weights (second element of the pair.

SymmLQ - Class in org.apache.commons.math4.legacy.linear

Implementation of the SYMMLQ iterative linear solver proposed by Paige and Saunders (1975).

SymmLQ(int, double, boolean) - Constructor for class org.apache.commons.math4.legacy.linear.SymmLQ

Creates a new instance of this class, with default stopping criterion.

SymmLQ(IterationManager, double, boolean) - Constructor for class org.apache.commons.math4.legacy.linear.SymmLQ

Creates a new instance of this class, with default stopping criterion and custom iteration manager.

SynchronizedDescriptiveStatistics - Class in org.apache.commons.math4.legacy.stat.descriptive

Implementation of DescriptiveStatistics that is safe to use in a multithreaded environment.

SynchronizedDescriptiveStatistics() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedDescriptiveStatistics

Construct an instance with infinite window.

SynchronizedDescriptiveStatistics(int) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedDescriptiveStatistics

Construct an instance with finite window.

SynchronizedDescriptiveStatistics(SynchronizedDescriptiveStatistics) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedDescriptiveStatistics

A copy constructor.

SynchronizedMultivariateSummaryStatistics - Class in org.apache.commons.math4.legacy.stat.descriptive

Implementation of MultivariateSummaryStatistics that is safe to use in a multithreaded environment.

SynchronizedMultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Construct a SynchronizedMultivariateSummaryStatistics instance.

SynchronizedSummaryStatistics - Class in org.apache.commons.math4.legacy.stat.descriptive

Implementation of SummaryStatistics that is safe to use in a multithreaded environment.

SynchronizedSummaryStatistics() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Construct a SynchronizedSummaryStatistics instance.

SynchronizedSummaryStatistics(SynchronizedSummaryStatistics) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

A copy constructor.

T

t(double[], double[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

t(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Computes a 2-sample t statistic, without the hypothesis of equal subpopulation variances.

t(double, double[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

t(double, double[]) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Computes a t statistic given observed values and a comparison constant.

t(double, double, double, double) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Computes t test statistic for 1-sample t-test.

t(double, double, double, double, double, double) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Computes t test statistic for 2-sample t-test.

t(double, StatisticalSummary) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

t(double, StatisticalSummary) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Computes a t statistic to use in comparing the mean of the dataset described by sampleStats to mu.

t(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

t(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Computes a 2-sample t statistic, comparing the means of the datasets described by two StatisticalSummary instances, without the assumption of equal subpopulation variances.

tan() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Tangent operation.

tan() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Tangent operation.

tan() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Tangent operation.

tan() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Tangent operation.

tan(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Tangent function.

tan(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

tan(double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute tangent of a derivative structure.

tan(Dfp) - Static method in class org.apache.commons.math4.legacy.core.dfp.DfpMath

computes the tangent of the argument.

Tan - Class in org.apache.commons.math4.legacy.analysis.function

Tangent function.

Tan() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Tan

tanh() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Hyperbolic tangent operation.

tanh() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Hyperbolic tangent operation.

tanh() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Hyperbolic tangent operation.

tanh() - Method in interface org.apache.commons.math4.legacy.core.RealFieldElement

Hyperbolic tangent operation.

tanh(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute the hyperbolic tangent of a number.

tanh(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

tanh(double[], int, double[], int) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Compute hyperbolic tangent of a derivative structure.

Tanh - Class in org.apache.commons.math4.legacy.analysis.function

Hyperbolic tangent function.

Tanh() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Tanh

target(double[]) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresBuilder

Configure the observed data.

target(RealVector) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresBuilder

Configure the observed data.

taylor(double...) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Evaluate Taylor expansion a derivative structure.

taylor(double...) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Evaluate Taylor expansion of a sparse gradient.

taylor(double[], int, double...) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DSCompiler

Evaluate Taylor expansion of a derivative structure.

terminationPerformed(IterationEvent) - Method in interface org.apache.commons.math4.legacy.linear.IterationListener

Invoked after completion of the operations which occur after breaking out of the main iteration loop.

TheoreticalValuesFunction(ParametricUnivariateFunction, Collection<WeightedObservedPoint>) - Constructor for class org.apache.commons.math4.legacy.fitting.AbstractCurveFitter.TheoreticalValuesFunction

ThreeEighthesFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements the 3/8 fourth order Runge-Kutta integrator for Ordinary Differential Equations.

ThreeEighthesFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.ThreeEighthesFieldIntegrator

Simple constructor.

ThreeEighthesIntegrator - Class in org.apache.commons.math4.legacy.ode.nonstiff

This class implements the 3/8 fourth order Runge-Kutta integrator for Ordinary Differential Equations.

ThreeEighthesIntegrator(double) - Constructor for class org.apache.commons.math4.legacy.ode.nonstiff.ThreeEighthesIntegrator

Simple constructor.

TiesStrategy - Enum in org.apache.commons.math4.legacy.stat.ranking

Strategies for handling tied values in rank transformations.

toArray() - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Convert the vector to a T array.

toArray() - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Convert the vector to an array of doubles.

toArray() - Method in interface org.apache.commons.math4.legacy.linear.FieldVector

Convert the vector to a T array.

toArray() - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Convert the vector to an array of doubles.

toArray() - Method in class org.apache.commons.math4.legacy.linear.RealVector

Convert the vector to an array of doubles.

toArray() - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Convert the vector to a T array.

toBlocksLayout(double[][]) - Static method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Convert a data array from raw layout to blocks layout.

toBlocksLayout(T[][]) - Static method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Convert a data array from raw layout to blocks layout.

toDegrees() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Convert radians to degrees, with error of less than 0.5 ULP.

toDegrees() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Convert radians to degrees, with error of less than 0.5 ULP.

toDegrees(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Convert radians to degrees, with error of less than 0.5 ULP.

toDegrees(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

toDifferentiable(MultivariateFunction, MultivariateVectorFunction) - Static method in class org.apache.commons.math4.legacy.analysis.FunctionUtils

Convert regular functions to MultivariateDifferentiableFunction.

toDifferentiable(UnivariateFunction, UnivariateFunction...) - Static method in class org.apache.commons.math4.legacy.analysis.FunctionUtils

Convert regular functions to UnivariateDifferentiableFunction.

toDouble() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Convert the instance into a double.

toIntExact(long) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Convert a long to integer, detecting overflows.

toIntExact(long) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

Tolerance - Class in org.apache.commons.math4.legacy.optim

Default tolerances values.

Tolerance(double, double) - Constructor for class org.apache.commons.math4.legacy.optim.Tolerance

toList() - Method in class org.apache.commons.math4.legacy.fitting.WeightedObservedPoints

Gets a snapshot of the observed points.

TOO_LARGE - Static variable in exception org.apache.commons.math4.neuralnet.internal.NeuralNetException

Error message for "too large" condition.

