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A

abs() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
absolute value.
abs() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
absolute value.
Abs - Class in org.apache.commons.math4.analysis.function
Absolute value function.
Abs() - Constructor for class org.apache.commons.math4.analysis.function.Abs
 
abs() - Method in class org.apache.commons.math4.dfp.Dfp
Get the absolute value of instance.
abs() - Method in interface org.apache.commons.math4.RealFieldElement
absolute value.
abs() - Method in class org.apache.commons.math4.util.Decimal64
absolute value.
abs(int) - Static method in class org.apache.commons.math4.util.FastMath
Absolute value.
abs(long) - Static method in class org.apache.commons.math4.util.FastMath
Absolute value.
abs(float) - Static method in class org.apache.commons.math4.util.FastMath
Absolute value.
abs(double) - Static method in class org.apache.commons.math4.util.FastMath
Absolute value.
AbstractConvergenceChecker<PAIR> - Class in org.apache.commons.math4.optim
Base class for all convergence checker implementations.
AbstractConvergenceChecker(double, double) - Constructor for class org.apache.commons.math4.optim.AbstractConvergenceChecker
Build an instance with a specified thresholds.
AbstractCurveFitter - Class in org.apache.commons.math4.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.fitting.AbstractCurveFitter
 
AbstractCurveFitter.TheoreticalValuesFunction - Class in org.apache.commons.math4.fitting
Vector function for computing function theoretical values.
AbstractEvaluation - Class in org.apache.commons.math4.fitting.leastsquares
An implementation of LeastSquaresProblem.Evaluation that is designed for extension.
AbstractFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.ode
Base class managing common boilerplate for all integrators.
AbstractFieldIntegrator(Field<T>, String) - Constructor for class org.apache.commons.math4.ode.AbstractFieldIntegrator
Build an instance.
AbstractFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math4.linear
Basic implementation of FieldMatrix methods regardless of the underlying storage.
AbstractFieldMatrix() - Constructor for class org.apache.commons.math4.linear.AbstractFieldMatrix
Constructor for use with Serializable
AbstractFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math4.linear.AbstractFieldMatrix
Creates a matrix with no data
AbstractFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math4.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.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.ode.sampling.AbstractFieldStepInterpolator
Simple constructor.
AbstractIntegerDistribution - Class in org.apache.commons.math4.distribution
Base class for integer-valued discrete distributions.
AbstractIntegerDistribution() - Constructor for class org.apache.commons.math4.distribution.AbstractIntegerDistribution
 
AbstractIntegrator - Class in org.apache.commons.math4.ode
Base class managing common boilerplate for all integrators.
AbstractIntegrator(String) - Constructor for class org.apache.commons.math4.ode.AbstractIntegrator
Build an instance.
AbstractIntegrator() - Constructor for class org.apache.commons.math4.ode.AbstractIntegrator
Build an instance with a null name.
AbstractListChromosome<T> - Class in org.apache.commons.math4.genetics
Chromosome represented by an immutable list of a fixed length.
AbstractListChromosome(List<T>) - Constructor for class org.apache.commons.math4.genetics.AbstractListChromosome
Constructor, copying the input representation.
AbstractListChromosome(T[]) - Constructor for class org.apache.commons.math4.genetics.AbstractListChromosome
Constructor, copying the input representation.
AbstractListChromosome(List<T>, boolean) - Constructor for class org.apache.commons.math4.genetics.AbstractListChromosome
Constructor.
AbstractMultipleLinearRegression - Class in org.apache.commons.math4.stat.regression
Abstract base class for implementations of MultipleLinearRegression.
AbstractMultipleLinearRegression() - Constructor for class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression
 
AbstractMultivariateRealDistribution - Class in org.apache.commons.math4.distribution
Base class for multivariate probability distributions.
AbstractMultivariateRealDistribution(int) - Constructor for class org.apache.commons.math4.distribution.AbstractMultivariateRealDistribution
 
AbstractOptimizationProblem<PAIR> - Class in org.apache.commons.math4.optim
Base class for implementing optimization problems.
AbstractOptimizationProblem(int, int, ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math4.optim.AbstractOptimizationProblem
Create an AbstractOptimizationProblem from the given data.
AbstractParameterizable - Class in org.apache.commons.math4.ode
This abstract class provides boilerplate parameters list.
AbstractParameterizable(String...) - Constructor for class org.apache.commons.math4.ode.AbstractParameterizable
Simple constructor.
AbstractParameterizable(Collection<String>) - Constructor for class org.apache.commons.math4.ode.AbstractParameterizable
Simple constructor.
AbstractPolynomialSolver - Class in org.apache.commons.math4.analysis.solvers
Base class for solvers.
AbstractPolynomialSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.AbstractPolynomialSolver
Construct a solver with given absolute accuracy.
AbstractPolynomialSolver(double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.AbstractPolynomialSolver
Construct a solver with given accuracies.
AbstractPolynomialSolver(double, double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.AbstractPolynomialSolver
Construct a solver with given accuracies.
AbstractRealDistribution - Class in org.apache.commons.math4.distribution
Base class for probability distributions on the reals.
AbstractRealDistribution() - Constructor for class org.apache.commons.math4.distribution.AbstractRealDistribution
 
AbstractRealMatrix - Class in org.apache.commons.math4.linear
Basic implementation of RealMatrix methods regardless of the underlying storage.
AbstractRealMatrix() - Constructor for class org.apache.commons.math4.linear.AbstractRealMatrix
Creates a matrix with no data
AbstractRealMatrix(int, int) - Constructor for class org.apache.commons.math4.linear.AbstractRealMatrix
Create a new RealMatrix with the supplied row and column dimensions.
AbstractSimplex - Class in org.apache.commons.math4.optim.nonlinear.scalar.noderiv
This class implements the simplex concept.
AbstractSimplex(int) - Constructor for class org.apache.commons.math4.optim.nonlinear.scalar.noderiv.AbstractSimplex
Build a unit hypercube simplex.
AbstractSimplex(int, double) - Constructor for class org.apache.commons.math4.optim.nonlinear.scalar.noderiv.AbstractSimplex
Build a hypercube simplex with the given side length.
AbstractSimplex(double[]) - Constructor for class org.apache.commons.math4.optim.nonlinear.scalar.noderiv.AbstractSimplex
The start configuration for simplex is built from a box parallel to the canonical axes of the space.
AbstractSimplex(double[][]) - Constructor for class org.apache.commons.math4.optim.nonlinear.scalar.noderiv.AbstractSimplex
The real initial simplex will be set up by moving the reference simplex such that its first point is located at the start point of the optimization.
AbstractStepInterpolator - Class in org.apache.commons.math4.ode.sampling
This abstract class represents an interpolator over the last step during an ODE integration.
AbstractStepInterpolator() - Constructor for class org.apache.commons.math4.ode.sampling.AbstractStepInterpolator
Simple constructor.
AbstractStepInterpolator(double[], boolean, EquationsMapper, EquationsMapper[]) - Constructor for class org.apache.commons.math4.ode.sampling.AbstractStepInterpolator
Simple constructor.
AbstractStepInterpolator(AbstractStepInterpolator) - Constructor for class org.apache.commons.math4.ode.sampling.AbstractStepInterpolator
Copy constructor.
AbstractStorelessUnivariateStatistic - Class in org.apache.commons.math4.stat.descriptive
Abstract base class for implementations of the StorelessUnivariateStatistic interface.
AbstractStorelessUnivariateStatistic() - Constructor for class org.apache.commons.math4.stat.descriptive.AbstractStorelessUnivariateStatistic
 
AbstractUnivariateDifferentiableSolver - Class in org.apache.commons.math4.analysis.solvers
Provide a default implementation for several functions useful to generic solvers.
AbstractUnivariateDifferentiableSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.AbstractUnivariateDifferentiableSolver
Construct a solver with given absolute accuracy.
AbstractUnivariateDifferentiableSolver(double, double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.AbstractUnivariateDifferentiableSolver
Construct a solver with given accuracies.
AbstractUnivariateSolver - Class in org.apache.commons.math4.analysis.solvers
Base class for solvers.
AbstractUnivariateSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.AbstractUnivariateSolver
Construct a solver with given absolute accuracy.
AbstractUnivariateSolver(double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.AbstractUnivariateSolver
Construct a solver with given accuracies.
AbstractUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.AbstractUnivariateSolver
Construct a solver with given accuracies.
AbstractUnivariateStatistic - Class in org.apache.commons.math4.stat.descriptive
Abstract base class for implementations of the UnivariateStatistic interface.
AbstractUnivariateStatistic() - Constructor for class org.apache.commons.math4.stat.descriptive.AbstractUnivariateStatistic
 
accept(double, double, boolean, int) - Method in class org.apache.commons.math4.optim.nonlinear.scalar.SimulatedAnnealing
 
acceptStep(AbstractFieldStepInterpolator<T>, T) - Method in class org.apache.commons.math4.ode.AbstractFieldIntegrator
Accept a step, triggering events and step handlers.
acceptStep(AbstractStepInterpolator, double[], double[], double) - Method in class org.apache.commons.math4.ode.AbstractIntegrator
Accept a step, triggering events and step handlers.
acos() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Arc cosine operation.
acos(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler
Compute arc cosine of a derivative structure.
acos() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Arc cosine operation.
Acos - Class in org.apache.commons.math4.analysis.function
Arc-cosine function.
Acos() - Constructor for class org.apache.commons.math4.analysis.function.Acos
 
acos() - Method in class org.apache.commons.math4.dfp.Dfp
Arc cosine operation.
acos(Dfp) - Static method in class org.apache.commons.math4.dfp.DfpMath
computes the arc-cosine of the argument.
acos() - Method in interface org.apache.commons.math4.RealFieldElement
Arc cosine operation.
acos() - Method in class org.apache.commons.math4.util.Decimal64
Arc cosine operation.
acos(double) - Static method in class org.apache.commons.math4.util.FastMath
Compute the arc cosine of a number.
acosh() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Inverse hyperbolic cosine operation.
acosh(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler
Compute inverse hyperbolic cosine of a derivative structure.
acosh() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Inverse hyperbolic cosine operation.
Acosh - Class in org.apache.commons.math4.analysis.function
Hyperbolic arc-cosine function.
Acosh() - Constructor for class org.apache.commons.math4.analysis.function.Acosh
 
acosh() - Method in class org.apache.commons.math4.dfp.Dfp
Inverse hyperbolic cosine operation.
acosh() - Method in interface org.apache.commons.math4.RealFieldElement
Inverse hyperbolic cosine operation.
acosh() - Method in class org.apache.commons.math4.util.Decimal64
Inverse hyperbolic cosine operation.
acosh(double) - Static method in class org.apache.commons.math4.util.FastMath
Compute the inverse hyperbolic cosine of a number.
Action - Enum in org.apache.commons.math4.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.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.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.ode.nonstiff.AdamsBashforthFieldIntegrator
Build an Adams-Bashforth integrator with the given order and step control parameters.
AdamsBashforthIntegrator - Class in org.apache.commons.math4.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.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.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.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.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.ode.nonstiff.AdamsFieldIntegrator
Build an Adams integrator with the given order and step control parameters.
AdamsIntegrator - Class in org.apache.commons.math4.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.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.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.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.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.ode.nonstiff.AdamsMoultonFieldIntegrator
Build an Adams-Moulton integrator with the given order and error control parameters.
AdamsMoultonIntegrator - Class in org.apache.commons.math4.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.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.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.ode.nonstiff
Transformer to Nordsieck vectors for Adams integrators.
AdamsNordsieckTransformer - Class in org.apache.commons.math4.ode.nonstiff
Transformer to Nordsieck vectors for Adams integrators.
AdaptiveStepsizeFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.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.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.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
Build an integrator with the given stepsize bounds.
AdaptiveStepsizeIntegrator - Class in org.apache.commons.math4.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.ode.nonstiff.AdaptiveStepsizeIntegrator
Build an integrator with the given stepsize bounds.
AdaptiveStepsizeIntegrator(String, double, double, double[], double[]) - Constructor for class org.apache.commons.math4.ode.nonstiff.AdaptiveStepsizeIntegrator
Build an integrator with the given stepsize bounds.
add(double) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
'+' operator.
add(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Compute this + a.
add(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler
Perform addition of two derivative structures.
add(SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Compute this + a.
add(double) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
'+' operator.
Add - Class in org.apache.commons.math4.analysis.function
Add the two operands.
Add() - Constructor for class org.apache.commons.math4.analysis.function.Add
 
add(UnivariateFunction...) - Static method in class org.apache.commons.math4.analysis.FunctionUtils
Adds functions.
add(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math4.analysis.FunctionUtils
Adds functions.
add(double[], boolean) - Method in class org.apache.commons.math4.analysis.interpolation.InterpolatingMicrosphere
Replace i-th facet of the microsphere.
add(PolynomialFunction) - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction
Add a polynomial to the instance.
add(Dfp) - Method in class org.apache.commons.math4.dfp.Dfp
Add x to this.
add(double) - Method in class org.apache.commons.math4.dfp.Dfp
'+' operator.
add(FieldDenseMatrix<T>) - Method in class org.apache.commons.math4.field.linalg.FieldDenseMatrix
Addition.
add(T) - Method in interface org.apache.commons.math4.FieldElement
Compute this + a.
add(double, double) - Method in class org.apache.commons.math4.fitting.WeightedObservedPoints
Adds a point to the sample.
add(double, double, double) - Method in class org.apache.commons.math4.fitting.WeightedObservedPoints
Adds a point to the sample.
add(WeightedObservedPoint) - Method in class org.apache.commons.math4.fitting.WeightedObservedPoints
Adds a point to the sample.
add(FieldMatrix<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix
Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix
Returns the sum of this and m.
add(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix
Add m to this matrix.
add(Array2DRowRealMatrix) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix
Compute the sum of this and m.
add(FieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector
Compute the sum of this and v.
add(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector
Compute the sum of this and v.
add(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector
Compute the sum of this vector and v.
add(FieldMatrix<T>) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix
Compute the sum of this and m.
add(BlockFieldMatrix<T>) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix
Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math4.linear.BlockRealMatrix
Returns the sum of this and m.
add(BlockRealMatrix) - Method in class org.apache.commons.math4.linear.BlockRealMatrix
Compute the sum of this matrix and m.
add(DiagonalMatrix) - Method in class org.apache.commons.math4.linear.DiagonalMatrix
Compute the sum of this and m.
add(FieldMatrix<T>) - Method in interface org.apache.commons.math4.linear.FieldMatrix
Compute the sum of this and m.
add(FieldVector<T>) - Method in interface org.apache.commons.math4.linear.FieldVector
Compute the sum of this and v.
add(OpenMapRealMatrix) - Method in class org.apache.commons.math4.linear.OpenMapRealMatrix
Compute the sum of this matrix and m.
add(RealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector
Compute the sum of this vector and v.
add(OpenMapRealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector
Optimized method to add two OpenMapRealVectors.
add(RealMatrix) - Method in interface org.apache.commons.math4.linear.RealMatrix
Returns the sum of this and m.
add(RealVector) - Method in class org.apache.commons.math4.linear.RealVector
Compute the sum of this vector and v.
add(SparseFieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector
Optimized method to add sparse vectors.
add(FieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector
Compute the sum of this and v.
add(double) - Method in interface org.apache.commons.math4.RealFieldElement
'+' operator.
add(BigReal) - Method in class org.apache.commons.math4.util.BigReal
Compute this + a.
add(Decimal64) - Method in class org.apache.commons.math4.util.Decimal64
Compute this + a.
add(double) - Method in class org.apache.commons.math4.util.Decimal64
'+' operator.
addChromosome(Chromosome) - Method in class org.apache.commons.math4.genetics.ListPopulation
Add the given chromosome to the population.
addChromosome(Chromosome) - Method in interface org.apache.commons.math4.genetics.Population
Add the given chromosome to the population.
addChromosomes(Collection<Chromosome>) - Method in class org.apache.commons.math4.genetics.ListPopulation
Add a Collection of chromosomes to this Population.
addData(double, double) - Method in class org.apache.commons.math4.stat.regression.SimpleRegression
Adds the observation (x,y) to the regression data set.
addData(double[][]) - Method in class org.apache.commons.math4.stat.regression.SimpleRegression
Adds the observations represented by the elements in data.
addElement(double) - Method in interface org.apache.commons.math4.util.DoubleArray
Adds an element to the end of this expandable array
addElement(double) - Method in class org.apache.commons.math4.util.ResizableDoubleArray
Adds an element to the end of this expandable array.
addElementRolling(double) - Method in interface org.apache.commons.math4.util.DoubleArray
Adds an element to the end of the array and removes the first element in the array.
addElementRolling(double) - Method in class org.apache.commons.math4.util.ResizableDoubleArray
Adds an element to the end of the array and removes the first element in the array.
addElements(double[]) - Method in interface org.apache.commons.math4.util.DoubleArray
Adds elements to the end of this expandable array
addElements(double[]) - Method in class org.apache.commons.math4.util.ResizableDoubleArray
Adds several element to the end of this expandable array.
addEventHandler(FieldEventHandler<T>, double, double, int) - Method in class org.apache.commons.math4.ode.AbstractFieldIntegrator
Add an event handler to the integrator.
addEventHandler(FieldEventHandler<T>, double, double, int, BracketedRealFieldUnivariateSolver<T>) - Method in class org.apache.commons.math4.ode.AbstractFieldIntegrator
Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math4.ode.AbstractIntegrator
Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in class org.apache.commons.math4.ode.AbstractIntegrator
Add an event handler to the integrator.
addEventHandler(FieldEventHandler<T>, double, double, int) - Method in interface org.apache.commons.math4.ode.FirstOrderFieldIntegrator
Add an event handler to the integrator.
addEventHandler(FieldEventHandler<T>, double, double, int, BracketedRealFieldUnivariateSolver<T>) - Method in interface org.apache.commons.math4.ode.FirstOrderFieldIntegrator
Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in class org.apache.commons.math4.ode.nonstiff.GraggBulirschStoerIntegrator
Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int) - Method in interface org.apache.commons.math4.ode.ODEIntegrator
Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in interface org.apache.commons.math4.ode.ODEIntegrator
Add an event handler to the integrator.
addExact(int, int) - Static method in class org.apache.commons.math4.util.FastMath
Add two numbers, detecting overflows.
addExact(long, long) - Static method in class org.apache.commons.math4.util.FastMath
Add two numbers, detecting overflows.
addInPlace(SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Add in place.
addIterationListener(IterationListener) - Method in class org.apache.commons.math4.util.IterationManager
Attaches a listener to this manager.
addLink(Neuron, Neuron) - Method in class org.apache.commons.math4.ml.neuralnet.Network
Adds a link from neuron a to neuron b.
addMessage(Localizable, Object...) - Method in class org.apache.commons.math4.exception.util.ExceptionContext
Adds a message.
addObservation(double[], double) - Method in class org.apache.commons.math4.stat.regression.MillerUpdatingRegression
Adds an observation to the regression model.
addObservation(double[], double) - Method in class org.apache.commons.math4.stat.regression.SimpleRegression
Adds one observation to the regression model.
addObservation(double[], double) - Method in interface org.apache.commons.math4.stat.regression.UpdatingMultipleLinearRegression
Adds one observation to the regression model.
addObservations(double[][], double[]) - Method in class org.apache.commons.math4.stat.regression.MillerUpdatingRegression
Adds multiple observations to the model.
addObservations(double[][], double[]) - Method in class org.apache.commons.math4.stat.regression.SimpleRegression
Adds a series of observations to the regression model.
addObservations(double[][], double[]) - Method in interface org.apache.commons.math4.stat.regression.UpdatingMultipleLinearRegression
Adds a series of observations to the regression model.
addParameterJacobianProvider(ParameterJacobianProvider) - Method in class org.apache.commons.math4.ode.JacobianMatrices
Add a parameter Jacobian provider.
addPoint(T) - Method in class org.apache.commons.math4.ml.clustering.Cluster
Add a point to this cluster.
addRule(Pair<T[], T[]>) - Method in class org.apache.commons.math4.analysis.integration.gauss.BaseRuleFactory
Stores a rule.
addSamplePoint(T, T[]...) - Method in class org.apache.commons.math4.analysis.interpolation.FieldHermiteInterpolator
Add a sample point.
addSamplePoint(double, double[]...) - Method in class org.apache.commons.math4.analysis.interpolation.HermiteInterpolator
Add a sample point.
addSecondaryEquations(SecondaryEquations) - Method in class org.apache.commons.math4.ode.ExpandableStatefulODE
Add a set of secondary equations to be integrated along with the primary set.
addSecondaryEquations(FieldSecondaryEquations<T>) - Method in class org.apache.commons.math4.ode.FieldExpandableODE
Add a set of secondary equations to be integrated along with the primary set.
addStepHandler(FieldStepHandler<T>) - Method in class org.apache.commons.math4.ode.AbstractFieldIntegrator
Add a step handler to this integrator.
addStepHandler(StepHandler) - Method in class org.apache.commons.math4.ode.AbstractIntegrator
Add a step handler to this integrator.
addStepHandler(FieldStepHandler<T>) - Method in interface org.apache.commons.math4.ode.FirstOrderFieldIntegrator
Add a step handler to this integrator.
addStepHandler(StepHandler) - Method in class org.apache.commons.math4.ode.nonstiff.GraggBulirschStoerIntegrator
Add a step handler to this integrator.
addStepHandler(StepHandler) - Method in interface org.apache.commons.math4.ode.ODEIntegrator
Add a step handler to this integrator.
addToEntry(int, int, T) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix
Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, int, T) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix
Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, double) - Method in class org.apache.commons.math4.linear.ArrayRealVector
Change an entry at the specified index.
addToEntry(int, int, T) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math4.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.linear.DiagonalMatrix
Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, int, T) - Method in interface org.apache.commons.math4.linear.FieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math4.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.linear.RealMatrix
Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, double) - Method in class org.apache.commons.math4.linear.RealVector
Change an entry at the specified index.
addToEntry(int, int, T) - Method in class org.apache.commons.math4.linear.SparseFieldMatrix
Change an entry in the specified row and column.
addValue(double) - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics
Adds the value to the dataset.
addValue(double[]) - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics
Add an n-tuple to the data
addValue(double) - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics
Add a value to the data
addValue(double) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics
Adds the value to the dataset.
addValue(double[]) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Add an n-tuple to the data
addValue(double) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics
Add a value to the data
addValue(T) - Method in class org.apache.commons.math4.stat.Frequency
Adds 1 to the frequency count for v.
advance(RealVector.Entry) - Method in class org.apache.commons.math4.linear.RealVector.SparseEntryIterator
Advance an entry up to the next nonzero one.
advance() - Method in class org.apache.commons.math4.util.OpenIntToDoubleHashMap.Iterator
Advance iterator one step further.
advance() - Method in class org.apache.commons.math4.util.OpenIntToFieldHashMap.Iterator
Advance iterator one step further.
aggregate(Collection<? extends StatisticalSummary>) - Static method in class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics
Computes aggregate summary statistics.
AggregateSummaryStatistics - Class in org.apache.commons.math4.stat.descriptive
An aggregator for SummaryStatistics from several data sets or data set partitions.
AggregateSummaryStatistics() - Constructor for class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics
Initializes a new AggregateSummaryStatistics with default statistics implementations.
AggregateSummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math4.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.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.stat.interval
Implements the Agresti-Coull method for creating a binomial proportion confidence interval.
AgrestiCoullInterval() - Constructor for class org.apache.commons.math4.stat.interval.AgrestiCoullInterval
 
