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

A

ABS - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.abs method wrapped as a ComposableFunction.
abs() - Method in class org.apache.commons.math.complex.Complex
Return the absolute value of this complex number.
abs() - Method in class org.apache.commons.math.fraction.BigFraction
Returns the absolute value of this BigFraction.
abs() - Method in class org.apache.commons.math.fraction.Fraction
Returns the absolute value of this fraction.
abs(int) - Static method in class org.apache.commons.math.util.FastMath
Absolute value.
abs(long) - Static method in class org.apache.commons.math.util.FastMath
Absolute value.
abs(float) - Static method in class org.apache.commons.math.util.FastMath
Absolute value.
abs(double) - Static method in class org.apache.commons.math.util.FastMath
Absolute value.
absoluteAccuracy - Variable in class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. Maximum absolute error.
AbstractContinuousDistribution - Class in org.apache.commons.math.distribution
Base class for continuous distributions.
AbstractContinuousDistribution() - Constructor for class org.apache.commons.math.distribution.AbstractContinuousDistribution
Default constructor.
AbstractDistribution - Class in org.apache.commons.math.distribution
Base class for probability distributions.
AbstractDistribution() - Constructor for class org.apache.commons.math.distribution.AbstractDistribution
Default constructor.
AbstractEstimator - Class in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
AbstractEstimator() - Constructor for class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Build an abstract estimator for least squares problems.
AbstractFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
Basic implementation of FieldMatrix methods regardless of the underlying storage.
AbstractFieldMatrix() - Constructor for class org.apache.commons.math.linear.AbstractFieldMatrix
Constructor for use with Serializable
AbstractFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math.linear.AbstractFieldMatrix
Creates a matrix with no data
AbstractFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math.linear.AbstractFieldMatrix
Create a new FieldMatrix with the supplied row and column dimensions.
AbstractFormat - Class in org.apache.commons.math.fraction
Common part shared by both FractionFormat and BigFractionFormat.
AbstractFormat() - Constructor for class org.apache.commons.math.fraction.AbstractFormat
Create an improper formatting instance with the default number format for the numerator and denominator.
AbstractFormat(NumberFormat) - Constructor for class org.apache.commons.math.fraction.AbstractFormat
Create an improper formatting instance with a custom number format for both the numerator and denominator.
AbstractFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.fraction.AbstractFormat
Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
AbstractIntegerDistribution - Class in org.apache.commons.math.distribution
Base class for integer-valued discrete distributions.
AbstractIntegerDistribution() - Constructor for class org.apache.commons.math.distribution.AbstractIntegerDistribution
Default constructor.
AbstractIntegrator - Class in org.apache.commons.math.ode
Base class managing common boilerplate for all integrators.
AbstractIntegrator(String) - Constructor for class org.apache.commons.math.ode.AbstractIntegrator
Build an instance.
AbstractIntegrator() - Constructor for class org.apache.commons.math.ode.AbstractIntegrator
Build an instance with a null name.
AbstractLeastSquaresOptimizer - Class in org.apache.commons.math.optimization.general
Base class for implementing least squares optimizers.
AbstractLeastSquaresOptimizer() - Constructor for class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Simple constructor with default settings.
AbstractLinearOptimizer - Class in org.apache.commons.math.optimization.linear
Base class for implementing linear optimizers.
AbstractLinearOptimizer() - Constructor for class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Simple constructor with default settings.
AbstractListChromosome<T> - Class in org.apache.commons.math.genetics
Chromosome represented by an immutable list of a fixed length.
AbstractListChromosome(List<T>) - Constructor for class org.apache.commons.math.genetics.AbstractListChromosome
Constructor.
AbstractListChromosome(T[]) - Constructor for class org.apache.commons.math.genetics.AbstractListChromosome
Constructor.
AbstractMultipleLinearRegression - Class in org.apache.commons.math.stat.regression
Abstract base class for implementations of MultipleLinearRegression.
AbstractMultipleLinearRegression() - Constructor for class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
 
AbstractRandomGenerator - Class in org.apache.commons.math.random
Abstract class implementing the RandomGenerator interface.
AbstractRandomGenerator() - Constructor for class org.apache.commons.math.random.AbstractRandomGenerator
Construct a RandomGenerator.
AbstractRealMatrix - Class in org.apache.commons.math.linear
Basic implementation of RealMatrix methods regardless of the underlying storage.
AbstractRealMatrix() - Constructor for class org.apache.commons.math.linear.AbstractRealMatrix
Creates a matrix with no data
AbstractRealMatrix(int, int) - Constructor for class org.apache.commons.math.linear.AbstractRealMatrix
Create a new RealMatrix with the supplied row and column dimensions.
AbstractRealVector - Class in org.apache.commons.math.linear
This class provides default basic implementations for many methods in the RealVector interface.
AbstractRealVector() - Constructor for class org.apache.commons.math.linear.AbstractRealVector
 
AbstractRealVector.EntryImpl - Class in org.apache.commons.math.linear
An entry in the vector.
AbstractRealVector.EntryImpl() - Constructor for class org.apache.commons.math.linear.AbstractRealVector.EntryImpl
Simple constructor.
AbstractRealVector.SparseEntryIterator - Class in org.apache.commons.math.linear
This class should rare be used, but is here to provide a default implementation of sparseIterator(), which is implemented by walking over the entries, skipping those whose values are the default one.
AbstractRealVector.SparseEntryIterator() - Constructor for class org.apache.commons.math.linear.AbstractRealVector.SparseEntryIterator
Simple constructor.
AbstractScalarDifferentiableOptimizer - Class in org.apache.commons.math.optimization.general
Base class for implementing optimizers for multivariate scalar functions.
AbstractScalarDifferentiableOptimizer() - Constructor for class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Simple constructor with default settings.
AbstractStepInterpolator - Class in org.apache.commons.math.ode.sampling
This abstract class represents an interpolator over the last step during an ODE integration.
AbstractStepInterpolator() - Constructor for class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Simple constructor.
AbstractStepInterpolator(double[], boolean) - Constructor for class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Simple constructor.
AbstractStepInterpolator(AbstractStepInterpolator) - Constructor for class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Copy constructor.
AbstractStorelessUnivariateStatistic - Class in org.apache.commons.math.stat.descriptive
Abstract implementation of the StorelessUnivariateStatistic interface.
AbstractStorelessUnivariateStatistic() - Constructor for class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
 
AbstractUnivariateRealOptimizer - Class in org.apache.commons.math.optimization.univariate
Provide a default implementation for several functions useful to generic optimizers.
AbstractUnivariateRealOptimizer(int, double) - Constructor for class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Deprecated. in 2.2. Please use the "setter" methods to assign meaningful values to the maximum numbers of iterations and evaluations, and to the absolute and relative accuracy thresholds.
AbstractUnivariateRealOptimizer() - Constructor for class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Default constructor.
AbstractUnivariateStatistic - Class in org.apache.commons.math.stat.descriptive
Abstract base class for all implementations of the UnivariateStatistic interface.
AbstractUnivariateStatistic() - Constructor for class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
 