TOO_LARGE_CUTOFF_SINGULAR_VALUE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

TOO_LARGE_TOURNAMENT_ARITY - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

TOO_MANY_ELEMENTS_TO_DISCARD_FROM_ARRAY - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

TOO_MANY_REGRESSORS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

TOO_SMALL - Static variable in exception org.apache.commons.math4.neuralnet.internal.NeuralNetException

Error message for "too small" condition.

TOO_SMALL_COST_RELATIVE_TOLERANCE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

TOO_SMALL_INTEGRATION_INTERVAL - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

TOO_SMALL_ORTHOGONALITY_TOLERANCE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

TOO_SMALL_PARAMETERS_RELATIVE_TOLERANCE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

TooManyEvaluationsException - Exception in org.apache.commons.math4.legacy.exception

Exception to be thrown when the maximal number of evaluations is exceeded.

TooManyEvaluationsException(Number) - Constructor for exception org.apache.commons.math4.legacy.exception.TooManyEvaluationsException

Construct the exception.

TooManyIterationsException - Exception in org.apache.commons.math4.legacy.exception

Exception to be thrown when the maximal number of iterations is exceeded.

TooManyIterationsException(Number) - Constructor for exception org.apache.commons.math4.legacy.exception.TooManyIterationsException

Construct the exception.

toRadians() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.DerivativeStructure

Convert degrees to radians, with error of less than 0.5 ULP.

toRadians() - Method in class org.apache.commons.math4.legacy.analysis.differentiation.SparseGradient

Convert degrees to radians, with error of less than 0.5 ULP.

toRadians(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Convert degrees to radians, with error of less than 0.5 ULP.

toRadians(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

toSplitDouble() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Convert the instance into a split double.

toString() - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunction

Returns a string representation of the polynomial.

toString() - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Get a string representation of the instance.

toString() - Method in class org.apache.commons.math4.legacy.core.Pair

toString() - Method in class org.apache.commons.math4.legacy.exception.util.DummyLocalizable

toString() - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.GaussNewtonOptimizer

toString() - Method in class org.apache.commons.math4.legacy.genetics.AbstractListChromosome

toString() - Method in class org.apache.commons.math4.legacy.genetics.ChromosomePair

toString() - Method in class org.apache.commons.math4.legacy.genetics.ListPopulation

toString() - Method in class org.apache.commons.math4.legacy.genetics.RandomKey

toString() - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Get a string representation for this matrix.

toString() - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Get a string representation for this matrix.

toString() - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

toString() - Method in class org.apache.commons.math4.legacy.ml.clustering.DoublePoint

toString() - Method in enum org.apache.commons.math4.legacy.optim.linear.Relationship

toString() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.HedarFukushimaTransform

toString() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.MultiDirectionalTransform

toString() - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.NelderMeadTransform

toString() - Method in class org.apache.commons.math4.legacy.optim.PointValuePair

toString() - Method in class org.apache.commons.math4.legacy.stat.descriptive.DescriptiveStatistics

Generates a text report displaying univariate statistics from values that have been added.

toString() - Method in class org.apache.commons.math4.legacy.stat.descriptive.MultivariateSummaryStatistics

Generates a text report displaying summary statistics from values that have been added.

toString() - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.PSquarePercentile

Returns a string containing the last observation, the current estimate of the quantile and all markers.

toString() - Method in class org.apache.commons.math4.legacy.stat.descriptive.StatisticalSummaryValues

Generates a text report displaying values of statistics.

toString() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SummaryStatistics

Generates a text report displaying summary statistics from values that have been added.

toString() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedDescriptiveStatistics

Generates a text report displaying univariate statistics from values that have been added.

toString() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedMultivariateSummaryStatistics

Generates a text report displaying summary statistics from values that have been added.

toString() - Method in class org.apache.commons.math4.legacy.stat.descriptive.SynchronizedSummaryStatistics

Generates a text report displaying summary statistics from values that have been added.

toString() - Method in class org.apache.commons.math4.legacy.stat.Frequency

Return a string representation of this frequency distribution.

toString() - Method in class org.apache.commons.math4.legacy.stat.interval.ConfidenceInterval

TournamentSelection - Class in org.apache.commons.math4.legacy.genetics

Tournament selection scheme.

TournamentSelection(int) - Constructor for class org.apache.commons.math4.legacy.genetics.TournamentSelection

Creates a new TournamentSelection instance.

transformInPlace(double[][]) - Method in class org.apache.commons.math4.transform.FastFourierTransform

Computes the standard transform of the data.

transpose() - Method in class org.apache.commons.math4.legacy.field.linalg.FieldDenseMatrix

Transposes this matrix.

transpose() - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Returns the transpose of this matrix.

transpose() - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Returns the transpose of this matrix.

transpose() - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Returns the transpose of this matrix.

transpose() - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Returns the transpose of this matrix.

transpose() - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Returns the transpose of this matrix.

transpose() - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Returns the transpose of this matrix.

trap(int, String, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Trap handler.

TrapezoidIntegrator - Class in org.apache.commons.math4.legacy.analysis.integration

Implements the Trapezoid Rule for integration of real univariate functions.

TrapezoidIntegrator() - Constructor for class org.apache.commons.math4.legacy.analysis.integration.TrapezoidIntegrator

Construct a trapezoid integrator with default settings.

TrapezoidIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math4.legacy.analysis.integration.TrapezoidIntegrator

Build a trapezoid integrator with given accuracies and iterations counts.

TrapezoidIntegrator(int, int) - Constructor for class org.apache.commons.math4.legacy.analysis.integration.TrapezoidIntegrator

Build a trapezoid integrator with given iteration counts.

TricubicInterpolatingFunction - Class in org.apache.commons.math4.legacy.analysis.interpolation

Function that implements the tricubic spline interpolation, as proposed in Tricubic interpolation in three dimensions
F.

TricubicInterpolatingFunction(double[], double[], double[], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][]) - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.TricubicInterpolatingFunction

TricubicInterpolator - Class in org.apache.commons.math4.legacy.analysis.interpolation

Generates a tricubic interpolating function.

TricubicInterpolator() - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.TricubicInterpolator

trigger(int) - Method in interface org.apache.commons.math4.legacy.core.IntegerSequence.Incrementor.MaxCountExceededCallback

Function called when the maximal count has been reached.

TRIGGER_ONLY_DECREASING_EVENTS - org.apache.commons.math4.legacy.ode.events.FilterType

Constant for triggering only decreasing events.

TRIGGER_ONLY_INCREASING_EVENTS - org.apache.commons.math4.legacy.ode.events.FilterType

Constant for triggering only increasing events.

TrivariateFunction - Interface in org.apache.commons.math4.legacy.analysis

An interface representing a trivariate real function.

TrivariateGridInterpolator - Interface in org.apache.commons.math4.legacy.analysis.interpolation

Interface representing a trivariate real interpolating function where the sample points must be specified on a regular grid.

trunc(DfpField.RoundingMode) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Does the integer conversions with the specified rounding.