AkimaSplineInterpolator - Class in org.apache.commons.math4.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.analysis.interpolation.AkimaSplineInterpolator
Uses the original Akima algorithm.
AkimaSplineInterpolator(boolean) - Constructor for class org.apache.commons.math4.analysis.interpolation.AkimaSplineInterpolator
 
align(int) - Method in class org.apache.commons.math4.dfp.Dfp
Make our exp equal to the supplied one, this may cause rounding.
AllowedSolution - Enum in org.apache.commons.math4.analysis.solvers
The kinds of solutions that a (bracketed univariate real) root-finding algorithm may accept as solutions.
AlternativeHypothesis - Enum in org.apache.commons.math4.stat.inference
Represents an alternative hypothesis for a hypothesis test.
anovaFValue(Collection<double[]>) - Method in class org.apache.commons.math4.stat.inference.OneWayAnova
Computes the ANOVA F-value for a collection of double[] arrays.
anovaPValue(Collection<double[]>) - Method in class org.apache.commons.math4.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.stat.inference.OneWayAnova
Computes the ANOVA P-value for a collection of SummaryStatistics.
anovaTest(Collection<double[]>, double) - Method in class org.apache.commons.math4.stat.inference.OneWayAnova
Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.
AnyMatrix - Interface in org.apache.commons.math4.linear
Interface defining very basic matrix operations.
append(FieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector
Construct a vector by appending a vector to this vector.
append(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector
Construct a vector by appending a vector to this vector.
append(T) - Method in class org.apache.commons.math4.linear.ArrayFieldVector
Construct a vector by appending a T to this vector.
append(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector
Construct a new vector by appending a vector to this vector.
append(ArrayRealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector
Construct a vector by appending a vector to this vector.
append(double) - Method in class org.apache.commons.math4.linear.ArrayRealVector
Construct a new vector by appending a double to this vector.
append(FieldVector<T>) - Method in interface org.apache.commons.math4.linear.FieldVector
Construct a vector by appending a vector to this vector.
append(T) - Method in interface org.apache.commons.math4.linear.FieldVector
Construct a vector by appending a T to this vector.
append(OpenMapRealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector
Optimized method to append a OpenMapRealVector.
append(RealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector
Construct a new vector by appending a vector to this vector.
append(double) - Method in class org.apache.commons.math4.linear.OpenMapRealVector
Construct a new vector by appending a double to this vector.
append(RealVector) - Method in class org.apache.commons.math4.linear.RealVector
Construct a new vector by appending a vector to this vector.
append(double) - Method in class org.apache.commons.math4.linear.RealVector
Construct a new vector by appending a double to this vector.
append(SparseFieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector
Construct a vector by appending a vector to this vector.
append(FieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector
Construct a vector by appending a vector to this vector.
append(T) - Method in class org.apache.commons.math4.linear.SparseFieldVector
Construct a vector by appending a T to this vector.
append(ContinuousOutputFieldModel<T>) - Method in class org.apache.commons.math4.ode.ContinuousOutputFieldModel
Append another model at the end of the instance.
append(ContinuousOutputModel) - Method in class org.apache.commons.math4.ode.ContinuousOutputModel
Append another model at the end of the instance.
append(StorelessCovariance) - Method in class org.apache.commons.math4.stat.correlation.StorelessCovariance
Appends sc to this, effectively aggregating the computations in sc with this.
append(SimpleRegression) - Method in class org.apache.commons.math4.stat.regression.SimpleRegression
Appends data from another regression calculation to this one.
apply(UnivariateStatistic) - Method in class org.apache.commons.math4.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.stat.descriptive.SynchronizedDescriptiveStatistics
Apply the given statistic to the data associated with this set of statistics.
approximateP(double, int, int) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
 
approximateP(double, int, int) - Method in class org.apache.commons.math4.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.
ArgUtils - Class in org.apache.commons.math4.exception.util
Utility class for transforming the list of arguments passed to constructors of exceptions.
Array2DRowFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math4.linear
Implementation of FieldMatrix<T> using a FieldElement[][] array to store entries.
Array2DRowFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math4.linear.Array2DRowFieldMatrix
Creates a matrix with no data
Array2DRowFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math4.linear.Array2DRowFieldMatrix
Create a new FieldMatrix<T> with the supplied row and column dimensions.
Array2DRowFieldMatrix(T[][]) - Constructor for class org.apache.commons.math4.linear.Array2DRowFieldMatrix
Create a new FieldMatrix<T> using the input array as the underlying data array.
Array2DRowFieldMatrix(Field<T>, T[][]) - Constructor for class org.apache.commons.math4.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.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.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.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.linear.Array2DRowFieldMatrix
Create a new (column) FieldMatrix<T> using v as the data for the unique column of the created matrix.
Array2DRowRealMatrix - Class in org.apache.commons.math4.linear
Implementation of RealMatrix using a double[][] array to store entries.
Array2DRowRealMatrix() - Constructor for class org.apache.commons.math4.linear.Array2DRowRealMatrix
Creates a matrix with no data
Array2DRowRealMatrix(int, int) - Constructor for class org.apache.commons.math4.linear.Array2DRowRealMatrix
Create a new RealMatrix with the supplied row and column dimensions.
Array2DRowRealMatrix(double[][]) - Constructor for class org.apache.commons.math4.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.linear.Array2DRowRealMatrix
Create a new RealMatrix using the input array as the underlying data array.
Array2DRowRealMatrix(double[]) - Constructor for class org.apache.commons.math4.linear.Array2DRowRealMatrix
Create a new (column) RealMatrix using v as the data for the unique column of the created matrix.
ArrayFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math4.linear
This class implements the FieldVector interface with a FieldElement array.
ArrayFieldVector(Field<T>) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector
Build a 0-length vector.
ArrayFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector
Construct a vector of zeroes.
ArrayFieldVector(int, T) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector
Construct a vector with preset values.
ArrayFieldVector(T[]) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector
Construct a vector from an array, copying the input array.
ArrayFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector
Construct a vector from an array, copying the input array.
ArrayFieldVector(T[], boolean) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector
Create a new ArrayFieldVector using the input array as the underlying data array.
ArrayFieldVector(Field<T>, T[], boolean) - Constructor for class org.apache.commons.math4.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.linear.ArrayFieldVector
Construct a vector from part of a array.
ArrayFieldVector(Field<T>, T[], int, int) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector
Construct a vector from part of a array.
ArrayFieldVector(FieldVector<T>) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector
Construct a vector from another vector, using a deep copy.
ArrayFieldVector(ArrayFieldVector<T>) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector
Construct a vector from another vector, using a deep copy.
ArrayFieldVector(ArrayFieldVector<T>, boolean) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector
Construct a vector from another vector.
ArrayFieldVector(FieldVector<T>, FieldVector<T>) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(FieldVector<T>, T[]) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(T[], FieldVector<T>) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(T[], T[]) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(Field<T>, T[], T[]) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayRealVector - Class in org.apache.commons.math4.linear
This class implements the RealVector interface with a double array.
ArrayRealVector() - Constructor for class org.apache.commons.math4.linear.ArrayRealVector
Build a 0-length vector.
ArrayRealVector(int) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector
Construct a vector of zeroes.
ArrayRealVector(int, double) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector
Construct a vector with preset values.
ArrayRealVector(double[]) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector
Construct a vector from an array, copying the input array.
ArrayRealVector(double[], boolean) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector
Create a new ArrayRealVector using the input array as the underlying data array.
ArrayRealVector(double[], int, int) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector
Construct a vector from part of a array.
ArrayRealVector(Double[]) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector
Construct a vector from an array.
ArrayRealVector(Double[], int, int) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector
Construct a vector from part of an array.
ArrayRealVector(RealVector) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector
Construct a vector from another vector, using a deep copy.
ArrayRealVector(ArrayRealVector) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector
Construct a vector from another vector, using a deep copy.
ArrayRealVector(ArrayRealVector, boolean) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector
Construct a vector from another vector.
ArrayRealVector(ArrayRealVector, ArrayRealVector) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(ArrayRealVector, RealVector) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(RealVector, ArrayRealVector) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(ArrayRealVector, double[]) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(double[], ArrayRealVector) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(double[], double[]) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
asin() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Arc sine operation.
asin(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler
Compute arc sine of a derivative structure.
asin() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Arc sine operation.
Asin - Class in org.apache.commons.math4.analysis.function
Arc-sine function.
Asin() - Constructor for class org.apache.commons.math4.analysis.function.Asin
 
asin() - Method in class org.apache.commons.math4.dfp.Dfp
Arc sine operation.
asin(Dfp) - Static method in class org.apache.commons.math4.dfp.DfpMath
computes the arc-sine of the argument.
asin() - Method in interface org.apache.commons.math4.RealFieldElement
Arc sine operation.
asin() - Method in class org.apache.commons.math4.util.Decimal64
Arc sine operation.
asin(double) - Static method in class org.apache.commons.math4.util.FastMath
Compute the arc sine of a number.
asinh() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Inverse hyperbolic sine operation.
asinh(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler
Compute inverse hyperbolic sine of a derivative structure.
asinh() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Inverse hyperbolic sine operation.
Asinh - Class in org.apache.commons.math4.analysis.function
Hyperbolic arc-sine function.
Asinh() - Constructor for class org.apache.commons.math4.analysis.function.Asinh
 
asinh() - Method in class org.apache.commons.math4.dfp.Dfp
Inverse hyperbolic sine operation.
asinh() - Method in interface org.apache.commons.math4.RealFieldElement
Inverse hyperbolic sine operation.
asinh() - Method in class org.apache.commons.math4.util.Decimal64
Inverse hyperbolic sine operation.
asinh(double) - Static method in class org.apache.commons.math4.util.FastMath
Compute the inverse hyperbolic sine of a number.
asUniformRandomProvider(Random) - Static method in class org.apache.commons.math4.random.RandomUtils
Wraps a Random instance.
atan() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Arc tangent operation.
atan(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler
Compute arc tangent of a derivative structure.
atan() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Arc tangent operation.
Atan - Class in org.apache.commons.math4.analysis.function
Arc-tangent function.
Atan() - Constructor for class org.apache.commons.math4.analysis.function.Atan
 
atan() - Method in class org.apache.commons.math4.dfp.Dfp
Arc tangent operation.
atan(Dfp) - Static method in class org.apache.commons.math4.dfp.DfpMath
computes the arc tangent of the argument Uses the typical taylor series but may reduce arguments using the following identity tan(x+y) = (tan(x) + tan(y)) / (1 - tan(x)*tan(y)) since tan(PI/8) = sqrt(2)-1, atan(x) = atan( (x - sqrt(2) + 1) / (1+x*sqrt(2) - x) + PI/8.0
atan() - Method in interface org.apache.commons.math4.RealFieldElement
Arc tangent operation.
atan() - Method in class org.apache.commons.math4.util.Decimal64
Arc tangent operation.
atan(double) - Static method in class org.apache.commons.math4.util.FastMath
Arctangent function
atan2(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Two arguments arc tangent operation.
atan2(DerivativeStructure, DerivativeStructure) - Static method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Two arguments arc tangent operation.
atan2(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler
Compute two arguments arc tangent of a derivative structure.
atan2(SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Two arguments arc tangent operation.
atan2(SparseGradient, SparseGradient) - Static method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Two arguments arc tangent operation.
Atan2 - Class in org.apache.commons.math4.analysis.function
Arc-tangent function.
Atan2() - Constructor for class org.apache.commons.math4.analysis.function.Atan2
 
atan2(Dfp) - Method in class org.apache.commons.math4.dfp.Dfp
Two arguments arc tangent operation.
atan2(T) - Method in interface org.apache.commons.math4.RealFieldElement
Two arguments arc tangent operation.
atan2(Decimal64) - Method in class org.apache.commons.math4.util.Decimal64
Two arguments arc tangent operation.
atan2(double, double) - Static method in class org.apache.commons.math4.util.FastMath
Two arguments arctangent function
atanh() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Inverse hyperbolic tangent operation.
atanh(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler
Compute inverse hyperbolic tangent of a derivative structure.
atanh() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Inverse hyperbolic tangent operation.
Atanh - Class in org.apache.commons.math4.analysis.function
Hyperbolic arc-tangent function.
Atanh() - Constructor for class org.apache.commons.math4.analysis.function.Atanh
 
atanh() - Method in class org.apache.commons.math4.dfp.Dfp
Inverse hyperbolic tangent operation.
atanh() - Method in interface org.apache.commons.math4.RealFieldElement
Inverse hyperbolic tangent operation.
atanh() - Method in class org.apache.commons.math4.util.Decimal64
Inverse hyperbolic tangent operation.
atanh(double) - Static method in class org.apache.commons.math4.util.FastMath
Compute the inverse hyperbolic tangent of a number.
atanInternal(Dfp) - Static method in class org.apache.commons.math4.dfp.DfpMath
computes the arc-tangent of the argument.

B

BaseAbstractUnivariateIntegrator - Class in org.apache.commons.math4.analysis.integration
Provide a default implementation for several generic functions.
BaseAbstractUnivariateIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator
Construct an integrator with given accuracies and iteration counts.
BaseAbstractUnivariateIntegrator(double, double) - Constructor for class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator
Construct an integrator with given accuracies.
BaseAbstractUnivariateIntegrator(int, int) - Constructor for class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator
Construct an integrator with given iteration counts.
BaseAbstractUnivariateSolver<FUNC extends UnivariateFunction> - Class in org.apache.commons.math4.analysis.solvers
Provide a default implementation for several functions useful to generic solvers.
BaseAbstractUnivariateSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver
Construct a solver with given absolute accuracy.
BaseAbstractUnivariateSolver(double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver
Construct a solver with given accuracies.
BaseAbstractUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver
Construct a solver with given accuracies.
BaseMultiStartMultivariateOptimizer<PAIR> - Class in org.apache.commons.math4.optim
Base class multi-start optimizer for a multivariate function.
BaseMultiStartMultivariateOptimizer(BaseMultivariateOptimizer<PAIR>, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math4.optim.BaseMultiStartMultivariateOptimizer
Create a multi-start optimizer from a single-start optimizer.
BaseMultivariateOptimizer<PAIR> - Class in org.apache.commons.math4.optim
Base class for implementing optimizers for multivariate functions.
BaseMultivariateOptimizer(ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math4.optim.BaseMultivariateOptimizer
 
BaseOptimizer<PAIR> - Class in org.apache.commons.math4.optim
Base class for implementing optimizers.
BaseOptimizer(ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math4.optim.BaseOptimizer
 
BaseOptimizer(ConvergenceChecker<PAIR>, int, int) - Constructor for class org.apache.commons.math4.optim.BaseOptimizer
 
BaseRuleFactory<T extends Number> - Class in org.apache.commons.math4.analysis.integration.gauss
Base class for rules that determines the integration nodes and their weights.
BaseRuleFactory() - Constructor for class org.apache.commons.math4.analysis.integration.gauss.BaseRuleFactory
 
BaseSecantSolver - Class in org.apache.commons.math4.analysis.solvers
Base class for all bracketing Secant-based methods for root-finding (approximating a zero of a univariate real function).
BaseSecantSolver(double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math4.analysis.solvers.BaseSecantSolver
Construct a solver.
BaseSecantSolver(double, double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math4.analysis.solvers.BaseSecantSolver
Construct a solver.
BaseSecantSolver(double, double, double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math4.analysis.solvers.BaseSecantSolver
Construct a solver.
BaseSecantSolver.Method - Enum in org.apache.commons.math4.analysis.solvers
Secant-based root-finding methods.
BaseUnivariateSolver<FUNC extends UnivariateFunction> - Interface in org.apache.commons.math4.analysis.solvers
Interface for (univariate real) rootfinding algorithms.
BesselJ - Class in org.apache.commons.math4.special
This class provides computation methods related to Bessel functions of the first kind.
BesselJ(double) - Constructor for class org.apache.commons.math4.special.BesselJ
Create a new BesselJ with the given order.
BesselJ.BesselJResult - Class in org.apache.commons.math4.special
Encapsulates the results returned by BesselJ.rjBesl(double, double, int).
BesselJResult(double[], int) - Constructor for class org.apache.commons.math4.special.BesselJ.BesselJResult
Create a new BesselJResult with the given values and valid value count.
BicubicInterpolatingFunction - Class in org.apache.commons.math4.analysis.interpolation
Function that implements the bicubic spline interpolation.
BicubicInterpolatingFunction(double[], double[], double[][], double[][], double[][], double[][]) - Constructor for class org.apache.commons.math4.analysis.interpolation.BicubicInterpolatingFunction
 
BicubicInterpolator - Class in org.apache.commons.math4.analysis.interpolation
BicubicInterpolator() - Constructor for class org.apache.commons.math4.analysis.interpolation.BicubicInterpolator
 
bigDecimalValue() - Method in class org.apache.commons.math4.util.BigReal
Get the BigDecimal value corresponding to the instance.
BigReal - Class in org.apache.commons.math4.util
Arbitrary precision decimal number.
BigReal(BigDecimal) - Constructor for class org.apache.commons.math4.util.BigReal
Build an instance from a BigDecimal.
BigReal(BigInteger) - Constructor for class org.apache.commons.math4.util.BigReal
Build an instance from a BigInteger.
BigReal(BigInteger, int) - Constructor for class org.apache.commons.math4.util.BigReal
Build an instance from an unscaled BigInteger.
BigReal(BigInteger, int, MathContext) - Constructor for class org.apache.commons.math4.util.BigReal
Build an instance from an unscaled BigInteger.
BigReal(BigInteger, MathContext) - Constructor for class org.apache.commons.math4.util.BigReal
Build an instance from a BigInteger.
BigReal(char[]) - Constructor for class org.apache.commons.math4.util.BigReal
Build an instance from a characters representation.
BigReal(char[], int, int) - Constructor for class org.apache.commons.math4.util.BigReal
Build an instance from a characters representation.
BigReal(char[], int, int, MathContext) - Constructor for class org.apache.commons.math4.util.BigReal
Build an instance from a characters representation.
BigReal(char[], MathContext) - Constructor for class org.apache.commons.math4.util.BigReal
Build an instance from a characters representation.
BigReal(double) - Constructor for class org.apache.commons.math4.util.BigReal
Build an instance from a double.
BigReal(double, MathContext) - Constructor for class org.apache.commons.math4.util.BigReal
Build an instance from a double.
BigReal(int) - Constructor for class org.apache.commons.math4.util.BigReal
Build an instance from an int.
BigReal(int, MathContext) - Constructor for class org.apache.commons.math4.util.BigReal
Build an instance from an int.
BigReal(long) - Constructor for class org.apache.commons.math4.util.BigReal
Build an instance from a long.
BigReal(long, MathContext) - Constructor for class org.apache.commons.math4.util.BigReal
Build an instance from a long.
BigReal(String) - Constructor for class org.apache.commons.math4.util.BigReal
Build an instance from a String representation.
BigReal(String, MathContext) - Constructor for class org.apache.commons.math4.util.BigReal
Build an instance from a String representation.
BigRealField - Class in org.apache.commons.math4.util
Representation of real numbers with arbitrary precision field.
BinaryChromosome - Class in org.apache.commons.math4.genetics
Chromosome represented by a vector of 0s and 1s.
BinaryChromosome(List<Integer>) - Constructor for class org.apache.commons.math4.genetics.BinaryChromosome
Constructor.
BinaryChromosome(Integer[]) - Constructor for class org.apache.commons.math4.genetics.BinaryChromosome
Constructor.
BinaryMutation - Class in org.apache.commons.math4.genetics
Mutation for BinaryChromosomes.
BinaryMutation() - Constructor for class org.apache.commons.math4.genetics.BinaryMutation
 
BinomialConfidenceInterval - Interface in org.apache.commons.math4.stat.interval
Interface to generate confidence intervals for a binomial proportion.
BinomialTest - Class in org.apache.commons.math4.stat.inference
Implements binomial test statistics.
BinomialTest() - Constructor for class org.apache.commons.math4.stat.inference.BinomialTest
 
binomialTest(int, int, double, AlternativeHypothesis, double) - Method in class org.apache.commons.math4.stat.inference.BinomialTest
Returns whether the null hypothesis can be rejected with the given confidence level.
binomialTest(int, int, double, AlternativeHypothesis) - Method in class org.apache.commons.math4.stat.inference.BinomialTest
Returns the observed significance level, or p-value, associated with a Binomial test.
BisectionSolver - Class in org.apache.commons.math4.analysis.solvers
Implements the bisection algorithm for finding zeros of univariate real functions.
BisectionSolver() - Constructor for class org.apache.commons.math4.analysis.solvers.BisectionSolver
Construct a solver with default accuracy (1e-6).
BisectionSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.BisectionSolver
Construct a solver.
BisectionSolver(double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.BisectionSolver
Construct a solver.
BivariateFunction - Interface in org.apache.commons.math4.analysis
An interface representing a bivariate real function.
BivariateGridInterpolator - Interface in org.apache.commons.math4.analysis.interpolation
Interface representing a bivariate real interpolating function where the sample points must be specified on a regular grid.
BLOCK_SIZE - Static variable in class org.apache.commons.math4.linear.BlockFieldMatrix
Block size.
BLOCK_SIZE - Static variable in class org.apache.commons.math4.linear.BlockRealMatrix
Block size.
BlockFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math4.linear
Cache-friendly implementation of FieldMatrix using a flat arrays to store square blocks of the matrix.
BlockFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math4.linear.BlockFieldMatrix
Create a new matrix with the supplied row and column dimensions.
BlockFieldMatrix(T[][]) - Constructor for class org.apache.commons.math4.linear.BlockFieldMatrix
Create a new dense matrix copying entries from raw layout data.
BlockFieldMatrix(int, int, T[][], boolean) - Constructor for class org.apache.commons.math4.linear.BlockFieldMatrix
Create a new dense matrix copying entries from block layout data.
blockInverse(RealMatrix, int) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Computes the inverse of the given matrix by splitting it into 4 sub-matrices.
BlockRealMatrix - Class in org.apache.commons.math4.linear
Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix.
BlockRealMatrix(int, int) - Constructor for class org.apache.commons.math4.linear.BlockRealMatrix
Create a new matrix with the supplied row and column dimensions.
BlockRealMatrix(double[][]) - Constructor for class org.apache.commons.math4.linear.BlockRealMatrix
Create a new dense matrix copying entries from raw layout data.
BlockRealMatrix(int, int, double[][], boolean) - Constructor for class org.apache.commons.math4.linear.BlockRealMatrix
Create a new dense matrix copying entries from block layout data.
BOBYQAOptimizer - Class in org.apache.commons.math4.optim.nonlinear.scalar.noderiv
Powell's BOBYQA algorithm.
BOBYQAOptimizer(int) - Constructor for class org.apache.commons.math4.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
 
BOBYQAOptimizer(int, double, double) - Constructor for class org.apache.commons.math4.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
 
bootstrap(double[], double[], int, boolean, UniformRandomProvider) - Method in class org.apache.commons.math4.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.
boundedToUnbounded(double[]) - Method in class org.apache.commons.math4.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
Maps an array from bounded to unbounded.
bracket(UnivariateFunction, double, double, double) - Static method in class org.apache.commons.math4.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, int) - Static method in class org.apache.commons.math4.analysis.solvers.UnivariateSolverUtils
This method simply calls bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations) with q and r set to 1.0.
bracket(UnivariateFunction, double, double, double, double, double, int) - Static method in class org.apache.commons.math4.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.
BracketedRealFieldUnivariateSolver<T extends RealFieldElement<T>> - Interface in org.apache.commons.math4.analysis.solvers
Interface for (univariate real) root-finding algorithms that maintain a bracketed solution.
BracketedUnivariateSolver<FUNC extends UnivariateFunction> - Interface in org.apache.commons.math4.analysis.solvers
Interface for (univariate real) root-finding algorithms that maintain a bracketed solution.
BracketFinder - Class in org.apache.commons.math4.optim.univariate
Provide an interval that brackets a local optimum of a function.
BracketFinder() - Constructor for class org.apache.commons.math4.optim.univariate.BracketFinder
Constructor with default values 100, 500 (see the other constructor).
BracketFinder(double, int) - Constructor for class org.apache.commons.math4.optim.univariate.BracketFinder
Create a bracketing interval finder.
BracketingNthOrderBrentSolver - Class in org.apache.commons.math4.analysis.solvers
This class implements a modification of the Brent algorithm.
BracketingNthOrderBrentSolver() - Constructor for class org.apache.commons.math4.analysis.solvers.BracketingNthOrderBrentSolver
Construct a solver with default accuracy and maximal order (1e-6 and 5 respectively)
BracketingNthOrderBrentSolver(double, int) - Constructor for class org.apache.commons.math4.analysis.solvers.BracketingNthOrderBrentSolver
Construct a solver.
BracketingNthOrderBrentSolver(double, double, int) - Constructor for class org.apache.commons.math4.analysis.solvers.BracketingNthOrderBrentSolver
Construct a solver.
BracketingNthOrderBrentSolver(double, double, double, int) - Constructor for class org.apache.commons.math4.analysis.solvers.BracketingNthOrderBrentSolver
Construct a solver.
BrentOptimizer - Class in org.apache.commons.math4.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, ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math4.optim.univariate.BrentOptimizer
The arguments are used implement the original stopping criterion of Brent's algorithm.
BrentOptimizer(double, double) - Constructor for class org.apache.commons.math4.optim.univariate.BrentOptimizer
The arguments are used for implementing the original stopping criterion of Brent's algorithm.
BrentSolver - Class in org.apache.commons.math4.analysis.solvers
This class implements the Brent algorithm for finding zeros of real univariate functions.
BrentSolver() - Constructor for class org.apache.commons.math4.analysis.solvers.BrentSolver
Construct a solver with default absolute accuracy (1e-6).
BrentSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.BrentSolver
Construct a solver.
BrentSolver(double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.BrentSolver
Construct a solver.
BrentSolver(double, double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.BrentSolver
Construct a solver.
build() - Method in class org.apache.commons.math4.fitting.leastsquares.LeastSquaresBuilder
Construct a LeastSquaresProblem from the data in this builder.
build(double[]) - Method in class org.apache.commons.math4.optim.nonlinear.scalar.noderiv.AbstractSimplex
Build an initial simplex.
buildArray(Field<T>, int) - Static method in class org.apache.commons.math4.util.MathArrays
Build an array of elements.
buildArray(Field<T>, int, int) - Static method in class org.apache.commons.math4.util.MathArrays
Build a double dimension array of elements.
byteValue() - Method in class org.apache.commons.math4.util.Decimal64
The current implementation performs casting to a byte.