AbstractWell - Class in org.apache.commons.math.random
This abstract class implements the WELL class of pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
AbstractWell(int, int, int, int) - Constructor for class org.apache.commons.math.random.AbstractWell
Creates a new random number generator.
AbstractWell(int, int, int, int, int) - Constructor for class org.apache.commons.math.random.AbstractWell
Creates a new random number generator using a single int seed.
AbstractWell(int, int, int, int, int[]) - Constructor for class org.apache.commons.math.random.AbstractWell
Creates a new random number generator using an int array seed.
AbstractWell(int, int, int, int, long) - Constructor for class org.apache.commons.math.random.AbstractWell
Creates a new random number generator using a single long seed.
acceptStep(AbstractStepInterpolator, double[], double[], double) - Method in class org.apache.commons.math.ode.AbstractIntegrator
Accept a step, triggering events and step handlers.
ACOS - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.abs method wrapped as a ComposableFunction.
acos() - Method in class org.apache.commons.math.complex.Complex
Compute the inverse cosine of this complex number.
acos(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath
computes the arc-cosine of the argument.
acos(double) - Static method in class org.apache.commons.math.util.FastMath
Compute the arc cosine of a number.
acosh(double) - Static method in class org.apache.commons.math.util.FastMath
Compute the inverse hyperbolic cosine of a number.
AdamsBashforthIntegrator - Class in org.apache.commons.math.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.math.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.math.ode.nonstiff.AdamsBashforthIntegrator
Build an Adams-Bashforth integrator with the given order and step control parameters.
AdamsIntegrator - Class in org.apache.commons.math.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.math.ode.nonstiff.AdamsIntegrator
Build an Adams integrator with the given order and step control prameters.
AdamsIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsIntegrator
Build an Adams integrator with the given order and step control parameters.
AdamsMoultonIntegrator - Class in org.apache.commons.math.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.math.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.math.ode.nonstiff.AdamsMoultonIntegrator
Build an Adams-Moulton integrator with the given order and error control parameters.
AdamsNordsieckTransformer - Class in org.apache.commons.math.ode.nonstiff
Transformer to Nordsieck vectors for Adams integrators.
AdaptiveStepsizeIntegrator - Class in org.apache.commons.math.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.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Build an integrator with the given stepsize bounds.
AdaptiveStepsizeIntegrator(String, double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Build an integrator with the given stepsize bounds.
ADD - Static variable in class org.apache.commons.math.analysis.BinaryFunction
Deprecated. The + operator method wrapped as a BinaryFunction.
add(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction
Return a function adding the instance and another function.
add(double) - Method in class org.apache.commons.math.analysis.ComposableFunction
Return a function adding a constant term to the instance.
add(PolynomialFunction) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Add a polynomial to the instance.
add(Complex) - Method in class org.apache.commons.math.complex.Complex
Return the sum of this complex number and the given complex number.
add(Dfp) - Method in class org.apache.commons.math.dfp.Dfp
Add x to this.
add(T) - Method in interface org.apache.commons.math.FieldElement
Compute this + a.
add(BigInteger) - Method in class org.apache.commons.math.fraction.BigFraction
Adds the value of this fraction to the passed BigInteger, returning the result in reduced form.
add(int) - Method in class org.apache.commons.math.fraction.BigFraction
Adds the value of this fraction to the passed integer, returning the result in reduced form.
add(long) - Method in class org.apache.commons.math.fraction.BigFraction
Adds the value of this fraction to the passed long, returning the result in reduced form.
add(BigFraction) - Method in class org.apache.commons.math.fraction.BigFraction
Adds the value of this fraction to another, returning the result in reduced form.
add(Fraction) - Method in class org.apache.commons.math.fraction.Fraction
Adds the value of this fraction to another, returning the result in reduced form.
add(int) - Method in class org.apache.commons.math.fraction.Fraction
Add an integer to the fraction.
add(Vector3D) - Method in class org.apache.commons.math.geometry.Vector3D
Add a vector to the instance.
add(double, Vector3D) - Method in class org.apache.commons.math.geometry.Vector3D
Add a scaled vector to the instance.
add(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Compute the sum of this and m.
add(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector
Compute the sum of this vector and v.
add(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector
Compute the sum of this vector and v.
add(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Compute the sum of this and m.
add(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Compute the sum of this and m.
add(Array2DRowRealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Compute the sum of this and m.
add(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the sum of this and v.
add(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the sum of this and v.
add(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the sum of this and v.
add(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the sum of this vector and v.
add(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the sum of this vector and v.
add(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the sum of this and v.
add(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Compute the sum of this and m.
add(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Compute the sum of this and m.
add(BigMatrixImpl) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Compute the sum of this and m.
add(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Compute the sum of this and m.
add(BlockFieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Compute the sum of this and m.
add(BlockRealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Compute the sum of this and m.
add(FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Compute the sum of this and m.
add(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Compute the sum of this and v.
add(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Compute the sum of this and v.
add(RealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Compute the sum of this and m.
add(OpenMapRealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Compute the sum of this and m.
add(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Compute the sum of this vector and v.
add(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Optimized method to add two OpenMapRealVectors.
add(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Compute the sum of this and m.
add(RealMatrixImpl) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Compute the sum of this and m.
add(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Compute the sum of this vector and v.
add(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Compute the sum of this vector and v.
add(SparseFieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Optimized method to add sparse vectors.
add(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute the sum of this and v.
add(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute the sum of this and v.
add(BigReal) - Method in class org.apache.commons.math.util.BigReal
Compute this + a.
addAndCheck(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Add two integers, checking for overflow.
addAndCheck(long, long) - Static method in class org.apache.commons.math.util.MathUtils
Add two long integers, checking for overflow.
addChromosome(Chromosome) - Method in class org.apache.commons.math.genetics.ListPopulation
Add the given chromosome to the population.
addChromosome(Chromosome) - Method in interface org.apache.commons.math.genetics.Population
Add the given chromosome to the population.
addData(double, double) - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Adds the observation (x,y) to the regression data set.
addData(double[][]) - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Adds the observations represented by the elements in data.
addElement(double) - Method in interface org.apache.commons.math.util.DoubleArray
Adds an element to the end of this expandable array
addElement(double) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Adds an element to the end of this expandable array.
addElementRolling(double) - Method in interface org.apache.commons.math.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.math.util.ResizableDoubleArray
Adds an element to the end of the array and removes the first element in the array.
addElements(double[]) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Adds several element to the end of this expandable array.
addEndTimeChecker(double, double, CombinedEventsManager) - Method in class org.apache.commons.math.ode.AbstractIntegrator
Deprecated. as of 2.2, this method is not used any more
addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math.ode.AbstractIntegrator
Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Deprecated. Add an events handler.
addEventHandler(EventHandlerWithJacobians, double, double, int) - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int) - Method in interface org.apache.commons.math.ode.ODEIntegrator
Add an event handler to the integrator.
ADDITIVE_MODE - Static variable in class org.apache.commons.math.util.ResizableDoubleArray
additive expansion mode
addMeasurement(WeightedMeasurement) - Method in class org.apache.commons.math.estimation.SimpleEstimationProblem
Deprecated. Add a new measurement to the set.
addObservedPoint(double, double) - Method in class org.apache.commons.math.optimization.fitting.CurveFitter
Add an observed (x,y) point to the sample with unit weight.
addObservedPoint(double, double, double) - Method in class org.apache.commons.math.optimization.fitting.CurveFitter
Add an observed weighted (x,y) point to the sample.
addObservedPoint(WeightedObservedPoint) - Method in class org.apache.commons.math.optimization.fitting.CurveFitter
Add an observed weighted (x,y) point to the sample.
addObservedPoint(double, double) - Method in class org.apache.commons.math.optimization.fitting.GaussianFitter
Adds point (x, y) to list of observed points with a weight of 1.0.
addObservedPoint(double, double, double) - Method in class org.apache.commons.math.optimization.fitting.GaussianFitter
Adds point (x, y) to list of observed points with a weight of weight.
addObservedPoint(double, double, double) - Method in class org.apache.commons.math.optimization.fitting.HarmonicFitter
Add an observed weighted (x,y) point to the sample.
addObservedPoint(double, double, double) - Method in class org.apache.commons.math.optimization.fitting.PolynomialFitter
Add an observed weighted (x,y) point to the sample.
addParameter(EstimatedParameter) - Method in class org.apache.commons.math.estimation.SimpleEstimationProblem
Deprecated. Add a parameter to the problem.
addPoint(T) - Method in class org.apache.commons.math.stat.clustering.Cluster
Add a point to this cluster.
addStepHandler(StepHandler) - Method in class org.apache.commons.math.ode.AbstractIntegrator
Add a step handler to this integrator.
addStepHandler(StepHandlerWithJacobians) - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Add a step handler to this integrator.
addStepHandler(StepHandler) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Add a step handler to this integrator.
addStepHandler(StepHandler) - Method in interface org.apache.commons.math.ode.ODEIntegrator
Add a step handler to this integrator.
addToEntry(int, int, T) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in interface org.apache.commons.math.linear.FieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in interface org.apache.commons.math.linear.RealMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Change an entry in the specified row and column.
addValue(double) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Adds the value to the dataset.
addValue(double[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Add an n-tuple to the data
addValue(double) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Add a value to the data
addValue(double) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Adds the value to the dataset.
addValue(double[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Add an n-tuple to the data
addValue(double) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Add a value to the data
addValue(Object) - Method in class org.apache.commons.math.stat.Frequency
Deprecated. use Frequency.addValue(Comparable) instead
addValue(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency
Adds 1 to the frequency count for v.
addValue(int) - Method in class org.apache.commons.math.stat.Frequency
Adds 1 to the frequency count for v.
addValue(Integer) - Method in class org.apache.commons.math.stat.Frequency
Deprecated. to be removed in math 3.0
addValue(long) - Method in class org.apache.commons.math.stat.Frequency
Adds 1 to the frequency count for v.
addValue(char) - Method in class org.apache.commons.math.stat.Frequency
Adds 1 to the frequency count for v.
advance(AbstractRealVector.EntryImpl) - Method in class org.apache.commons.math.linear.AbstractRealVector.SparseEntryIterator
Advance an entry up to the next nonzero one.
advance() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap.Iterator
Advance iterator one step further.
advance() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap.Iterator
Advance iterator one step further.
aggregate(Collection<SummaryStatistics>) - Static method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Computes aggregate summary statistics.
AggregateSummaryStatistics - Class in org.apache.commons.math.stat.descriptive
An aggregator for SummaryStatistics from several data sets or data set partitions.
AggregateSummaryStatistics() - Constructor for class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Initializes a new AggregateSummaryStatistics with default statistics implementations.
AggregateSummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math.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.math.stat.descriptive.AggregateSummaryStatistics
Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.
align(int) - Method in class org.apache.commons.math.dfp.Dfp
Make our exp equal to the supplied one, this may cause rounding.
angle(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the angular separation between two vectors.
anovaFValue(Collection<double[]>) - Method in interface org.apache.commons.math.stat.inference.OneWayAnova
Computes the ANOVA F-value for a collection of double[] arrays.
anovaFValue(Collection<double[]>) - Method in class org.apache.commons.math.stat.inference.OneWayAnovaImpl
Computes the ANOVA F-value for a collection of double[] arrays.
anovaPValue(Collection<double[]>) - Method in interface org.apache.commons.math.stat.inference.OneWayAnova
Computes the ANOVA P-value for a collection of double[] arrays.
anovaPValue(Collection<double[]>) - Method in class org.apache.commons.math.stat.inference.OneWayAnovaImpl
Computes the ANOVA P-value for a collection of double[] arrays.
anovaTest(Collection<double[]>, double) - Method in interface org.apache.commons.math.stat.inference.OneWayAnova
Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.
anovaTest(Collection<double[]>, double) - Method in class org.apache.commons.math.stat.inference.OneWayAnovaImpl
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.math.linear
Interface defining very basic matrix operations.
append(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending a vector to this vector.
append(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending a vector to this vector.
append(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending a T to this vector.
append(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending a T array to this vector.
append(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending a vector to this vector.
append(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending a vector to this vector.
append(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending a double to this vector.
append(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending a double array to this vector.
append(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Construct a vector by appending a vector to this vector.
append(T) - Method in interface org.apache.commons.math.linear.FieldVector
Construct a vector by appending a T to this vector.
append(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Construct a vector by appending a T array to this vector.
append(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Optimized method to append a OpenMapRealVector.
append(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Construct a vector by appending a vector to this vector.
append(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Construct a vector by appending a double to this vector.
append(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Construct a vector by appending a double array to this vector.
append(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Construct a vector by appending a vector to this vector.
append(double) - Method in interface org.apache.commons.math.linear.RealVector
Construct a vector by appending a double to this vector.
append(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Construct a vector by appending a double array to this vector.
append(SparseFieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Construct a vector by appending a vector to this vector.
append(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Construct a vector by appending a vector to this vector.
append(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Construct a vector by appending a T to this vector.
append(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Construct a vector by appending a T array to this vector.
append(ContinuousOutputModel) - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Append another model at the end of the instance.
apply(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Apply the given statistic to the data associated with this set of statistics.
apply(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Apply the given statistic to the data associated with this set of statistics.
applyInverseTo(Vector3D) - Method in class org.apache.commons.math.geometry.Rotation
Apply the inverse of the rotation to a vector.
applyInverseTo(Rotation) - Method in class org.apache.commons.math.geometry.Rotation
Apply the inverse of the instance to another rotation.
applyTo(Vector3D) - Method in class org.apache.commons.math.geometry.Rotation
Apply the rotation to a vector.
applyTo(Rotation) - Method in class org.apache.commons.math.geometry.Rotation
Apply the instance to another rotation.
ArgumentOutsideDomainException - Exception in org.apache.commons.math
Error thrown when a method is called with an out of bounds argument.
ArgumentOutsideDomainException(double, double, double) - Constructor for exception org.apache.commons.math.ArgumentOutsideDomainException
Constructs an exception with specified formatted detail message.
ArgUtils - Class in org.apache.commons.math.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.math.linear
Implementation of FieldMatrix using a FieldElement[][] array to store entries.
Array2DRowFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix
Creates a matrix with no data
Array2DRowFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix
Create a new FieldMatrix with the supplied row and column dimensions.
Array2DRowFieldMatrix(T[][]) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix
Create a new FieldMatrix using the input array as the underlying data array.
Array2DRowFieldMatrix(T[][], boolean) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix
Create a new FieldMatrix using the input array as the underlying data array.
Array2DRowFieldMatrix(T[]) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix
Create a new (column) FieldMatrix using v as the data for the unique column of the v.length x 1 matrix created.
Array2DRowRealMatrix - Class in org.apache.commons.math.linear
Implementation of RealMatrix using a double[][] array to store entries and LU decomposition to support linear system solution and inverse.
Array2DRowRealMatrix() - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix
Creates a matrix with no data
Array2DRowRealMatrix(int, int) - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix
Create a new RealMatrix with the supplied row and column dimensions.
Array2DRowRealMatrix(double[][]) - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix
Create a new RealMatrix using the input array as the underlying data array.
Array2DRowRealMatrix(double[][], boolean) - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix
Create a new RealMatrix using the input array as the underlying data array.
Array2DRowRealMatrix(double[]) - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix
Create a new (column) RealMatrix using v as the data for the unique column of the v.length x 1 matrix created.
ArrayFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
This class implements the FieldVector interface with a FieldElement array.
ArrayFieldVector(Field<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Build a 0-length vector.
ArrayFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a (size)-length vector of zeros.
ArrayFieldVector(int, T) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct an (size)-length vector with preset values.
ArrayFieldVector(T[]) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector from an array, copying the input array.
ArrayFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector from an array, copying the input array.
ArrayFieldVector(T[], boolean) - Constructor for class org.apache.commons.math.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.math.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.math.linear.ArrayFieldVector
Construct a vector from part of a array.
ArrayFieldVector(FieldVector<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector from another vector, using a deep copy.
ArrayFieldVector(ArrayFieldVector<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector from another vector, using a deep copy.
ArrayFieldVector(ArrayFieldVector<T>, boolean) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector from another vector.
ArrayFieldVector(ArrayFieldVector<T>, ArrayFieldVector<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(ArrayFieldVector<T>, T[]) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(T[], ArrayFieldVector<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(T[], T[]) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(Field<T>, T[], T[]) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayRealVector - Class in org.apache.commons.math.linear
This class implements the RealVector interface with a double array.
ArrayRealVector() - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Build a 0-length vector.
ArrayRealVector(int) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a (size)-length vector of zeros.
ArrayRealVector(int, double) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct an (size)-length vector with preset values.
ArrayRealVector(double[]) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from an array, copying the input array.
ArrayRealVector(double[], boolean) - Constructor for class org.apache.commons.math.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.math.linear.ArrayRealVector
Construct a vector from part of a array.
ArrayRealVector(Double[]) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from an array.
ArrayRealVector(Double[], int, int) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from part of a Double array
ArrayRealVector(RealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from another vector, using a deep copy.
ArrayRealVector(ArrayRealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from another vector, using a deep copy.
ArrayRealVector(ArrayRealVector, boolean) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from another vector.
ArrayRealVector(ArrayRealVector, ArrayRealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(ArrayRealVector, RealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(RealVector, ArrayRealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(ArrayRealVector, double[]) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(double[], ArrayRealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(double[], double[]) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
asCollector(BivariateRealFunction, double) - Method in class org.apache.commons.math.analysis.ComposableFunction
Generates a function that iteratively apply instance function on all elements of an array.
asCollector(BivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction
Generates a function that iteratively apply instance function on all elements of an array.
asCollector(double) - Method in class org.apache.commons.math.analysis.ComposableFunction
Generates a function that iteratively apply instance function on all elements of an array.
asCollector() - Method in class org.apache.commons.math.analysis.ComposableFunction
Generates a function that iteratively apply instance function on all elements of an array.
ASIN - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.asin method wrapped as a ComposableFunction.
asin() - Method in class org.apache.commons.math.complex.Complex
Compute the inverse sine of this complex number.
asin(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath
computes the arc-sine of the argument.
asin(double) - Static method in class org.apache.commons.math.util.FastMath
Compute the arc sine of a number.
asinh(double) - Static method in class org.apache.commons.math.util.FastMath
Compute the inverse hyperbolic sine of a number.
ATAN - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.atan method wrapped as a ComposableFunction.
atan() - Method in class org.apache.commons.math.complex.Complex
Compute the inverse tangent of this complex number.
atan(Dfp) - Static method in class org.apache.commons.math.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(double) - Static method in class org.apache.commons.math.util.FastMath
Arctangent function
ATAN2 - Static variable in class org.apache.commons.math.analysis.BinaryFunction
Deprecated. The FastMath.atan2 method wrapped as a BinaryFunction.
atan2(double, double) - Static method in class org.apache.commons.math.util.FastMath
Two arguments arctangent function
atanh(double) - Static method in class org.apache.commons.math.util.FastMath
Compute the inverse hyperbolic tangent of a number.
atanInternal(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath
computes the arc-tangent of the argument.