TRUST_REGION_STEP_FAILED - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

tTest(double[], double[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

tTest(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays.

tTest(double[], double[], double) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

tTest(double[], double[], double) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha.

tTest(double, double[]) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

tTest(double, double[]) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the input array with the constant mu.

tTest(double, double[], double) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

tTest(double, double[], double) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which sample is drawn equals mu.

tTest(double, double, double, double) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Computes p-value for 2-sided, 1-sample t-test.

tTest(double, double, double, double, double, double) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Computes p-value for 2-sided, 2-sample t-test.

tTest(double, StatisticalSummary) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

tTest(double, StatisticalSummary) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the dataset described by sampleStats with the constant mu.

tTest(double, StatisticalSummary, double) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

tTest(double, StatisticalSummary, double) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which the dataset described by stats is drawn equals mu.

tTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

tTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances.

tTest(StatisticalSummary, StatisticalSummary, double) - Static method in class org.apache.commons.math4.legacy.stat.inference.InferenceTestUtils

tTest(StatisticalSummary, StatisticalSummary, double) - Method in class org.apache.commons.math4.legacy.stat.inference.TTest

Performs a two-sided t-test evaluating the null hypothesis that sampleStats1 and sampleStats2 describe datasets drawn from populations with the same mean, with significance level alpha.

TTest - Class in org.apache.commons.math4.legacy.stat.inference

An implementation for Student's t-tests.

TTest() - Constructor for class org.apache.commons.math4.legacy.stat.inference.TTest

TWO_OR_MORE_CATEGORIES_REQUIRED - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

TWO_OR_MORE_VALUES_IN_CATEGORY_REQUIRED - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

TWO_SIDED - org.apache.commons.math4.legacy.stat.inference.AlternativeHypothesis

Represents a two-sided test.

U

ulp(double) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute least significant bit (Unit in Last Position) for a number.

ulp(double) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

ulp(float) - Static method in class org.apache.commons.math4.core.jdkmath.AccurateMath

Compute least significant bit (Unit in Last Position) for a number.

ulp(float) - Static method in class org.apache.commons.math4.core.jdkmath.JdkMath

Ulp - Class in org.apache.commons.math4.legacy.analysis.function

ulp function.

Ulp() - Constructor for class org.apache.commons.math4.legacy.analysis.function.Ulp

UNABLE_TO_BRACKET_OPTIMUM_IN_LINE_SEARCH - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

UNABLE_TO_COMPUTE_COVARIANCE_SINGULAR_PROBLEM - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

UNABLE_TO_FIRST_GUESS_HARMONIC_COEFFICIENTS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

UNABLE_TO_ORTHOGONOLIZE_MATRIX - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

UNABLE_TO_PERFORM_QR_DECOMPOSITION_ON_JACOBIAN - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

UNABLE_TO_SOLVE_SINGULAR_PROBLEM - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

unbounded(int) - Static method in class org.apache.commons.math4.legacy.optim.SimpleBounds

Factory method that creates instance of this class that represents unbounded ranges.

UNBOUNDED_SOLUTION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

UnboundedSolutionException - Exception in org.apache.commons.math4.legacy.optim.linear

This class represents exceptions thrown by optimizers when a solution escapes to infinity.

UnboundedSolutionException() - Constructor for exception org.apache.commons.math4.legacy.optim.linear.UnboundedSolutionException

Simple constructor using a default message.

unboundedToBounded(double[]) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter

Maps an array from unbounded to bounded.

unequal(Dfp) - Method in class org.apache.commons.math4.legacy.core.dfp.Dfp

Check if instance is not equal to x.

UnifiedDistanceMatrix - Class in org.apache.commons.math4.neuralnet.twod.util

U-Matrix visualization of high-dimensional data projection.

UnifiedDistanceMatrix(DistanceMeasure) - Constructor for class org.apache.commons.math4.neuralnet.twod.util.UnifiedDistanceMatrix

uniform(UniformRandomProvider) - Method in class org.apache.commons.math4.legacy.random.CorrelatedVectorFactory

uniform(UniformRandomProvider, double, double) - Static method in class org.apache.commons.math4.neuralnet.FeatureInitializerFactory

Uniform sampling of the given range.

UniformCrossover<T> - Class in org.apache.commons.math4.legacy.genetics

Perform Uniform Crossover [UX] on the specified chromosomes.

UniformCrossover(double) - Constructor for class org.apache.commons.math4.legacy.genetics.UniformCrossover

Creates a new UniformCrossover policy using the given mixing ratio.

unique(double[]) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

Returns an array consisting of the unique values in data.

UNIT - org.apache.commons.math4.transform.FastFourierTransform.Norm

Should be passed to the constructor of FastFourierTransform to use the unitary normalization convention.

unitize() - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Converts this vector into a unit vector.

unitize() - Method in class org.apache.commons.math4.legacy.linear.RealVector

Converts this vector into a unit vector.

unitVector() - Method in class org.apache.commons.math4.legacy.linear.OpenMapRealVector

Creates a unit vector pointing in the direction of this vector.

unitVector() - Method in class org.apache.commons.math4.legacy.linear.RealVector

Creates a unit vector pointing in the direction of this vector.

UnivariateDifferentiableFunction - Interface in org.apache.commons.math4.legacy.analysis.differentiation

Interface for univariate functions derivatives.

UnivariateDifferentiableMatrixFunction - Interface in org.apache.commons.math4.legacy.analysis.differentiation

Extension of UnivariateMatrixFunction representing a univariate differentiable matrix function.

UnivariateDifferentiableSolver - Interface in org.apache.commons.math4.legacy.analysis.solvers

Interface for (univariate real) rootfinding algorithms.

UnivariateDifferentiableVectorFunction - Interface in org.apache.commons.math4.legacy.analysis.differentiation

Extension of UnivariateVectorFunction representing a univariate differentiable vectorial function.

UnivariateFunction - Interface in org.apache.commons.math4.legacy.analysis

An interface representing a univariate real function.

UnivariateFunctionDifferentiator - Interface in org.apache.commons.math4.legacy.analysis.differentiation

Interface defining the function differentiation operation.

UnivariateIntegrator - Interface in org.apache.commons.math4.legacy.analysis.integration

Interface for univariate real integration algorithms.

UnivariateInterpolator - Interface in org.apache.commons.math4.legacy.analysis.interpolation

Interface representing a univariate real interpolating function.

UnivariateMatrixFunction - Interface in org.apache.commons.math4.legacy.analysis

An interface representing a univariate matrix function.

UnivariateMatrixFunctionDifferentiator - Interface in org.apache.commons.math4.legacy.analysis.differentiation

Interface defining the function differentiation operation.

UnivariateObjectiveFunction - Class in org.apache.commons.math4.legacy.optim.univariate

Scalar function to be optimized.

UnivariateObjectiveFunction(UnivariateFunction) - Constructor for class org.apache.commons.math4.legacy.optim.univariate.UnivariateObjectiveFunction

UnivariateOptimizer - Class in org.apache.commons.math4.legacy.optim.univariate

Base class for a univariate scalar function optimizer.