C

calculateAdjustedRSquared() - Method in class org.apache.commons.math4.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.stat.regression.AbstractMultipleLinearRegression
Calculates the beta of multiple linear regression in matrix notation.
calculateBeta() - Method in class org.apache.commons.math4.stat.regression.GLSMultipleLinearRegression
Calculates beta by GLS.
calculateBeta() - Method in class org.apache.commons.math4.stat.regression.OLSMultipleLinearRegression
Calculates the regression coefficients using OLS.
calculateBetaVariance() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression
Calculates the beta variance of multiple linear regression in matrix notation.
calculateBetaVariance() - Method in class org.apache.commons.math4.stat.regression.GLSMultipleLinearRegression
Calculates the variance on the beta.
calculateBetaVariance() - Method in class org.apache.commons.math4.stat.regression.OLSMultipleLinearRegression
Calculates the variance-covariance matrix of the regression parameters.
calculateErrorVariance() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression
Calculates the variance of the error term.
calculateErrorVariance() - Method in class org.apache.commons.math4.stat.regression.GLSMultipleLinearRegression
Calculates the estimated variance of the error term using the formula
calculateHat() - Method in class org.apache.commons.math4.stat.regression.OLSMultipleLinearRegression
Compute the "hat" matrix.
calculateResiduals() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression
Calculates the residuals of multiple linear regression in matrix notation.
calculateResidualSumOfSquares() - Method in class org.apache.commons.math4.stat.regression.OLSMultipleLinearRegression
Returns the sum of squared residuals.
calculateRSquared() - Method in class org.apache.commons.math4.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.stat.regression.OLSMultipleLinearRegression
Returns the sum of squared deviations of Y from its mean.
calculateYVariance() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression
Calculates the variance of the y values.
CalinskiHarabasz - Class in org.apache.commons.math4.ml.clustering.evaluation
Compute the Calinski and Harabasz score.
CalinskiHarabasz() - Constructor for class org.apache.commons.math4.ml.clustering.evaluation.CalinskiHarabasz
 
canAdd(AnyMatrix) - Method in interface org.apache.commons.math4.linear.AnyMatrix
Checks that this matrix and the other matrix can be added.
CanberraDistance - Class in org.apache.commons.math4.ml.distance
Calculates the Canberra distance between two points.
CanberraDistance() - Constructor for class org.apache.commons.math4.ml.distance.CanberraDistance
 
canIncrement() - Method in class org.apache.commons.math4.util.IntegerSequence.Incrementor
Checks whether incrementing the counter nTimes is allowed.
canIncrement(int) - Method in class org.apache.commons.math4.util.IntegerSequence.Incrementor
Checks whether incrementing the counter several times is allowed.
canMultiply(AnyMatrix) - Method in interface org.apache.commons.math4.linear.AnyMatrix
Checks that this matrix can be multiplied by the other matrix.
cbrt() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Cubic root.
cbrt() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Cubic root.
Cbrt - Class in org.apache.commons.math4.analysis.function
Cube root function.
Cbrt() - Constructor for class org.apache.commons.math4.analysis.function.Cbrt
 
cbrt() - Method in class org.apache.commons.math4.dfp.Dfp
Cubic root.
cbrt() - Method in interface org.apache.commons.math4.RealFieldElement
Cubic root.
cbrt() - Method in class org.apache.commons.math4.util.Decimal64
Cubic root.
cbrt(double) - Static method in class org.apache.commons.math4.util.FastMath
Compute the cubic root of a number.
cdf(double, int) - Method in class org.apache.commons.math4.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.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.stat.inference.KolmogorovSmirnovTest
Calculates P(D_n < d).
ceil() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Get the smallest whole number larger than instance.
ceil() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Get the smallest whole number larger than instance.
Ceil - Class in org.apache.commons.math4.analysis.function
ceil function.
Ceil() - Constructor for class org.apache.commons.math4.analysis.function.Ceil
 
ceil() - Method in class org.apache.commons.math4.dfp.Dfp
Round to an integer using the round ceil mode.
ceil() - Method in interface org.apache.commons.math4.RealFieldElement
Get the smallest whole number larger than instance.
ceil() - Method in class org.apache.commons.math4.util.Decimal64
Get the smallest whole number larger than instance.
ceil(double) - Static method in class org.apache.commons.math4.util.FastMath
Get the smallest whole number larger than x.
CentralPivotingStrategy - Class in org.apache.commons.math4.util
A mid point strategy based on the average of begin and end indices.
CentralPivotingStrategy() - Constructor for class org.apache.commons.math4.util.CentralPivotingStrategy
 
centroid() - Method in class org.apache.commons.math4.ml.clustering.Cluster
Computes the centroid of the cluster.
CentroidCluster<T extends Clusterable> - Class in org.apache.commons.math4.ml.clustering
A Cluster used by centroid-based clustering algorithms.
CentroidCluster(Clusterable) - Constructor for class org.apache.commons.math4.ml.clustering.CentroidCluster
Build a cluster centered at a specified point.
ChebyshevDistance - Class in org.apache.commons.math4.ml.distance
Calculates the L (max of abs) distance between two points.
ChebyshevDistance() - Constructor for class org.apache.commons.math4.ml.distance.ChebyshevDistance
 
checkAdd(AnyMatrix) - Method in interface org.apache.commons.math4.linear.AnyMatrix
Checks that this matrix and the other matrix can be added.
checkAdditionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Check if matrices are addition compatible.
checkColumnIndex(int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix
Check if a column index is valid.
checkColumnIndex(AnyMatrix, int) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Check if a column index is valid.
checkCompatibility(DSCompiler) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler
Check rules set compatibility.
checkContractExpand(double, double) - Method in class org.apache.commons.math4.util.ResizableDoubleArray
Checks the expansion factor and the contraction criterion and raises an exception if the contraction criterion is smaller than the expansion criterion.
checkEqualLength(double[], double[], boolean) - Static method in class org.apache.commons.math4.util.MathArrays
Check that both arrays have the same length.
checkEqualLength(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays
Check that both arrays have the same length.
checkEqualLength(int[], int[], boolean) - Static method in class org.apache.commons.math4.util.MathArrays
Check that both arrays have the same length.
checkEqualLength(int[], int[]) - Static method in class org.apache.commons.math4.util.MathArrays
Check that both arrays have the same length.
checker(ConvergenceChecker<LeastSquaresProblem.Evaluation>) - Method in class org.apache.commons.math4.fitting.leastsquares.LeastSquaresBuilder
Configure the convergence checker.
checkerPair(ConvergenceChecker<PointVectorValuePair>) - Method in class org.apache.commons.math4.fitting.leastsquares.LeastSquaresBuilder
Configure the convergence checker.
checkFinite(double) - Static method in class org.apache.commons.math4.util.MathUtils
Check that the argument is a real number.
checkFinite(double[]) - Static method in class org.apache.commons.math4.util.MathUtils
Check that all the elements are real numbers.
checkIndex(int) - Method in class org.apache.commons.math4.linear.RealVector
Check if an index is valid.
checkIndices(int, int) - Method in class org.apache.commons.math4.linear.RealVector
Checks that the indices of a subvector are valid.
checkMatrixIndex(AnyMatrix, int, int) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Check if matrix indices are valid.
checkMultiplicationCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Check if matrices are multiplication compatible
checkMultiply(AnyMatrix) - Method in interface org.apache.commons.math4.linear.AnyMatrix
Checks that this matrix can be multiplied by the other matrix.
checkNonNegative(long[]) - Static method in class org.apache.commons.math4.util.MathArrays
Check that all entries of the input array are >= 0.
checkNonNegative(long[][]) - Static method in class org.apache.commons.math4.util.MathArrays
Check all entries of the input array are >= 0.
checkNotNaN(double[]) - Static method in class org.apache.commons.math4.util.MathArrays
Check that no entry of the input array is NaN.
checkNotNull(Object, Localizable, Object...) - Static method in class org.apache.commons.math4.util.MathUtils
Checks that an object is not null.
checkNotNull(Object) - Static method in class org.apache.commons.math4.util.MathUtils
Checks that an object is not null.
checkOrder(double[], MathArrays.OrderDirection, boolean, boolean) - Static method in class org.apache.commons.math4.util.MathArrays
Check that the given array is sorted.
checkOrder(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math4.util.MathArrays
Check that the given array is sorted.
checkOrder(double[]) - Static method in class org.apache.commons.math4.util.MathArrays
Check that the given array is sorted in strictly increasing order.
checkParameters(RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math4.linear.IterativeLinearSolver
Performs all dimension checks on the parameters of solve and solveInPlace, and throws an exception if one of the checks fails.
checkParameters(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math4.linear.PreconditionedIterativeLinearSolver
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.util.MathArrays
Check that all entries of the input array are strictly positive.
checkRectangular(long[][]) - Static method in class org.apache.commons.math4.util.MathArrays
Throws DimensionMismatchException if the input array is not rectangular.
checkRowIndex(int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix
Check if a row index is valid.
checkRowIndex(AnyMatrix, int) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Check if a row index is valid.
checkSubMatrixIndex(int, int, int, int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix
Check if submatrix ranges indices are valid.
checkSubMatrixIndex(int[], int[]) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix
Check if submatrix ranges indices are valid.
checkSubMatrixIndex(AnyMatrix, int, int, int, int) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Check if submatrix ranges indices are valid.
checkSubMatrixIndex(AnyMatrix, int[], int[]) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Check if submatrix ranges indices are valid.
checkSubtractionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Check if matrices are subtraction compatible
checkSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Checks whether a matrix is symmetric.
checkValidity(List<T>) - Method in class org.apache.commons.math4.genetics.AbstractListChromosome
Asserts that representation can represent a valid chromosome.
checkValidity(List<Integer>) - Method in class org.apache.commons.math4.genetics.BinaryChromosome
Asserts that representation can represent a valid chromosome.
checkValidity(List<Double>) - Method in class org.apache.commons.math4.genetics.RandomKey
Asserts that representation can represent a valid chromosome.
checkVectorDimensions(FieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector
Check if instance and specified vectors have the same dimension.
checkVectorDimensions(int) - Method in class org.apache.commons.math4.linear.ArrayFieldVector
Check if instance dimension is equal to some expected value.
checkVectorDimensions(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector
Check if instance and specified vectors have the same dimension.
checkVectorDimensions(int) - Method in class org.apache.commons.math4.linear.ArrayRealVector
Check if instance dimension is equal to some expected value.
checkVectorDimensions(RealVector) - Method in class org.apache.commons.math4.linear.RealVector
Check if instance and specified vectors have the same dimension.
checkVectorDimensions(int) - Method in class org.apache.commons.math4.linear.RealVector
Check if instance dimension is equal to some expected value.
checkVectorDimensions(int) - Method in class org.apache.commons.math4.linear.SparseFieldVector
Check if instance dimension is equal to some expected value.
chiSquare(double[], long[]) - Method in class org.apache.commons.math4.stat.inference.ChiSquareTest
Computes the Chi-Square statistic comparing observed and expected frequency counts.
chiSquare(long[][]) - Method in class org.apache.commons.math4.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(double[], long[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
 
chiSquare(long[][]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
 
chiSquareDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math4.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.stat.inference.InferenceTestUtils
 
ChiSquareTest - Class in org.apache.commons.math4.stat.inference
Implements Chi-Square test statistics.
ChiSquareTest() - Constructor for class org.apache.commons.math4.stat.inference.ChiSquareTest
Construct a ChiSquareTest
chiSquareTest(double[], long[]) - Method in class org.apache.commons.math4.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[], double) - Method in class org.apache.commons.math4.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(long[][]) - Method in class org.apache.commons.math4.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[][], double) - Method in class org.apache.commons.math4.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(double[], long[], double) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
 
chiSquareTest(double[], long[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
 
chiSquareTest(long[][], double) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
 
chiSquareTest(long[][]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
 
chiSquareTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math4.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[], double) - Method in class org.apache.commons.math4.stat.inference.ChiSquareTest
Performs a Chi-Square two sample test comparing two binned data sets.
chiSquareTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
 
chiSquareTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
 
CholeskyDecomposition - Class in org.apache.commons.math4.linear
Calculates the Cholesky decomposition of a matrix.
CholeskyDecomposition(RealMatrix) - Constructor for class org.apache.commons.math4.linear.CholeskyDecomposition
Calculates the Cholesky decomposition of the given matrix.
CholeskyDecomposition(RealMatrix, double, double) - Constructor for class org.apache.commons.math4.linear.CholeskyDecomposition
Calculates the Cholesky decomposition of the given matrix.
Chromosome - Class in org.apache.commons.math4.genetics
Individual in a population.
Chromosome() - Constructor for class org.apache.commons.math4.genetics.Chromosome
 
ChromosomePair - Class in org.apache.commons.math4.genetics
A pair of Chromosome objects.
ChromosomePair(Chromosome, Chromosome) - Constructor for class org.apache.commons.math4.genetics.ChromosomePair
Create a chromosome pair.
classes() - Method in class org.apache.commons.math4.util.TransformerMap
Returns the Set of Classes used as keys in the map.
ClassicalRungeKuttaFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.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.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator
Simple constructor.
ClassicalRungeKuttaIntegrator - Class in org.apache.commons.math4.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.ode.nonstiff.ClassicalRungeKuttaIntegrator
Simple constructor.
classify() - Method in class org.apache.commons.math4.dfp.Dfp
Returns the type - one of FINITE, INFINITE, SNAN, QNAN.
clear() - Method in class org.apache.commons.math4.fitting.WeightedObservedPoints
Removes all observations from this container.
clear() - Method in class org.apache.commons.math4.optim.BaseMultiStartMultivariateOptimizer
Method that will called in order to clear all stored optima.
clear() - Method in class org.apache.commons.math4.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
Method that will called in order to clear all stored optima.
clear() - Method in class org.apache.commons.math4.stat.descriptive.AbstractStorelessUnivariateStatistic
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math4.stat.descriptive.moment.GeometricMean
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.moment.Kurtosis
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.moment.Mean
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.moment.SecondMoment
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.moment.Skewness
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.moment.VectorialCovariance
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math4.stat.descriptive.rank.Max
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.rank.Min
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile
Clears the internal state of the Statistic
clear() - Method in interface org.apache.commons.math4.stat.descriptive.StorelessUnivariateStatistic
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.summary.Product
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.summary.Sum
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.summary.SumOfLogs
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.summary.SumOfSquares
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math4.stat.Frequency
Clears the frequency table
clear() - Method in class org.apache.commons.math4.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.stat.regression.SimpleRegression
Clears all data from the model.
clear() - Method in interface org.apache.commons.math4.stat.regression.UpdatingMultipleLinearRegression
Clears internal buffers and resets the regression model.
clear() - Method in interface org.apache.commons.math4.util.DoubleArray
Clear the double array
clear() - Method in class org.apache.commons.math4.util.ResizableDoubleArray
Clear the array contents, resetting the number of elements to zero.
clear() - Method in class org.apache.commons.math4.util.TransformerMap
Clears all the Class to Transformer mappings.
clearEventHandlers() - Method in class org.apache.commons.math4.ode.AbstractFieldIntegrator
Remove all the event handlers that have been added to the integrator.
clearEventHandlers() - Method in class org.apache.commons.math4.ode.AbstractIntegrator
Remove all the event handlers that have been added to the integrator.
clearEventHandlers() - Method in interface org.apache.commons.math4.ode.FirstOrderFieldIntegrator
Remove all the event handlers that have been added to the integrator.
clearEventHandlers() - Method in interface org.apache.commons.math4.ode.ODEIntegrator
Remove all the event handlers that have been added to the integrator.
clearIEEEFlags() - Method in class org.apache.commons.math4.dfp.DfpField
Clears the IEEE 854 status flags.
clearStepHandlers() - Method in class org.apache.commons.math4.ode.AbstractFieldIntegrator
Remove all the step handlers that have been added to the integrator.
clearStepHandlers() - Method in class org.apache.commons.math4.ode.AbstractIntegrator
Remove all the step handlers that have been added to the integrator.
clearStepHandlers() - Method in interface org.apache.commons.math4.ode.FirstOrderFieldIntegrator
Remove all the step handlers that have been added to the integrator.
clearStepHandlers() - Method in interface org.apache.commons.math4.ode.ODEIntegrator
Remove all the step handlers that have been added to the integrator.
clone() - Method in interface org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile.PSquareMarkers
A clone function to clone the current instance.
ClopperPearsonInterval - Class in org.apache.commons.math4.stat.interval
Implements the Clopper-Pearson method for creating a binomial proportion confidence interval.
ClopperPearsonInterval() - Constructor for class org.apache.commons.math4.stat.interval.ClopperPearsonInterval
 
Cluster<T extends Clusterable> - Class in org.apache.commons.math4.ml.clustering
Cluster holding a set of Clusterable points.
Cluster() - Constructor for class org.apache.commons.math4.ml.clustering.Cluster
Build a cluster centered at a specified point.
cluster(Collection<T>) - Method in class org.apache.commons.math4.ml.clustering.Clusterer
Perform a cluster analysis on the given set of Clusterable instances.
cluster(Collection<T>) - Method in class org.apache.commons.math4.ml.clustering.DBSCANClusterer
Performs DBSCAN cluster analysis.
cluster(Collection<T>) - Method in class org.apache.commons.math4.ml.clustering.FuzzyKMeansClusterer
Performs Fuzzy K-Means cluster analysis.
cluster(Collection<T>) - Method in class org.apache.commons.math4.ml.clustering.KMeansPlusPlusClusterer
Runs the K-means++ clustering algorithm.
cluster(Collection<T>) - Method in class org.apache.commons.math4.ml.clustering.MiniBatchKMeansClusterer
Runs the MiniBatch K-means clustering algorithm.
cluster(Collection<T>) - Method in class org.apache.commons.math4.ml.clustering.MultiKMeansPlusPlusClusterer
Runs the K-means++ clustering algorithm.
Clusterable - Interface in org.apache.commons.math4.ml.clustering
Interface for n-dimensional points that can be clustered together.
Clusterer<T extends Clusterable> - Class in org.apache.commons.math4.ml.clustering
Base class for clustering algorithms.
Clusterer(DistanceMeasure) - Constructor for class org.apache.commons.math4.ml.clustering.Clusterer
Build a new clusterer with the given DistanceMeasure.
ClusterEvaluator - Interface in org.apache.commons.math4.ml.clustering
Defines a measure of the quality of clusters.
ClusterRanking - Interface in org.apache.commons.math4.ml.clustering
Evaluates the quality of a set of clusters.
CMAESOptimizer - Class in org.apache.commons.math4.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.optim.nonlinear.scalar.noderiv.CMAESOptimizer
 
CMAESOptimizer.PopulationSize - Class in org.apache.commons.math4.optim.nonlinear.scalar.noderiv
Population size.
CMAESOptimizer.Sigma - Class in org.apache.commons.math4.optim.nonlinear.scalar.noderiv
Input sigma values.
collector(BivariateFunction, UnivariateFunction, double) - Static method in class org.apache.commons.math4.analysis.FunctionUtils
Returns a MultivariateFunction h(x[]) defined by
collector(BivariateFunction, double) - Static method in class org.apache.commons.math4.analysis.FunctionUtils
Returns a MultivariateFunction h(x[]) defined by
CollidingBodiesOptimizer - Class in org.apache.commons.math4.optim.nonlinear.scalar.noderiv
Implements the Colliding Bodies Optimization (CBO) meta-heuristics.
CollidingBodiesOptimizer(double, double) - Constructor for class org.apache.commons.math4.optim.nonlinear.scalar.noderiv.CollidingBodiesOptimizer
 
CollidingBodiesOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math4.optim.nonlinear.scalar.noderiv.CollidingBodiesOptimizer
 
CombinatoricsUtils - Class in org.apache.commons.math4.util
Combinatorial utilities.
combine(BivariateFunction, UnivariateFunction, UnivariateFunction) - Static method in class org.apache.commons.math4.analysis.FunctionUtils
Returns the univariate function h(x) = combiner(f(x), g(x)).
combine(double, double, RealVector) - Method in class org.apache.commons.math4.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.linear.RealVector
Returns a new vector representing a * this + b * y, the linear combination of this and y.
combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector
Updates this with the linear combination of this and y.
combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math4.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.genetics.RandomKey
Generates a representation of a permutation corresponding to the data sorted by comparator.
compare(Neuron, Neuron) - Method in class org.apache.commons.math4.ml.neuralnet.Network.NeuronIdentifierComparator
compareAndSetFeatures(double[], double[]) - Method in class org.apache.commons.math4.ml.neuralnet.Neuron
Tries to atomically update the neuron's features.
compareTo(Chromosome) - Method in class org.apache.commons.math4.genetics.Chromosome
Compares two chromosomes based on their fitness.
compareTo(BigReal) - Method in class org.apache.commons.math4.util.BigReal
compareTo(Decimal64) - Method in class org.apache.commons.math4.util.Decimal64
The current implementation returns the same value as new Double(this.doubleValue()).compareTo(new Double(o.doubleValue()))
complainIfNotSupported(String) - Method in class org.apache.commons.math4.ode.AbstractParameterizable
Check if a parameter is supported and throw an IllegalArgumentException if not.
complement(int) - Method in class org.apache.commons.math4.dfp.Dfp
Negate the mantissa of this by computing the complement.
ComplexFormat - Class in org.apache.commons.math4.complex
Formats a Complex number in cartesian format "Re(c) + Im(c)i".
ComplexFormat() - Constructor for class org.apache.commons.math4.complex.ComplexFormat
Create an instance with the default imaginary character, 'i', and the default number format for both real and imaginary parts.
ComplexFormat(NumberFormat) - Constructor for class org.apache.commons.math4.complex.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.complex.ComplexFormat
Create an instance with a custom number format for the real part and a custom number format for the imaginary part.
ComplexFormat(String) - Constructor for class org.apache.commons.math4.complex.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.complex.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.complex.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.
compose(double...) - Method in class org.apache.commons.math4.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.analysis.differentiation.DSCompiler
Compute composition of a derivative structure by a function.
compose(double, double) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Compute composition of the instance by a univariate function.
compose(UnivariateFunction...) - Static method in class org.apache.commons.math4.analysis.FunctionUtils
Composes functions.
compose(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math4.analysis.FunctionUtils
Composes functions.
CompositeFormat - Class in org.apache.commons.math4.util
Base class for formatters of composite objects (complex numbers, vectors ...).
compute(List<? extends Cluster<? extends Clusterable>>) - Method in interface org.apache.commons.math4.ml.clustering.ClusterRanking
Computes the rank (higher is better).
compute(double[], double[]) - Method in class org.apache.commons.math4.ml.distance.CanberraDistance
Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in class org.apache.commons.math4.ml.distance.ChebyshevDistance
Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in interface org.apache.commons.math4.ml.distance.DistanceMeasure
Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in class org.apache.commons.math4.ml.distance.EarthMoversDistance
Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in class org.apache.commons.math4.ml.distance.EuclideanDistance
Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in class org.apache.commons.math4.ml.distance.ManhattanDistance
Compute the distance between two n-dimensional vectors.
compute(MathArrays.Function) - Method in class org.apache.commons.math4.util.ResizableDoubleArray
Performs an operation on the addressable elements of the array.
computeCoefficients() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionLagrangeForm
Calculate the coefficients of Lagrange polynomial from the interpolation data.
computeCoefficients() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionNewtonForm
Calculate the normal polynomial coefficients given the Newton form.
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math4.stat.correlation.KendallsCorrelation
Computes the Kendall's Tau rank correlation matrix for the columns of the input matrix.
computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math4.stat.correlation.KendallsCorrelation
Computes the Kendall's Tau rank correlation matrix for the columns of the input rectangular array.
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math4.stat.correlation.PearsonsCorrelation
Computes the correlation matrix for the columns of the input matrix, using PearsonsCorrelation.correlation(double[], double[]).
computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math4.stat.correlation.PearsonsCorrelation
Computes the correlation matrix for the columns of the input rectangular array.
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math4.stat.correlation.SpearmansCorrelation
Computes the Spearman's rank correlation matrix for the columns of the input matrix.
computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math4.stat.correlation.SpearmansCorrelation
Computes the Spearman's rank correlation matrix for the columns of the input rectangular array.
computeCovarianceMatrix(RealMatrix, boolean) - Method in class org.apache.commons.math4.stat.correlation.Covariance
Compute a covariance matrix from a matrix whose columns represent covariates.
computeCovarianceMatrix(RealMatrix) - Method in class org.apache.commons.math4.stat.correlation.Covariance
Create a covariance matrix from a matrix whose columns represent covariates.
computeCovarianceMatrix(double[][], boolean) - Method in class org.apache.commons.math4.stat.correlation.Covariance
Compute a covariance matrix from a rectangular array whose columns represent covariates.
computeCovarianceMatrix(double[][]) - Method in class org.apache.commons.math4.stat.correlation.Covariance
Create a covariance matrix from a rectangular array whose columns represent covariates.
computeDerivatives(T, T[]) - Method in class org.apache.commons.math4.ode.AbstractFieldIntegrator
Compute the derivatives and check the number of evaluations.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math4.ode.AbstractIntegrator
Compute the derivatives and check the number of evaluations.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math4.ode.ExpandableStatefulODE
Get the current time derivative of the complete state vector.
computeDerivatives(T, T[]) - Method in class org.apache.commons.math4.ode.FieldExpandableODE
Get the current time derivative of the complete state vector.
computeDerivatives(T, T[], T[], T[]) - Method in interface org.apache.commons.math4.ode.FieldSecondaryEquations
Compute the derivatives related to the secondary state parameters.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math4.ode.FirstOrderConverter
Get the current time derivative of the state vector.
computeDerivatives(double, double[], double[]) - Method in interface org.apache.commons.math4.ode.FirstOrderDifferentialEquations
Get the current time derivative of the state vector.
computeDerivatives(T, T[]) - Method in interface org.apache.commons.math4.ode.FirstOrderFieldDifferentialEquations
Get the current time derivative of the state vector.
computeDerivatives(double, double[], double[], double[], double[]) - Method in interface org.apache.commons.math4.ode.SecondaryEquations
Compute the derivatives related to the secondary state parameters.
computeDividedDifference(double[], double[]) - Static method in class org.apache.commons.math4.analysis.interpolation.DividedDifferenceInterpolator
Return a copy of the divided difference array.
computeExp(Dfp, Dfp) - Static method in class org.apache.commons.math4.dfp.DfpField
Compute exp(a).
computeImage(NeuronSquareMesh2D, Iterable<double[]>) - Method in interface org.apache.commons.math4.ml.neuralnet.twod.util.MapDataVisualization
Creates an image of the data metrics when represented by the map.
computeImage(NeuronSquareMesh2D) - Method in interface org.apache.commons.math4.ml.neuralnet.twod.util.MapVisualization
Creates an image of the map.
computeImage(NeuronSquareMesh2D, Iterable<double[]>) - Method in class org.apache.commons.math4.ml.neuralnet.twod.util.SmoothedDataHistogram
Creates an image of the data metrics when represented by the map.
computeImage(NeuronSquareMesh2D) - Method in class org.apache.commons.math4.ml.neuralnet.twod.util.UnifiedDistanceMatrix
Computes the distances between a unit of the map and its neighbours.
computeInterpolatedStateAndDerivatives(FieldEquationsMapper<T>, T, T, T, T) - Method in class org.apache.commons.math4.ode.sampling.AbstractFieldStepInterpolator
Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math4.ode.sampling.AbstractStepInterpolator
Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math4.ode.sampling.NordsieckStepInterpolator
Compute the state and derivatives at the interpolated time.
computeJacobian(double[]) - Method in interface org.apache.commons.math4.fitting.leastsquares.ValueAndJacobianFunction
Compute the Jacobian.
computeLn(Dfp, Dfp, Dfp) - Static method in class org.apache.commons.math4.dfp.DfpField
Compute ln(a).
computeMainStateJacobian(double, double[], double[], double[][]) - Method in interface org.apache.commons.math4.ode.MainStateJacobianProvider
Compute the jacobian matrix of ODE with respect to main state.
computeObjectiveGradient(double[]) - Method in class org.apache.commons.math4.optim.nonlinear.scalar.GradientMultivariateOptimizer
Compute the gradient vector.
computeObjectiveValue(double) - Method in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator
Compute the objective function value.
computeObjectiveValue(double) - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver
Compute the objective function value.
computeObjectiveValue(double[]) - Method in class org.apache.commons.math4.optim.nonlinear.scalar.MultivariateOptimizer
Computes the objective function value.
computeObjectiveValue(double) - Method in class org.apache.commons.math4.optim.univariate.UnivariateOptimizer
Computes the objective function value.
computeObjectiveValueAndDerivative(double) - Method in class org.apache.commons.math4.analysis.solvers.AbstractUnivariateDifferentiableSolver
Compute the objective function value.
computeParameterJacobian(double, double[], double[], String, double[]) - Method in interface org.apache.commons.math4.ode.ParameterJacobianProvider
Compute the Jacobian matrix of ODE with respect to one parameter.
computeQualityIndicators(Iterable<double[]>) - Method in class org.apache.commons.math4.ml.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.ml.neuralnet.MapUtils
Computes the quantization error.
computeRule(int) - Method in class org.apache.commons.math4.analysis.integration.gauss.BaseRuleFactory
Computes the rule for the given order.
computeRule(int) - Method in class org.apache.commons.math4.analysis.integration.gauss.HermiteRuleFactory
Computes the rule for the given order.
computeRule(int) - Method in class org.apache.commons.math4.analysis.integration.gauss.LaguerreRuleFactory
Computes the rule for the given order.
computeRule(int) - Method in class org.apache.commons.math4.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
Computes the rule for the given order.
computeRule(int) - Method in class org.apache.commons.math4.analysis.integration.gauss.LegendreRuleFactory
Computes the rule for the given order.
computeSecondDerivatives(double, double[], double[], double[]) - Method in interface org.apache.commons.math4.ode.SecondOrderDifferentialEquations
Get the current time derivative of the state vector.
computeStepGrowShrinkFactor(T) - Method in class org.apache.commons.math4.ode.MultistepFieldIntegrator
Compute step grow/shrink factor according to normalized error.
computeStepGrowShrinkFactor(double) - Method in class org.apache.commons.math4.ode.MultistepIntegrator
Compute step grow/shrink factor according to normalized error.
computeTopographicError(Iterable<double[]>, Network, DistanceMeasure) - Static method in class org.apache.commons.math4.ml.neuralnet.MapUtils
Computes the topographic error.
computeValue(double[]) - Method in interface org.apache.commons.math4.fitting.leastsquares.ValueAndJacobianFunction
Compute the value.
concatenate(double[]...) - Static method in class org.apache.commons.math4.util.MathArrays
Concatenates a sequence of arrays.
ConfidenceInterval - Class in org.apache.commons.math4.stat.interval
Represents an interval estimate of a population parameter.
ConfidenceInterval(double, double, double) - Constructor for class org.apache.commons.math4.stat.interval.ConfidenceInterval
Create a confidence interval with the given bounds and confidence level.
ConjugateGradient - Class in org.apache.commons.math4.linear
This is an implementation of the conjugate gradient method for RealLinearOperator.
ConjugateGradient(int, double, boolean) - Constructor for class org.apache.commons.math4.linear.ConjugateGradient
Creates a new instance of this class, with default stopping criterion.
ConjugateGradient(IterationManager, double, boolean) - Constructor for class org.apache.commons.math4.linear.ConjugateGradient
Creates a new instance of this class, with default stopping criterion and custom iteration manager.
Constant - Class in org.apache.commons.math4.analysis.function
Constant function.
Constant(double) - Constructor for class org.apache.commons.math4.analysis.function.Constant
 