B

Beta - Class in org.apache.commons.math.special
This is a utility class that provides computation methods related to the Beta family of functions.
BetaDistribution - Interface in org.apache.commons.math.distribution
Computes the cumulative, inverse cumulative and density functions for the beta distribuiton.
BetaDistributionImpl - Class in org.apache.commons.math.distribution
Implements the Beta distribution.
BetaDistributionImpl(double, double, double) - Constructor for class org.apache.commons.math.distribution.BetaDistributionImpl
Build a new instance.
BetaDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.BetaDistributionImpl
Build a new instance.
BicubicSplineInterpolatingFunction - Class in org.apache.commons.math.analysis.interpolation
Function that implements the bicubic spline interpolation.
BicubicSplineInterpolatingFunction(double[], double[], double[][], double[][], double[][], double[][]) - Constructor for class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolatingFunction
 
BicubicSplineInterpolator - Class in org.apache.commons.math.analysis.interpolation
Generates a bicubic interpolating function.
BicubicSplineInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolator
 
bigDecimalValue() - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction as a BigDecimal.
bigDecimalValue(int) - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction as a BigDecimal following the passed rounding mode.
bigDecimalValue(int, int) - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction as a BigDecimal following the passed scale and rounding mode.
bigDecimalValue() - Method in class org.apache.commons.math.util.BigReal
Get the BigDecimal value corresponding to the instance.
BigFraction - Class in org.apache.commons.math.fraction
Representation of a rational number without any overflow.
BigFraction(BigInteger) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a BigFraction equivalent to the passed BigInteger, ie "num / 1".
BigFraction(BigInteger, BigInteger) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a BigFraction given the numerator and denominator as BigInteger.
BigFraction(double) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a fraction given the double value.
BigFraction(double, double, int) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a fraction given the double value and maximum error allowed.
BigFraction(double, int) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a fraction given the double value and maximum denominator.
BigFraction(int) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a BigFraction equivalent to the passed int, ie "num / 1".
BigFraction(int, int) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a BigFraction given the numerator and denominator as simple int.
BigFraction(long) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a BigFraction equivalent to the passed long, ie "num / 1".
BigFraction(long, long) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a BigFraction given the numerator and denominator as simple long.
BigFractionField - Class in org.apache.commons.math.fraction
Representation of the fractional numbers without any overflow field.
BigFractionFormat - Class in org.apache.commons.math.fraction
Formats a BigFraction number in proper format or improper format.
BigFractionFormat() - Constructor for class org.apache.commons.math.fraction.BigFractionFormat
Create an improper formatting instance with the default number format for the numerator and denominator.
BigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math.fraction.BigFractionFormat
Create an improper formatting instance with a custom number format for both the numerator and denominator.
BigFractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.fraction.BigFractionFormat
Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
bigFractionMatrixToRealMatrix(FieldMatrix<BigFraction>) - Static method in class org.apache.commons.math.linear.MatrixUtils
Convert a FieldMatrix/BigFraction matrix to a RealMatrix.
BigMatrix - Interface in org.apache.commons.math.linear
Deprecated. as of 2.0, replaced by FieldMatrix with a BigReal parameter
BigMatrixImpl - Class in org.apache.commons.math.linear
Deprecated. as of 2.0, replaced by Array2DRowFieldMatrix with a BigReal parameter
BigMatrixImpl() - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Creates a matrix with no data
BigMatrixImpl(int, int) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new BigMatrix with the supplied row and column dimensions.
BigMatrixImpl(BigDecimal[][]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new BigMatrix using d as the underlying data array.
BigMatrixImpl(BigDecimal[][], boolean) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new BigMatrix using the input array as the underlying data array.
BigMatrixImpl(double[][]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new BigMatrix using d as the underlying data array.
BigMatrixImpl(String[][]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new BigMatrix using the values represented by the strings in d as the underlying data array.
BigMatrixImpl(BigDecimal[]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new (column) BigMatrix using v as the data for the unique column of the v.length x 1 matrix created.
BigReal - Class in org.apache.commons.math.util
Arbitrary precision decimal number.
BigReal(BigDecimal) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a BigDecimal.
BigReal(BigInteger) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a BigInteger.
BigReal(BigInteger, int) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from an unscaled BigInteger.
BigReal(BigInteger, int, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from an unscaled BigInteger.
BigReal(BigInteger, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a BigInteger.
BigReal(char[]) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a characters representation.
BigReal(char[], int, int) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a characters representation.
BigReal(char[], int, int, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a characters representation.
BigReal(char[], MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a characters representation.
BigReal(double) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a double.
BigReal(double, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a double.
BigReal(int) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from an int.
BigReal(int, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from an int.
BigReal(long) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a long.
BigReal(long, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a long.
BigReal(String) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a String representation.
BigReal(String, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a String representation.
BigRealField - Class in org.apache.commons.math.util
Representation of real numbers with arbitrary precision field.
BinaryChromosome - Class in org.apache.commons.math.genetics
Chromosome represented by a vector of 0s and 1s.
BinaryChromosome(List<Integer>) - Constructor for class org.apache.commons.math.genetics.BinaryChromosome
Constructor.
BinaryChromosome(Integer[]) - Constructor for class org.apache.commons.math.genetics.BinaryChromosome
Constructor.
BinaryFunction - Class in org.apache.commons.math.analysis
Deprecated. in 2.2
BinaryFunction() - Constructor for class org.apache.commons.math.analysis.BinaryFunction
Deprecated.  
BinaryMutation - Class in org.apache.commons.math.genetics
Mutation for BinaryChromosomes.
BinaryMutation() - Constructor for class org.apache.commons.math.genetics.BinaryMutation
 