UnivariateOptimizer(ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math4.legacy.optim.univariate.UnivariateOptimizer

UnivariatePeriodicInterpolator - Class in org.apache.commons.math4.legacy.analysis.interpolation

Adapter for classes implementing the UnivariateInterpolator interface.

UnivariatePeriodicInterpolator(UnivariateInterpolator, double) - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.UnivariatePeriodicInterpolator

Builds an interpolator.

UnivariatePeriodicInterpolator(UnivariateInterpolator, double, int) - Constructor for class org.apache.commons.math4.legacy.analysis.interpolation.UnivariatePeriodicInterpolator

Builds an interpolator.

UnivariatePointValuePair - Class in org.apache.commons.math4.legacy.optim.univariate

This class holds a point and the value of an objective function at this point.

UnivariatePointValuePair(double, double) - Constructor for class org.apache.commons.math4.legacy.optim.univariate.UnivariatePointValuePair

Build a point/objective function value pair.

UnivariateSolver - Interface in org.apache.commons.math4.legacy.analysis.solvers

Interface for (univariate real) root-finding algorithms.

UnivariateSolverUtils - Class in org.apache.commons.math4.legacy.analysis.solvers

Utility routines for UnivariateSolver objects.

UnivariateStatistic - Interface in org.apache.commons.math4.legacy.stat.descriptive

Base interface implemented by all statistics.

UnivariateVectorFunction - Interface in org.apache.commons.math4.legacy.analysis

An interface representing a univariate vectorial function.

UnivariateVectorFunctionDifferentiator - Interface in org.apache.commons.math4.legacy.analysis.differentiation

Interface defining the function differentiation operation.

UNKNOWN_MODE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

UNKNOWN_PARAMETER - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

UnknownParameterException - Exception in org.apache.commons.math4.legacy.ode

Exception to be thrown when a parameter is unknown.

UnknownParameterException(String) - Constructor for exception org.apache.commons.math4.legacy.ode.UnknownParameterException

Construct an exception from the unknown parameter.

unlimited() - Static method in class org.apache.commons.math4.legacy.optim.MaxEval

Factory method that creates instance of this class that represents a virtually unlimited number of evaluations.

unlimited() - Static method in class org.apache.commons.math4.legacy.optim.MaxIter

Factory method that creates instance of this class that represents a virtually unlimited number of iterations.

UNMATCHED_ODE_IN_EXPANDED_SET - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

unmodifiableRealVector(RealVector) - Static method in class org.apache.commons.math4.legacy.linear.RealVector

Returns an unmodifiable view of the specified vector.

UNPARSEABLE_3D_VECTOR - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

UNPARSEABLE_COMPLEX_NUMBER - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

UNPARSEABLE_REAL_VECTOR - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

UNSUPPORTED_EXPANSION_MODE - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

UNSUPPORTED_OPERATION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

UP - org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D.VerticalDirection

Row above the current row.

update(Simplex, boolean, int) - Method in interface org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv.SimplexOptimizer.Observer

Method called after each modification of the simplex.

update(Network, double[]) - Method in class org.apache.commons.math4.neuralnet.sofm.KohonenUpdateAction

Updates the network in response to the sample features.

update(Network, double[]) - Method in interface org.apache.commons.math4.neuralnet.UpdateAction

Updates the network in response to the sample features.

UpdateAction - Interface in org.apache.commons.math4.neuralnet

Describes how to update the network in response to a training sample.

updateHighOrderDerivativesPhase1(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsFieldIntegrator

Update the high order scaled derivatives for Adams integrators (phase 1).

updateHighOrderDerivativesPhase1(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsNordsieckFieldTransformer

Update the high order scaled derivatives for Adams integrators (phase 1).

updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsIntegrator

Update the high order scaled derivatives for Adams integrators (phase 1).

updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsNordsieckTransformer

Update the high order scaled derivatives for Adams integrators (phase 1).

updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsIntegrator

Update the high order scaled derivatives Adams integrators (phase 2).

updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsNordsieckTransformer

Update the high order scaled derivatives Adams integrators (phase 2).

updateHighOrderDerivativesPhase2(T[], T[], Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsFieldIntegrator

Update the high order scaled derivatives Adams integrators (phase 2).

updateHighOrderDerivativesPhase2(T[], T[], Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math4.legacy.ode.nonstiff.AdamsNordsieckFieldTransformer

Update the high order scaled derivatives Adams integrators (phase 2).

UpdatingMultipleLinearRegression - Interface in org.apache.commons.math4.legacy.stat.regression

An interface for regression models allowing for dynamic updating of the data.

UPSIDE - org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance.Direction

The UPSIDE Direction is used to specify that the observations above the.

UPSIDE_VARIANCE - Static variable in class org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance

The UPSIDE Direction is used to specify that the observations above the cutoff point will be used to calculate SemiVariance.

URL_CONTAINS_NO_DATA - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

USER_EXCEPTION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

V

validate(RealVector) - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.ParameterValidator

Validates the set of parameters.

validateCovarianceData(double[][], double[][]) - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

Validates that the x data and covariance matrix have the same number of rows and that the covariance matrix is square.

validateSampleData(double[][], double[]) - Method in class org.apache.commons.math4.legacy.stat.regression.AbstractMultipleLinearRegression

Validates sample data.

value() - Method in interface org.apache.commons.math4.neuralnet.FeatureInitializer

Selects the initial value.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Abs

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Acos

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Acosh

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Asin

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Asinh

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Atan

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Atanh

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Cbrt

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Ceil

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Constant

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Cos

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Cosh

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Exp

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Expm1

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Floor

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Gaussian

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.HarmonicOscillator

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Identity

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Inverse

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Log

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Log10

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Log1p

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Logistic

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Logit

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Minus

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Power

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Rint

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Sigmoid

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Signum

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Sin

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Sinc

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Sinh

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Sqrt

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.StepFunction

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Tan

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Tanh

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.function.Ulp

Compute the value of the function.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.HermiteInterpolator

Interpolate value at a specified abscissa.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunction

Compute the value of the function for the given argument.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunctionLagrangeForm

Calculate the function value at the given point.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunctionNewtonForm

Calculate the function value at the given point.

value(double) - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialSplineFunction

Compute the value for the function.

value(double) - Method in interface org.apache.commons.math4.legacy.analysis.UnivariateFunction

Compute the value of the function.

value(double) - Method in interface org.apache.commons.math4.legacy.analysis.UnivariateMatrixFunction

Compute the value for the function.

value(double) - Method in interface org.apache.commons.math4.legacy.analysis.UnivariateVectorFunction

Compute the value for the function.

value(double) - Method in class org.apache.commons.math4.legacy.special.BesselJ

Returns the value of the constructed Bessel function of the first kind, for the passed argument.

value(double[]) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.GradientFunction

Compute the value for the function at the given point.

value(double[]) - Method in class org.apache.commons.math4.legacy.analysis.differentiation.JacobianFunction

Compute the value for the function at the given point.