containsClass(Class<?>) - Method in class org.apache.commons.math4.util.TransformerMap
Tests if a Class is present in the TransformerMap.
containsKey(int) - Method in class org.apache.commons.math4.util.OpenIntToDoubleHashMap
Check if a value is associated with a key.
containsKey(int) - Method in class org.apache.commons.math4.util.OpenIntToFieldHashMap
Check if a value is associated with a key.
containsTransformer(NumberTransformer) - Method in class org.apache.commons.math4.util.TransformerMap
Tests if a NumberTransformer is present in the TransformerMap.
ContinuousOutputFieldModel<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.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.ode.ContinuousOutputFieldModel
Simple constructor.
ContinuousOutputModel - Class in org.apache.commons.math4.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.ode.ContinuousOutputModel
Simple constructor.
contract() - Method in class org.apache.commons.math4.util.ResizableDoubleArray
Contracts the storage array to the (size of the element set) + 1 - to avoid a zero length array.
converged(int, LeastSquaresProblem.Evaluation, LeastSquaresProblem.Evaluation) - Method in class org.apache.commons.math4.fitting.leastsquares.EvaluationRmsChecker
Check if the optimization algorithm has converged.
converged(int, PAIR, PAIR) - Method in class org.apache.commons.math4.optim.AbstractConvergenceChecker
Check if the optimization algorithm has converged.
converged(int, PAIR, PAIR) - Method in interface org.apache.commons.math4.optim.ConvergenceChecker
Check if the optimization algorithm has converged.
converged(int, PAIR, PAIR) - Method in class org.apache.commons.math4.optim.SimplePointChecker
Check if the optimization algorithm has converged considering the last two points.
converged(int, PointValuePair, PointValuePair) - Method in class org.apache.commons.math4.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.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.optim.univariate.SimpleUnivariateValueChecker
Check if the optimization algorithm has converged considering the last two points.
ConvergenceChecker<PAIR> - Interface in org.apache.commons.math4.optim
This interface specifies how to check if an optimization algorithm has converged.
ConvergenceException - Exception in org.apache.commons.math4.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.exception.ConvergenceException
Construct the exception.
ConvergenceException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.exception.ConvergenceException
Construct the exception with a specific context and arguments.
convolve(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays
Calculates the convolution between two sequences.
copy() - Method in class org.apache.commons.math4.analysis.interpolation.InterpolatingMicrosphere
Perform a copy.
copy() - Method in class org.apache.commons.math4.analysis.interpolation.InterpolatingMicrosphere2D
Perform a copy.
copy() - Method in class org.apache.commons.math4.field.linalg.FieldDenseMatrix
Copies this matrix.
copy() - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix
Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.AbstractRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix
Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.ArrayFieldVector
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.ArrayRealVector
Returns a (deep) copy of this vector.
copy() - Method in class org.apache.commons.math4.linear.BlockFieldMatrix
Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.BlockRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.DiagonalMatrix
Returns a (deep) copy of this.
copy() - Method in interface org.apache.commons.math4.linear.FieldMatrix
Make a (deep) copy of this.
copy() - Method in interface org.apache.commons.math4.linear.FieldVector
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.OpenMapRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.OpenMapRealVector
Returns a (deep) copy of this vector.
copy() - Method in interface org.apache.commons.math4.linear.RealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.RealVector
Returns a (deep) copy of this vector.
copy() - Method in class org.apache.commons.math4.linear.SparseFieldMatrix
Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.SparseFieldVector
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.ml.neuralnet.Network
Performs a deep copy of this instance.
copy() - Method in class org.apache.commons.math4.ml.neuralnet.Neuron
Performs a deep copy of this instance.
copy() - Method in class org.apache.commons.math4.ml.neuralnet.twod.NeuronSquareMesh2D
Performs a deep copy of this instance.
copy(Field<T>, T[][]) - Method in class org.apache.commons.math4.ode.FieldODEState
Copy a two-dimensions array.
copy() - Method in class org.apache.commons.math4.ode.sampling.AbstractStepInterpolator
Copy the instance.
copy() - Method in interface org.apache.commons.math4.ode.sampling.StepInterpolator
Copy the instance.
copy() - Method in class org.apache.commons.math4.stat.descriptive.AbstractStorelessUnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.AbstractUnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics
Returns a copy of this DescriptiveStatistics instance with the same internal state.
copy(DescriptiveStatistics, DescriptiveStatistics) - Static method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics
Copies source to dest.
copy() - Method in class org.apache.commons.math4.stat.descriptive.moment.GeometricMean
Returns a copy of the statistic with the same internal state.
copy(GeometricMean, GeometricMean) - Static method in class org.apache.commons.math4.stat.descriptive.moment.GeometricMean
Copies source to dest.
copy() - Method in class org.apache.commons.math4.stat.descriptive.moment.Kurtosis
Returns a copy of the statistic with the same internal state.
copy(Kurtosis, Kurtosis) - Static method in class org.apache.commons.math4.stat.descriptive.moment.Kurtosis
Copies source to dest.
copy() - Method in class org.apache.commons.math4.stat.descriptive.moment.Mean
Returns a copy of the statistic with the same internal state.
copy(Mean, Mean) - Static method in class org.apache.commons.math4.stat.descriptive.moment.Mean
Copies source to dest.
copy() - Method in class org.apache.commons.math4.stat.descriptive.moment.SecondMoment
Returns a copy of the statistic with the same internal state.
copy(SecondMoment, SecondMoment) - Static method in class org.apache.commons.math4.stat.descriptive.moment.SecondMoment
Copies source to dest.
copy() - Method in class org.apache.commons.math4.stat.descriptive.moment.SemiVariance
Returns a copy of the statistic with the same internal state.
copy(SemiVariance, SemiVariance) - Static method in class org.apache.commons.math4.stat.descriptive.moment.SemiVariance
Copies source to dest.
copy() - Method in class org.apache.commons.math4.stat.descriptive.moment.Skewness
Returns a copy of the statistic with the same internal state.
copy(Skewness, Skewness) - Static method in class org.apache.commons.math4.stat.descriptive.moment.Skewness
Copies source to dest.
copy() - Method in class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation
Returns a copy of the statistic with the same internal state.
copy(StandardDeviation, StandardDeviation) - Static method in class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation
Copies source to dest.
copy() - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance
Returns a copy of the statistic with the same internal state.
copy(Variance, Variance) - Static method in class org.apache.commons.math4.stat.descriptive.moment.Variance
Copies source to dest.
copy() - Method in class org.apache.commons.math4.stat.descriptive.rank.Max
Returns a copy of the statistic with the same internal state.
copy(Max, Max) - Static method in class org.apache.commons.math4.stat.descriptive.rank.Max
Copies source to dest.
copy() - Method in class org.apache.commons.math4.stat.descriptive.rank.Min
Returns a copy of the statistic with the same internal state.
copy(Min, Min) - Static method in class org.apache.commons.math4.stat.descriptive.rank.Min
Copies source to dest.
copy() - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile
Returns a copy of the statistic with the same internal state.
copy() - Method in interface org.apache.commons.math4.stat.descriptive.StorelessUnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.summary.Product
Returns a copy of the statistic with the same internal state.
copy(Product, Product) - Static method in class org.apache.commons.math4.stat.descriptive.summary.Product
Copies source to dest.
copy() - Method in class org.apache.commons.math4.stat.descriptive.summary.Sum
Returns a copy of the statistic with the same internal state.
copy(Sum, Sum) - Static method in class org.apache.commons.math4.stat.descriptive.summary.Sum
Copies source to dest.
copy() - Method in class org.apache.commons.math4.stat.descriptive.summary.SumOfLogs
Returns a copy of the statistic with the same internal state.
copy(SumOfLogs, SumOfLogs) - Static method in class org.apache.commons.math4.stat.descriptive.summary.SumOfLogs
Copies source to dest.
copy() - Method in class org.apache.commons.math4.stat.descriptive.summary.SumOfSquares
Returns a copy of the statistic with the same internal state.
copy(SumOfSquares, SumOfSquares) - Static method in class org.apache.commons.math4.stat.descriptive.summary.SumOfSquares
Copies source to dest.
copy() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics
Returns a copy of this SummaryStatistics instance with the same internal state.
copy(SummaryStatistics, SummaryStatistics) - Static method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics
Copies source to dest.
copy() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics
Returns a copy of this SynchronizedDescriptiveStatistics instance with the same internal state.
copy(SynchronizedDescriptiveStatistics, SynchronizedDescriptiveStatistics) - Static method in class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics
Copies source to dest.
copy() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics
Returns a copy of this SynchronizedSummaryStatistics instance with the same internal state.
copy(SynchronizedSummaryStatistics, SynchronizedSummaryStatistics) - Static method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics
Copies source to dest.
copy() - Method in interface org.apache.commons.math4.stat.descriptive.UnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.util.ResizableDoubleArray
Returns a copy of the ResizableDoubleArray.
copySign(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Returns the instance with the sign of the argument.
copySign(double) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Returns the instance with the sign of the argument.
copySign(SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Returns the instance with the sign of the argument.
copySign(double) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Returns the instance with the sign of the argument.
copysign(Dfp, Dfp) - Static method in class org.apache.commons.math4.dfp.Dfp
Creates an instance that is the same as x except that it has the sign of y.
copySign(Dfp) - Method in class org.apache.commons.math4.dfp.Dfp
Returns the instance with the sign of the argument.
copySign(double) - Method in class org.apache.commons.math4.dfp.Dfp
Returns the instance with the sign of the argument.
copySign(T) - Method in interface org.apache.commons.math4.RealFieldElement
Returns the instance with the sign of the argument.
copySign(double) - Method in interface org.apache.commons.math4.RealFieldElement
Returns the instance with the sign of the argument.
copySign(Decimal64) - Method in class org.apache.commons.math4.util.Decimal64
Returns the instance with the sign of the argument.
copySign(double) - Method in class org.apache.commons.math4.util.Decimal64
Returns the instance with the sign of the argument.
copySign(double, double) - Static method in class org.apache.commons.math4.util.FastMath
Returns the first argument with the sign of the second argument.
copySign(float, float) - Static method in class org.apache.commons.math4.util.FastMath
Returns the first argument with the sign of the second argument.
copySign(byte, byte) - Static method in class org.apache.commons.math4.util.MathUtils
Returns the first argument with the sign of the second argument.
copySign(short, short) - Static method in class org.apache.commons.math4.util.MathUtils
Returns the first argument with the sign of the second argument.
copySign(int, int) - Static method in class org.apache.commons.math4.util.MathUtils
Returns the first argument with the sign of the second argument.
copySign(long, long) - Static method in class org.apache.commons.math4.util.MathUtils
Returns the first argument with the sign of the second argument.
copySubMatrix(int, int, int, int, T[][]) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix
Copy a submatrix.
copySubMatrix(int[], int[], T[][]) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, double[][]) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix
Copy a submatrix.
copySubMatrix(int[], int[], double[][]) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, T[][]) - Method in interface org.apache.commons.math4.linear.FieldMatrix
Copy a submatrix.
copySubMatrix(int[], int[], T[][]) - Method in interface org.apache.commons.math4.linear.FieldMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, double[][]) - Method in interface org.apache.commons.math4.linear.RealMatrix
Copy a submatrix.
copySubMatrix(int[], int[], double[][]) - Method in interface org.apache.commons.math4.linear.RealMatrix
Copy a submatrix.
correct(double[]) - Method in class org.apache.commons.math4.filter.KalmanFilter
Correct the current state estimate with an actual measurement.
correct(RealVector) - Method in class org.apache.commons.math4.filter.KalmanFilter
Correct the current state estimate with an actual measurement.
CorrelatedRandomVectorGenerator - Class in org.apache.commons.math4.random
A RandomVectorGenerator that generates vectors with with correlated components.
CorrelatedRandomVectorGenerator(double[], RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math4.random.CorrelatedRandomVectorGenerator
Builds a correlated random vector generator from its mean vector and covariance matrix.
CorrelatedRandomVectorGenerator(RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math4.random.CorrelatedRandomVectorGenerator
Builds a null mean random correlated vector generator from its covariance matrix.
correlation(double[], double[]) - Method in class org.apache.commons.math4.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.stat.correlation.PearsonsCorrelation
Computes the Pearson's product-moment correlation coefficient between two arrays.
correlation(double[], double[]) - Method in class org.apache.commons.math4.stat.correlation.SpearmansCorrelation
Computes the Spearman's rank correlation coefficient between the two arrays.
cos() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Cosine operation.
cos(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler
Compute cosine of a derivative structure.
cos() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Cosine operation.
Cos - Class in org.apache.commons.math4.analysis.function
Cosine function.
Cos() - Constructor for class org.apache.commons.math4.analysis.function.Cos
 
cos() - Method in class org.apache.commons.math4.dfp.Dfp
Cosine operation.
cos(Dfp) - Static method in class org.apache.commons.math4.dfp.DfpMath
computes the cosine of the argument.
cos() - Method in interface org.apache.commons.math4.RealFieldElement
Cosine operation.
cos() - Method in class org.apache.commons.math4.util.Decimal64
Cosine operation.
cos(double) - Static method in class org.apache.commons.math4.util.FastMath
Cosine function.
cosh() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Hyperbolic cosine operation.
cosh(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler
Compute hyperbolic cosine of a derivative structure.
cosh() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Hyperbolic cosine operation.
Cosh - Class in org.apache.commons.math4.analysis.function
Hyperbolic cosine function.
Cosh() - Constructor for class org.apache.commons.math4.analysis.function.Cosh
 
cosh() - Method in class org.apache.commons.math4.dfp.Dfp
Hyperbolic cosine operation.
cosh() - Method in interface org.apache.commons.math4.RealFieldElement
Hyperbolic cosine operation.
cosh() - Method in class org.apache.commons.math4.util.Decimal64
Hyperbolic cosine operation.
cosh(double) - Static method in class org.apache.commons.math4.util.FastMath
Compute the hyperbolic cosine of a number.
cosine(RealVector) - Method in class org.apache.commons.math4.linear.RealVector
Computes the cosine of the angle between this vector and the argument.
cosInternal(Dfp[]) - Static method in class org.apache.commons.math4.dfp.DfpMath
Computes cos(a) Used when 0 < a < pi/4.
countEvaluations(LeastSquaresProblem, IntegerSequence.Incrementor) - Static method in class org.apache.commons.math4.fitting.leastsquares.LeastSquaresFactory
Count the evaluations of a particular problem.
Covariance - Class in org.apache.commons.math4.stat.correlation
Computes covariances for pairs of arrays or columns of a matrix.
Covariance() - Constructor for class org.apache.commons.math4.stat.correlation.Covariance
Create a Covariance with no data
Covariance(double[][], boolean) - Constructor for class org.apache.commons.math4.stat.correlation.Covariance
Create a Covariance matrix from a rectangular array whose columns represent covariates.
Covariance(double[][]) - Constructor for class org.apache.commons.math4.stat.correlation.Covariance
Create a Covariance matrix from a rectangular array whose columns represent covariates.
Covariance(RealMatrix, boolean) - Constructor for class org.apache.commons.math4.stat.correlation.Covariance
Create a covariance matrix from a matrix whose columns represent covariates.
Covariance(RealMatrix) - Constructor for class org.apache.commons.math4.stat.correlation.Covariance
Create a covariance matrix from a matrix whose columns represent covariates.
covariance(double[], double[], boolean) - Method in class org.apache.commons.math4.stat.correlation.Covariance
Computes the covariance between the two arrays.
covariance(double[], double[]) - Method in class org.apache.commons.math4.stat.correlation.Covariance
Computes the covariance between the two arrays, using the bias-corrected formula.
covarianceToCorrelation(RealMatrix) - Method in class org.apache.commons.math4.stat.correlation.PearsonsCorrelation
Derives a correlation matrix from a covariance matrix.
create(Field<T>, int, int) - Static method in class org.apache.commons.math4.field.linalg.FieldDenseMatrix
Factory method.
create() - Static method in class org.apache.commons.math4.fitting.GaussianCurveFitter
Creates a default curve fitter.
create() - Static method in class org.apache.commons.math4.fitting.HarmonicCurveFitter
Creates a default curve fitter.
create(MultivariateJacobianFunction, RealVector, RealVector, RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int, boolean, ParameterValidator) - Static method in class org.apache.commons.math4.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.fitting.leastsquares.LeastSquaresFactory
Create a LeastSquaresProblem from the given elements.
create(MultivariateJacobianFunction, RealVector, RealVector, RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.apache.commons.math4.fitting.leastsquares.LeastSquaresFactory
Create a LeastSquaresProblem from the given elements.
create(MultivariateVectorFunction, MultivariateMatrixFunction, double[], double[], RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.apache.commons.math4.fitting.leastsquares.LeastSquaresFactory
Create a LeastSquaresProblem from the given elements.
create(int) - Static method in class org.apache.commons.math4.fitting.PolynomialCurveFitter
Creates a default curve fitter.
create(ParametricUnivariateFunction, double[]) - Static method in class org.apache.commons.math4.fitting.SimpleCurveFitter
Creates a curve fitter.
create(RealLinearOperator) - Static method in class org.apache.commons.math4.linear.JacobiPreconditioner
Creates a new instance of this class.
create(boolean, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.ode.sampling.AbstractFieldStepInterpolator
Create a new instance.
create() - Static method in class org.apache.commons.math4.util.IntegerSequence.Incrementor
Factory method that creates a default instance.
create(K, V) - Static method in class org.apache.commons.math4.util.Pair
Convenience factory method that calls the constructor.
createBlocksLayout(Field<T>, int, int) - Static method in class org.apache.commons.math4.linear.BlockFieldMatrix
Create a data array in blocks layout.
createBlocksLayout(int, int) - Static method in class org.apache.commons.math4.linear.BlockRealMatrix
Create a data array in blocks layout.
createChebyshevPolynomial(int) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialsUtils
Create a Chebyshev polynomial of the first kind.
createColumnFieldMatrix(T[]) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Creates a column FieldMatrix using the data from the input array.
createColumnRealMatrix(double[]) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Creates a column RealMatrix using the data from the input array.
createComplexArray(double[][]) - Static method in class org.apache.commons.math4.transform.TransformUtils
Builds a new array of Complex from the specified two dimensional array of real and imaginary parts.
createConstant(double) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Create a constant compatible with instance order and number of parameters.
createConstant(double) - Static method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Factory method creating a constant.
createContributingStatistics() - Method in class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics
Creates and returns a SummaryStatistics whose data will be aggregated with those of this AggregateSummaryStatistics.
createDataGenerator(UniformRandomProvider) - Static method in class org.apache.commons.math4.random.RandomUtils
 
createDataGenerator(Random) - Static method in class org.apache.commons.math4.random.RandomUtils
Wraps an instance of the JDK's Random class.
createFieldDiagonalMatrix(T[]) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Returns a diagonal matrix with specified elements.
createFieldIdentityMatrix(Field<T>, int) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Returns dimension x dimension identity matrix.
createFieldMatrix(Field<T>, int, int) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Returns a FieldMatrix with specified dimensions.
createFieldMatrix(T[][]) - Static method in class org.apache.commons.math4.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.linear.MatrixUtils
Creates a FieldVector using the data from the input array.
createHermitePolynomial(int) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialsUtils
Create a Hermite polynomial.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.ode.nonstiff.DormandPrince54FieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.ode.nonstiff.DormandPrince853FieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.ode.nonstiff.EulerFieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.ode.nonstiff.GillFieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.ode.nonstiff.HighamHall54FieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.ode.nonstiff.LutherFieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.ode.nonstiff.MidpointFieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.ode.nonstiff.RungeKuttaFieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math4.ode.nonstiff.ThreeEighthesFieldIntegrator
Create an interpolator.
createInterval(int, int, double) - Method in class org.apache.commons.math4.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.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.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.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.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.analysis.polynomials.PolynomialsUtils
Create a Jacobi polynomial.
createLaguerrePolynomial(int) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialsUtils
Create a Laguerre polynomial.
createLegendrePolynomial(int) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialsUtils
Create a Legendre polynomial.
createMatrix(int, int) - Method in class org.apache.commons.math4.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.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.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.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.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.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.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.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.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.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.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.ml.neuralnet.Network
Creates a neuron and assigns it a unique identifier.
createRealDiagonalMatrix(double[]) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Creates a diagonal matrix with the specified diagonal elements.
createRealIdentityMatrix(int) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Returns dimension x dimension identity matrix.
createRealImaginaryArray(Complex[]) - Static method in class org.apache.commons.math4.transform.TransformUtils
Builds a new two dimensional array of double filled with the real and imaginary parts of the specified Complex numbers.
createRealMatrix(int, int) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Returns a RealMatrix with specified dimensions.
createRealMatrix(double[][]) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Returns a RealMatrix whose entries are the values in the the input array.
createRealMatrixWithDiagonal(double[]) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Creates a dense matrix with the specified diagonal elements.
createRealVector(double[]) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Creates a RealVector using the data from the input array.
createRowFieldMatrix(T[]) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Create a row FieldMatrix using the data from the input array.
createRowRealMatrix(double[]) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Create a row RealMatrix using the data from the input array.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.distribution.AbstractIntegerDistribution
createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.distribution.AbstractMultivariateRealDistribution
Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.distribution.AbstractRealDistribution
createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution
createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.distribution.EnumeratedDistribution
createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.distribution.EnumeratedIntegerDistribution
createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.distribution.EnumeratedRealDistribution
createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.distribution.MixtureMultivariateRealDistribution
Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.distribution.MultivariateNormalDistribution
Creates a sampler.
createSampler(UniformRandomProvider) - Method in interface org.apache.commons.math4.distribution.MultivariateRealDistribution
Creates a sampler.
createVariable(int, double) - Static method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Factory method creating an independent variable.
crossover(Chromosome, Chromosome) - Method in interface org.apache.commons.math4.genetics.CrossoverPolicy
Perform a crossover operation on the given chromosomes.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math4.genetics.CycleCrossover
Perform a crossover operation on the given chromosomes.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math4.genetics.NPointCrossover
Performs a N-point crossover.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math4.genetics.OnePointCrossover
Performs one point crossover.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math4.genetics.OrderedCrossover
Perform a crossover operation on the given chromosomes.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math4.genetics.UniformCrossover
Perform a crossover operation on the given chromosomes.
CrossoverPolicy - Interface in org.apache.commons.math4.genetics
Policy used to create a pair of new chromosomes by performing a crossover operation on a source pair of chromosomes.
cumulativeProbability(double) - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution
cumulativeProbability(int) - Method in class org.apache.commons.math4.distribution.EnumeratedIntegerDistribution
cumulativeProbability(double) - Method in class org.apache.commons.math4.distribution.EnumeratedRealDistribution
currentState - Variable in class org.apache.commons.math4.ode.sampling.AbstractStepInterpolator
current state
CycleCrossover<T> - Class in org.apache.commons.math4.genetics
Cycle Crossover [CX] builds offspring from ordered chromosomes by identifying cycles between two parent chromosomes.
CycleCrossover() - Constructor for class org.apache.commons.math4.genetics.CycleCrossover
Creates a new CycleCrossover policy.
CycleCrossover(boolean) - Constructor for class org.apache.commons.math4.genetics.CycleCrossover
Creates a new CycleCrossover policy using the given randomStart behavior.