binomialCoefficient(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns an exact representation of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
binomialCoefficientDouble(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns a double representation of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
binomialCoefficientLog(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns the natural log of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
BinomialDistribution - Interface in org.apache.commons.math.distribution
The Binomial Distribution.
BinomialDistributionImpl - Class in org.apache.commons.math.distribution
The default implementation of BinomialDistribution.
BinomialDistributionImpl(int, double) - Constructor for class org.apache.commons.math.distribution.BinomialDistributionImpl
Create a binomial distribution with the given number of trials and probability of success.
BisectionSolver - Class in org.apache.commons.math.analysis.solvers
Implements the bisection algorithm for finding zeros of univariate real functions.
BisectionSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.BisectionSolver
Deprecated. as of 2.0 the function to solve is passed as an argument to the BisectionSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.
BisectionSolver() - Constructor for class org.apache.commons.math.analysis.solvers.BisectionSolver
Construct a solver.
BitsStreamGenerator - Class in org.apache.commons.math.random
Base class for random number generators that generates bits streams.
BitsStreamGenerator() - Constructor for class org.apache.commons.math.random.BitsStreamGenerator
Creates a new random number generator.
BivariateRealFunction - Interface in org.apache.commons.math.analysis
An interface representing a bivariate real function.
BivariateRealGridInterpolator - Interface in org.apache.commons.math.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.math.linear.BlockFieldMatrix
Block size.
BLOCK_SIZE - Static variable in class org.apache.commons.math.linear.BlockRealMatrix
Block size.
BlockFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math.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.math.linear.BlockFieldMatrix
Create a new matrix with the supplied row and column dimensions.
BlockFieldMatrix(T[][]) - Constructor for class org.apache.commons.math.linear.BlockFieldMatrix
Create a new dense matrix copying entries from raw layout data.
BlockFieldMatrix(int, int, T[][], boolean) - Constructor for class org.apache.commons.math.linear.BlockFieldMatrix
Create a new dense matrix copying entries from block layout data.
BlockRealMatrix - Class in org.apache.commons.math.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.math.linear.BlockRealMatrix
Create a new matrix with the supplied row and column dimensions.
BlockRealMatrix(double[][]) - Constructor for class org.apache.commons.math.linear.BlockRealMatrix
Create a new dense matrix copying entries from raw layout data.
BlockRealMatrix(int, int, double[][], boolean) - Constructor for class org.apache.commons.math.linear.BlockRealMatrix
Create a new dense matrix copying entries from block layout data.
bracket(UnivariateRealFunction, double, double, double) - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils
This method attempts to find two values a and b satisfying lowerBound <= a < initial < b <= upperBound f(a) * f(b) < 0 If f is continuous on [a,b], this means that a and b bracket a root of f.
bracket(UnivariateRealFunction, double, double, double, int) - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils
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.
BracketFinder - Class in org.apache.commons.math.optimization.univariate
Provide an interval that brackets a local optimum of a function.
BracketFinder() - Constructor for class org.apache.commons.math.optimization.univariate.BracketFinder
Constructor with default values 100, 50 (see the other constructor).
BracketFinder(double, int) - Constructor for class org.apache.commons.math.optimization.univariate.BracketFinder
Create a bracketing interval finder.
BrentOptimizer - Class in org.apache.commons.math.optimization.univariate
Implements Richard Brent's algorithm (from his book "Algorithms for Minimization without Derivatives", p.
BrentOptimizer() - Constructor for class org.apache.commons.math.optimization.univariate.BrentOptimizer
Construct a solver.
BrentSolver - Class in org.apache.commons.math.analysis.solvers
Implements the Brent algorithm for finding zeros of real univariate functions.
BrentSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.BrentSolver
Deprecated. as of 2.0 the function to solve is passed as an argument to the BrentSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.
BrentSolver() - Constructor for class org.apache.commons.math.analysis.solvers.BrentSolver
Deprecated. in 2.2 (to be removed in 3.0).
BrentSolver(double) - Constructor for class org.apache.commons.math.analysis.solvers.BrentSolver
Construct a solver with the given absolute accuracy.
BrentSolver(int, double) - Constructor for class org.apache.commons.math.analysis.solvers.BrentSolver
Contstruct a solver with the given maximum iterations and absolute accuracy.
buildArray(Field<T>, int, int) - Static method in class org.apache.commons.math.linear.AbstractFieldMatrix
Build an array of elements.
buildArray(Field<T>, int) - Static method in class org.apache.commons.math.linear.AbstractFieldMatrix
Build an array of elements.
buildMessage(Locale, Localizable, Object...) - Static method in class org.apache.commons.math.exception.util.MessageFactory
Builds a message string by from a pattern and its arguments.
buildMessage(Locale, Localizable, Localizable, Object...) - Static method in class org.apache.commons.math.exception.util.MessageFactory
Builds a message string by from two patterns (specific and general) and an argument list.

C

calculateAdjustedRSquared() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Returns the adjusted R-squared statistic, defined by the formula
calculateBeta() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Calculates the beta of multiple linear regression in matrix notation.
calculateBeta() - Method in class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression
Calculates beta by GLS.
calculateBeta() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Calculates the regression coefficients using OLS.
calculateBetaVariance() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Calculates the beta variance of multiple linear regression in matrix notation.
calculateBetaVariance() - Method in class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression
Calculates the variance on the beta.
calculateBetaVariance() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Calculates the variance-covariance matrix of the regression parameters.
calculateErrorVariance() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Calculates the variance of the error term.
calculateErrorVariance() - Method in class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression
Calculates the estimated variance of the error term using the formula
calculateHat() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Compute the "hat" matrix.
calculateNumericalMean() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Calculates the mean.
calculateResiduals() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Calculates the residuals of multiple linear regression in matrix notation.
calculateResidualSumOfSquares() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Returns the sum of squared residuals.
calculateRSquared() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Returns the R-Squared statistic, defined by the formula
calculateTotalSumOfSquares() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Returns the sum of squared deviations of Y from its mean.
calculateYVariance() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Calculates the variance of the y values.
CardanEulerSingularityException - Exception in org.apache.commons.math.geometry
This class represents exceptions thrown while extractiong Cardan or Euler angles from a rotation.
CardanEulerSingularityException(boolean) - Constructor for exception org.apache.commons.math.geometry.CardanEulerSingularityException
Simple constructor.
CauchyDistribution - Interface in org.apache.commons.math.distribution
Cauchy Distribution.
CauchyDistributionImpl - Class in org.apache.commons.math.distribution
Default implementation of CauchyDistribution.
CauchyDistributionImpl() - Constructor for class org.apache.commons.math.distribution.CauchyDistributionImpl
Creates cauchy distribution with the medain equal to zero and scale equal to one.
CauchyDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.CauchyDistributionImpl
Create a cauchy distribution using the given median and scale.
CauchyDistributionImpl(double, double, double) - Constructor for class org.apache.commons.math.distribution.CauchyDistributionImpl
Create a cauchy distribution using the given median and scale.
CBRT - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.cbrt method wrapped as a ComposableFunction.
cbrt(double) - Static method in class org.apache.commons.math.util.FastMath
Compute the cubic root of a number.
CEIL - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.ceil method wrapped as a ComposableFunction.
ceil() - Method in class org.apache.commons.math.dfp.Dfp
Round to an integer using the round ceil mode.
ceil(double) - Static method in class org.apache.commons.math.util.FastMath
Get the smallest whole number larger than x.
centroidOf(Collection<T>) - Method in interface org.apache.commons.math.stat.clustering.Clusterable
Returns the centroid of the given Collection of points.
centroidOf(Collection<EuclideanIntegerPoint>) - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
Returns the centroid of the given Collection of points.
checkAdditionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Check if a matrix is addition compatible with the instance
checkAdditionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if matrices are addition compatible
checkColumnIndex(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Check if a column index is valid.
checkColumnIndex(AnyMatrix, int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if a column index is valid.
checkContractExpand(float, float) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Checks the expansion factor and the contraction criteria and throws an IllegalArgumentException if the contractionCriteria is less than the expansionCriteria
checker - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Convergence checker.
checker - Variable in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Deprecated. 
checkIndex(int) - Method in class org.apache.commons.math.linear.AbstractRealVector
Check if an index is valid.
checkMultiplicationCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Check if a matrix is multiplication compatible with the instance
checkMultiplicationCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if matrices are multiplication compatible
checkOrder(double[], MathUtils.OrderDirection, boolean) - Static method in class org.apache.commons.math.util.MathUtils
Checks that the given array is sorted.
checkOrder(double[]) - Static method in class org.apache.commons.math.util.MathUtils
Checks that the given array is sorted in strictly increasing order.
checkOrder(double[], int, boolean) - Static method in class org.apache.commons.math.util.MathUtils
Deprecated. as of 2.2 (please use the new checkOrder method). To be removed in 3.0.
checkResultComputed() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Deprecated. Check if a result has been computed.
checkResultComputed() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Deprecated. in 2.2 (no alternative).
checkRowIndex(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Check if a row index is valid.
checkRowIndex(AnyMatrix, int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if a row index is valid.
checkSubMatrixIndex(int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Check if submatrix ranges indices are valid.
checkSubMatrixIndex(int[], int[]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Check if submatrix ranges indices are valid.
checkSubMatrixIndex(AnyMatrix, int, int, int, int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if submatrix ranges indices are valid.
checkSubMatrixIndex(AnyMatrix, int[], int[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if submatrix ranges indices are valid.
checkSubtractionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Check if a matrix is subtraction compatible with the instance
checkSubtractionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if matrices are subtraction compatible
checkValidity(List<T>) - Method in class org.apache.commons.math.genetics.AbstractListChromosome
Asserts that representation can represent a valid chromosome.
checkValidity(List<Integer>) - Method in class org.apache.commons.math.genetics.BinaryChromosome
Asserts that representation can represent a valid chromosome.
checkValidity(List<Double>) - Method in class org.apache.commons.math.genetics.RandomKey
Asserts that representation can represent a valid chromosome.
checkVectorDimensions(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector
Check if instance and specified vectors have the same dimension.
checkVectorDimensions(int) - Method in class org.apache.commons.math.linear.AbstractRealVector
Check if instance dimension is equal to some expected value.
checkVectorDimensions(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Check if instance and specified vectors have the same dimension.
checkVectorDimensions(int) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Check if instance dimension is equal to some expected value.
checkVectorDimensions(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Check if instance and specified vectors have the same dimension.
checkVectorDimensions(int) - Method in class org.apache.commons.math.linear.ArrayRealVector
Check if instance dimension is equal to some expected value.
checkVectorDimensions(int) - Method in class org.apache.commons.math.linear.SparseFieldVector
Check if instance dimension is equal to some expected value.
chiSquare(double[], long[]) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest
Computes the Chi-Square statistic comparing observed and expected frequency counts.
chiSquare(long[][]) - Method in interface org.apache.commons.math.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[]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Computes the Chi-Square statistic comparing observed and expected frequency counts.
chiSquare(long[][]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
 
chiSquare(double[], long[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquare(long[][]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
 
chiSquareDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareDataSetsComparison(long[], long[]) - Method in interface org.apache.commons.math.stat.inference.UnknownDistributionChiSquareTest
Computes a Chi-Square two sample test statistic comparing bin frequency counts in observed1 and observed2.
ChiSquaredDistribution - Interface in org.apache.commons.math.distribution
The Chi-Squared Distribution.
ChiSquaredDistributionImpl - Class in org.apache.commons.math.distribution
The default implementation of ChiSquaredDistribution
ChiSquaredDistributionImpl(double) - Constructor for class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Create a Chi-Squared distribution with the given degrees of freedom.
ChiSquaredDistributionImpl(double, GammaDistribution) - Constructor for class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Deprecated. as of 2.1 (to avoid possibly inconsistent state, the "GammaDistribution" will be instantiated internally)
ChiSquaredDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Create a Chi-Squared distribution with the given degrees of freedom and inverse cumulative probability accuracy.
ChiSquareTest - Interface in org.apache.commons.math.stat.inference
An interface for Chi-Square tests.
chiSquareTest(double[], long[]) - Method in interface org.apache.commons.math.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 interface org.apache.commons.math.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 interface org.apache.commons.math.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 interface org.apache.commons.math.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[]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
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.math.stat.inference.ChiSquareTestImpl
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.math.stat.inference.ChiSquareTestImpl
 
chiSquareTest(long[][], double) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
 
chiSquareTest(double[], long[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareTest(double[], long[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareTest(long[][], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareTest(long[][]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
 
chiSquareTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
 
chiSquareTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareTestDataSetsComparison(long[], long[]) - Method in interface org.apache.commons.math.stat.inference.UnknownDistributionChiSquareTest
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 interface org.apache.commons.math.stat.inference.UnknownDistributionChiSquareTest
Performs a Chi-Square two sample test comparing two binned data sets.
ChiSquareTestImpl - Class in org.apache.commons.math.stat.inference
Implements Chi-Square test statistics defined in the UnknownDistributionChiSquareTest interface.
ChiSquareTestImpl() - Constructor for class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Construct a ChiSquareTestImpl
ChiSquareTestImpl(ChiSquaredDistribution) - Constructor for class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Create a test instance using the given distribution for computing inference statistics.
CholeskyDecomposition - Interface in org.apache.commons.math.linear
An interface to classes that implement an algorithm to calculate the Cholesky decomposition of a real symmetric positive-definite matrix.
CholeskyDecompositionImpl - Class in org.apache.commons.math.linear
Calculates the Cholesky decomposition of a matrix.
CholeskyDecompositionImpl(RealMatrix) - Constructor for class org.apache.commons.math.linear.CholeskyDecompositionImpl
Calculates the Cholesky decomposition of the given matrix.
CholeskyDecompositionImpl(RealMatrix, double, double) - Constructor for class org.apache.commons.math.linear.CholeskyDecompositionImpl
Calculates the Cholesky decomposition of the given matrix.
Chromosome - Class in org.apache.commons.math.genetics
Individual in a population.
Chromosome() - Constructor for class org.apache.commons.math.genetics.Chromosome
 