value(double[]) - Method in interface org.apache.commons.math4.legacy.analysis.MultivariateFunction

Compute the value for the function at the given point.

value(double[]) - Method in interface org.apache.commons.math4.legacy.analysis.MultivariateMatrixFunction

Compute the value for the function at the given point.

value(double[]) - Method in interface org.apache.commons.math4.legacy.analysis.MultivariateVectorFunction

Compute the value for the function at the given point.

value(double[]) - Method in class org.apache.commons.math4.legacy.optim.linear.LinearObjectiveFunction

Computes the value of the linear equation at the current point.

value(double[]) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.LeastSquaresConverter

Compute the value for the function at the given point.

value(double[]) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter

Compute the underlying function value from an unbounded point.

value(double[]) - Method in class org.apache.commons.math4.legacy.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter

Computes the underlying function value from an unbounded point.

value(double[], double[][], double[], double, double) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.InterpolatingMicrosphere

Estimate the value at the requested location.

value(double, double) - Method in interface org.apache.commons.math4.legacy.analysis.BivariateFunction

Compute the value for the function.

value(double, double) - Method in class org.apache.commons.math4.legacy.analysis.function.Add

Compute the value for the function.

value(double, double) - Method in class org.apache.commons.math4.legacy.analysis.function.Atan2

Compute the value for the function.

value(double, double) - Method in class org.apache.commons.math4.legacy.analysis.function.Divide

Compute the value for the function.

value(double, double) - Method in class org.apache.commons.math4.legacy.analysis.function.Max

Compute the value for the function.

value(double, double) - Method in class org.apache.commons.math4.legacy.analysis.function.Min

Compute the value for the function.

value(double, double) - Method in class org.apache.commons.math4.legacy.analysis.function.Multiply

Compute the value for the function.

value(double, double) - Method in class org.apache.commons.math4.legacy.analysis.function.Pow

Compute the value for the function.

value(double, double) - Method in class org.apache.commons.math4.legacy.analysis.function.Subtract

Compute the value for the function.

value(double, double) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.BicubicInterpolatingFunction

Compute the value for the function.

value(double, double) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction

Compute the value for the function.

value(double, double) - Static method in class org.apache.commons.math4.legacy.special.BesselJ

Returns the first Bessel function, \(J_{order}(x)\).

value(double, double...) - Method in class org.apache.commons.math4.legacy.analysis.function.Gaussian.Parametric

Computes the value of the Gaussian at x.

value(double, double...) - Method in class org.apache.commons.math4.legacy.analysis.function.HarmonicOscillator.Parametric

Computes the value of the harmonic oscillator at x.

value(double, double...) - Method in class org.apache.commons.math4.legacy.analysis.function.Logistic.Parametric

Computes the value of the sigmoid at x.

value(double, double...) - Method in class org.apache.commons.math4.legacy.analysis.function.Logit.Parametric

Computes the value of the logit at x.

value(double, double...) - Method in class org.apache.commons.math4.legacy.analysis.function.Sigmoid.Parametric

Computes the value of the sigmoid at x.

value(double, double...) - Method in interface org.apache.commons.math4.legacy.analysis.ParametricUnivariateFunction

Compute the value of the function.

value(double, double...) - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunction.Parametric

Compute the value of the function.

value(double, double, double) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.TricubicInterpolatingFunction

Compute the value for the function.

value(double, double, double) - Method in interface org.apache.commons.math4.legacy.analysis.TrivariateFunction

Compute the value for the function.

value(long) - Method in interface org.apache.commons.math4.neuralnet.sofm.LearningFactorFunction

Computes the learning rate at the current call.

value(long) - Method in interface org.apache.commons.math4.neuralnet.sofm.NeighbourhoodSizeFunction

Computes the neighbourhood size at the current call.

value(DerivativeStructure) - Method in interface org.apache.commons.math4.legacy.analysis.differentiation.UnivariateDifferentiableFunction

Simple mathematical function.

value(DerivativeStructure) - Method in interface org.apache.commons.math4.legacy.analysis.differentiation.UnivariateDifferentiableMatrixFunction

Compute the value for the function.

value(DerivativeStructure) - Method in interface org.apache.commons.math4.legacy.analysis.differentiation.UnivariateDifferentiableVectorFunction

Compute the value for the function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Acos

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Acosh

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Asin

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Asinh

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Atan

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Atanh

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Cbrt

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Constant

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Cos

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Cosh

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Exp

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Expm1

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Gaussian

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.HarmonicOscillator

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Identity

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Inverse

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Log

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Log10

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Log1p

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Logistic

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Logit

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Minus

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Power

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Sigmoid

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Sin

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Sinc

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Sinh

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Sqrt

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Tan

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.function.Tanh

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.HermiteInterpolator

Interpolate value at a specified abscissa.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunction

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunctionNewtonForm

Simple mathematical function.

value(DerivativeStructure) - Method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialSplineFunction

Simple mathematical function.

value(DerivativeStructure[]) - Method in interface org.apache.commons.math4.legacy.analysis.differentiation.MultivariateDifferentiableFunction

Compute the value for the function at the given point.

value(DerivativeStructure[]) - Method in interface org.apache.commons.math4.legacy.analysis.differentiation.MultivariateDifferentiableVectorFunction

Compute the value for the function at the given point.

value(RealVector) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.DifferentiatorVectorMultivariateJacobianFunction

Compute the function value and its Jacobian.

value(RealVector) - Method in interface org.apache.commons.math4.legacy.fitting.leastsquares.MultivariateJacobianFunction

Compute the function value and its Jacobian.

value(RealVector) - Method in class org.apache.commons.math4.legacy.optim.linear.LinearObjectiveFunction

Computes the value of the linear equation at the current point.

value(T) - Method in class org.apache.commons.math4.legacy.analysis.interpolation.FieldHermiteInterpolator

Interpolate value at a specified abscissa.

value(T) - Method in interface org.apache.commons.math4.legacy.analysis.RealFieldUnivariateFunction

Compute the value of the function.