D

DBSCANClusterer<T extends Clusterable> - Class in org.apache.commons.math4.ml.clustering
DBSCAN (density-based spatial clustering of applications with noise) algorithm.
DBSCANClusterer(double, int) - Constructor for class org.apache.commons.math4.ml.clustering.DBSCANClusterer
Creates a new instance of a DBSCANClusterer.
DBSCANClusterer(double, int, DistanceMeasure) - Constructor for class org.apache.commons.math4.ml.clustering.DBSCANClusterer
Creates a new instance of a DBSCANClusterer.
DctNormalization - Enum in org.apache.commons.math4.transform
This enumeration defines the various types of normalizations that can be applied to discrete cosine transforms (DCT).
Decimal64 - Class in org.apache.commons.math4.util
This class wraps a double value in an object.
Decimal64(double) - Constructor for class org.apache.commons.math4.util.Decimal64
Creates a new instance of this class.
Decimal64Field - Class in org.apache.commons.math4.util
The field of double precision floating-point numbers.
decode(List<T>) - Method in interface org.apache.commons.math4.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.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.linear.QRDecomposition
Decompose matrix.
decompose(double[][]) - Method in class org.apache.commons.math4.linear.RRQRDecomposition
Decompose matrix.
DecompositionSolver - Interface in org.apache.commons.math4.linear
Interface handling decomposition algorithms that can solve A × X = B.
decrementExact(int) - Static method in class org.apache.commons.math4.util.FastMath
Decrement a number, detecting overflows.
decrementExact(long) - Static method in class org.apache.commons.math4.util.FastMath
Decrement a number, detecting overflows.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator
Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math4.analysis.solvers.BaseSecantSolver
Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math4.analysis.solvers.SecantSolver
Default absolute accuracy.
DEFAULT_ABSOLUTE_POSITIVITY_THRESHOLD - Static variable in class org.apache.commons.math4.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.analysis.interpolation.LoessInterpolator
Default value for accuracy.
DEFAULT_BANDWIDTH - Static variable in class org.apache.commons.math4.analysis.interpolation.LoessInterpolator
Default value of the bandwidth parameter.
DEFAULT_BIN_COUNT - Static variable in class org.apache.commons.math4.distribution.EmpiricalDistribution
Default bin count
DEFAULT_EXTEND - Static variable in class org.apache.commons.math4.analysis.interpolation.UnivariatePeriodicInterpolator
Default number of extension points of the samples array.
DEFAULT_FORMAT - Static variable in class org.apache.commons.math4.linear.MatrixUtils
The default format for RealMatrix objects.
DEFAULT_INITIAL_RADIUS - Static variable in class org.apache.commons.math4.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
DEFAULT_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator
Default maximal iteration count.
DEFAULT_MIN_ITERATIONS_COUNT - Static variable in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator
Default minimal iteration count.
DEFAULT_NAN_STRATEGY - Static variable in class org.apache.commons.math4.stat.ranking.NaturalRanking
default NaN strategy
DEFAULT_RELATIVE_ACCURACY - Static variable in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator
Default relative accuracy.
DEFAULT_RELATIVE_SYMMETRY_THRESHOLD - Static variable in class org.apache.commons.math4.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.analysis.interpolation.LoessInterpolator
Default value of the number of robustness iterations.
DEFAULT_STOPPING_RADIUS - Static variable in class org.apache.commons.math4.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
Default value for BOBYQAOptimizer.stoppingTrustRegionRadius: 1.0E-8 .
DEFAULT_TIES_STRATEGY - Static variable in class org.apache.commons.math4.stat.ranking.NaturalRanking
default ties strategy
DEFAULT_ZERO_TOLERANCE - Static variable in class org.apache.commons.math4.linear.OpenMapRealVector
Default Tolerance for having a value considered zero.
DefaultFieldMatrixChangingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math4.linear
Default implementation of the FieldMatrixChangingVisitor interface.
DefaultFieldMatrixChangingVisitor(T) - Constructor for class org.apache.commons.math4.linear.DefaultFieldMatrixChangingVisitor
Build a new instance.
DefaultFieldMatrixPreservingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math4.linear
Default implementation of the FieldMatrixPreservingVisitor interface.
DefaultFieldMatrixPreservingVisitor(T) - Constructor for class org.apache.commons.math4.linear.DefaultFieldMatrixPreservingVisitor
Build a new instance.
DefaultIterativeLinearSolverEvent - Class in org.apache.commons.math4.linear
A default concrete implementation of the abstract class IterativeLinearSolverEvent.
DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, RealVector, double) - Constructor for class org.apache.commons.math4.linear.DefaultIterativeLinearSolverEvent
Creates a new instance of this class.
DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, double) - Constructor for class org.apache.commons.math4.linear.DefaultIterativeLinearSolverEvent
Creates a new instance of this class.
DefaultMeasurementModel - Class in org.apache.commons.math4.filter
Default implementation of a MeasurementModel for the use with a KalmanFilter.
DefaultMeasurementModel(double[][], double[][]) - Constructor for class org.apache.commons.math4.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.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.filter
Default implementation of a ProcessModel for the use with a KalmanFilter.
DefaultProcessModel(double[][], double[][], double[][], double[], double[][]) - Constructor for class org.apache.commons.math4.filter.DefaultProcessModel
Create a new ProcessModel, taking double arrays as input parameters.
DefaultProcessModel(double[][], double[][], double[][]) - Constructor for class org.apache.commons.math4.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.filter.DefaultProcessModel
Create a new ProcessModel, taking double arrays as input parameters.
DefaultRealMatrixChangingVisitor - Class in org.apache.commons.math4.linear
Default implementation of the RealMatrixChangingVisitor interface.
DefaultRealMatrixChangingVisitor() - Constructor for class org.apache.commons.math4.linear.DefaultRealMatrixChangingVisitor
 
DefaultRealMatrixPreservingVisitor - Class in org.apache.commons.math4.linear
Default implementation of the RealMatrixPreservingVisitor interface.
DefaultRealMatrixPreservingVisitor() - Constructor for class org.apache.commons.math4.linear.DefaultRealMatrixPreservingVisitor
 
DefaultTransformer - Class in org.apache.commons.math4.util
A Default NumberTransformer for java.lang.Numbers and Numeric Strings.
DefaultTransformer() - Constructor for class org.apache.commons.math4.util.DefaultTransformer
 
degree() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction
Returns the degree of the polynomial.
degree() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns the degree of the polynomial.
degree() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionNewtonForm
Returns the degree of the polynomial.
deleteLink(Neuron, Neuron) - Method in class org.apache.commons.math4.ml.neuralnet.Network
Deletes the link between neurons a and b.
deleteNeuron(Neuron) - Method in class org.apache.commons.math4.ml.neuralnet.Network
Deletes a neuron.
density(double) - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution
density(double) - Method in class org.apache.commons.math4.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.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.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.distribution.MultivariateRealDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
derivative(UnivariateDifferentiableFunction, int) - Static method in class org.apache.commons.math4.analysis.FunctionUtils
Convert an UnivariateDifferentiableFunction to an UnivariateFunction computing nth order derivative.
derivative(MultivariateDifferentiableFunction, int[]) - Static method in class org.apache.commons.math4.analysis.FunctionUtils
Convert an MultivariateDifferentiableFunction to an MultivariateFunction computing nth order derivative.
derivatives(T, int) - Method in class org.apache.commons.math4.analysis.interpolation.FieldHermiteInterpolator
Interpolate value and first derivatives at a specified abscissa.
DerivativeStructure - Class in org.apache.commons.math4.analysis.differentiation
Class representing both the value and the differentials of a function.
DerivativeStructure(int, int) - Constructor for class org.apache.commons.math4.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.analysis.differentiation.DerivativeStructure
Build an instance representing a constant value.
DerivativeStructure(int, int, int, double) - Constructor for class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Build an instance representing a variable.
DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Linear combination constructor.
DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Linear combination constructor.
DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Linear combination constructor.
DerivativeStructure(int, int, double...) - Constructor for class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Build an instance from all its derivatives.
DescriptiveStatistics - Class in org.apache.commons.math4.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.stat.descriptive.DescriptiveStatistics
Construct a DescriptiveStatistics instance with an infinite window.
DescriptiveStatistics(int) - Constructor for class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics
Construct a DescriptiveStatistics instance with the specified window.
DescriptiveStatistics(double[]) - Constructor for class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics
Construct a DescriptiveStatistics instance with an infinite window and the initial data values in initialDoubleArray.
DescriptiveStatistics(Double[]) - Constructor for class org.apache.commons.math4.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.stat.descriptive.DescriptiveStatistics
Copy constructor.
deserializeRealMatrix(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Deserialize a RealMatrix field in a class.
deserializeRealVector(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math4.linear.MatrixUtils
Deserialize a RealVector field in a class.
df(double, double, double, double) - Method in class org.apache.commons.math4.stat.inference.TTest
Computes approximate degrees of freedom for 2-sample t-test.
Dfp - Class in org.apache.commons.math4.dfp
Decimal floating point library for Java
Dfp(DfpField) - Constructor for class org.apache.commons.math4.dfp.Dfp
Makes an instance with a value of zero.
Dfp(DfpField, byte) - Constructor for class org.apache.commons.math4.dfp.Dfp
Create an instance from a byte value.
Dfp(DfpField, int) - Constructor for class org.apache.commons.math4.dfp.Dfp
Create an instance from an int value.
Dfp(DfpField, long) - Constructor for class org.apache.commons.math4.dfp.Dfp
Create an instance from a long value.
Dfp(DfpField, double) - Constructor for class org.apache.commons.math4.dfp.Dfp
Create an instance from a double value.
Dfp(Dfp) - Constructor for class org.apache.commons.math4.dfp.Dfp
Copy constructor.
Dfp(DfpField, String) - Constructor for class org.apache.commons.math4.dfp.Dfp
Create an instance from a String representation.
Dfp(DfpField, byte, byte) - Constructor for class org.apache.commons.math4.dfp.Dfp
Creates an instance with a non-finite value.
dfp2sci() - Method in class org.apache.commons.math4.dfp.Dfp
Convert an instance to a string using scientific notation.
dfp2string() - Method in class org.apache.commons.math4.dfp.Dfp
Convert an instance to a string using normal notation.
DfpDec - Class in org.apache.commons.math4.dfp
Subclass of Dfp which hides the radix-10000 artifacts of the superclass.
DfpDec(DfpField) - Constructor for class org.apache.commons.math4.dfp.DfpDec
Makes an instance with a value of zero.
DfpDec(DfpField, byte) - Constructor for class org.apache.commons.math4.dfp.DfpDec
Create an instance from a byte value.
DfpDec(DfpField, int) - Constructor for class org.apache.commons.math4.dfp.DfpDec
Create an instance from an int value.
DfpDec(DfpField, long) - Constructor for class org.apache.commons.math4.dfp.DfpDec
Create an instance from a long value.
DfpDec(DfpField, double) - Constructor for class org.apache.commons.math4.dfp.DfpDec
Create an instance from a double value.
DfpDec(Dfp) - Constructor for class org.apache.commons.math4.dfp.DfpDec
Copy constructor.
DfpDec(DfpField, String) - Constructor for class org.apache.commons.math4.dfp.DfpDec
Create an instance from a String representation.
DfpDec(DfpField, byte, byte) - Constructor for class org.apache.commons.math4.dfp.DfpDec
Creates an instance with a non-finite value.
DfpField - Class in org.apache.commons.math4.dfp
Field for Decimal floating point instances.
DfpField(int) - Constructor for class org.apache.commons.math4.dfp.DfpField
Create a factory for the specified number of radix digits.
DfpField.RoundingMode - Enum in org.apache.commons.math4.dfp
Enumerate for rounding modes.
DfpMath - Class in org.apache.commons.math4.dfp
Mathematical routines for use with Dfp.
DftNormalization - Enum in org.apache.commons.math4.transform
This enumeration defines the various types of normalizations that can be applied to discrete Fourier transforms (DFT).
DiagonalMatrix - Class in org.apache.commons.math4.linear
Implementation of a diagonal matrix.
DiagonalMatrix(int) - Constructor for class org.apache.commons.math4.linear.DiagonalMatrix
Creates a matrix with the supplied dimension.
DiagonalMatrix(double[]) - Constructor for class org.apache.commons.math4.linear.DiagonalMatrix
Creates a matrix using the input array as the underlying data.
DiagonalMatrix(double[], boolean) - Constructor for class org.apache.commons.math4.linear.DiagonalMatrix
Creates a matrix using the input array as the underlying data.
differentiate(UnivariateFunction) - Method in class org.apache.commons.math4.analysis.differentiation.FiniteDifferencesDifferentiator
Create an implementation of a differential from a regular function.
differentiate(UnivariateVectorFunction) - Method in class org.apache.commons.math4.analysis.differentiation.FiniteDifferencesDifferentiator
Create an implementation of a differential from a regular vector function.
differentiate(UnivariateMatrixFunction) - Method in class org.apache.commons.math4.analysis.differentiation.FiniteDifferencesDifferentiator
Create an implementation of a differential from a regular matrix function.
differentiate(UnivariateFunction) - Method in interface org.apache.commons.math4.analysis.differentiation.UnivariateFunctionDifferentiator
Create an implementation of a differential from a regular function.
differentiate(UnivariateMatrixFunction) - Method in interface org.apache.commons.math4.analysis.differentiation.UnivariateMatrixFunctionDifferentiator
Create an implementation of a differential from a regular matrix function.
differentiate(UnivariateVectorFunction) - Method in interface org.apache.commons.math4.analysis.differentiation.UnivariateVectorFunctionDifferentiator
Create an implementation of a differential from a regular vector function.
differentiate(double[]) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction
Returns the coefficients of the derivative of the polynomial with the given coefficients.
DifferentiatorVectorMultivariateJacobianFunction - Class in org.apache.commons.math4.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.fitting.leastsquares.DifferentiatorVectorMultivariateJacobianFunction
Build the jacobian function using a differentiator.
DimensionMismatchException - Exception in org.apache.commons.math4.exception
Exception to be thrown when two dimensions differ.
DimensionMismatchException(Localizable, int, int) - Constructor for exception org.apache.commons.math4.exception.DimensionMismatchException
Construct an exception from the mismatched dimensions.
DimensionMismatchException(int, int) - Constructor for exception org.apache.commons.math4.exception.DimensionMismatchException
Construct an exception from the mismatched dimensions.
discardFrontElements(int) - Method in class org.apache.commons.math4.util.ResizableDoubleArray
Discards the i initial elements of the array.
discardMostRecentElements(int) - Method in class org.apache.commons.math4.util.ResizableDoubleArray
Discards the i last elements of the array.
distance(Clusterable, Clusterable) - Method in class org.apache.commons.math4.ml.clustering.Clusterer
Calculates the distance between two Clusterable instances with the configured DistanceMeasure.
distance(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays
Calculates the L2 (Euclidean) distance between two points.
distance(int[], int[]) - Static method in class org.apache.commons.math4.util.MathArrays
Calculates the L2 (Euclidean) distance between two points.
distance1(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays
Calculates the L1 (sum of abs) distance between two points.
distance1(int[], int[]) - Static method in class org.apache.commons.math4.util.MathArrays
Calculates the L1 (sum of abs) distance between two points.
distanceInf(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays
Calculates the L (max of abs) distance between two points.
distanceInf(int[], int[]) - Static method in class org.apache.commons.math4.util.MathArrays
Calculates the L (max of abs) distance between two points.
DistanceMeasure - Interface in org.apache.commons.math4.ml.distance
Interface for distance measures of n-dimensional vectors.
divide(double) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
'÷' operator.
divide(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Compute this ÷ a.
divide(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler
Perform division of two derivative structures.
divide(SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Compute this ÷ a.
divide(double) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
'÷' operator.
Divide - Class in org.apache.commons.math4.analysis.function
Divide the first operand by the second.
Divide() - Constructor for class org.apache.commons.math4.analysis.function.Divide
 
divide(Dfp) - Method in class org.apache.commons.math4.dfp.Dfp
Divide this by divisor.
divide(int) - Method in class org.apache.commons.math4.dfp.Dfp
Divide by a single digit less than radix.
divide(double) - Method in class org.apache.commons.math4.dfp.Dfp
'÷' operator.
divide(T) - Method in interface org.apache.commons.math4.FieldElement
Compute this ÷ a.
divide(double) - Method in interface org.apache.commons.math4.RealFieldElement
'÷' operator.
divide(BigReal) - Method in class org.apache.commons.math4.util.BigReal
Compute this ÷ a.
divide(Decimal64) - Method in class org.apache.commons.math4.util.Decimal64
Compute this ÷ a.
divide(double) - Method in class org.apache.commons.math4.util.Decimal64
'÷' operator.
DividedDifferenceInterpolator - Class in org.apache.commons.math4.analysis.interpolation
Implements the Divided Difference Algorithm for interpolation of real univariate functions.
DividedDifferenceInterpolator() - Constructor for class org.apache.commons.math4.analysis.interpolation.DividedDifferenceInterpolator
 
doCopy() - Method in class org.apache.commons.math4.ode.sampling.AbstractStepInterpolator
Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math4.ode.sampling.NordsieckStepInterpolator
Really copy the finalized instance.
doFinalize() - Method in class org.apache.commons.math4.ode.sampling.AbstractStepInterpolator
Really finalize the step.
doIntegrate() - Method in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator
Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math4.analysis.integration.IterativeLegendreGaussIntegrator
Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math4.analysis.integration.MidPointIntegrator
Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math4.analysis.integration.RombergIntegrator
Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math4.analysis.integration.SimpsonIntegrator
Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math4.analysis.integration.TrapezoidIntegrator
Method for implementing actual integration algorithms in derived classes.
doIteration(SimplexTableau) - Method in class org.apache.commons.math4.optim.linear.SimplexSolver
Runs one iteration of the Simplex method on the given model.
doOptimize() - Method in class org.apache.commons.math4.optim.BaseMultiStartMultivariateOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math4.optim.BaseOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math4.optim.linear.SimplexSolver
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math4.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math4.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math4.optim.nonlinear.scalar.noderiv.CMAESOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math4.optim.nonlinear.scalar.noderiv.CollidingBodiesOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math4.optim.nonlinear.scalar.noderiv.PowellOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math4.optim.nonlinear.scalar.noderiv.SimplexOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math4.optim.univariate.BrentOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math4.optim.univariate.MultiStartUnivariateOptimizer
Performs the bulk of the optimization algorithm.
DormandPrince54FieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.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.ode.nonstiff.DormandPrince54FieldIntegrator
Simple constructor.
DormandPrince54FieldIntegrator(Field<T>, double, double, double[], double[]) - Constructor for class org.apache.commons.math4.ode.nonstiff.DormandPrince54FieldIntegrator
Simple constructor.
DormandPrince54Integrator - Class in org.apache.commons.math4.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.ode.nonstiff.DormandPrince54Integrator
Simple constructor.
DormandPrince54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math4.ode.nonstiff.DormandPrince54Integrator
Simple constructor.
DormandPrince853FieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.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.ode.nonstiff.DormandPrince853FieldIntegrator
Simple constructor.
DormandPrince853FieldIntegrator(Field<T>, double, double, double[], double[]) - Constructor for class org.apache.commons.math4.ode.nonstiff.DormandPrince853FieldIntegrator
Simple constructor.
DormandPrince853Integrator - Class in org.apache.commons.math4.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.ode.nonstiff.DormandPrince853Integrator
Simple constructor.
DormandPrince853Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math4.ode.nonstiff.DormandPrince853Integrator
Simple constructor.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.BaseSecantSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.BisectionSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.BracketingNthOrderBrentSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.BrentSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.LaguerreSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.MullerSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.MullerSolver2
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.NewtonRaphsonSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.RiddersSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.SecantSolver
Method for implementing actual optimization algorithms in derived classes.
dotProduct(FieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector
Compute the dot product.
dotProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector
Compute the dot product.
dotProduct(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector
Compute the dot product of this vector with v.
dotProduct(FieldVector<T>) - Method in interface org.apache.commons.math4.linear.FieldVector
Compute the dot product.
dotProduct(RealVector) - Method in class org.apache.commons.math4.linear.RealVector
Compute the dot product of this vector with v.
dotProduct(FieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector
Compute the dot product.
dotrap(int, String, Dfp, Dfp) - Method in class org.apache.commons.math4.dfp.Dfp
Raises a trap.
DoubleArray - Interface in org.apache.commons.math4.util
Provides a standard interface for double arrays.
DoublePoint - Class in org.apache.commons.math4.ml.clustering
A simple implementation of Clusterable for points with double coordinates.
DoublePoint(double[]) - Constructor for class org.apache.commons.math4.ml.clustering.DoublePoint
Build an instance wrapping an double array.
DoublePoint(int[]) - Constructor for class org.apache.commons.math4.ml.clustering.DoublePoint
Build an instance wrapping an integer array.
doubleValue() - Method in class org.apache.commons.math4.util.BigReal
Get the double value corresponding to the instance.
doubleValue() - Method in class org.apache.commons.math4.util.Decimal64
DOWNSIDE_VARIANCE - Static variable in class org.apache.commons.math4.stat.descriptive.moment.SemiVariance
The DOWNSIDE Direction is used to specify that the observations below the cutoff point will be used to calculate SemiVariance
DSCompiler - Class in org.apache.commons.math4.analysis.differentiation
Class holding "compiled" computation rules for derivative structures.
DstNormalization - Enum in org.apache.commons.math4.transform
This enumeration defines the various types of normalizations that can be applied to discrete sine transforms (DST).
DummyLocalizable - Class in org.apache.commons.math4.exception.util
Dummy implementation of the Localizable interface, without localization.
DummyLocalizable(String) - Constructor for class org.apache.commons.math4.exception.util.DummyLocalizable
Simple constructor.
DummyStepHandler - Class in org.apache.commons.math4.ode.sampling
This class is a step handler that does nothing.

E

E - Static variable in class org.apache.commons.math4.util.FastMath
Napier's constant e, base of the natural logarithm.
EarthMoversDistance - Class in org.apache.commons.math4.ml.distance
Calculates the Earh Mover's distance (also known as Wasserstein metric) between two distributions.
EarthMoversDistance() - Constructor for class org.apache.commons.math4.ml.distance.EarthMoversDistance
 
ebeAdd(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays
Creates an array whose contents will be the element-by-element addition of the arguments.
ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector
Element-by-element division.
ebeDivide(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector
Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector
Element-by-element division.
ebeDivide(FieldVector<T>) - Method in interface org.apache.commons.math4.linear.FieldVector
Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector
Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math4.linear.RealVector
Element-by-element division.
ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector
Element-by-element division.
ebeDivide(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays
Creates an array whose contents will be the element-by-element division of the first argument by the second.
ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector
Element-by-element multiplication.
ebeMultiply(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector
Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in interface org.apache.commons.math4.linear.FieldVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math4.linear.RealVector
Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector
Element-by-element multiplication.
ebeMultiply(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays
Creates an array whose contents will be the element-by-element multiplication of the arguments.
ebeSubtract(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays
Creates an array whose contents will be the element-by-element subtraction of the second argument from the first.
EigenDecomposition - Class in org.apache.commons.math4.linear
Calculates the eigen decomposition of a real matrix.
EigenDecomposition(RealMatrix) - Constructor for class org.apache.commons.math4.linear.EigenDecomposition
Calculates the eigen decomposition of the given real matrix.
EigenDecomposition(double[], double[]) - Constructor for class org.apache.commons.math4.linear.EigenDecomposition
Calculates the eigen decomposition of the symmetric tridiagonal matrix.
ElitisticListPopulation - Class in org.apache.commons.math4.genetics
Population of chromosomes which uses elitism (certain percentage of the best chromosomes is directly copied to the next generation).
ElitisticListPopulation(List<Chromosome>, int, double) - Constructor for class org.apache.commons.math4.genetics.ElitisticListPopulation
Creates a new ElitisticListPopulation instance.
ElitisticListPopulation(int, double) - Constructor for class org.apache.commons.math4.genetics.ElitisticListPopulation
Creates a new ElitisticListPopulation instance and initializes its inner chromosome list.
EmbeddedRungeKuttaFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.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.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.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
Build a Runge-Kutta integrator with the given Butcher array.
EmbeddedRungeKuttaIntegrator - Class in org.apache.commons.math4.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.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.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Build a Runge-Kutta integrator with the given Butcher array.
EmpiricalDistribution - Class in org.apache.commons.math4.distribution
Represents an empirical probability distribution -- a probability distribution derived from observed data without making any assumptions about the functional form of the population distribution that the data come from.
EmpiricalDistribution() - Constructor for class org.apache.commons.math4.distribution.EmpiricalDistribution
Creates a new EmpiricalDistribution with the default bin count.
EmpiricalDistribution(int) - Constructor for class org.apache.commons.math4.distribution.EmpiricalDistribution
Creates a new EmpiricalDistribution with the specified bin count.
end() - Method in class org.apache.commons.math4.linear.DefaultFieldMatrixChangingVisitor
End visiting a matrix.
end() - Method in class org.apache.commons.math4.linear.DefaultFieldMatrixPreservingVisitor
End visiting a matrix.
end() - Method in class org.apache.commons.math4.linear.DefaultRealMatrixChangingVisitor
End visiting a matrix.
end() - Method in class org.apache.commons.math4.linear.DefaultRealMatrixPreservingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math4.linear.FieldMatrixChangingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math4.linear.FieldMatrixPreservingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math4.linear.FieldVectorChangingVisitor
End visiting a vector.
end() - Method in interface org.apache.commons.math4.linear.FieldVectorPreservingVisitor
End visiting a vector.
end() - Method in interface org.apache.commons.math4.linear.RealMatrixChangingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math4.linear.RealMatrixPreservingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math4.linear.RealVectorChangingVisitor
End visiting a vector.
end() - Method in interface org.apache.commons.math4.linear.RealVectorPreservingVisitor
End visiting a vector.
Entry() - Constructor for class org.apache.commons.math4.linear.RealVector.Entry
Simple constructor.
entrySetIterator() - Method in class org.apache.commons.math4.stat.Frequency
Return an Iterator over the set of keys and values that have been added.
EnumeratedDistribution<T> - Class in org.apache.commons.math4.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.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.distribution
Sampler functionality.
EnumeratedIntegerDistribution - Class in org.apache.commons.math4.distribution
Implementation of an integer-valued EnumeratedDistribution.
EnumeratedIntegerDistribution(int[], double[]) - Constructor for class org.apache.commons.math4.distribution.EnumeratedIntegerDistribution
Create a discrete distribution.
EnumeratedIntegerDistribution(int[]) - Constructor for class org.apache.commons.math4.distribution.EnumeratedIntegerDistribution
Create a discrete integer-valued distribution from the input data.
EnumeratedRealDistribution - Class in org.apache.commons.math4.distribution
Implementation of a real-valued EnumeratedDistribution.
EnumeratedRealDistribution(double[], double[]) - Constructor for class org.apache.commons.math4.distribution.EnumeratedRealDistribution
Create a discrete real-valued distribution using the given random number generator and probability mass function enumeration.
EnumeratedRealDistribution(double[]) - Constructor for class org.apache.commons.math4.distribution.EnumeratedRealDistribution
Creates a discrete real-valued distribution from the input data.
equals(Object) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Test for the equality of two derivative structures.
equals(Object) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Test for the equality of two sparse gradients.
equals(Object) - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction
equals(Object) - Method in class org.apache.commons.math4.dfp.Dfp
Check if instance is equal to x.
equals(Object) - Method in class org.apache.commons.math4.field.linalg.FieldDenseMatrix
equals(Object) - Method in class org.apache.commons.math4.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.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.linear.ArrayFieldVector
Test for the equality of two vectors.
equals(Object) - Method in class org.apache.commons.math4.linear.ArrayRealVector
Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math4.linear.OpenMapRealVector
Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math4.linear.RealVector
Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math4.linear.SparseFieldVector
equals(Object) - Method in class org.apache.commons.math4.ml.clustering.DoublePoint
equals(Object) - Method in class org.apache.commons.math4.optim.linear.LinearConstraint
equals(Object) - Method in class org.apache.commons.math4.optim.linear.LinearObjectiveFunction
equals(Object) - Method in class org.apache.commons.math4.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.stat.descriptive.moment.VectorialCovariance
equals(Object) - Method in class org.apache.commons.math4.stat.descriptive.moment.VectorialMean
equals(Object) - Method in class org.apache.commons.math4.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.stat.descriptive.rank.PSquarePercentile
Returns true iff o is a PSquarePercentile returning the same values as this for getResult() and getN() and also having equal markers
equals(Object) - Method in class org.apache.commons.math4.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.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.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.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.stat.Frequency
equals(Object) - Method in class org.apache.commons.math4.util.BigReal
equals(Object) - Method in class org.apache.commons.math4.util.Decimal64
equals(Object) - Method in class org.apache.commons.math4.util.DefaultTransformer
equals(float[], float[]) - Static method in class org.apache.commons.math4.util.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(double[], double[]) - Static method in class org.apache.commons.math4.util.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(double, double) - Static method in class org.apache.commons.math4.util.MathUtils
Returns true if the values are equal according to semantics of Double.equals(Object).
equals(Object) - Method in class org.apache.commons.math4.util.Pair
Compare the specified object with this entry for equality.
equals(Object) - Method in class org.apache.commons.math4.util.ResizableDoubleArray
Returns true iff object is a ResizableDoubleArray with the same properties as this and an identical internal storage array.
equals(Object) - Method in class org.apache.commons.math4.util.TransformerMap
equalsIncludingNaN(float[], float[]) - Static method in class org.apache.commons.math4.util.MathArrays
Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by this method.
equalsIncludingNaN(double[], double[]) - Static method in class org.apache.commons.math4.util.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.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.ode.EquationsMapper
simple constructor.
ERR_SCALE - Static variable in class org.apache.commons.math4.dfp.Dfp
The amount under/overflows are scaled by before going to trap handler
estimate(double[][], int) - Static method in class org.apache.commons.math4.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.stat.descriptive.rank.Percentile.EstimationType
Estimation based on Kth selection.
estimate(int) - Method in interface org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile.PSquareMarkers
An Estimate of the percentile value of a given Marker
estimateError(T[][], T[], T[], T) - Method in class org.apache.commons.math4.ode.nonstiff.DormandPrince54FieldIntegrator
Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math4.ode.nonstiff.DormandPrince54Integrator
Compute the error ratio.
estimateError(T[][], T[], T[], T) - Method in class org.apache.commons.math4.ode.nonstiff.DormandPrince853FieldIntegrator
Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math4.ode.nonstiff.DormandPrince853Integrator
Compute the error ratio.
estimateError(T[][], T[], T[], T) - Method in class org.apache.commons.math4.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math4.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Compute the error ratio.
estimateError(T[][], T[], T[], T) - Method in class org.apache.commons.math4.ode.nonstiff.HighamHall54FieldIntegrator
Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math4.ode.nonstiff.HighamHall54Integrator
Compute the error ratio.
estimateErrorVariance() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression
Estimates the variance of the error.
estimateRegressandVariance() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression
Returns the variance of the regressand, ie Var(y).
estimateRegressandVariance() - Method in interface org.apache.commons.math4.stat.regression.MultipleLinearRegression
Returns the variance of the regressand, ie Var(y).
estimateRegressionParameters() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression
Estimates the regression parameters b.
estimateRegressionParameters() - Method in interface org.apache.commons.math4.stat.regression.MultipleLinearRegression
Estimates the regression parameters b.
estimateRegressionParametersStandardErrors() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression
Returns the standard errors of the regression parameters.
estimateRegressionParametersStandardErrors() - Method in interface org.apache.commons.math4.stat.regression.MultipleLinearRegression
Returns the standard errors of the regression parameters.
estimateRegressionParametersVariance() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression
Estimates the variance of the regression parameters, ie Var(b).
estimateRegressionParametersVariance() - Method in interface org.apache.commons.math4.stat.regression.MultipleLinearRegression
Estimates the variance of the regression parameters, ie Var(b).
estimateRegressionStandardError() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression
Estimates the standard error of the regression.
estimateResiduals() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression
Estimates the residuals, ie u = y - X*b.
estimateResiduals() - Method in interface org.apache.commons.math4.stat.regression.MultipleLinearRegression
Estimates the residuals, ie u = y - X*b.
EuclideanDistance - Class in org.apache.commons.math4.ml.distance
Calculates the L2 (Euclidean) distance between two points.
EuclideanDistance() - Constructor for class org.apache.commons.math4.ml.distance.EuclideanDistance
 
EulerFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.ode.nonstiff
This class implements a simple Euler integrator for Ordinary Differential Equations.
EulerFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math4.ode.nonstiff.EulerFieldIntegrator
Simple constructor.
EulerIntegrator - Class in org.apache.commons.math4.ode.nonstiff
This class implements a simple Euler integrator for Ordinary Differential Equations.
EulerIntegrator(double) - Constructor for class org.apache.commons.math4.ode.nonstiff.EulerIntegrator
Simple constructor.
evaluate(double[], double) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction
Uses Horner's Method to evaluate the polynomial with the given coefficients at the argument.
evaluate(double[], double[], double) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionLagrangeForm
Evaluate the Lagrange polynomial using Neville's Algorithm.
evaluate(double[], double[], double) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionNewtonForm
Evaluate the Newton polynomial using nested multiplication.
evaluate(RealVector) - Method in class org.apache.commons.math4.fitting.leastsquares.LeastSquaresAdapter
Evaluate the model at the specified point.
evaluate(RealVector) - Method in interface org.apache.commons.math4.fitting.leastsquares.LeastSquaresProblem
Evaluate the model at the specified point.
evaluate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math4.optim.nonlinear.scalar.noderiv.AbstractSimplex
Evaluate all the non-evaluated points of the simplex.
evaluate(double[]) - Method in class org.apache.commons.math4.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.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.stat.descriptive.AbstractUnivariateStatistic
Returns the result of evaluating the statistic over the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.AbstractUnivariateStatistic
Returns the result of evaluating the statistic over the specified entries in the input array.
evaluate() - Method in class org.apache.commons.math4.stat.descriptive.AbstractUnivariateStatistic
Returns the result of evaluating the statistic over the stored data.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.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.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.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[], double[], int, int) - Method in class org.apache.commons.math4.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[]) - Method in class org.apache.commons.math4.stat.descriptive.moment.Mean
Returns the weighted arithmetic mean of the entries in the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.moment.SemiVariance
Returns the SemiVariance of the designated values against the mean, using instance properties varianceDirection and biasCorrection.
evaluate(double[], SemiVariance.Direction) - Method in class org.apache.commons.math4.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(double[], double) - Method in class org.apache.commons.math4.stat.descriptive.moment.SemiVariance
Returns the SemiVariance of the designated values against the cutoff, using instance properties variancDirection and biasCorrection.
evaluate(double[], double, SemiVariance.Direction) - Method in class org.apache.commons.math4.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.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[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.moment.Skewness
Returns the Skewness of the entries in the specified portion of the input array.
evaluate(double[]) - Method in class org.apache.commons.math4.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[], int, int) - Method in class org.apache.commons.math4.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[], double, int, int) - Method in class org.apache.commons.math4.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) - Method in class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation
Returns the Standard Deviation of the entries in the input array, using the precomputed mean value.
evaluate(double[]) - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance
Returns the variance of the entries in the input array, or Double.NaN if the array is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.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[], double[], int, int) - Method in class org.apache.commons.math4.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[]) - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance
Returns the weighted variance of the entries in the input array.
evaluate(double[], double, int, int) - Method in class org.apache.commons.math4.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) - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance
Returns the variance of the entries in the input array, using the precomputed mean value.
evaluate(double[], double[], double, int, int) - Method in class org.apache.commons.math4.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[], double) - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance
Returns the weighted variance of the values in the input array, using the precomputed weighted mean value.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.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.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[], double, KthSelector) - Method in enum org.apache.commons.math4.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[], double, KthSelector) - Method in enum org.apache.commons.math4.stat.descriptive.rank.Percentile.EstimationType
Evaluate method to compute the percentile for a given bounded array.
evaluate(double[], double[], double) - Method in enum org.apache.commons.math4.stat.descriptive.rank.Percentile.EstimationType
Evaluate weighted percentile by estimation rule specified in Percentile.EstimationType.
evaluate(double) - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile
Returns the result of evaluating the statistic over the stored data.
evaluate(double[], double) - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile
Returns an estimate of the pth percentile of the values in the values array.
evaluate(double[], double[], double) - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile
Returns an estimate of the pth percentile of the values in the values array with their weights.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile
Returns an estimate of the quantileth percentile of the designated values in the values array.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile
Returns an estimate of the weighted quantileth percentile of the designated values in the values array.
evaluate(double[], int, int, double) - Method in class org.apache.commons.math4.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[], double[], int, int, double) - Method in class org.apache.commons.math4.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[], int, int) - Method in class org.apache.commons.math4.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[], double[], int, int) - Method in class org.apache.commons.math4.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[]) - Method in class org.apache.commons.math4.stat.descriptive.summary.Product
Returns the weighted product of the entries in the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.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[], double[], int, int) - Method in class org.apache.commons.math4.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[]) - Method in class org.apache.commons.math4.stat.descriptive.summary.Sum
The weighted sum of the entries in the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.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.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[]) - Method in interface org.apache.commons.math4.stat.descriptive.UnivariateStatistic
Returns the result of evaluating the statistic over the input array.
evaluate(double[], int, int) - Method in interface org.apache.commons.math4.stat.descriptive.UnivariateStatistic
Returns the result of evaluating the statistic over the specified entries in the input array.
evaluate(double[], double[]) - Method in interface org.apache.commons.math4.stat.descriptive.WeightedEvaluation
Returns the result of evaluating the statistic over the input array, using the supplied weights.
evaluate(double[], double[], int, int) - Method in interface org.apache.commons.math4.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[]) - Method in interface org.apache.commons.math4.util.MathArrays.Function
Operates on an entire array.
evaluate(double[], int, int) - Method in interface org.apache.commons.math4.util.MathArrays.Function
 
evaluateStep(StepInterpolator) - Method in class org.apache.commons.math4.ode.events.EventState
Evaluate the impact of the proposed step on the event handler.
evaluateStep(FieldStepInterpolator<T>) - Method in class org.apache.commons.math4.ode.events.FieldEventState
Evaluate the impact of the proposed step on the event handler.
evaluationChecker(ConvergenceChecker<PointVectorValuePair>) - Static method in class org.apache.commons.math4.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.fitting.leastsquares
Check if an optimization has converged based on the change in computed RMS.
EvaluationRmsChecker(double) - Constructor for class org.apache.commons.math4.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.fitting.leastsquares.EvaluationRmsChecker
Create a convergence checker for the RMS with a relative and absolute tolerance.
EventFilter - Class in org.apache.commons.math4.ode.events
Wrapper used to detect only increasing or decreasing events.
EventFilter(EventHandler, FilterType) - Constructor for class org.apache.commons.math4.ode.events.EventFilter
Wrap an event handler.
EventHandler - Interface in org.apache.commons.math4.ode.events
This interface represents a handler for discrete events triggered during ODE integration.
EventHandler.Action - Enum in org.apache.commons.math4.ode.events
Enumerate for actions to be performed when an event occurs.
eventOccurred(double, double[], boolean) - Method in class org.apache.commons.math4.ode.events.EventFilter
Handle an event and choose what to do next.
eventOccurred(double, double[], boolean) - Method in interface org.apache.commons.math4.ode.events.EventHandler
Handle an event and choose what to do next.
eventOccurred(FieldODEStateAndDerivative<T>, boolean) - Method in interface org.apache.commons.math4.ode.events.FieldEventHandler
Handle an event and choose what to do next.
EventState - Class in org.apache.commons.math4.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.ode.events.EventState
Simple constructor.
evolve(Population, StoppingCondition) - Method in class org.apache.commons.math4.genetics.GeneticAlgorithm
Evolve the given population.
exactLog2(int) - Static method in class org.apache.commons.math4.transform.TransformUtils
Returns the base-2 logarithm of the specified int.
exactP(double, int, int, boolean) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
 
exactP(double, int, int, boolean) - Method in class org.apache.commons.math4.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.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.exception.util.ExceptionContext
Simple constructor.
ExceptionContextProvider - Interface in org.apache.commons.math4.exception.util
Interface for accessing the context data structure stored in Commons Math exceptions.
exp() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Exponential.
exp(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler
Compute exponential of a derivative structure.
exp() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Exponential.
Exp - Class in org.apache.commons.math4.analysis.function
Exponential function.
Exp() - Constructor for class org.apache.commons.math4.analysis.function.Exp
 
exp - Variable in class org.apache.commons.math4.dfp.Dfp
Exponent.
exp() - Method in class org.apache.commons.math4.dfp.Dfp
Exponential.
exp(Dfp) - Static method in class org.apache.commons.math4.dfp.DfpMath
Computes e to the given power.
exp() - Method in interface org.apache.commons.math4.RealFieldElement
Exponential.
exp() - Method in class org.apache.commons.math4.util.Decimal64
Exponential.
exp(double) - Static method in class org.apache.commons.math4.util.FastMath
Exponential function.
expand() - Method in class org.apache.commons.math4.util.ResizableDoubleArray
Expands the internal storage array using the expansion factor.
ExpandableStatefulODE - Class in org.apache.commons.math4.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.ode.ExpandableStatefulODE
Build an expandable set from its primary ODE set.
expInternal(Dfp) - Static method in class org.apache.commons.math4.dfp.DfpMath
Computes e to the given power.
expm1() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Exponential minus 1.
expm1(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler
Compute exp(x) - 1 of a derivative structure.
expm1() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Exponential minus 1.
Expm1 - Class in org.apache.commons.math4.analysis.function
ex-1 function.
Expm1() - Constructor for class org.apache.commons.math4.analysis.function.Expm1
 
expm1() - Method in class org.apache.commons.math4.dfp.Dfp
Exponential minus 1.
expm1() - Method in interface org.apache.commons.math4.RealFieldElement
Exponential minus 1.
expm1() - Method in class org.apache.commons.math4.util.Decimal64
Exponential minus 1.
expm1(double) - Static method in class org.apache.commons.math4.util.FastMath
Compute exp(x) - 1
exponentialDecay(double, double, long) - Static method in class org.apache.commons.math4.ml.neuralnet.sofm.LearningFactorFunctionFactory
Creates an exponential decay function.
exponentialDecay(double, double, long) - Static method in class org.apache.commons.math4.ml.neuralnet.sofm.NeighbourhoodSizeFunctionFactory
Creates an exponential decay function.
ExponentialDecayFunction - Class in org.apache.commons.math4.ml.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.ml.neuralnet.sofm.util.ExponentialDecayFunction
Creates an instance.
extractEquationData(double[], double[]) - Method in class org.apache.commons.math4.ode.EquationsMapper
Extract equation data from a complete state or derivative array.
extractEquationData(int, T[]) - Method in class org.apache.commons.math4.ode.FieldEquationsMapper
Extract equation data from a complete state or derivative array.
extractField(T[][]) - Static method in class org.apache.commons.math4.linear.AbstractFieldMatrix
Get the elements type from an array.
extractField(T[]) - Static method in class org.apache.commons.math4.linear.AbstractFieldMatrix
Get the elements type from an array.

F

FastCosineTransformer - Class in org.apache.commons.math4.transform
Implements the Fast Cosine Transform for transformation of one-dimensional real data sets.
FastCosineTransformer(DctNormalization) - Constructor for class org.apache.commons.math4.transform.FastCosineTransformer
Creates a new instance of this class, with various normalization conventions.
FastFourierTransformer - Class in org.apache.commons.math4.transform
Implements the Fast Fourier Transform for transformation of one-dimensional real or complex data sets.
FastFourierTransformer(DftNormalization) - Constructor for class org.apache.commons.math4.transform.FastFourierTransformer
Creates a new instance of this class, with various normalization conventions.
FastHadamardTransformer - Class in org.apache.commons.math4.transform
Implements the Fast Hadamard Transform (FHT).
FastHadamardTransformer() - Constructor for class org.apache.commons.math4.transform.FastHadamardTransformer
 
FastMath - Class in org.apache.commons.math4.util
Faster, more accurate, portable alternative to Math and StrictMath for large scale computation.
FastSineTransformer - Class in org.apache.commons.math4.transform
Implements the Fast Sine Transform for transformation of one-dimensional real data sets.
FastSineTransformer(DstNormalization) - Constructor for class org.apache.commons.math4.transform.FastSineTransformer
Creates a new instance of this class, with various normalization conventions.
fct(double[]) - Method in class org.apache.commons.math4.transform.FastCosineTransformer
Perform the FCT algorithm (including inverse).
FeatureInitializer - Interface in org.apache.commons.math4.ml.neuralnet
Defines how to assign the first value of a neuron's feature.
FeatureInitializerFactory - Class in org.apache.commons.math4.ml.neuralnet
Creates functions that will select the initial values of a neuron's features.
fht(double[]) - Method in class org.apache.commons.math4.transform.FastHadamardTransformer
The FHT (Fast Hadamard Transformation) which uses only subtraction and addition.
fht(int[]) - Method in class org.apache.commons.math4.transform.FastHadamardTransformer
Returns the forward transform of the specified integer data set.
Field<T> - Interface in org.apache.commons.math4
Interface representing a field.
FieldBracketingNthOrderBrentSolver<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.analysis.solvers
This class implements a modification of the Brent algorithm.
FieldBracketingNthOrderBrentSolver(T, T, T, int) - Constructor for class org.apache.commons.math4.analysis.solvers.FieldBracketingNthOrderBrentSolver
Construct a solver.
FieldButcherArrayProvider<T extends RealFieldElement<T>> - Interface in org.apache.commons.math4.ode.nonstiff
This interface represents an integrator based on Butcher arrays.
FieldDecompositionSolver<T> - Interface in org.apache.commons.math4.field.linalg
Interface handling decomposition algorithms that can solve A X = B.
FieldDecompositionSolver<T extends FieldElement<T>> - Interface in org.apache.commons.math4.linear
Interface handling decomposition algorithms that can solve A × X = B.
FieldDenseMatrix<T> - Class in org.apache.commons.math4.field.linalg
Square matrix whose elements define a Field.
FieldDenseMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math4.field.linalg.FieldDenseMatrix
 
FieldElement<T> - Interface in org.apache.commons.math4
Interface representing field elements.
FieldEquationsMapper<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.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.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.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.ode.events.FieldEventState
Simple constructor.
FieldExpandableODE<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.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.ode.FieldExpandableODE
Build an expandable set from its primary ODE set.
FieldFixedStepHandler<T extends RealFieldElement<T>> - Interface in org.apache.commons.math4.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.analysis.interpolation
Polynomial interpolator using both sample values and sample derivatives.
FieldHermiteInterpolator() - Constructor for class org.apache.commons.math4.analysis.interpolation.FieldHermiteInterpolator
Create an empty interpolator.
FieldLUDecomposition<T> - Class in org.apache.commons.math4.field.linalg
Calculates the LUP-decomposition of a square matrix.
FieldLUDecomposition<T extends FieldElement<T>> - Class in org.apache.commons.math4.linear
Calculates the LUP-decomposition of a square matrix.
FieldLUDecomposition(FieldMatrix<T>) - Constructor for class org.apache.commons.math4.linear.FieldLUDecomposition
Calculates the LU-decomposition of the given matrix.
FieldMatrix<T extends FieldElement<T>> - Interface in org.apache.commons.math4.linear
Interface defining field-valued matrix with basic algebraic operations.
FieldMatrixChangingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math4.linear
Interface defining a visitor for matrix entries.
FieldMatrixPreservingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math4.linear
Interface defining a visitor for matrix entries.
FieldODEState<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.ode
Container for time, main and secondary state vectors.
FieldODEState(T, T[]) - Constructor for class org.apache.commons.math4.ode.FieldODEState
Simple constructor.
FieldODEState(T, T[], T[][]) - Constructor for class org.apache.commons.math4.ode.FieldODEState
Simple constructor.
FieldODEStateAndDerivative<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.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.ode.FieldODEStateAndDerivative
Simple constructor.
FieldODEStateAndDerivative(T, T[], T[], T[][], T[][]) - Constructor for class org.apache.commons.math4.ode.FieldODEStateAndDerivative
Simple constructor.
FieldSecondaryEquations<T extends RealFieldElement<T>> - Interface in org.apache.commons.math4.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.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.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.ode.sampling
This class wraps an object implementing FieldFixedStepHandler into a FieldStepHandler.
FieldStepNormalizer(double, FieldFixedStepHandler<T>) - Constructor for class org.apache.commons.math4.ode.sampling.FieldStepNormalizer
Simple constructor.
FieldStepNormalizer(double, FieldFixedStepHandler<T>, StepNormalizerMode) - Constructor for class org.apache.commons.math4.ode.sampling.FieldStepNormalizer
Simple constructor.
FieldStepNormalizer(double, FieldFixedStepHandler<T>, StepNormalizerBounds) - Constructor for class org.apache.commons.math4.ode.sampling.FieldStepNormalizer
Simple constructor.
FieldStepNormalizer(double, FieldFixedStepHandler<T>, StepNormalizerMode, StepNormalizerBounds) - Constructor for class org.apache.commons.math4.ode.sampling.FieldStepNormalizer
Simple constructor.
FieldVector<T extends FieldElement<T>> - Interface in org.apache.commons.math4.linear
Interface defining a field-valued vector with basic algebraic operations.
FieldVectorChangingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math4.linear
This interface defines a visitor for the entries of a vector.
FieldVectorPreservingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math4.linear
This interface defines a visitor for the entries of a vector.
fill(T) - Method in class org.apache.commons.math4.field.linalg.FieldDenseMatrix
Sets all elements to the given value.
filterStep(T, boolean, boolean) - Method in class org.apache.commons.math4.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
Filter the integration step.
filterStep(double, boolean, boolean) - Method in class org.apache.commons.math4.ode.nonstiff.AdaptiveStepsizeIntegrator
Filter the integration step.
FilterType - Enum in org.apache.commons.math4.ode.events
Enumerate for filtering events.
finalizeStep() - Method in class org.apache.commons.math4.ode.sampling.AbstractStepInterpolator
Finalize the step.
findSameChromosome(Population) - Method in class org.apache.commons.math4.genetics.Chromosome
Searches the population for another chromosome with the same representation.
FINITE - Static variable in class org.apache.commons.math4.dfp.Dfp
Indicator value for normal finite numbers.
FiniteDifferencesDifferentiator - Class in org.apache.commons.math4.analysis.differentiation
Univariate functions differentiator using finite differences.
FiniteDifferencesDifferentiator(int, double) - Constructor for class org.apache.commons.math4.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.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.util.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.util.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.util.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.util.IterationManager
Informs all registered listeners that the final phase (post-iterations) has been completed.
firstIncluded() - Method in enum org.apache.commons.math4.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.ode
This class converts second order differential equations to first order ones.
FirstOrderConverter(SecondOrderDifferentialEquations) - Constructor for class org.apache.commons.math4.ode.FirstOrderConverter
Simple constructor.
FirstOrderDifferentialEquations - Interface in org.apache.commons.math4.ode
This interface represents a first order differential equations set.
FirstOrderFieldDifferentialEquations<T extends RealFieldElement<T>> - Interface in org.apache.commons.math4.ode
This interface represents a first order differential equations set.
FirstOrderFieldIntegrator<T extends RealFieldElement<T>> - Interface in org.apache.commons.math4.ode
This interface represents a first order integrator for differential equations.
FirstOrderIntegrator - Interface in org.apache.commons.math4.ode
This interface represents a first order integrator for differential equations.
fit(MixtureMultivariateNormalDistribution, int, double) - Method in class org.apache.commons.math4.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
Fit a mixture model to the data supplied to the constructor.
fit(MixtureMultivariateNormalDistribution) - Method in class org.apache.commons.math4.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
Fit a mixture model to the data supplied to the constructor.
fit(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math4.fitting.AbstractCurveFitter
Fits a curve.
Fitness - Interface in org.apache.commons.math4.genetics
Fitness of a chromosome.
fitness() - Method in interface org.apache.commons.math4.genetics.Fitness
Compute the fitness.
fix1stArgument(BivariateFunction, double) - Static method in class org.apache.commons.math4.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.analysis.FunctionUtils
Creates a unary function by fixing the second argument of a binary function.
FixedElapsedTime - Class in org.apache.commons.math4.genetics
Stops after a fixed amount of time has elapsed.
FixedElapsedTime(long) - Constructor for class org.apache.commons.math4.genetics.FixedElapsedTime
Create a new FixedElapsedTime instance.
FixedElapsedTime(long, TimeUnit) - Constructor for class org.apache.commons.math4.genetics.FixedElapsedTime
Create a new FixedElapsedTime instance.
FixedGenerationCount - Class in org.apache.commons.math4.genetics
Stops after a fixed number of generations.
FixedGenerationCount(int) - Constructor for class org.apache.commons.math4.genetics.FixedGenerationCount
Create a new FixedGenerationCount instance.
FixedStepHandler - Interface in org.apache.commons.math4.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.dfp.DfpField
IEEE 854-1987 flag for division by zero.
FLAG_INEXACT - Static variable in class org.apache.commons.math4.dfp.DfpField
IEEE 854-1987 flag for inexact result.
FLAG_INVALID - Static variable in class org.apache.commons.math4.dfp.DfpField
IEEE 854-1987 flag for invalid operation.
FLAG_OVERFLOW - Static variable in class org.apache.commons.math4.dfp.DfpField
IEEE 854-1987 flag for overflow.
FLAG_UNDERFLOW - Static variable in class org.apache.commons.math4.dfp.DfpField
IEEE 854-1987 flag for underflow.
flatten(Object[]) - Static method in class org.apache.commons.math4.exception.util.ArgUtils
Transform a multidimensional array into a one-dimensional list.
floatValue() - Method in class org.apache.commons.math4.util.Decimal64
The current implementation performs casting to a float.
floor() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Get the largest whole number smaller than instance.
floor() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Get the largest whole number smaller than instance.
Floor - Class in org.apache.commons.math4.analysis.function
floor function.
Floor() - Constructor for class org.apache.commons.math4.analysis.function.Floor
 
floor() - Method in class org.apache.commons.math4.dfp.Dfp
Round to an integer using the round floor mode.
floor() - Method in interface org.apache.commons.math4.RealFieldElement
Get the largest whole number smaller than instance.
floor() - Method in class org.apache.commons.math4.util.Decimal64
Get the largest whole number smaller than instance.
floor(double) - Static method in class org.apache.commons.math4.util.FastMath
Get the largest whole number smaller than x.
floorDiv(int, int) - Static method in class org.apache.commons.math4.util.FastMath
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.util.FastMath
Finds q 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.util.FastMath
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.util.FastMath
Finds r such that a = q b + r with 0 <= r < b if b > 0 and b < r <= 0 if b < 0.
forceSide(int, UnivariateFunction, BracketedUnivariateSolver<UnivariateFunction>, double, double, double, AllowedSolution) - Static method in class org.apache.commons.math4.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(Complex) - Method in class org.apache.commons.math4.complex.ComplexFormat
format(Double) - Method in class org.apache.commons.math4.complex.ComplexFormat
format(Complex, StringBuffer, FieldPosition) - Method in class org.apache.commons.math4.complex.ComplexFormat
Formats a Complex object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math4.complex.ComplexFormat
Formats a object to produce a string.
format(RealMatrix) - Method in class org.apache.commons.math4.linear.RealMatrixFormat
format(RealMatrix, StringBuffer, FieldPosition) - Method in class org.apache.commons.math4.linear.RealMatrixFormat
Formats a RealMatrix object to produce a string.
format(RealVector) - Method in class org.apache.commons.math4.linear.RealVectorFormat
format(RealVector, StringBuffer, FieldPosition) - Method in class org.apache.commons.math4.linear.RealVectorFormat
Formats a RealVector object to produce a string.
formatDouble(double, NumberFormat, StringBuffer, FieldPosition) - Static method in class org.apache.commons.math4.util.CompositeFormat
Formats a double value to produce a string.
fraction(int, int) - Method in class org.apache.commons.math4.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
Create a fraction.
fraction(double, double) - Method in class org.apache.commons.math4.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
Create a fraction.
fraction(int, int) - Method in class org.apache.commons.math4.ode.nonstiff.RungeKuttaFieldIntegrator
Create a fraction.
FREE - Static variable in class org.apache.commons.math4.util.OpenIntToDoubleHashMap
Status indicator for free table entries.
FREE - Static variable in class org.apache.commons.math4.util.OpenIntToFieldHashMap
Status indicator for free table entries.
Frequency<T extends Comparable<T>> - Class in org.apache.commons.math4.stat
Maintains a frequency distribution.
Frequency() - Constructor for class org.apache.commons.math4.stat.Frequency
Default constructor.
Frequency(Comparator<T>) - Constructor for class org.apache.commons.math4.stat.Frequency
Constructor allowing values Comparator to be specified.
fst(double[]) - Method in class org.apache.commons.math4.transform.FastSineTransformer
Perform the FST algorithm (including inverse).
FULL - Static variable in class org.apache.commons.math4.util.OpenIntToDoubleHashMap
Status indicator for full table entries.
FULL - Static variable in class org.apache.commons.math4.util.OpenIntToFieldHashMap
Status indicator for full table entries.
function(UnivariateFunction, double, double) - Static method in class org.apache.commons.math4.ml.neuralnet.FeatureInitializerFactory
Creates an initializer from a univariate function f(x).
FunctionUtils - Class in org.apache.commons.math4.analysis
Utilities for manipulating function objects.
FuzzyKMeansClusterer<T extends Clusterable> - Class in org.apache.commons.math4.ml.clustering
Fuzzy K-Means clustering algorithm.
FuzzyKMeansClusterer(int, double) - Constructor for class org.apache.commons.math4.ml.clustering.FuzzyKMeansClusterer
Creates a new instance of a FuzzyKMeansClusterer.
FuzzyKMeansClusterer(int, double, int, DistanceMeasure) - Constructor for class org.apache.commons.math4.ml.clustering.FuzzyKMeansClusterer
Creates a new instance of a FuzzyKMeansClusterer.
FuzzyKMeansClusterer(int, double, int, DistanceMeasure, double, UniformRandomProvider) - Constructor for class org.apache.commons.math4.ml.clustering.FuzzyKMeansClusterer
Creates a new instance of a FuzzyKMeansClusterer.