ChromosomePair - Class in org.apache.commons.math.genetics
A pair of Chromosome objects.
ChromosomePair(Chromosome, Chromosome) - Constructor for class org.apache.commons.math.genetics.ChromosomePair
Create a chromosome pair.
classes() - Method in class org.apache.commons.math.util.TransformerMap
Returns the Set of Classes used as keys in the map.
ClassicalRungeKuttaIntegrator - Class in org.apache.commons.math.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.math.ode.nonstiff.ClassicalRungeKuttaIntegrator
Simple constructor.
classify() - Method in class org.apache.commons.math.dfp.Dfp
Returns the type - one of FINITE, INFINITE, SNAN, QNAN.
clear() - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Clears the cache used by the default implementation of AbstractRandomGenerator.nextGaussian().
clear() - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math.stat.descriptive.rank.Max
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.rank.Min
Clears the internal state of the Statistic
clear() - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.summary.Product
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math.stat.Frequency
Clears the frequency table
clear() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Clears all data from the model.
clear() - Method in interface org.apache.commons.math.util.DoubleArray
Clear the double array
clear() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Clear the array, reset the size to the initialCapacity and the number of elements to zero.
clear() - Method in class org.apache.commons.math.util.TransformerMap
Clears all the Class to Transformer mappings.
clearEventHandlers() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Remove all the event handlers that have been added to the integrator.
clearEventHandlers() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Remove all the event handlers that have been added to the integrator.
clearEventHandlers() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Remove all the event handlers that have been added to the integrator.
clearEventsHandlers() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Deprecated. Remove all the events handlers that have been added to the manager.
clearIEEEFlags() - Method in class org.apache.commons.math.dfp.DfpField
Clears the IEEE 854 status flags.
clearObservations() - Method in class org.apache.commons.math.optimization.fitting.CurveFitter
Remove all observations.
clearObservations() - Method in class org.apache.commons.math.optimization.fitting.PolynomialFitter
Remove all observations.
clearResult() - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Convenience function for implementations.
clearResult() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Deprecated. Convenience function for implementations.
clearResult() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Deprecated. in 2.2 (no alternative).
clearStepHandlers() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Remove all the step handlers that have been added to the integrator.
clearStepHandlers() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Remove all the step handlers that have been added to the integrator.
clearStepHandlers() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Remove all the step handlers that have been added to the integrator.
closeReplayFile() - Method in class org.apache.commons.math.random.ValueServer
Closes valuesFileURL after use in REPLAY_MODE.
Cluster<T extends Clusterable<T>> - Class in org.apache.commons.math.stat.clustering
Cluster holding a set of Clusterable points.
Cluster(T) - Constructor for class org.apache.commons.math.stat.clustering.Cluster
Build a cluster centered at a specified point.
cluster(Collection<T>, int, int) - Method in class org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer
Runs the K-means++ clustering algorithm.
Clusterable<T> - Interface in org.apache.commons.math.stat.clustering
Interface for points that can be clustered together.
cols - Variable in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Number of columns of the jacobian matrix.
cols - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Number of columns of the jacobian matrix.
combine(UnivariateRealFunction, BivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction
Return a function combining the instance and another function.
CombinedEventsManager - Class in org.apache.commons.math.ode.events
Deprecated. as of 2.2, this class is not used anymore
CombinedEventsManager() - Constructor for class org.apache.commons.math.ode.events.CombinedEventsManager
Deprecated. Simple constructor.
comparatorPermutation(List<S>, Comparator<S>) - Static method in class org.apache.commons.math.genetics.RandomKey
Generates a representation of a permutation corresponding to the data sorted by comparator.
compareTo(BigFraction) - Method in class org.apache.commons.math.fraction.BigFraction
Compares this object to another based on size.
compareTo(Fraction) - Method in class org.apache.commons.math.fraction.Fraction
Compares this object to another based on size.
compareTo(Chromosome) - Method in class org.apache.commons.math.genetics.Chromosome
Compares two chromosomes based on their fitness.
compareTo(BigReal) - Method in class org.apache.commons.math.util.BigReal
compareTo(double, double, double) - Static method in class org.apache.commons.math.util.MathUtils
Compares two numbers given some amount of allowed error.
complement(int) - Method in class org.apache.commons.math.dfp.Dfp
Negate the mantissa of this by computing the complement.
Complex - Class in org.apache.commons.math.complex
Representation of a Complex number - a number which has both a real and imaginary part.
Complex(double, double) - Constructor for class org.apache.commons.math.complex.Complex
Create a complex number given the real and imaginary parts.
ComplexField - Class in org.apache.commons.math.complex
Representation of the complex numbers field.
ComplexFormat - Class in org.apache.commons.math.complex
Formats a Complex number in cartesian format "Re(c) + Im(c)i".
ComplexFormat() - Constructor for class org.apache.commons.math.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.math.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.math.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.math.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.math.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.math.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.
ComplexUtils - Class in org.apache.commons.math.complex
Static implementations of common Complex utilities functions.
ComposableFunction - Class in org.apache.commons.math.analysis
Base class for UnivariateRealFunction that can be composed with other functions.
ComposableFunction() - Constructor for class org.apache.commons.math.analysis.ComposableFunction
 
CompositeFormat - Class in org.apache.commons.math.util
Base class for formatters of composite objects (complex numbers, vectors ...).
CompositeFormat() - Constructor for class org.apache.commons.math.util.CompositeFormat
 
computeCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Calculate the coefficients of Lagrange polynomial from the interpolation data.
computeCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Calculate the normal polynomial coefficients given the Newton form.
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Computes the correlation matrix for the columns of the input matrix.
computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Computes the correlation matrix for the columns of the input rectangular array.
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math.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.math.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.math.stat.correlation.Covariance
Compute a covariance matrix from a matrix whose columns represent covariates.
computeCovarianceMatrix(RealMatrix) - Method in class org.apache.commons.math.stat.correlation.Covariance
Create a covariance matrix from a matrix whose columns represent covariates.
computeCovarianceMatrix(double[][], boolean) - Method in class org.apache.commons.math.stat.correlation.Covariance
Compute a covariance matrix from a rectangular array whose columns represent covariates.
computeCovarianceMatrix(double[][]) - Method in class org.apache.commons.math.stat.correlation.Covariance
Create a covariance matrix from a rectangual array whose columns represent covariates.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math.ode.AbstractIntegrator
Compute the derivatives and check the number of evaluations.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math.ode.FirstOrderConverter
Get the current time derivative of the state vector.
computeDerivatives(double, double[], double[]) - Method in interface org.apache.commons.math.ode.FirstOrderDifferentialEquations
Get the current time derivative of the state vector.
computeDistribution() - Method in class org.apache.commons.math.random.ValueServer
Computes the empirical distribution using values from the file in valuesFileURL, using the default number of bins.
computeDistribution(int) - Method in class org.apache.commons.math.random.ValueServer
Computes the empirical distribution using values from the file in valuesFileURL and binCount bins.
computeDividedDifference(double[], double[]) - Static method in class org.apache.commons.math.analysis.interpolation.DividedDifferenceInterpolator
Returns a copy of the divided difference array.
computeExp(Dfp, Dfp) - Static method in class org.apache.commons.math.dfp.DfpField
Compute exp(a).
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math.ode.sampling.DummyStepInterpolator
Compute the state at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Compute the state and derivatives at the interpolated time.
computeJacobians(double, double[], double[], double[][], double[][]) - Method in interface org.apache.commons.math.ode.jacobians.ODEWithJacobians
Deprecated. Compute the partial derivatives of ODE with respect to state.
computeLn(Dfp, Dfp, Dfp) - Static method in class org.apache.commons.math.dfp.DfpField
Compute ln(a).
computeObjectiveGradient(double[]) - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Compute the gradient vector.
computeObjectiveValue(double[]) - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Compute the objective function value.
computeObjectiveValue(UnivariateRealFunction, double) - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Deprecated. in 2.2. Use this replacement instead.
computeObjectiveValue(double) - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Compute the objective function value.
computeSecondDerivatives(double, double[], double[], double[]) - Method in interface org.apache.commons.math.ode.SecondOrderDifferentialEquations
Get the current time derivative of the state vector.
computeStepGrowShrinkFactor(double) - Method in class org.apache.commons.math.ode.MultistepIntegrator
Compute step grow/shrink factor according to normalized error.
conjugate() - Method in class org.apache.commons.math.complex.Complex
Return the conjugate of this complex number.
ConjugateGradientFormula - Enum in org.apache.commons.math.optimization.general
Available choices of update formulas for the β parameter in NonLinearConjugateGradientOptimizer.
CONSTANT_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Always return mu
containsClass(Class<?>) - Method in class org.apache.commons.math.util.TransformerMap
Tests if a Class is present in the TransformerMap.
containsKey(int) - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Check if a value is associated with a key.
containsKey(int) - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Check if a value is associated with a key.
containsTransformer(NumberTransformer) - Method in class org.apache.commons.math.util.TransformerMap
Tests if a NumberTransformer is present in the TransformerMap.
CONTINUE - Static variable in interface org.apache.commons.math.ode.events.EventHandler
Continue indicator.
CONTINUE - Static variable in interface org.apache.commons.math.ode.jacobians.EventHandlerWithJacobians
Deprecated. Continue indicator.
ContinuedFraction - Class in org.apache.commons.math.util
Provides a generic means to evaluate continued fractions.
ContinuedFraction() - Constructor for class org.apache.commons.math.util.ContinuedFraction
Default constructor.
ContinuousDistribution - Interface in org.apache.commons.math.distribution
Base interface for continuous distributions.
ContinuousOutputModel - Class in org.apache.commons.math.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.math.ode.ContinuousOutputModel
Simple constructor.
contract() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Contracts the storage array to the (size of the element set) + 1 - to avoid a zero length array.
contractionCriteria - Variable in class org.apache.commons.math.util.ResizableDoubleArray
The contraction criteria determines when the internal array will be contracted to fit the number of elements contained in the element array + 1.
converged(int, RealPointValuePair, RealPointValuePair) - Method in interface org.apache.commons.math.optimization.RealConvergenceChecker
Check if the optimization algorithm has converged considering the last points.
converged(int, RealPointValuePair, RealPointValuePair) - Method in class org.apache.commons.math.optimization.SimpleRealPointChecker
Check if the optimization algorithm has converged considering the last points.
converged(int, RealPointValuePair, RealPointValuePair) - Method in class org.apache.commons.math.optimization.SimpleScalarValueChecker
Check if the optimization algorithm has converged considering the last points.
converged(int, VectorialPointValuePair, VectorialPointValuePair) - Method in class org.apache.commons.math.optimization.SimpleVectorialPointChecker
Check if the optimization algorithm has converged considering the last points.
converged(int, VectorialPointValuePair, VectorialPointValuePair) - Method in class org.apache.commons.math.optimization.SimpleVectorialValueChecker
Check if the optimization algorithm has converged considering the last points.
converged(int, VectorialPointValuePair, VectorialPointValuePair) - Method in interface org.apache.commons.math.optimization.VectorialConvergenceChecker
Check if the optimization algorithm has converged considering the last points.
ConvergenceException - Exception in org.apache.commons.math
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.math.ConvergenceException
Default constructor.
ConvergenceException(String, Object...) - Constructor for exception org.apache.commons.math.ConvergenceException
Deprecated. as of 2.2 replaced by ConvergenceException.ConvergenceException(Localizable, Object...)
ConvergenceException(Localizable, Object...) - Constructor for exception org.apache.commons.math.ConvergenceException
Constructs an exception with specified formatted detail message.
ConvergenceException(Throwable) - Constructor for exception org.apache.commons.math.ConvergenceException
Create an exception with a given root cause.
ConvergenceException(Throwable, String, Object...) - Constructor for exception org.apache.commons.math.ConvergenceException
Deprecated. as of 2.2 replaced by ConvergenceException.ConvergenceException(Throwable, Localizable, Object...)
ConvergenceException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math.ConvergenceException
Constructs an exception with specified formatted detail message and root cause.
ConvergenceException - Exception in org.apache.commons.math.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.math.exception.ConvergenceException
Construct the exception.
ConvergenceException(Localizable) - Constructor for exception org.apache.commons.math.exception.ConvergenceException
Construct the exception with a specific context.
ConvergenceException(Localizable, Object...) - Constructor for exception org.apache.commons.math.exception.ConvergenceException
Construct the exception with a specific context and arguments.
ConvergingAlgorithm - Interface in org.apache.commons.math
Deprecated. in 2.2 (to be removed in 3.0). The concept of "iteration" will be moved to a new IterativeAlgorithm. The concept of "accuracy" is currently is also contained in SimpleRealPointChecker and similar classes.
ConvergingAlgorithmImpl - Class in org.apache.commons.math
Deprecated. in 2.2 (to be removed in 3.0).
ConvergingAlgorithmImpl(int, double) - Constructor for class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. in 2.2. Derived classes should use the "setter" methods in order to assign meaningful values to all the instances variables.
ConvergingAlgorithmImpl() - Constructor for class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. in 2.2 (to be removed as soon as the single non-default one has been removed).
copy() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.AbstractRealVector
Returns a (deep) copy of this vector.
copy() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns a (deep) copy of this vector.
copy() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new BigMatrix which is a copy of this.
copy() - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns a (deep) copy of this.
copy() - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns a (deep) copy of this.
copy() - Method in interface org.apache.commons.math.linear.FieldVector
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Returns a (deep) copy of this vector.
copy() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns a (deep) copy of this.
copy() - Method in interface org.apache.commons.math.linear.RealVector
Returns a (deep) copy of this vector.
copy() - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.SparseFieldVector
Returns a (deep) copy of this.
copy() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Copy the instance.
copy() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Copy the instance.
copy() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Copy the instance.
copy() - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math.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.math.stat.descriptive.DescriptiveStatistics
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Returns a copy of the statistic with the same internal state.
copy(FirstMoment, FirstMoment) - Static method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Returns a copy of the statistic with the same internal state.
copy(FourthMoment, FourthMoment) - Static method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Copies source to dest.
copy() - Method in class org.apache.commons.math.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.math.stat.descriptive.moment.GeometricMean
Copies source to dest.
copy() - Method in class org.apache.commons.math.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.math.stat.descriptive.moment.Kurtosis
Copies source to dest.
copy() - Method in class org.apache.commons.math.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.math.stat.descriptive.moment.Mean
Copies source to dest.
copy() - Method in class org.apache.commons.math.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.math.stat.descriptive.moment.SecondMoment
Copies source to dest.
copy() - Method in class org.apache.commons.math.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.math.stat.descriptive.moment.SemiVariance
Copies source to dest.
copy() - Method in class org.apache.commons.math.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.math.stat.descriptive.moment.Skewness
Copies source to dest.
copy() - Method in class org.apache.commons.math.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.math.stat.descriptive.moment.StandardDeviation
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Returns a copy of the statistic with the same internal state.
copy(ThirdMoment, ThirdMoment) - Static method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Copies source to dest.
copy() - Method in class org.apache.commons.math.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.math.stat.descriptive.moment.Variance
Copies source to dest.
copy() - Method in class org.apache.commons.math.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.math.stat.descriptive.rank.Max
Copies source to dest.
copy() - Method in class org.apache.commons.math.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.math.stat.descriptive.rank.Min
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Returns a copy of the statistic with the same internal state.
copy(Percentile, Percentile) - Static method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Copies source to dest.
copy() - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math.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.math.stat.descriptive.summary.Product
Copies source to dest.
copy() - Method in class org.apache.commons.math.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.math.stat.descriptive.summary.Sum
Copies source to dest.
copy() - Method in class org.apache.commons.math.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.math.stat.descriptive.summary.SumOfLogs
Copies source to dest.
copy() - Method in class org.apache.commons.math.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.math.stat.descriptive.summary.SumOfSquares
Copies source to dest.
copy() - Method in class org.apache.commons.math.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.math.stat.descriptive.SummaryStatistics
Copies source to dest.
copy() - Method in class org.apache.commons.math.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.math.stat.descriptive.SynchronizedDescriptiveStatistics
Copies source to dest.
copy() - Method in class org.apache.commons.math.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.math.stat.descriptive.SynchronizedSummaryStatistics
Copies source to dest.
copy() - Method in interface org.apache.commons.math.stat.descriptive.UnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy(ResizableDoubleArray, ResizableDoubleArray) - Static method in class org.apache.commons.math.util.ResizableDoubleArray
Copies source to dest, copying the underlying data, so dest is a new, independent copy of source.
copy() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns a copy of the ResizableDoubleArray.
copysign(Dfp, Dfp) - Static method in class org.apache.commons.math.dfp.Dfp
Creates an instance that is the same as x except that it has the sign of y.
copySign(double, double) - Static method in class org.apache.commons.math.util.FastMath
Returns the first argument with the sign of the second argument.
copySign(float, float) - Static method in class org.apache.commons.math.util.FastMath
Returns the first argument with the sign of the second argument.
copySubMatrix(int, int, int, int, T[][]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Copy a submatrix.
copySubMatrix(int[], int[], T[][]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, double[][]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Copy a submatrix.
copySubMatrix(int[], int[], double[][]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, T[][]) - Method in interface org.apache.commons.math.linear.FieldMatrix
Copy a submatrix.
copySubMatrix(int[], int[], T[][]) - Method in interface org.apache.commons.math.linear.FieldMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, double[][]) - Method in interface org.apache.commons.math.linear.RealMatrix
Copy a submatrix.
copySubMatrix(int[], int[], double[][]) - Method in interface org.apache.commons.math.linear.RealMatrix
Copy a submatrix.
CorrelatedRandomVectorGenerator - Class in org.apache.commons.math.random
A RandomVectorGenerator that generates vectors with with correlated components.
CorrelatedRandomVectorGenerator(double[], RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Simple constructor.
CorrelatedRandomVectorGenerator(RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Simple constructor.
correlation(double[], double[]) - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Computes the Pearson's product-moment correlation coefficient between the two arrays.
correlation(double[], double[]) - Method in class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Computes the Spearman's rank correlation coefficient between the two arrays.
COS - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.cos method wrapped as a ComposableFunction.
cos() - Method in class org.apache.commons.math.complex.Complex
Compute the cosine of this complex number.
cos(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath
computes the cosine of the argument.
cos(double) - Static method in class org.apache.commons.math.util.FastMath
Cosine function
COSH - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.cosh method wrapped as a ComposableFunction.
cosh() - Method in class org.apache.commons.math.complex.Complex
Compute the hyperbolic cosine of this complex number.
cosh(double) - Static method in class org.apache.commons.math.util.FastMath
Compute the hyperbolic cosine of a number.
cosh(double) - Static method in class org.apache.commons.math.util.MathUtils
Returns the hyperbolic cosine of x.
cosInternal(Dfp[]) - Static method in class org.apache.commons.math.dfp.DfpMath
Computes cos(a) Used when 0 < a < pi/4.
cost - Variable in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Cost value (square root of the sum of the residuals).
cost - Variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Cost value (square root of the sum of the residuals).
Covariance - Class in org.apache.commons.math.stat.correlation
Computes covariances for pairs of arrays or columns of a matrix.
Covariance() - Constructor for class org.apache.commons.math.stat.correlation.Covariance
Create a Covariance with no data
Covariance(double[][], boolean) - Constructor for class org.apache.commons.math.stat.correlation.Covariance
Create a Covariance matrix from a rectangular array whose columns represent covariates.
Covariance(double[][]) - Constructor for class org.apache.commons.math.stat.correlation.Covariance
Create a Covariance matrix from a rectangular array whose columns represent covariates.
Covariance(RealMatrix, boolean) - Constructor for class org.apache.commons.math.stat.correlation.Covariance
Create a covariance matrix from a matrix whose columns represent covariates.
Covariance(RealMatrix) - Constructor for class org.apache.commons.math.stat.correlation.Covariance
Create a covariance matrix from a matrix whose columns represent covariates.
covariance(double[], double[], boolean) - Method in class org.apache.commons.math.stat.correlation.Covariance
Computes the covariance between the two arrays.
covariance(double[], double[]) - Method in class org.apache.commons.math.stat.correlation.Covariance
Computes the covariance between the two arrays, using the bias-corrected formula.
covarianceToCorrelation(RealMatrix) - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Derives a correlation matrix from a covariance matrix.
createAdaptor(RandomGenerator) - Static method in class org.apache.commons.math.random.RandomAdaptor
Factory method to create a Random using the supplied RandomGenerator.
createArithmeticException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.createArithmeticException(Localizable, Object...)
createArithmeticException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new ArithmeticException with specified formatted detail message.
createArrayIndexOutOfBoundsException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.createArrayIndexOutOfBoundsException(Localizable, Object...)
createArrayIndexOutOfBoundsException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new ArrayIndexOutOfBoundsException with specified formatted detail message.
createBigIdentityMatrix(int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0, replaced by MatrixUtils.createFieldIdentityMatrix(Field, int)
createBigMatrix(double[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createFieldMatrix(FieldElement[][])
createBigMatrix(BigDecimal[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createFieldMatrix(FieldElement[][])
createBigMatrix(BigDecimal[][], boolean) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createFieldMatrix(FieldElement[][])
createBigMatrix(String[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createFieldMatrix(FieldElement[][])
createBlocksLayout(Field<T>, int, int) - Static method in class org.apache.commons.math.linear.BlockFieldMatrix
Create a data array in blocks layout.
createBlocksLayout(int, int) - Static method in class org.apache.commons.math.linear.BlockRealMatrix
Create a data array in blocks layout.
createChebyshevPolynomial(int) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils
Create a Chebyshev polynomial of the first kind.
createColumnBigMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createColumnFieldMatrix(FieldElement[])
createColumnBigMatrix(BigDecimal[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createColumnFieldMatrix(FieldElement[])
createColumnBigMatrix(String[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createColumnFieldMatrix(FieldElement[])
createColumnFieldMatrix(T[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a column FieldMatrix using the data from the input array.
createColumnRealMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a column RealMatrix using the data from the input array.
createComplex(double, double) - Method in class org.apache.commons.math.complex.Complex
Create a complex number given the real and imaginary parts.
createConcurrentModificationException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.createConcurrentModificationException(Localizable, Object...)
createConcurrentModificationException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new ConcurrentModificationException with specified formatted detail message.
createContributingStatistics() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Creates and returns a SummaryStatistics whose data will be aggregated with those of this AggregateSummaryStatistics.
createEOFException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.createEOFException(Localizable, Object...)
createEOFException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new EOFException with specified formatted detail message.
createFieldDiagonalMatrix(T[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a diagonal matrix with specified elements.
createFieldIdentityMatrix(Field<T>, int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns dimension x dimension identity matrix.
createFieldMatrix(Field<T>, int, int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a FieldMatrix with specified dimensions.
createFieldMatrix(T[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a FieldMatrix whose entries are the the values in the the input array.
createFieldVector(T[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a FieldVector using the data from the input array.
createHermitePolynomial(int) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils
Create a Hermite polynomial.
createIllegalArgumentException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.createIllegalArgumentException(Localizable, Object...)
createIllegalArgumentException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new IllegalArgumentException with specified formatted detail message.
createIllegalArgumentException(Throwable) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new IllegalArgumentException with specified nested Throwable root cause.
createIllegalStateException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.createIllegalStateException(Localizable, Object...)
createIllegalStateException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new IllegalStateException with specified formatted detail message.
createInternalError(Throwable) - Static method in exception org.apache.commons.math.MathRuntimeException
Create an RuntimeException for an internal error.
createIOException(Throwable) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new IOException with specified nested Throwable root cause.
createLaguerrePolynomial(int) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils
Create a Laguerre polynomial.
createLegendrePolynomial(int) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils
Create a Legendre polynomial.
createMatrix(int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.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.math.linear.Array2DRowFieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.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.math.linear.BlockFieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.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 interface org.apache.commons.math.linear.FieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.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.math.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.math.linear.RealMatrixImpl
Deprecated. 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.math.linear.SparseFieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createNoSuchElementException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.createNoSuchElementException(Localizable, Object...)
createNoSuchElementException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new NoSuchElementException with specified formatted detail message.
createNullPointerException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.createNullPointerException(Localizable, Object...)
createNullPointerException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. in 2.2. Checks for "null" must not be performed in Commons-Math.
createParametersGuesser(WeightedObservedPoint[]) - Method in class org.apache.commons.math.optimization.fitting.GaussianFitter
Factory method to create a GaussianParametersGuesser instance initialized with the specified observations.
createParseException(int, String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.createParseException(int, Localizable, Object...)
createParseException(int, Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new ParseException with specified formatted detail message.
createRealDiagonalMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a diagonal matrix with specified elements.
createRealIdentityMatrix(int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns dimension x dimension identity matrix.
createRealMatrix(int, int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a RealMatrix with specified dimensions.
createRealMatrix(double[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a RealMatrix whose entries are the the values in the the input array.
createRealVector(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a RealVector using the data from the input array.
createRowBigMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createRowFieldMatrix(FieldElement[])
createRowBigMatrix(BigDecimal[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createRowFieldMatrix(FieldElement[])
createRowBigMatrix(String[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createRowFieldMatrix(FieldElement[])
createRowFieldMatrix(T[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a row FieldMatrix using the data from the input array.
createRowRealMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a row RealMatrix using the data from the input array.
createUnsupportedOperationException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. in 2.2. Please use MathUnsupportedOperationException instead.
crossover(Chromosome, Chromosome) - Method in interface org.apache.commons.math.genetics.CrossoverPolicy
Perform a crossover operation on the given chromosomes.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math.genetics.OnePointCrossover
Performs one point crossover.
CrossoverPolicy - Interface in org.apache.commons.math.genetics
Policy used to create a pair of new chromosomes by performing a crossover operation on a source pair of chromosomes.
crossProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the cross-product of two vectors.
cumulativeProbability(double, double) - Method in class org.apache.commons.math.distribution.AbstractDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).
cumulativeProbability(double, double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).
cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).
cumulativeProbability(int, int) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).
cumulativeProbability(double, double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).
cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
For this distribution, X, this method returns P(X ≤ x).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(double) - Method in interface org.apache.commons.math.distribution.Distribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).
cumulativeProbability(double, double) - Method in interface org.apache.commons.math.distribution.Distribution
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
For this distribution, X, this method returns P(X ≤ x).
cumulativeProbability(int) - Method in interface org.apache.commons.math.distribution.IntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).
cumulativeProbability(int, int) - Method in interface org.apache.commons.math.distribution.IntegerDistribution
For this distribution, X, this method returns P(x0 ≤ X ≤ x1).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
For this distribution, X, this method returns P(X ≤ x).
cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
The probability distribution function P(X <= x) for a Poisson distribution.
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
The probability distribution function P(X <= x) for a Zipf distribution.
currentState - Variable in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
current state
CurveFitter - Class in org.apache.commons.math.optimization.fitting
Fitter for parametric univariate real functions y = f(x).
CurveFitter(DifferentiableMultivariateVectorialOptimizer) - Constructor for class org.apache.commons.math.optimization.fitting.CurveFitter
Simple constructor.