ValueAndJacobianFunction - Interface in org.apache.commons.math4.legacy.fitting.leastsquares

A interface for functions that compute a vector of values and can compute their derivatives (Jacobian).

valueOf(String) - Static method in enum org.apache.commons.math4.core.jdkmath.JdkMath.Impl

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.analysis.solvers.AllowedSolution

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.analysis.solvers.BaseSecantSolver.Method

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.core.dfp.DfpField.RoundingMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.core.MathArrays.OrderDirection

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.exception.util.LocalizedFormats

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.fitting.leastsquares.GaussNewtonOptimizer.Decomposition

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.ode.events.Action

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.ode.events.EventHandler.Action

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.ode.events.FilterType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.ode.sampling.StepNormalizerBounds

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.ode.sampling.StepNormalizerMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.optim.linear.PivotSelectionRule

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.optim.linear.Relationship

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.optim.nonlinear.scalar.GoalType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance.Direction

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile.EstimationType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.stat.inference.AlternativeHypothesis

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.stat.ranking.NaNStrategy

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.legacy.stat.ranking.TiesStrategy

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.neuralnet.SquareNeighbourhood

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D.HorizontalDirection

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D.VerticalDirection

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.transform.FastCosineTransform.Norm

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.transform.FastFourierTransform.Norm

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.commons.math4.transform.FastSineTransform.Norm

Returns the enum constant of this type with the specified name.

values() - Static method in enum org.apache.commons.math4.core.jdkmath.JdkMath.Impl

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.analysis.solvers.AllowedSolution

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.analysis.solvers.BaseSecantSolver.Method

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.core.dfp.DfpField.RoundingMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.core.MathArrays.OrderDirection

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.exception.util.LocalizedFormats

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.fitting.leastsquares.GaussNewtonOptimizer.Decomposition

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.ode.events.Action

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.ode.events.EventHandler.Action

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.ode.events.FilterType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.ode.sampling.StepNormalizerBounds

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.ode.sampling.StepNormalizerMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.optim.linear.PivotSelectionRule

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.optim.linear.Relationship

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.optim.nonlinear.scalar.GoalType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.stat.descriptive.moment.SemiVariance.Direction

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile.EstimationType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.stat.inference.AlternativeHypothesis

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.stat.ranking.NaNStrategy

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.legacy.stat.ranking.TiesStrategy

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.neuralnet.SquareNeighbourhood

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D.HorizontalDirection

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.neuralnet.twod.NeuronSquareMesh2D.VerticalDirection

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.transform.FastCosineTransform.Norm

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.transform.FastFourierTransform.Norm

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.commons.math4.transform.FastSineTransform.Norm

Returns an array containing the constants of this enum type, in the order they are declared.

VALUES_ADDED_BEFORE_CONFIGURING_STATISTIC - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

valuesIterator() - Method in class org.apache.commons.math4.legacy.stat.Frequency

Returns an Iterator over the set of values that have been added.

variance(double[]) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the variance of the entries in the input array, or Double.NaN if the array is empty.

variance(double[], double) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the variance of the entries in the input array, using the precomputed mean value.

variance(double[], double, int, int) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.

variance(double[], int, int) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

Variance - Class in org.apache.commons.math4.legacy.stat.descriptive.moment

Computes the variance of the available values.

Variance() - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Constructs a Variance with default (true) isBiasCorrected property.

Variance(boolean) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Constructs a Variance with the specified isBiasCorrected property.

Variance(boolean, SecondMoment) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Constructs a Variance with the specified isBiasCorrected property and the supplied external second moment.

Variance(SecondMoment) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Constructs a Variance based on an external second moment.

Variance(Variance) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.Variance

Copy constructor, creates a new Variance identical to the original.

varianceDifference(double[], double[], double) - Static method in class org.apache.commons.math4.legacy.stat.StatUtils

Returns the variance of the (signed) differences between corresponding elements of the input arrays -- i.e., var(sample1[i] - sample2[i]).

vecAbsoluteTolerance - Variable in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeFieldIntegrator

Allowed absolute vectorial error.

vecAbsoluteTolerance - Variable in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeIntegrator

Allowed absolute vectorial error.

vecRelativeTolerance - Variable in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeFieldIntegrator

Allowed relative vectorial error.

vecRelativeTolerance - Variable in class org.apache.commons.math4.legacy.ode.nonstiff.AdaptiveStepsizeIntegrator

Allowed relative vectorial error.

VECTOR - Static variable in class org.apache.commons.math4.legacy.linear.ConjugateGradient

Key for the exception context.

VECTOR_LENGTH_MISMATCH - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

VECTOR_MUST_HAVE_AT_LEAST_ONE_ELEMENT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

VectorialCovariance - Class in org.apache.commons.math4.legacy.stat.descriptive.moment

Returns the covariance matrix of the available vectors.

VectorialCovariance(int, boolean) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.VectorialCovariance

Constructs a VectorialCovariance.

VectorialMean - Class in org.apache.commons.math4.legacy.stat.descriptive.moment

Returns the arithmetic mean of the available vectors.

VectorialMean(int) - Constructor for class org.apache.commons.math4.legacy.stat.descriptive.moment.VectorialMean

Constructs a VectorialMean.

verifyBracketing(double, double) - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Check that the endpoints specify an interval and the function takes opposite signs at the endpoints.

verifyBracketing(UnivariateFunction, double, double) - Static method in class org.apache.commons.math4.legacy.analysis.solvers.UnivariateSolverUtils

Check that the endpoints specify an interval and the end points bracket a root.

verifyInputArray(double[], double[]) - Static method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunctionNewtonForm

Verifies that the input arrays are valid.

verifyInterpolationArray(double[], double[], boolean) - Static method in class org.apache.commons.math4.legacy.analysis.polynomials.PolynomialFunctionLagrangeForm

Check that the interpolation arrays are valid.

verifyInterval(double, double) - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Check that the endpoints specify an interval.

verifyInterval(double, double) - Static method in class org.apache.commons.math4.legacy.analysis.solvers.UnivariateSolverUtils

Check that the endpoints specify an interval.

verifySequence(double, double, double) - Method in class org.apache.commons.math4.legacy.analysis.solvers.BaseAbstractUnivariateSolver

Check that lower < initial < upper.

verifySequence(double, double, double) - Static method in class org.apache.commons.math4.legacy.analysis.solvers.UnivariateSolverUtils

Check that lower < initial < upper.

verifyValues(double[], double[], int, int) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

This method is used to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.

verifyValues(double[], double[], int, int, boolean) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

This method is used to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.

verifyValues(double[], int, int) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

This method is used to verify that the input parameters designate a subarray of positive length.

verifyValues(double[], int, int, boolean) - Static method in class org.apache.commons.math4.legacy.core.MathArrays

This method is used to verify that the input parameters designate a subarray of positive length.

visit(int, double) - Method in interface org.apache.commons.math4.legacy.linear.RealVectorChangingVisitor

Visit one entry of the vector.

visit(int, double) - Method in interface org.apache.commons.math4.legacy.linear.RealVectorPreservingVisitor

Visit one entry of the vector.

visit(int, int, double) - Method in class org.apache.commons.math4.legacy.linear.DefaultRealMatrixChangingVisitor

Visit one matrix entry.

visit(int, int, double) - Method in class org.apache.commons.math4.legacy.linear.DefaultRealMatrixPreservingVisitor

Visit one matrix entry.

visit(int, int, double) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrixChangingVisitor

Visit one matrix entry.

visit(int, int, double) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrixPreservingVisitor

Visit one matrix entry.

visit(int, int, T) - Method in class org.apache.commons.math4.legacy.linear.DefaultFieldMatrixChangingVisitor

Visit one matrix entry.

visit(int, int, T) - Method in class org.apache.commons.math4.legacy.linear.DefaultFieldMatrixPreservingVisitor

Visit one matrix entry.

visit(int, int, T) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrixChangingVisitor

Visit one matrix entry.

visit(int, int, T) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrixPreservingVisitor

Visit one matrix entry.

visit(int, T) - Method in interface org.apache.commons.math4.legacy.linear.FieldVectorChangingVisitor

Visit one entry of the vector.

visit(int, T) - Method in interface org.apache.commons.math4.legacy.linear.FieldVectorPreservingVisitor

Visit one entry of the vector.