G

g(double, double[]) - Method in class org.apache.commons.math4.ode.events.EventFilter
Compute the value of the switching function.
g(double, double[]) - Method in interface org.apache.commons.math4.ode.events.EventHandler
Compute the value of the switching function.
g(FieldODEStateAndDerivative<T>) - Method in interface org.apache.commons.math4.ode.events.FieldEventHandler
Compute the value of the switching function.
g(double[], long[]) - Method in class org.apache.commons.math4.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.stat.inference.InferenceTestUtils
 
Gaussian - Class in org.apache.commons.math4.analysis.function
Gaussian function.
Gaussian(double, double, double) - Constructor for class org.apache.commons.math4.analysis.function.Gaussian
Gaussian with given normalization factor, mean and standard deviation.
Gaussian(double, double) - Constructor for class org.apache.commons.math4.analysis.function.Gaussian
Normalized gaussian with given mean and standard deviation.
Gaussian() - Constructor for class org.apache.commons.math4.analysis.function.Gaussian
Normalized gaussian with zero mean and unit standard deviation.
Gaussian.Parametric - Class in org.apache.commons.math4.analysis.function
Parametric function where the input array contains the parameters of the Gaussian, ordered as follows: Norm Mean Standard deviation
GaussianCurveFitter - Class in org.apache.commons.math4.fitting
Fits points to a Gaussian function.
GaussianCurveFitter.ParameterGuesser - Class in org.apache.commons.math4.fitting
Guesses the parameters norm, mean, and sigma of a Gaussian.Parametric based on the specified observed points.
GaussianRandomGenerator - Class in org.apache.commons.math4.random
Random generator that generates normally distributed samples.
GaussianRandomGenerator(UniformRandomProvider) - Constructor for class org.apache.commons.math4.random.GaussianRandomGenerator
Creates a new generator.
GaussIntegrator - Class in org.apache.commons.math4.analysis.integration.gauss
Class that implements the Gaussian rule for integrating a weighted function.
GaussIntegrator(double[], double[]) - Constructor for class org.apache.commons.math4.analysis.integration.gauss.GaussIntegrator
Creates an integrator from the given points and weights.
GaussIntegrator(Pair<double[], double[]>) - Constructor for class org.apache.commons.math4.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.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.analysis.integration.gauss.GaussIntegratorFactory
 
GaussNewtonOptimizer - Class in org.apache.commons.math4.fitting.leastsquares
Gauss-Newton least-squares solver.
GaussNewtonOptimizer() - Constructor for class org.apache.commons.math4.fitting.leastsquares.GaussNewtonOptimizer
Creates a Gauss Newton optimizer.
GaussNewtonOptimizer(GaussNewtonOptimizer.Decomposition) - Constructor for class org.apache.commons.math4.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.fitting.leastsquares
The decomposition algorithm to use to solve the normal equations.
gDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math4.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.stat.inference.InferenceTestUtils
 
GeneticAlgorithm - Class in org.apache.commons.math4.genetics
Implementation of a genetic algorithm.
GeneticAlgorithm(CrossoverPolicy, double, MutationPolicy, double, SelectionPolicy) - Constructor for class org.apache.commons.math4.genetics.GeneticAlgorithm
Create a new genetic algorithm.
GeometricMean - Class in org.apache.commons.math4.stat.descriptive.moment
Returns the geometric mean of the available values.
GeometricMean() - Constructor for class org.apache.commons.math4.stat.descriptive.moment.GeometricMean
Create a GeometricMean instance.
GeometricMean(GeometricMean) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.GeometricMean
Copy constructor, creates a new GeometricMean identical to the original.
GeometricMean(SumOfLogs) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.GeometricMean
Create a GeometricMean instance using the given SumOfLogs instance
geometricMean(double[]) - Static method in class org.apache.commons.math4.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.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.
get(int, int) - Method in class org.apache.commons.math4.field.linalg.FieldDenseMatrix
Gets an element.
get(int) - Method in class org.apache.commons.math4.util.OpenIntToDoubleHashMap
Get the stored value associated with the given key
get(int) - Method in class org.apache.commons.math4.util.OpenIntToFieldHashMap
Get the stored value associated with the given key
getA() - Method in class org.apache.commons.math4.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator
Get the internal weights from Butcher array (without the first empty row).
getA() - Method in class org.apache.commons.math4.ode.nonstiff.DormandPrince54FieldIntegrator
Get the internal weights from Butcher array (without the first empty row).
getA() - Method in class org.apache.commons.math4.ode.nonstiff.DormandPrince853FieldIntegrator
Get the internal weights from Butcher array (without the first empty row).
getA() - Method in class org.apache.commons.math4.ode.nonstiff.EulerFieldIntegrator
Get the internal weights from Butcher array (without the first empty row).
getA() - Method in interface org.apache.commons.math4.ode.nonstiff.FieldButcherArrayProvider
Get the internal weights from Butcher array (without the first empty row).
getA() - Method in class org.apache.commons.math4.ode.nonstiff.GillFieldIntegrator
Get the internal weights from Butcher array (without the first empty row).
getA() - Method in class org.apache.commons.math4.ode.nonstiff.HighamHall54FieldIntegrator
Get the internal weights from Butcher array (without the first empty row).
getA() - Method in class org.apache.commons.math4.ode.nonstiff.LutherFieldIntegrator
Get the internal weights from Butcher array (without the first empty row).
getA() - Method in class org.apache.commons.math4.ode.nonstiff.MidpointFieldIntegrator
Get the internal weights from Butcher array (without the first empty row).
getA() - Method in class org.apache.commons.math4.ode.nonstiff.ThreeEighthesFieldIntegrator
Get the internal weights from Butcher array (without the first empty row).
getAbsoluteAccuracy() - Method in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator
Get the absolute accuracy.
getAbsoluteAccuracy() - Method in interface org.apache.commons.math4.analysis.integration.UnivariateIntegrator
Get the absolute accuracy.
getAbsoluteAccuracy() - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver
Get the absolute accuracy of the solver.
getAbsoluteAccuracy() - Method in interface org.apache.commons.math4.analysis.solvers.BaseUnivariateSolver
Get the absolute accuracy of the solver.
getAbsoluteAccuracy() - Method in interface org.apache.commons.math4.analysis.solvers.BracketedRealFieldUnivariateSolver
Get the absolute accuracy of the solver.
getAbsoluteAccuracy() - Method in class org.apache.commons.math4.analysis.solvers.FieldBracketingNthOrderBrentSolver
Get the absolute accuracy.
getAbsoluteThreshold() - Method in class org.apache.commons.math4.optim.AbstractConvergenceChecker
 
getAdjustedRSquared() - Method in class org.apache.commons.math4.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.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.analysis.differentiation.DerivativeStructure
Get all partial derivatives.
getArgument() - Method in exception org.apache.commons.math4.exception.MathIllegalNumberException
 
getArity() - Method in class org.apache.commons.math4.genetics.TournamentSelection
Gets the arity (number of chromosomes drawn to the tournament).
getArrayRef() - Method in class org.apache.commons.math4.util.ResizableDoubleArray
Provides direct access to the internal storage array.
getAvailableLocales() - Static method in class org.apache.commons.math4.complex.ComplexFormat
Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math4.linear.RealMatrixFormat
Get the set of locales for which real vectors formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math4.linear.RealVectorFormat
Get the set of locales for which real vectors formats are available.
getB() - Method in class org.apache.commons.math4.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator
Get the external weights for the high order method from Butcher array.
getB() - Method in class org.apache.commons.math4.ode.nonstiff.DormandPrince54FieldIntegrator
Get the external weights for the high order method from Butcher array.
getB() - Method in class org.apache.commons.math4.ode.nonstiff.DormandPrince853FieldIntegrator
Get the external weights for the high order method from Butcher array.
getB() - Method in class org.apache.commons.math4.ode.nonstiff.EulerFieldIntegrator
Get the external weights for the high order method from Butcher array.
getB() - Method in interface org.apache.commons.math4.ode.nonstiff.FieldButcherArrayProvider
Get the external weights for the high order method from Butcher array.
getB() - Method in class org.apache.commons.math4.ode.nonstiff.GillFieldIntegrator
Get the external weights for the high order method from Butcher array.
getB() - Method in class org.apache.commons.math4.ode.nonstiff.HighamHall54FieldIntegrator
Get the external weights for the high order method from Butcher array.
getB() - Method in class org.apache.commons.math4.ode.nonstiff.LutherFieldIntegrator
Get the external weights for the high order method from Butcher array.
getB() - Method in class org.apache.commons.math4.ode.nonstiff.MidpointFieldIntegrator
Get the external weights for the high order method from Butcher array.
getB() - Method in class org.apache.commons.math4.ode.nonstiff.ThreeEighthesFieldIntegrator
Get the external weights for the high order method from Butcher array.
getBinCount() - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution
Returns the number of bins.
getBinStats() - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution
Returns a List of SummaryStatistics instances containing statistics describing the values in each of the bins.
getBoundIsAllowed() - Method in exception org.apache.commons.math4.exception.NumberIsTooLargeException
 
getBoundIsAllowed() - Method in exception org.apache.commons.math4.exception.NumberIsTooSmallException
 
getC() - Method in class org.apache.commons.math4.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator
Get the time steps from Butcher array (without the first zero).
getC() - Method in class org.apache.commons.math4.ode.nonstiff.DormandPrince54FieldIntegrator
Get the time steps from Butcher array (without the first zero).
getC() - Method in class org.apache.commons.math4.ode.nonstiff.DormandPrince853FieldIntegrator
Get the time steps from Butcher array (without the first zero).
getC() - Method in class org.apache.commons.math4.ode.nonstiff.EulerFieldIntegrator
Get the time steps from Butcher array (without the first zero).
getC() - Method in interface org.apache.commons.math4.ode.nonstiff.FieldButcherArrayProvider
Get the time steps from Butcher array (without the first zero).
getC() - Method in class org.apache.commons.math4.ode.nonstiff.GillFieldIntegrator
Get the time steps from Butcher array (without the first zero).
getC() - Method in class org.apache.commons.math4.ode.nonstiff.HighamHall54FieldIntegrator
Get the time steps from Butcher array (without the first zero).
getC() - Method in class org.apache.commons.math4.ode.nonstiff.LutherFieldIntegrator
Get the time steps from Butcher array (without the first zero).
getC() - Method in class org.apache.commons.math4.ode.nonstiff.MidpointFieldIntegrator
Get the time steps from Butcher array (without the first zero).
getC() - Method in class org.apache.commons.math4.ode.nonstiff.ThreeEighthesFieldIntegrator
Get the time steps from Butcher array (without the first zero).
getCapacity() - Method in class org.apache.commons.math4.util.ResizableDoubleArray
Gets the currently allocated size of the internal data structure used for storing elements.
getCenters() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionNewtonForm
Returns a copy of the centers array.
getCheck() - Method in class org.apache.commons.math4.linear.ConjugateGradient
Returns true if positive-definiteness should be checked for both matrix and preconditioner.
getCheck() - Method in class org.apache.commons.math4.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.fitting.leastsquares.AbstractEvaluation
Get the sum of the squares of the residuals.
getChiSquare() - Method in interface org.apache.commons.math4.fitting.leastsquares.LeastSquaresProblem.Evaluation
Get the sum of the squares of the residuals.
getChromosomeList() - Method in class org.apache.commons.math4.genetics.ListPopulation
Access the list of chromosomes.
getChromosomes() - Method in class org.apache.commons.math4.genetics.ListPopulation
Returns an unmodifiable list of the chromosomes in this population.
getClopperPearsonInterval(int, int, double) - Static method in class org.apache.commons.math4.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.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.analysis.polynomials.PolynomialFunction
Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionNewtonForm
Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math4.analysis.solvers.AbstractPolynomialSolver
 
getCoefficients() - Method in class org.apache.commons.math4.optim.linear.LinearConstraint
Gets the coefficients of the constraint (left hand side).
getCoefficients() - Method in class org.apache.commons.math4.optim.linear.LinearObjectiveFunction
Gets the coefficients of the linear equation being optimized.
getColumn(int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix
Get the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix
Get the entries at the given column index as an array.
getColumn(int) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix
Get the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math4.linear.BlockRealMatrix
Get the entries at the given column index as an array.
getColumn(int) - Method in interface org.apache.commons.math4.linear.FieldMatrix
Get the entries in column number col as an array.
getColumn() - Method in exception org.apache.commons.math4.linear.NonPositiveDefiniteMatrixException
 
getColumn() - Method in exception org.apache.commons.math4.linear.NonSymmetricMatrixException
 
getColumn(int) - Method in interface org.apache.commons.math4.linear.RealMatrix
Get the entries at the given column index as an array.
getColumn() - Method in class org.apache.commons.math4.ml.neuralnet.twod.util.LocationFinder.Location
 
getColumnDimension() - Method in class org.apache.commons.math4.field.linalg.FieldDenseMatrix
Gets the number of columns.
getColumnDimension() - Method in interface org.apache.commons.math4.linear.AnyMatrix
Gets the number of columns.
getColumnDimension() - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix
Gets the number of columns.
getColumnDimension() - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix
Returns the dimension of the domain of this operator.
getColumnDimension() - Method in class org.apache.commons.math4.linear.BlockFieldMatrix
Gets the number of columns.
getColumnDimension() - Method in class org.apache.commons.math4.linear.BlockRealMatrix
Returns the dimension of the domain of this operator.
getColumnDimension() - Method in class org.apache.commons.math4.linear.DiagonalMatrix
Returns the dimension of the domain of this operator.
getColumnDimension() - Method in class org.apache.commons.math4.linear.JacobiPreconditioner
Returns the dimension of the domain of this operator.
getColumnDimension() - Method in class org.apache.commons.math4.linear.OpenMapRealMatrix
Returns the dimension of the domain of this operator.
getColumnDimension() - Method in class org.apache.commons.math4.linear.RealLinearOperator
Returns the dimension of the domain of this operator.
getColumnDimension() - Method in class org.apache.commons.math4.linear.SparseFieldMatrix
Gets the number of columns.
getColumnMatrix(int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix
Get the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix
Get the entries at the given column index as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix
Get the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math4.linear.BlockRealMatrix
Get the entries at the given column index as a column matrix.
getColumnMatrix(int) - Method in interface org.apache.commons.math4.linear.FieldMatrix
Get the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in interface org.apache.commons.math4.linear.RealMatrix
Get the entries at the given column index as a column matrix.
getColumnSeparator() - Method in class org.apache.commons.math4.linear.RealMatrixFormat
Get the format separator between components.
getColumnVector(int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix
Get the entries at the given column index as a vector.
getColumnVector(int) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in class org.apache.commons.math4.linear.BlockRealMatrix
Get the entries at the given column index as a vector.
getColumnVector(int) - Method in interface org.apache.commons.math4.linear.FieldMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in interface org.apache.commons.math4.linear.RealMatrix
Get the entries at the given column index as a vector.
getCompiler(int, int) - Static method in class org.apache.commons.math4.analysis.differentiation.DSCompiler
Get the compiler for number of free parameters and order.
getCompleteState() - Method in class org.apache.commons.math4.ode.ExpandableStatefulODE
Get the complete current state.
getComponents() - Method in class org.apache.commons.math4.distribution.MixtureMultivariateRealDistribution
Gets the distributions that make up the mixture model.
getConditionNumber() - Method in class org.apache.commons.math4.linear.SingularValueDecomposition
Return the condition number of the matrix.
getConfidenceLevel() - Method in class org.apache.commons.math4.stat.interval.ConfidenceInterval
 
getConstantTerm() - Method in class org.apache.commons.math4.optim.linear.LinearObjectiveFunction
Gets the constant of the linear equation being optimized.
getConstraints() - Method in class org.apache.commons.math4.optim.linear.LinearConstraintSet
Gets the set of linear constraints.
getConstraints() - Method in class org.apache.commons.math4.optim.linear.LinearOptimizer
 
getContext() - Method in exception org.apache.commons.math4.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.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.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.
getContractionCriterion() - Method in class org.apache.commons.math4.util.ResizableDoubleArray
The contraction criterion defines when the internal array will contract to store only the number of elements in the element array.
getControlMatrix() - Method in class org.apache.commons.math4.filter.DefaultProcessModel
Returns the control matrix.
getControlMatrix() - Method in interface org.apache.commons.math4.filter.ProcessModel
Returns the control matrix.
getConvergence() - Method in class org.apache.commons.math4.ode.events.EventState
Get the convergence threshold for event localization.
getConvergence() - Method in class org.apache.commons.math4.ode.events.FieldEventState
Get the convergence threshold for event localization.
getConvergenceChecker() - Method in class org.apache.commons.math4.fitting.leastsquares.LeastSquaresAdapter
Gets the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math4.optim.AbstractOptimizationProblem
Gets the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math4.optim.BaseOptimizer
Gets the convergence checker.
getConvergenceChecker() - Method in interface org.apache.commons.math4.optim.OptimizationProblem
Gets the convergence checker.
getCorrelationMatrix() - Method in class org.apache.commons.math4.stat.correlation.KendallsCorrelation
Returns the correlation matrix.
getCorrelationMatrix() - Method in class org.apache.commons.math4.stat.correlation.PearsonsCorrelation
Returns the correlation matrix.
getCorrelationMatrix() - Method in class org.apache.commons.math4.stat.correlation.SpearmansCorrelation
Calculate the Spearman Rank Correlation Matrix.
getCorrelationPValues() - Method in class org.apache.commons.math4.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.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.fitting.leastsquares.AbstractEvaluation
Get the cost.
getCost() - Method in interface org.apache.commons.math4.fitting.leastsquares.LeastSquaresProblem.Evaluation
Get the cost.
getCostRelativeTolerance() - Method in class org.apache.commons.math4.fitting.leastsquares.LevenbergMarquardtOptimizer
Gets the value of a tuning parameter.
getCount(T) - Method in class org.apache.commons.math4.stat.Frequency
Returns the number of values equal to v.
getCount() - Method in class org.apache.commons.math4.util.IntegerSequence.Incrementor
Gets the current count.
getCounter() - Method in class org.apache.commons.math4.ode.AbstractIntegrator
Get the evaluations counter.
getCovariance(double) - Method in class org.apache.commons.math4.linear.SingularValueDecomposition
Returns the n × n covariance matrix.
getCovariance(int, int) - Method in class org.apache.commons.math4.stat.correlation.StorelessCovariance
Get the covariance for an individual element of the covariance matrix.
getCovariance() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics
Returns the covariance matrix of the values that have been added.
getCovariance() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalMultivariateSummary
Returns the covariance of the available values.
getCovariance() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the covariance matrix of the values that have been added.
getCovarianceMatrix() - Method in class org.apache.commons.math4.stat.correlation.Covariance
Returns the covariance matrix
getCovarianceMatrix() - Method in class org.apache.commons.math4.stat.correlation.StorelessCovariance
Returns the covariance matrix
getCovarianceOfParameters(int, int) - Method in class org.apache.commons.math4.stat.regression.RegressionResults
Returns the covariance between regression parameters i and j.
getCovariances() - Method in class org.apache.commons.math4.distribution.MultivariateNormalDistribution
Gets the covariance matrix.
getCovariances(double) - Method in class org.apache.commons.math4.fitting.leastsquares.AbstractEvaluation
Get the covariance matrix of the optimized parameters.
getCovariances(double) - Method in interface org.apache.commons.math4.fitting.leastsquares.LeastSquaresProblem.Evaluation
Get the covariance matrix of the optimized parameters.
getCrossoverPoints() - Method in class org.apache.commons.math4.genetics.NPointCrossover
Returns the number of crossover points used by this CrossoverPolicy.
getCrossoverPolicy() - Method in class org.apache.commons.math4.genetics.GeneticAlgorithm
Returns the crossover policy.
getCrossoverRate() - Method in class org.apache.commons.math4.genetics.GeneticAlgorithm
Returns the crossover rate.
getCumFreq(T) - Method in class org.apache.commons.math4.stat.Frequency
Returns the cumulative frequency of values less than or equal to v.
getCumPct(T) - Method in class org.apache.commons.math4.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.ode.JacobianMatrices
Get the current value of the Jacobian matrix with respect to state.
getCurrentParameterJacobian(String, double[]) - Method in class org.apache.commons.math4.ode.JacobianMatrices
Get the current value of the Jacobian matrix with respect to one parameter.
getCurrentSignedStepsize() - Method in class org.apache.commons.math4.ode.AbstractFieldIntegrator
Get the current signed value of the integration stepsize.
getCurrentSignedStepsize() - Method in class org.apache.commons.math4.ode.AbstractIntegrator
Get the current signed value of the integration stepsize.
getCurrentSignedStepsize() - Method in interface org.apache.commons.math4.ode.FirstOrderFieldIntegrator
Get the current signed value of the integration stepsize.
getCurrentSignedStepsize() - Method in interface org.apache.commons.math4.ode.ODEIntegrator
Get the current signed value of the integration stepsize.
getCurrentState() - Method in class org.apache.commons.math4.ode.sampling.AbstractFieldStepInterpolator
Get the state at current grid point time.
getCurrentState() - Method in interface org.apache.commons.math4.ode.sampling.FieldStepInterpolator
Get the state at current grid point time.
getCurrentStepStart() - Method in class org.apache.commons.math4.ode.AbstractFieldIntegrator
Get the current value of the step start time ti.
getCurrentStepStart() - Method in class org.apache.commons.math4.ode.AbstractIntegrator
Get the current value of the step start time ti.
getCurrentStepStart() - Method in interface org.apache.commons.math4.ode.FirstOrderFieldIntegrator
Get the current value of the step start time ti.
getCurrentStepStart() - Method in class org.apache.commons.math4.ode.nonstiff.AdaptiveStepsizeIntegrator
Get the current value of the step start time ti.
getCurrentStepStart() - Method in interface org.apache.commons.math4.ode.ODEIntegrator
Get the current value of the step start time ti.
getCurrentTime() - Method in class org.apache.commons.math4.ode.sampling.AbstractStepInterpolator
Get the current soft grid point time.
getCurrentTime() - Method in interface org.apache.commons.math4.ode.sampling.StepInterpolator
Get the current grid point time.
getD() - Method in class org.apache.commons.math4.linear.EigenDecomposition
Gets the block diagonal matrix D of the decomposition.
getData() - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math4.linear.AbstractRealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math4.linear.BlockFieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math4.linear.BlockRealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math4.linear.DiagonalMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in interface org.apache.commons.math4.linear.FieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in interface org.apache.commons.math4.linear.RealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math4.stat.correlation.StorelessCovariance
Return the covariance matrix as two-dimensional array.
getData() - Method in class org.apache.commons.math4.stat.descriptive.AbstractUnivariateStatistic
Get a copy of the stored data array.
getDataPoints() - Method in class org.apache.commons.math4.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.linear.Array2DRowFieldMatrix
Get a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix
Get a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math4.linear.ArrayFieldVector
Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math4.linear.ArrayRealVector
Get a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math4.linear.DiagonalMatrix
Gets a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math4.stat.descriptive.AbstractUnivariateStatistic
Get a reference to the stored data array.
getDecimalDigits() - Method in class org.apache.commons.math4.dfp.DfpDec
Get the number of decimal digits this class is going to represent.
getDecomposition() - Method in class org.apache.commons.math4.fitting.leastsquares.GaussNewtonOptimizer
Get the matrix decomposition algorithm used to solve the normal equations.
getDefaultNumberFormat() - Static method in class org.apache.commons.math4.util.CompositeFormat
Create a default number format.
getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math4.util.CompositeFormat
Create a default number format.
getDerivative(int) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Get the derivative with respect to a particular index variable.
getDerivative() - Method in class org.apache.commons.math4.ode.FieldODEStateAndDerivative
Get derivative of the main state at time.
getDeterminant() - Method in class org.apache.commons.math4.field.linalg.FieldLUDecomposition
Return the determinant of the matrix.
getDeterminant() - Method in class org.apache.commons.math4.linear.CholeskyDecomposition
Return the determinant of the matrix
getDeterminant() - Method in class org.apache.commons.math4.linear.EigenDecomposition
Computes the determinant of the matrix.
getDeterminant() - Method in class org.apache.commons.math4.linear.FieldLUDecomposition
Return the determinant of the matrix.
getDeterminant() - Method in class org.apache.commons.math4.linear.LUDecomposition
Return the determinant of the matrix
getDiagonalOfHatMatrix(double[]) - Method in class org.apache.commons.math4.stat.regression.MillerUpdatingRegression
Gets the diagonal of the Hat matrix also known as the leverage matrix.
getDimension() - Method in class org.apache.commons.math4.analysis.interpolation.InterpolatingMicrosphere
Get the space dimensionality.
getDimension() - Method in class org.apache.commons.math4.distribution.AbstractMultivariateRealDistribution
Gets the number of random variables of the distribution.
getDimension() - Method in interface org.apache.commons.math4.distribution.MultivariateRealDistribution
Gets the number of random variables of the distribution.
getDimension() - Method in exception org.apache.commons.math4.exception.DimensionMismatchException
 