D

data - Variable in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Entries of the matrix
data - Variable in class org.apache.commons.math.linear.Array2DRowRealMatrix
Entries of the matrix
data - Variable in class org.apache.commons.math.linear.ArrayFieldVector
Entries of the vector.
data - Variable in class org.apache.commons.math.linear.ArrayRealVector
Entries of the vector.
data - Variable in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Entries of the matrix
data - Variable in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Entries of the matrix
decode(List<T>) - Method in interface org.apache.commons.math.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.math.genetics.RandomKey
Permutes the sequence of objects of type T according to the permutation this chromosome represents.
DecompositionSolver - Interface in org.apache.commons.math.linear
Interface handling decomposition algorithms that can solve A × X = B.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.analysis.solvers.BrentSolver
Default absolute accuracy
DEFAULT_ABSOLUTE_POSITIVITY_THRESHOLD - Static variable in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Default threshold below which diagonal elements are considered null and matrix not positive definite.
DEFAULT_ACCURACY - Static variable in class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Default value for accuracy.
DEFAULT_BANDWIDTH - Static variable in class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Default value of the bandwidth parameter.
DEFAULT_BRIGHTNESS_EXPONENT - Static variable in class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolator
Default exponent used the weights calculation.
DEFAULT_EPSILON - Static variable in class org.apache.commons.math.distribution.PoissonDistributionImpl
Default convergence criterion.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.BetaDistributionImpl
Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.CauchyDistributionImpl
Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.FDistributionImpl
Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.GammaDistributionImpl
Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.NormalDistributionImpl
Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.TDistributionImpl
Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.WeibullDistributionImpl
Default inverse cumulative probability accuracy
DEFAULT_LS_ABSOLUTE_TOLERANCE - Static variable in class org.apache.commons.math.optimization.direct.PowellOptimizer
Default absolute tolerance for line search (1.0E-11).
DEFAULT_LS_RELATIVE_TOLERANCE - Static variable in class org.apache.commons.math.optimization.direct.PowellOptimizer
Default relative tolerance for line search (1.0E-7).
DEFAULT_MAX_COST_EVALUATIONS - Static variable in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Default maximal number of cost evaluations allowed.
DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math.distribution.PoissonDistributionImpl
Default maximum number of iterations for cumulative probability calculations.
DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Default maximal number of iterations allowed.
DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Default maximal number of iterations allowed.
DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Default maximal number of iterations allowed.
DEFAULT_MAXIMUM_ITERATIONS - Static variable in class org.apache.commons.math.analysis.solvers.BrentSolver
Default maximum number of iterations
DEFAULT_MICROSPHERE_ELEMENTS - Static variable in class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolator
Default number of surface elements that composes the microsphere.
DEFAULT_NAN_STRATEGY - Static variable in class org.apache.commons.math.stat.ranking.NaturalRanking
default NaN strategy
DEFAULT_RELATIVE_SYMMETRY_THRESHOLD - Static variable in class org.apache.commons.math.linear.CholeskyDecompositionImpl
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.math.analysis.interpolation.LoessInterpolator
Default value of the number of robustness iterations.
DEFAULT_TIES_STRATEGY - Static variable in class org.apache.commons.math.stat.ranking.NaturalRanking
default ties strategy
DEFAULT_ZERO_TOLERANCE - Static variable in class org.apache.commons.math.linear.OpenMapRealVector
Default Tolerance for having a value considered zero.
defaultAbsoluteAccuracy - Variable in class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. Default maximum absolute error.
DefaultFieldMatrixChangingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
Default implementation of the FieldMatrixChangingVisitor interface.
DefaultFieldMatrixChangingVisitor(T) - Constructor for class org.apache.commons.math.linear.DefaultFieldMatrixChangingVisitor
Build a new instance.
DefaultFieldMatrixPreservingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
Default implementation of the FieldMatrixPreservingVisitor interface.
DefaultFieldMatrixPreservingVisitor(T) - Constructor for class org.apache.commons.math.linear.DefaultFieldMatrixPreservingVisitor
Build a new instance.
defaultFunctionValueAccuracy - Variable in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Deprecated. Default maximum error of function.
defaultMaximalIterationCount - Variable in class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. Default maximum number of iterations.
defaultMinimalIterationCount - Variable in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
default minimum number of iterations
DefaultRealMatrixChangingVisitor - Class in org.apache.commons.math.linear
Default implementation of the RealMatrixChangingVisitor interface.
DefaultRealMatrixChangingVisitor() - Constructor for class org.apache.commons.math.linear.DefaultRealMatrixChangingVisitor
 