VON_NEUMANN - org.apache.commons.math4.neuralnet.SquareNeighbourhood

Von Neumann neighbourhood: in two dimensions, each (internal) neuron has four neighbours.

W

walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Visit (and possibly change) all matrix entries in column order.

walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Visit (and possibly change) all matrix entries in column order.

walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Visit (and possibly change) all matrix entries in column order.

walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Visit (and possibly change) some matrix entries in column order.

walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Visit (and possibly change) some matrix entries in column order.

walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Visit (and possibly change) some matrix entries in column order.

walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Visit (but don't change) all matrix entries in column order.

walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Visit (but don't change) all matrix entries in column order.

walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Visit (but don't change) all matrix entries in column order.

walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Visit (but don't change) some matrix entries in column order.

walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Visit (but don't change) some matrix entries in column order.

walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Visit (but don't change) some matrix entries in column order.

walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Visit (and possibly change) all matrix entries in column order.

walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Visit (and possibly change) all matrix entries in column order.

walkInColumnOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Visit (and possibly change) all matrix entries in column order.

walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Visit (and possibly change) some matrix entries in column order.

walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Visit (and possibly change) some matrix entries in column order.

walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Visit (and possibly change) some matrix entries in column order.

walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Visit (but don't change) all matrix entries in column order.

walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Visit (but don't change) all matrix entries in column order.

walkInColumnOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Visit (but don't change) all matrix entries in column order.

walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Visit (but don't change) some matrix entries in column order.

walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Visit (but don't change) some matrix entries in column order.

walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Visit (but don't change) some matrix entries in column order.

walkInDefaultOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Visits (and possibly alters) all entries of this vector in default order (increasing index).

walkInDefaultOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Visits (and possibly alters) all entries of this vector in default order (increasing index).

walkInDefaultOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Visits (and possibly alters) some entries of this vector in default order (increasing index).

walkInDefaultOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Visits (and possibly alters) some entries of this vector in default order (increasing index).

walkInDefaultOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Visits (but does not alter) all entries of this vector in default order (increasing index).

walkInDefaultOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Visits (but does not alter) all entries of this vector in default order (increasing index).

walkInDefaultOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Visits (but does not alter) some entries of this vector in default order (increasing index).

walkInDefaultOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Visits (but does not alter) some entries of this vector in default order (increasing index).

walkInDefaultOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Visits (and possibly alters) all entries of this vector in default order (increasing index).

walkInDefaultOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Visits (and possibly alters) all entries of this vector in default order (increasing index).

walkInDefaultOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Visits (and possibly alters) some entries of this vector in default order (increasing index).

walkInDefaultOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Visits (and possibly alters) some entries of this vector in default order (increasing index).

walkInDefaultOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Visits (but does not alter) all entries of this vector in default order (increasing index).

walkInDefaultOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Visits (but does not alter) all entries of this vector in default order (increasing index).

walkInDefaultOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Visits (but does not alter) some entries of this vector in default order (increasing index).

walkInDefaultOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Visits (but does not alter) some entries of this vector in default order (increasing index).

walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Visit (and possibly change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Visit (and possibly change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Visit (and possibly change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Visit (and possibly change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Visit (and possibly change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Visit (and possibly change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Visit (but don't change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Visit (but don't change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Visit (but don't change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Visit (but don't change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Visit (but don't change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Visit (but don't change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Visits (and possibly alters) all entries of this vector in optimized order.

walkInOptimizedOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Visits (and possibly alters) all entries of this vector in optimized order.

walkInOptimizedOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Visits (and possibly change) some entries of this vector in optimized order.

walkInOptimizedOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Visits (and possibly change) some entries of this vector in optimized order.

walkInOptimizedOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Visits (but does not alter) all entries of this vector in optimized order.

walkInOptimizedOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Visits (but does not alter) all entries of this vector in optimized order.

walkInOptimizedOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math4.legacy.linear.ArrayFieldVector

Visits (but does not alter) some entries of this vector in optimized order.

walkInOptimizedOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math4.legacy.linear.SparseFieldVector

Visits (but does not alter) some entries of this vector in optimized order.

walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Visit (and possibly change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Visit (and possibly change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Visit (and possibly change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Visit (and possibly change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Visit (and possibly change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Visit (and possibly change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Visit (but don't change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Visit (but don't change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Visit (but don't change) all matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Visit (but don't change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Visit (but don't change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Visit (but don't change) some matrix entries using the fastest possible order.

walkInOptimizedOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Visits (and possibly alters) all entries of this vector in optimized order.

walkInOptimizedOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Visits (and possibly alters) all entries of this vector in optimized order.

walkInOptimizedOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Visits (and possibly change) some entries of this vector in optimized order.

walkInOptimizedOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Visits (and possibly change) some entries of this vector in optimized order.

walkInOptimizedOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Visits (but does not alter) all entries of this vector in optimized order.

walkInOptimizedOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Visits (but does not alter) all entries of this vector in optimized order.

walkInOptimizedOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math4.legacy.linear.ArrayRealVector

Visits (but does not alter) some entries of this vector in optimized order.

walkInOptimizedOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math4.legacy.linear.RealVector

Visits (but does not alter) some entries of this vector in optimized order.

walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Visit (and possibly change) all matrix entries in row order.

walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Visit (and possibly change) all matrix entries in row order.

walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Visit (and possibly change) all matrix entries in row order.

walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Visit (and possibly change) all matrix entries in row order.

walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Visit (and possibly change) some matrix entries in row order.

walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Visit (and possibly change) some matrix entries in row order.

walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Visit (and possibly change) some matrix entries in row order.

walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Visit (and possibly change) some matrix entries in row order.

walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Visit (but don't change) all matrix entries in row order.

walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Visit (but don't change) all matrix entries in row order.

walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Visit (but don't change) all matrix entries in row order.

walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Visit (but don't change) all matrix entries in row order.

walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractFieldMatrix

Visit (but don't change) some matrix entries in row order.

walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowFieldMatrix

Visit (but don't change) some matrix entries in row order.

walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.BlockFieldMatrix

Visit (but don't change) some matrix entries in row order.

walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.FieldMatrix

Visit (but don't change) some matrix entries in row order.

walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Visit (and possibly change) all matrix entries in row order.

walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Visit (and possibly change) all matrix entries in row order.

walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Visit (and possibly change) all matrix entries in row order.

walkInRowOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Visit (and possibly change) all matrix entries in row order.

walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Visit (and possibly change) some matrix entries in row order.

walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Visit (and possibly change) some matrix entries in row order.

walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Visit (and possibly change) some matrix entries in row order.

walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Visit (and possibly change) some matrix entries in row order.

walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Visit (but don't change) all matrix entries in row order.

walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Visit (but don't change) all matrix entries in row order.

walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Visit (but don't change) all matrix entries in row order.

walkInRowOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Visit (but don't change) all matrix entries in row order.

walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.AbstractRealMatrix

Visit (but don't change) some matrix entries in row order.

walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.Array2DRowRealMatrix

Visit (but don't change) some matrix entries in row order.

walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.legacy.linear.BlockRealMatrix

Visit (but don't change) some matrix entries in row order.

walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math4.legacy.linear.RealMatrix

Visit (but don't change) some matrix entries in row order.

weight(RealMatrix) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresBuilder

Configure the weight matrix.