getDimension() - Method in class org.apache.commons.math4.linear.ArrayFieldVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math4.linear.ArrayRealVector
Returns the size of the vector.
getDimension() - Method in interface org.apache.commons.math4.linear.FieldVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math4.linear.OpenMapRealVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math4.linear.RealVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math4.linear.SparseFieldVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math4.ode.EquationsMapper
Get the dimension of the secondary state parameters.
getDimension() - Method in interface org.apache.commons.math4.ode.FieldSecondaryEquations
Get the dimension of the secondary state parameters.
getDimension() - Method in class org.apache.commons.math4.ode.FirstOrderConverter
Get the dimension of the problem.
getDimension() - Method in interface org.apache.commons.math4.ode.FirstOrderDifferentialEquations
Get the dimension of the problem.
getDimension() - Method in interface org.apache.commons.math4.ode.FirstOrderFieldDifferentialEquations
Get the dimension of the problem.
getDimension() - Method in interface org.apache.commons.math4.ode.SecondaryEquations
Get the dimension of the secondary state parameters.
getDimension() - Method in interface org.apache.commons.math4.ode.SecondOrderDifferentialEquations
Get the dimension of the problem.
getDimension() - Method in class org.apache.commons.math4.optim.nonlinear.scalar.noderiv.AbstractSimplex
Get simplex dimension.
getDimension() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics
Returns the dimension of the data
getDimension() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalMultivariateSummary
Returns the dimension of the data
getDimension() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the dimension of the data
getDirection() - Method in exception org.apache.commons.math4.exception.NonMonotonicSequenceException
 
getDistance(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector
Distance between two vectors.
getDistance(OpenMapRealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector
Optimized method to compute distance.
getDistance(RealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector
Distance between two vectors.
getDistance(RealVector) - Method in class org.apache.commons.math4.linear.RealVector
Distance between two vectors.
getDistanceMeasure() - Method in class org.apache.commons.math4.ml.clustering.Clusterer
Returns the DistanceMeasure instance used by this clusterer.
getE() - Method in class org.apache.commons.math4.dfp.DfpField
Get the constant e.
getEigenvector(int) - Method in class org.apache.commons.math4.linear.EigenDecomposition
Gets a copy of the ith eigenvector of the original matrix.
getElement(int) - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics
Returns the element at the specified index
getElement(int) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics
Returns the element at the specified index
getElement(int) - Method in interface org.apache.commons.math4.util.DoubleArray
Returns the element at the specified index.
getElement(int) - Method in class org.apache.commons.math4.util.ResizableDoubleArray
Returns the element at the specified index.
getElements() - Method in interface org.apache.commons.math4.util.DoubleArray
Returns a double[] array containing the elements of this DoubleArray.
getElements() - Method in class org.apache.commons.math4.util.ResizableDoubleArray
Returns a double array containing the elements of this ResizableArray.
getElitismRate() - Method in class org.apache.commons.math4.genetics.ElitisticListPopulation
Access the elitism rate.
getEntry(int, int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix
Get the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix
Get the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math4.linear.ArrayFieldVector
Returns the entry in the specified index.
getEntry(int) - Method in class org.apache.commons.math4.linear.ArrayRealVector
Return the entry at the specified index.
getEntry(int, int) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math4.linear.BlockRealMatrix
Get the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math4.linear.DiagonalMatrix
Get the entry in the specified row and column.
getEntry(int, int) - Method in interface org.apache.commons.math4.linear.FieldMatrix
Returns the entry in the specified row and column.
getEntry(int) - Method in interface org.apache.commons.math4.linear.FieldVector
Returns the entry in the specified index.
getEntry(int, int) - Method in class org.apache.commons.math4.linear.OpenMapRealMatrix
Get the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math4.linear.OpenMapRealVector
Return the entry at the specified index.
getEntry(int, int) - Method in interface org.apache.commons.math4.linear.RealMatrix
Get the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math4.linear.RealVector
Return the entry at the specified index.
getEntry(int, int) - Method in class org.apache.commons.math4.linear.SparseFieldMatrix
Returns the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math4.linear.SparseFieldVector
Returns the entry in the specified index.
getEps() - Method in class org.apache.commons.math4.ml.clustering.DBSCANClusterer
Returns the maximum radius of the neighborhood to be considered.
getEpsilon() - Method in class org.apache.commons.math4.ml.clustering.FuzzyKMeansClusterer
Returns the convergence criteria used by this instance.
getEquations() - Method in class org.apache.commons.math4.ode.AbstractFieldIntegrator
Get the differential equations to integrate.
getErrorCovariance() - Method in class org.apache.commons.math4.filter.KalmanFilter
Returns the current error covariance matrix.
getErrorCovarianceMatrix() - Method in class org.apache.commons.math4.filter.KalmanFilter
Returns a copy of the current error covariance matrix.
getErrorSumSquares() - Method in class org.apache.commons.math4.stat.regression.RegressionResults
Returns the sum of squared errors (SSE) associated with the regression model.
getESplit() - Method in class org.apache.commons.math4.dfp.DfpField
Get the constant e split in two pieces.
getEstimationType() - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile
Get the estimation type used for computation.
getEvaluationCounter() - Method in class org.apache.commons.math4.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.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.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.analysis.integration.BaseAbstractUnivariateIntegrator
Get the number of function evaluations of the last run of the integrator.
getEvaluations() - Method in interface org.apache.commons.math4.analysis.integration.UnivariateIntegrator
Get the number of function evaluations of the last run of the integrator.
getEvaluations() - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver
Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math4.analysis.solvers.BaseUnivariateSolver
Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math4.analysis.solvers.BracketedRealFieldUnivariateSolver
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math4.analysis.solvers.FieldBracketingNthOrderBrentSolver
Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math4.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.ode.AbstractFieldIntegrator
Get the number of evaluations of the differential equations function.
getEvaluations() - Method in class org.apache.commons.math4.ode.AbstractIntegrator
Get the number of evaluations of the differential equations function.
getEvaluations() - Method in interface org.apache.commons.math4.ode.FirstOrderFieldIntegrator
Get the number of evaluations of the differential equations function.
getEvaluations() - Method in interface org.apache.commons.math4.ode.ODEIntegrator
Get the number of evaluations of the differential equations function.
getEvaluations() - Method in class org.apache.commons.math4.optim.BaseMultiStartMultivariateOptimizer
Gets the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math4.optim.BaseOptimizer
Gets the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math4.optim.univariate.BracketFinder
 
getEvaluations() - Method in class org.apache.commons.math4.optim.univariate.MultiStartUnivariateOptimizer
Gets the number of evaluations of the objective function.
getEvaluationsCounter() - Method in class org.apache.commons.math4.ode.AbstractFieldIntegrator
Get the evaluations counter.
getEventHandler() - Method in class org.apache.commons.math4.ode.events.EventState
Get the underlying event handler.
getEventHandler() - Method in class org.apache.commons.math4.ode.events.FieldEventState
Get the underlying event handler.
getEventHandlers() - Method in class org.apache.commons.math4.ode.AbstractFieldIntegrator
Get all the event handlers that have been added to the integrator.
getEventHandlers() - Method in class org.apache.commons.math4.ode.AbstractIntegrator
Get all the event handlers that have been added to the integrator.
getEventHandlers() - Method in interface org.apache.commons.math4.ode.FirstOrderFieldIntegrator
Get all the event handlers that have been added to the integrator.
getEventHandlers() - Method in interface org.apache.commons.math4.ode.ODEIntegrator
Get all the event handlers that have been added to the integrator.
getEventTime() - Method in class org.apache.commons.math4.ode.events.EventState
Get the occurrence time of the event triggered in the current step.
getEventTime() - Method in class org.apache.commons.math4.ode.events.FieldEventState
Get the occurrence time of the event triggered in the current step.
getExpandable() - Method in class org.apache.commons.math4.ode.AbstractIntegrator
Get the differential equations to integrate.
getExpansionFactor() - Method in class org.apache.commons.math4.util.ResizableDoubleArray
The expansion factor controls the size of a new array when an array needs to be expanded.
getExpansionMode() - Method in class org.apache.commons.math4.util.ResizableDoubleArray
The expansion mode determines whether the internal storage array grows additively or multiplicatively when it is expanded.
getExpectedColumnDimension() - Method in exception org.apache.commons.math4.linear.MatrixDimensionMismatchException
 
getExpectedDimension(int) - Method in exception org.apache.commons.math4.exception.MultiDimensionMismatchException
 
getExpectedDimensions() - Method in exception org.apache.commons.math4.exception.MultiDimensionMismatchException
 
getExpectedRowDimension() - Method in exception org.apache.commons.math4.linear.MatrixDimensionMismatchException
 
getExponent() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Return the exponent of the instance value, removing the bias.
getExponent(double) - Static method in class org.apache.commons.math4.util.FastMath
Return the exponent of a double number, removing the bias.
getExponent(float) - Static method in class org.apache.commons.math4.util.FastMath
Return the exponent of a float number, removing the bias.
getFeatures() - Method in class org.apache.commons.math4.ml.neuralnet.Neuron
Gets the neuron's features.
getFeatures(int) - Method in class org.apache.commons.math4.ml.neuralnet.oned.NeuronString
Retrieves the features set from the neuron at location i in the map.
getFeaturesSize() - Method in class org.apache.commons.math4.ml.neuralnet.Network
Gets the size of the neurons' features set.
getFHi() - Method in exception org.apache.commons.math4.exception.NoBracketingException
Get the value at the higher end of the interval.
getFHi() - Method in class org.apache.commons.math4.optim.univariate.BracketFinder
Get function value at BracketFinder.getHi().
getField() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math4.dfp.Dfp
Get the Field (really a DfpField) to which the instance belongs.
getField() - Method in class org.apache.commons.math4.field.linalg.FieldDenseMatrix
 
getField() - Method in interface org.apache.commons.math4.FieldElement
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix
Get the type of field elements of the matrix.
getField() - Method in class org.apache.commons.math4.linear.ArrayFieldVector
Get the type of field elements of the vector.
getField() - Method in interface org.apache.commons.math4.linear.FieldMatrix
Get the type of field elements of the matrix.
getField() - Method in interface org.apache.commons.math4.linear.FieldVector
Get the type of field elements of the vector.
getField() - Method in class org.apache.commons.math4.linear.SparseFieldVector
Get the type of field elements of the vector.
getField() - Method in class org.apache.commons.math4.ode.AbstractFieldIntegrator
Get the field to which state vector elements belong.
getField() - Method in class org.apache.commons.math4.util.BigReal
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math4.util.Decimal64
Get the Field to which the instance belongs.
getFinalTime() - Method in class org.apache.commons.math4.ode.ContinuousOutputFieldModel
Get the final integration time.
getFinalTime() - Method in class org.apache.commons.math4.ode.ContinuousOutputModel
Get the final integration time.
getFirst() - Method in class org.apache.commons.math4.genetics.ChromosomePair
Access the first chromosome.
getFirst() - Method in class org.apache.commons.math4.util.Pair
Get the first element of the pair.
getFirstIndex() - Method in class org.apache.commons.math4.ode.EquationsMapper
Get the index of the first equation element in complete state arrays.
getFitness() - Method in class org.apache.commons.math4.genetics.Chromosome
Access the fitness of this chromosome.
getFittedModel() - Method in class org.apache.commons.math4.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
Gets the fitted model.
getFittestChromosome() - Method in class org.apache.commons.math4.genetics.ListPopulation
Access the fittest chromosome in this population.
getFittestChromosome() - Method in interface org.apache.commons.math4.genetics.Population
Access the fittest chromosome in this population.
getFLo() - Method in exception org.apache.commons.math4.exception.NoBracketingException
Get the value at the lower end of the interval.
getFLo() - Method in class org.apache.commons.math4.optim.univariate.BracketFinder
Get function value at BracketFinder.getLo().
getFMid() - Method in class org.apache.commons.math4.optim.univariate.BracketFinder
Get function value at BracketFinder.getMid().
getFormat() - Method in class org.apache.commons.math4.linear.RealMatrixFormat
Get the components format.
getFormat() - Method in class org.apache.commons.math4.linear.RealVectorFormat
Get the components format.
getFreeParameters() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure
Get the number of free parameters.
getFreeParameters() - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler
Get the number of free parameters.
getFrobeniusNorm() - Method in class org.apache.commons.math4.linear.AbstractRealMatrix
Returns the Frobenius norm of the matrix.
getFrobeniusNorm() - Method in class org.apache.commons.math4.linear.BlockRealMatrix
Returns the Frobenius norm of the matrix.
getFrobeniusNorm() - Method in interface org.apache.commons.math4.linear.RealMatrix
Returns the Frobenius norm of the matrix.
getFunction() - Method in class org.apache.commons.math4.optim.linear.LinearOptimizer
 
getFunctionValueAccuracy() - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver
Get the function value accuracy of the solver.
getFunctionValueAccuracy() - Method in interface org.apache.commons.math4.analysis.solvers.BaseUnivariateSolver
Get the function value accuracy of the solver.
getFunctionValueAccuracy() - Method in interface org.apache.commons.math4.analysis.solvers.BracketedRealFieldUnivariateSolver
Get the function value accuracy of the solver.
getFunctionValueAccuracy() - Method in class org.apache.commons.math4.analysis.solvers.FieldBracketingNthOrderBrentSolver
Get the function accuracy.
getFuzziness() - Method in class org.apache.commons.math4.ml.clustering.FuzzyKMeansClusterer
Returns the fuzziness factor used by this instance.
getGenerationsEvolved() - Method in class org.apache.commons.math4.genetics.GeneticAlgorithm
Returns the number of generations evolved to reach StoppingCondition in the last run.
getGenerator() - Method in class org.apache.commons.math4.random.CorrelatedRandomVectorGenerator
Get the underlying normalized components generator.
getGeneratorUpperBounds() - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution
Returns a fresh copy of the array of upper bounds of the subintervals of [0,1] used in generating data from the empirical distribution.
getGeoMeanImpl() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics
Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured geometric mean implementation
getGeometricMean() - Method in class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics
Returns the geometric mean of all the aggregated data.
getGeometricMean() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics
Returns the geometric mean of the available values.
getGeometricMean() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getGeometricMean() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that correspond to each multivariate sample
getGeometricMean() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics
Returns the geometric mean of the values that have been added.
getGeometricMean() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getGeometricMean() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics
Returns the geometric mean of the values that have been added.
getGeometricMeanImpl() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics
Returns the currently configured geometric mean implementation.
getGlobalCurrentState() - Method in class org.apache.commons.math4.ode.sampling.AbstractFieldStepInterpolator
Get the current global grid point state.
getGlobalCurrentTime() - Method in class org.apache.commons.math4.ode.sampling.AbstractStepInterpolator
Get the current global grid point time.
getGlobalPreviousState() - Method in class org.apache.commons.math4.ode.sampling.AbstractFieldStepInterpolator
Get the previous global grid point state.
getGlobalPreviousTime() - Method in class org.apache.commons.math4.ode.sampling.AbstractStepInterpolator
Get the previous global grid point time.
getGoalType() - Method in class org.apache.commons.math4.optim.nonlinear.scalar.MultivariateOptimizer
 
getGoalType() - Method in class org.apache.commons.math4.optim.univariate.UnivariateOptimizer
 
getH() - Method in class org.apache.commons.math4.linear.QRDecomposition
Returns the Householder reflector vectors.
getHi() - Method in exception org.apache.commons.math4.exception.NoBracketingException
Get the higher end of the interval.
getHi() - Method in exception org.apache.commons.math4.exception.OutOfRangeException
 
getHi() - Method in class org.apache.commons.math4.optim.univariate.BracketFinder
 
getIdentifier() - Method in class org.apache.commons.math4.ml.neuralnet.Neuron
Gets the neuron's identifier.
getIEEEFlags() - Method in class org.apache.commons.math4.dfp.DfpField
Get the IEEE 854 status flags.
getImagEigenvalue(int) - Method in class org.apache.commons.math4.linear.EigenDecomposition
Gets the imaginary part of the ith eigenvalue of the original matrix.
getImagEigenvalues() - Method in class org.apache.commons.math4.linear.EigenDecomposition
Gets a copy of the imaginary parts of the eigenvalues of the original matrix.
getImaginaryCharacter() - Method in class org.apache.commons.math4.complex.ComplexFormat
Access the imaginaryCharacter.
getImaginaryFormat() - Method in class org.apache.commons.math4.complex.ComplexFormat
Access the imaginaryFormat.
getIndex() - Method in exception org.apache.commons.math4.exception.NonMonotonicSequenceException
Get the index of the wrong value.
getIndex() - Method in class org.apache.commons.math4.linear.OpenMapRealVector.OpenMapEntry
Get the index of the entry.
getIndex() - Method in class org.apache.commons.math4.linear.RealVector.Entry
Get the index of the entry.
getInitialErrorCovariance() - Method in class org.apache.commons.math4.filter.DefaultProcessModel
Returns the initial error covariance matrix.
getInitialErrorCovariance() - Method in interface org.apache.commons.math4.filter.ProcessModel
Returns the initial error covariance matrix.
getInitialGuess() - Method in class org.apache.commons.math4.optim.InitialGuess
Gets the initial guess.
getInitialStateEstimate() - Method in class org.apache.commons.math4.filter.DefaultProcessModel
Returns the initial state estimation vector.
getInitialStateEstimate() - Method in interface org.apache.commons.math4.filter.ProcessModel
Returns the initial state estimation vector.
getInitialStepBoundFactor() - Method in class org.apache.commons.math4.fitting.leastsquares.LevenbergMarquardtOptimizer
Gets the value of a tuning parameter.
getInitialTime() - Method in class org.apache.commons.math4.ode.ContinuousOutputFieldModel
Get the initial integration time.
getInitialTime() - Method in class org.apache.commons.math4.ode.ContinuousOutputModel
Get the initial integration time.
getInstance() - Static method in class org.apache.commons.math4.complex.ComplexFormat
Returns the default complex format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math4.complex.ComplexFormat
Returns the default complex format for the given locale.
getInstance(String, Locale) - Static method in class org.apache.commons.math4.complex.ComplexFormat
Returns the default complex format for the given locale.
getInstance() - Static method in class org.apache.commons.math4.linear.RealMatrixFormat
Returns the default real vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math4.linear.RealMatrixFormat
Returns the default real vector format for the given locale.
getInstance() - Static method in class org.apache.commons.math4.linear.RealVectorFormat
Returns the default real vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math4.linear.RealVectorFormat
Returns the default real vector format for the given locale.
getInstance(Field<T>, int) - Static method in class org.apache.commons.math4.ode.nonstiff.AdamsNordsieckFieldTransformer
Get the Nordsieck transformer for a given field and number of steps.
getInstance(int) - Static method in class org.apache.commons.math4.ode.nonstiff.AdamsNordsieckTransformer
Get the Nordsieck transformer for a given number of steps.
getInstance() - Static method in class org.apache.commons.math4.ode.sampling.DummyStepHandler
Get the only instance.
getInstance() - Static method in class org.apache.commons.math4.util.BigRealField
Get the unique instance.
getInstance() - Static method in class org.apache.commons.math4.util.Decimal64Field
Returns the unique instance of this class.
getIntercept() - Method in class org.apache.commons.math4.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.stat.regression.SimpleRegression
Returns the standard error of the intercept estimate, usually denoted s(b0).
getInterpolatedDerivatives() - Method in class org.apache.commons.math4.ode.ContinuousOutputModel
Get the derivatives of the state vector of the interpolated point.
getInterpolatedDerivatives() - Method in class org.apache.commons.math4.ode.sampling.AbstractStepInterpolator
Get the derivatives of the state vector of the interpolated point.
getInterpolatedDerivatives() - Method in interface org.apache.commons.math4.ode.sampling.StepInterpolator
Get the derivatives of the state vector of the interpolated point.
getInterpolatedSecondaryDerivatives(int) - Method in class org.apache.commons.math4.ode.ContinuousOutputModel
Get the interpolated secondary derivatives corresponding to the secondary equations.
getInterpolatedSecondaryDerivatives(int) - Method in class org.apache.commons.math4.ode.sampling.AbstractStepInterpolator
Get the interpolated secondary derivatives corresponding to the secondary equations.
getInterpolatedSecondaryDerivatives(int) - Method in interface org.apache.commons.math4.ode.sampling.StepInterpolator
Get the interpolated secondary derivatives corresponding to the secondary equations.
getInterpolatedSecondaryState(int) - Method in class org.apache.commons.math4.ode.ContinuousOutputModel
Get the interpolated secondary state corresponding to the secondary equations.
getInterpolatedSecondaryState(int) - Method in class org.apache.commons.math4.ode.sampling.AbstractStepInterpolator
Get the interpolated secondary state corresponding to the secondary equations.
getInterpolatedSecondaryState(int) - Method in interface org.apache.commons.math4.ode.sampling.StepInterpolator
Get the interpolated secondary state corresponding to the secondary equations.
getInterpolatedState(T) - Method in class org.apache.commons.math4.ode.ContinuousOutputFieldModel
Get the state at interpolated time.
getInterpolatedState() - Method in class org.apache.commons.math4.ode.ContinuousOutputModel
Get the state vector of the interpolated point.
getInterpolatedState(T) - Method in class org.apache.commons.math4.ode.sampling.AbstractFieldStepInterpolator
Get the state at interpolated time.
getInterpolatedState() - Method in class org.apache.commons.math4.ode.sampling.AbstractStepInterpolator
Get the state vector of the interpolated point.
getInterpolatedState(T) - Method in interface org.apache.commons.math4.ode.sampling.FieldStepInterpolator
Get the state at interpolated time.
getInterpolatedState() - Method in interface org.apache.commons.math4.ode.sampling.StepInterpolator
Get the state vector of the interpolated point.
getInterpolatedStateVariation() - Method in class org.apache.commons.math4.ode.sampling.NordsieckStepInterpolator
Get the state vector variation from current to interpolated state.
getInterpolatedTime() - Method in class org.apache.commons.math4.ode.ContinuousOutputModel
Get the time of the interpolated point.
getInterpolatedTime() - Method in class org.apache.commons.math4.ode.sampling.AbstractStepInterpolator
Get the time of the interpolated point.
getInterpolatedTime() - Method in interface org.apache.commons.math4.ode.sampling.StepInterpolator
Get the time of the interpolated point.
getInterpolatingPoints() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns a copy of the interpolating points array.
getInterpolatingValues() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns a copy of the interpolating values array.
getInverse() - Method in interface org.apache.commons.math4.field.linalg.FieldDecompositionSolver
Computes the inverse of a decomposed (square) matrix.
getInverse() - Method in interface org.apache.commons.math4.linear.DecompositionSolver
Get the pseudo-inverse of the decomposed matrix.
getInverse() - Method in interface org.apache.commons.math4.linear.FieldDecompositionSolver
Get the inverse (or pseudo-inverse) of the decomposed matrix.
getInverseConditionNumber() - Method in class org.apache.commons.math4.linear.SingularValueDecomposition
Computes the inverse of the condition number.
getIterationCounter() - Method in class org.apache.commons.math4.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.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.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.linear.IterativeLinearSolver
Returns the iteration manager attached to this solver.
getIterations() - Method in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator
Get the number of iterations of the last run of the integrator.
getIterations() - Method in interface org.apache.commons.math4.analysis.integration.UnivariateIntegrator
Get the number of iterations of the last run of the integrator.
getIterations() - Method in interface org.apache.commons.math4.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.optim.BaseOptimizer
Gets the number of iterations performed by the algorithm.
getIterations() - Method in class org.apache.commons.math4.optim.nonlinear.scalar.SimulatedAnnealing
 
getIterations() - Method in class org.apache.commons.math4.util.IterationEvent
Returns the number of iterations performed at the time this event is created.
getIterations() - Method in class org.apache.commons.math4.util.IterationManager
Returns the number of iterations of this solver, 0 if no iterations has been performed yet.
getJacobian() - Method in interface org.apache.commons.math4.fitting.leastsquares.LeastSquaresProblem.Evaluation
Get the weighted Jacobian matrix.
getK() - Method in class org.apache.commons.math4.ml.clustering.FuzzyKMeansClusterer
Return the number of clusters this instance will use.
getKernel(SummaryStatistics) - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution
The within-bin smoothing kernel.
getKey() - Method in class org.apache.commons.math4.util.Pair
Get the key.
getKeys() - Method in class org.apache.commons.math4.exception.util.ExceptionContext
Gets all the keys stored in the exception
getKnots() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialSplineFunction
Get an array copy of the knot points.
getKthSelector() - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile
Get the kthSelector used for computation.
getKurtosis() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics
Returns the Kurtosis of the available values.
getKurtosisImpl() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics
Returns the currently configured kurtosis implementation.
getL() - Method in class org.apache.commons.math4.field.linalg.FieldLUDecomposition
Builds the "L" matrix of the decomposition.
getL() - Method in class org.apache.commons.math4.linear.CholeskyDecomposition
Returns the matrix L of the decomposition.
getL() - Method in class org.apache.commons.math4.linear.FieldLUDecomposition
Returns the matrix L of the decomposition.
getL() - Method in class org.apache.commons.math4.linear.LUDecomposition
Returns the matrix L of the decomposition.
getL1Distance(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector
Distance between two vectors.
getL1Distance(OpenMapRealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector
Distance between two vectors.
getL1Distance(RealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector
Distance between two vectors.
getL1Distance(RealVector) - Method in class org.apache.commons.math4.linear.RealVector
Distance between two vectors.
getL1Norm() - Method in class org.apache.commons.math4.linear.ArrayRealVector
Returns the L1 norm of the vector.
getL1Norm() - Method in class org.apache.commons.math4.linear.RealVector
Returns the L1 norm of the vector.
getLength() - Method in class org.apache.commons.math4.genetics.AbstractListChromosome
Returns the length of the chromosome.
getLInfDistance(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector
Distance between two vectors.
getLInfDistance(RealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector
Distance between two vectors.
getLInfDistance(RealVector) - Method in class org.apache.commons.math4.linear.RealVector
Distance between two vectors.
getLInfNorm() - Method in class org.apache.commons.math4.linear.ArrayRealVector
Returns the L norm of the vector.
getLInfNorm() - Method in class org.apache.commons.math4.linear.RealVector
Returns the L norm of the vector.
getLn10() - Method in class org.apache.commons.math4.dfp.DfpField
Get the constant ln(10).
getLn2() - Method in class org.apache.commons.math4.dfp.DfpField
Get the constant ln(2).
getLn2Split() - Method in class org.apache.commons.math4.dfp.DfpField
Get the constant ln(2) split in two pieces.
getLn5() - Method in class org.apache.commons.math4.dfp.DfpField
Get the constant ln(5).
getLn5Split() - Method in class org.apache.commons.math4.dfp.DfpField
Get the constant ln(5) split in two pieces.
getLo() - Method in exception org.apache.commons.math4.exception.NoBracketingException
Get the lower end of the interval.
getLo() - Method in exception org.apache.commons.math4.exception.OutOfRangeException
 
getLo() - Method in class org.apache.commons.math4.optim.univariate.BracketFinder
 
getLocalizedMessage() - Method in exception org.apache.commons.math4.exception.MathRuntimeException
getLocalizedMessage() - Method in exception org.apache.commons.math4.exception.