WEIGHT_AT_LEAST_ONE_NON_ZERO - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

weightDiagonal(LeastSquaresProblem, RealVector) - Static method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresFactory

Apply a diagonal weight matrix to the LeastSquaresProblem.

WeightedEvaluation - Interface in org.apache.commons.math4.legacy.stat.descriptive

Weighted evaluation for statistics.

WeightedObservedPoint - Class in org.apache.commons.math4.legacy.fitting

This class is a simple container for weighted observed point in curve fitting.

WeightedObservedPoint(double, double, double) - Constructor for class org.apache.commons.math4.legacy.fitting.WeightedObservedPoint

Simple constructor.

WeightedObservedPoints - Class in org.apache.commons.math4.legacy.fitting

Simple container for weighted observed points used in curve fitting algorithms.

WeightedObservedPoints() - Constructor for class org.apache.commons.math4.legacy.fitting.WeightedObservedPoints

weightMatrix(LeastSquaresProblem, RealMatrix) - Static method in class org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresFactory

Apply a dense weight matrix to the LeastSquaresProblem.

WHOLE_FORMAT - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

wilcoxonSignedRank(double[], double[]) - Method in class org.apache.commons.math4.legacy.stat.inference.WilcoxonSignedRankTest

Computes the Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.

wilcoxonSignedRankTest(double[], double[], boolean) - Method in class org.apache.commons.math4.legacy.stat.inference.WilcoxonSignedRankTest

Returns the observed significance level, or p-value, associated with a Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.

WilcoxonSignedRankTest - Class in org.apache.commons.math4.legacy.stat.inference

An implementation of the Wilcoxon signed-rank test.

WilcoxonSignedRankTest() - Constructor for class org.apache.commons.math4.legacy.stat.inference.WilcoxonSignedRankTest

Create a test instance where NaN's are left in place and ties get the average of applicable ranks.

WilcoxonSignedRankTest(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math4.legacy.stat.inference.WilcoxonSignedRankTest

Create a test instance using the given strategies for NaN's and ties.

WilsonScoreInterval - Class in org.apache.commons.math4.legacy.stat.interval

Implements the Wilson score method for creating a binomial proportion confidence interval.

WilsonScoreInterval() - Constructor for class org.apache.commons.math4.legacy.stat.interval.WilsonScoreInterval

withCallback(IntegerSequence.Incrementor.MaxCountExceededCallback) - Method in class org.apache.commons.math4.legacy.core.IntegerSequence.Incrementor

Creates a new instance with a given callback.

withCostRelativeTolerance(double) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LevenbergMarquardtOptimizer

withDecomposition(GaussNewtonOptimizer.Decomposition) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.GaussNewtonOptimizer

Configure the decomposition algorithm.

withEstimationType(Percentile.EstimationType) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Median

Build a new instance similar to the current one except for the estimation type.

withEstimationType(Percentile.EstimationType) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Build a new instance similar to the current one except for the estimation type.

withIncrement(int) - Method in class org.apache.commons.math4.legacy.core.IntegerSequence.Incrementor

Creates a new instance with a given increment.

withInitialStepBoundFactor(double) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LevenbergMarquardtOptimizer

withKthSelector(KthSelector) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Median

Build a new instance similar to the current one except for the kthSelector instance specifically set.

withKthSelector(KthSelector) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Build a new instance similar to the current one except for the kthSelector instance specifically set.

withMaximalCount(int) - Method in class org.apache.commons.math4.legacy.core.IntegerSequence.Incrementor

Creates a new instance with a given maximal count.

withMaxIterations(int) - Method in class org.apache.commons.math4.legacy.fitting.SimpleCurveFitter

Configure the maximum number of iterations.

withNaNStrategy(NaNStrategy) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Median

Build a new instance similar to the current one except for the NaN handling strategy.

withNaNStrategy(NaNStrategy) - Method in class org.apache.commons.math4.legacy.stat.descriptive.rank.Percentile

Build a new instance similar to the current one except for the NaN handling strategy.

withOrthoTolerance(double) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LevenbergMarquardtOptimizer

Modifies the given parameter.

withParameterRelativeTolerance(double) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LevenbergMarquardtOptimizer

withRankingThreshold(double) - Method in class org.apache.commons.math4.legacy.fitting.leastsquares.LevenbergMarquardtOptimizer

withStart(int) - Method in class org.apache.commons.math4.legacy.core.IntegerSequence.Incrementor

Creates a new instance with a given initial value.

withStartPoint(double[]) - Method in class org.apache.commons.math4.legacy.fitting.SimpleCurveFitter

Configure the start point (initial guess).

writeBaseExternal(ObjectOutput) - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

Save the base state of the instance.

writeExternal(ObjectOutput) - Method in class org.apache.commons.math4.legacy.ode.sampling.AbstractStepInterpolator

writeExternal(ObjectOutput) - Method in class org.apache.commons.math4.legacy.ode.sampling.NordsieckStepInterpolator

WRONG_BLOCK_LENGTH - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

WRONG_NUMBER_OF_POINTS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

Z

zero(Field<T>, int, int) - Static method in class org.apache.commons.math4.legacy.field.linalg.FieldDenseMatrix

Factory method.

ZERO - Static variable in class org.apache.commons.math4.legacy.linear.BigReal

A big real representing 0.

ZERO_DENOMINATOR - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ZERO_DENOMINATOR_IN_FRACTION - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ZERO_FRACTION_TO_DIVIDE_BY - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ZERO_NORM - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ZERO_NORM_FOR_ROTATION_AXIS - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ZERO_NORM_FOR_ROTATION_DEFINING_VECTOR - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ZERO_NOT_ALLOWED - org.apache.commons.math4.legacy.exception.util.LocalizedFormats

ZeroException - Exception in org.apache.commons.math4.legacy.exception

Exception to be thrown when zero is provided where it is not allowed.

ZeroException() - Constructor for exception org.apache.commons.math4.legacy.exception.ZeroException

Construct the exception.

ZeroException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.legacy.exception.ZeroException

Construct the exception with a specific context.

A B C D E F G H I J K L M N O P Q R S T U V W Z
All Classes All Packages