DefaultRealMatrixPreservingVisitor - Class in org.apache.commons.math.linear
Default implementation of the RealMatrixPreservingVisitor interface.
DefaultRealMatrixPreservingVisitor() - Constructor for class org.apache.commons.math.linear.DefaultRealMatrixPreservingVisitor
 
defaultRelativeAccuracy - Variable in class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. Default maximum relative error.
DefaultTransformer - Class in org.apache.commons.math.util
A Default NumberTransformer for java.lang.Numbers and Numeric Strings.
DefaultTransformer() - Constructor for class org.apache.commons.math.util.DefaultTransformer
 
degree() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Returns the degree of the polynomial
degree() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns the degree of the polynomial.
degree() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Returns the degree of the polynomial.
denominatorFormat - Variable in class org.apache.commons.math.fraction.AbstractFormat
The format used for the denominator.
density(double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution
Return the probability density for a particular point.
density(Double) - Method in interface org.apache.commons.math.distribution.BetaDistribution
Return the probability density for a particular point.
density(Double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Deprecated.  
density(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Return the probability density for a particular point.
density(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Returns the probability density for a particular point.
density(Double) - Method in interface org.apache.commons.math.distribution.ChiSquaredDistribution
Return the probability density for a particular point.
density(Double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Deprecated.  
density(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Return the probability density for a particular point.
density(Double) - Method in interface org.apache.commons.math.distribution.ExponentialDistribution
Return the probability density for a particular point.
density(Double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Deprecated. - use density(double)
density(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Return the probability density for a particular point.
density(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
Returns the probability density for a particular point.
density(Double) - Method in interface org.apache.commons.math.distribution.GammaDistribution
Return the probability density for a particular point.
density(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Returns the probability density for a particular point.
density(Double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Deprecated.  
density(P) - Method in interface org.apache.commons.math.distribution.HasDensity
Deprecated. Compute the probability density function.
density(Double) - Method in interface org.apache.commons.math.distribution.NormalDistribution
Return the probability density for a particular point.
density(Double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Deprecated.  
density(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Returns the probability density for a particular point.
density(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
Returns the probability density for a particular point.
density(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Returns the probability density for a particular point.
derivative() - Method in interface org.apache.commons.math.analysis.DifferentiableUnivariateMatrixFunction
Returns the derivative of the function
derivative() - Method in interface org.apache.commons.math.analysis.DifferentiableUnivariateRealFunction
Returns the derivative of the function
derivative() - Method in interface org.apache.commons.math.analysis.DifferentiableUnivariateVectorialFunction
Returns the derivative of the function
derivative() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Returns the derivative as a UnivariateRealFunction
derivative() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Returns the derivative of the polynomial spline function as a UnivariateRealFunction
derivative() - Method in class org.apache.commons.math.optimization.fitting.GaussianFunction
Returns the derivative of the function
derivative() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFunction
Returns the derivative of the function
DerivativeException - Exception in org.apache.commons.math.ode
This exception is made available to users to report the error conditions that are triggered while computing the differential equations.
DerivativeException(String, Object...) - Constructor for exception org.apache.commons.math.ode.DerivativeException
Simple constructor.
DerivativeException(Localizable, Object...) - Constructor for exception org.apache.commons.math.ode.DerivativeException
Simple constructor.
DerivativeException(Throwable) - Constructor for exception org.apache.commons.math.ode.DerivativeException
Build an instance from an underlying cause.
DescriptiveStatistics - Class in org.apache.commons.math.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.math.stat.descriptive.DescriptiveStatistics
Construct a DescriptiveStatistics instance with an infinite window
DescriptiveStatistics(int) - Constructor for class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Construct a DescriptiveStatistics instance with the specified window
DescriptiveStatistics(double[]) - Constructor for class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Construct a DescriptiveStatistics instance with an infinite window and the initial data values in double[] initialDoubleArray.
DescriptiveStatistics(DescriptiveStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Copy constructor.
deserializeRealMatrix(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deserialize a RealMatrix field in a class.
deserializeRealVector(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deserialize a RealVector field in a class.
dev - Variable in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Deviation of most recently added value from previous first moment.
df(double, double, double, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes approximate degrees of freedom for 2-sample t-test.
Dfp - Class in org.apache.commons.math.dfp
Decimal floating point library for Java
Dfp(DfpField) - Constructor for class org.apache.commons.math.dfp.Dfp
Makes an instance with a value of zero.
Dfp(DfpField, byte) - Constructor for class org.apache.commons.math.dfp.Dfp
Create an instance from a byte value.
Dfp(DfpField, int) - Constructor for class org.apache.commons.math.dfp.Dfp
Create an instance from an int value.
Dfp(DfpField, long) - Constructor for class org.apache.commons.math.dfp.Dfp
Create an instance from a long value.
Dfp(DfpField, double) - Constructor for class org.apache.commons.math.dfp.Dfp
Create an instance from a double value.
Dfp(Dfp) - Constructor for class org.apache.commons.math.dfp.Dfp
Copy constructor.
Dfp(DfpField, String) - Constructor for class org.apache.commons.math.dfp.Dfp
Create an instance from a String representation.
Dfp(DfpField, byte, byte) - Constructor for class org.apache.commons.math.dfp.Dfp
Creates an instance with a non-finite value.
dfp2sci() - Method in class org.apache.commons.math.dfp.Dfp
Convert an instance to a string using scientific notation.
dfp2string() - Method in class org.apache.commons.math.dfp.Dfp
Convert an instance to a string using normal notation.
DfpDec - Class in org.apache.commons.math.dfp
Subclass of Dfp which hides the radix-10000 artifacts of the superclass.
DfpDec(DfpField) - Constructor for class org.apache.commons.math.dfp.DfpDec
Makes an instance with a value of zero.
DfpDec(DfpField, byte) - Constructor for class org.apache.commons.math.dfp.DfpDec
Create an instance from a byte value.
DfpDec(DfpField, int) - Constructor for class org.apache.commons.math.dfp.DfpDec
Create an instance from an int value.
DfpDec(DfpField, long) - Constructor for class org.apache.commons.math.dfp.DfpDec
Create an instance from a long value.
DfpDec(DfpField, double) - Constructor for class org.apache.commons.math.dfp.DfpDec
Create an instance from a double value.
DfpDec(Dfp) - Constructor for class org.apache.commons.math.dfp.DfpDec
Copy constructor.
DfpDec(DfpField, String) - Constructor for class org.apache.commons.math.dfp.DfpDec
Create an instance from a String representation.
DfpDec(DfpField, byte, byte) - Constructor for class org.apache.commons.math.dfp.DfpDec
Creates an instance with a non-finite value.
DfpField - Class in org.apache.commons.math.dfp
Field for Decimal floating point instances.
DfpField(int) - Constructor for class org.apache.commons.math.dfp.DfpField
Create a factory for the specified number of radix digits.
DfpField.RoundingMode - Enum in org.apache.commons.math.dfp
Enumerate for rounding modes.
DfpMath - Class in org.apache.commons.math.dfp
Mathematical routines for use with Dfp.
DifferentiableMultivariateRealFunction - Interface in org.apache.commons.math.analysis
Extension of MultivariateRealFunction representing a differentiable multivariate real function.
DifferentiableMultivariateRealOptimizer - Interface in org.apache.commons.math.optimization
This interface represents an optimization algorithm for scalar differentiable objective functions.
DifferentiableMultivariateVectorialFunction - Interface in org.apache.commons.math.analysis
Extension of MultivariateVectorialFunction representing a differentiable multivariate vectorial function.
DifferentiableMultivariateVectorialOptimizer - Interface in org.apache.commons.math.optimization
This interface represents an optimization algorithm for vectorial differentiable objective functions.
DifferentiableUnivariateMatrixFunction - Interface in org.apache.commons.math.analysis
Extension of UnivariateMatrixFunction representing a differentiable univariate matrix function.
DifferentiableUnivariateRealFunction - Interface in org.apache.commons.math.analysis
Extension of UnivariateRealFunction representing a differentiable univariate real function.
DifferentiableUnivariateVectorialFunction - Interface in org.apache.commons.math.analysis
Extension of UnivariateVectorialFunction representing a differentiable univariate vectorial function.
differentiate(double[]) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Returns the coefficients of the derivative of the polynomial with the given coefficients.
digamma(double) - Static method in class org.apache.commons.math.special.Gamma
Computes the digamma function of x.
DIGEST_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Use empirical distribution.
DimensionMismatchException - Exception in org.apache.commons.math
Deprecated. in 2.2 (to be removed in 3.0). Please use its equivalent from package org.apache.commons.math.exception.
DimensionMismatchException(int, int) - Constructor for exception org.apache.commons.math.DimensionMismatchException
Deprecated. Construct an exception from the mismatched dimensions
DimensionMismatchException - Exception in org.apache.commons.math.exception
Exception to be thrown when two dimensions differ.
DimensionMismatchException(int, int) - Constructor for exception org.apache.commons.math.exception.DimensionMismatchException
Construct an exception from the mismatched dimensions.
DirectSearchOptimizer - Class in org.apache.commons.math.optimization.direct
This class implements simplex-based direct search optimization algorithms.
DirectSearchOptimizer() - Constructor for class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Simple constructor.
discardFrontElements(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Discards the i initial elements of the array.
discardMostRecentElements(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Discards the i last elements of the array.
DiscreteDistribution - Interface in org.apache.commons.math.distribution
Base interface for discrete distributions.
distance(Rotation, Rotation) - Static method in class org.apache.commons.math.geometry.Rotation
Compute the distance between two rotations.
distance(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the distance between two vectors according to the L2 norm.
distance(double[], double[]) - Static method in class org.apache.commons.math.util.MathUtils
Calculates the L2 (Euclidean) distance between two points.
distance(int[], int[]) - Static method in class org.apache.commons.math.util.MathUtils
Calculates the L2 (Euclidean) distance between two points.
distance1(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the distance between two vectors according to the L1 norm.
distance1(double[], double[]) - Static method in class org.apache.commons.math.util.MathUtils
Calculates the L1 (sum of abs) distance between two points.
distance1(int[], int[]) - Static method in class org.apache.commons.math.util.MathUtils
Calculates the L1 (sum of abs) distance between two points.
distanceFrom(T) - Method in interface org.apache.commons.math.stat.clustering.Clusterable
Returns the distance from the given point.
distanceFrom(EuclideanIntegerPoint) - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
Returns the distance from the given point.
distanceInf(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the distance between two vectors according to the L norm.
distanceInf(double[], double[]) - Static method in class org.apache.commons.math.util.MathUtils
Calculates the L (max of abs) distance between two points.
distanceInf(int[], int[]) - Static method in class org.apache.commons.math.util.MathUtils
Calculates the L (max of abs) distance between two points.
distanceSq(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the square of the distance between two vectors.
Distribution - Interface in org.apache.commons.math.distribution
Base interface for probability distributions.
DIVIDE - Static variable in class org.apache.commons.math.analysis.BinaryFunction
Deprecated. The / operator method wrapped as a BinaryFunction.
divide(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction
Return a function dividing the instance by another function.
divide(Complex) - Method in class org.apache.commons.math.complex.Complex
Return the quotient of this complex number and the given complex number.
divide(Dfp) - Method in class org.apache.commons.math.dfp.Dfp
Divide this by divisor.
divide(int) - Method in class org.apache.commons.math.dfp.Dfp
Divide by a single digit less than radix.
divide(T) - Method in interface org.apache.commons.math.FieldElement
Compute this ÷ a.
divide(BigInteger) - Method in class org.apache.commons.math.fraction.BigFraction
Divide the value of this fraction by the passed BigInteger, ie "this * 1 / bg", returning the result in reduced form.
divide(int) - Method in class org.apache.commons.math.fraction.BigFraction
Divide the value of this fraction by the passed int, ie "this * 1 / i", returning the result in reduced form.
divide(long) - Method in class org.apache.commons.math.fraction.BigFraction
Divide the value of this fraction by the passed long, ie "this * 1 / l", returning the result in reduced form.
divide(BigFraction) - Method in class org.apache.commons.math.fraction.BigFraction
Divide the value of this fraction by another, returning the result in reduced form.
divide(Fraction) - Method in class org.apache.commons.math.fraction.Fraction
Divide the value of this fraction by another.
divide(int) - Method in class org.apache.commons.math.fraction.Fraction
Divide the fraction by an integer.
divide(BigReal) - Method in class org.apache.commons.math.util.BigReal
Compute this ÷ a.
DividedDifferenceInterpolator - Class in org.apache.commons.math.analysis.interpolation
Implements the Divided Difference Algorithm for interpolation of real univariate functions.
DividedDifferenceInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.DividedDifferenceInterpolator
 
doCopy() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math.ode.sampling.DummyStepInterpolator
Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Really copy the finalized instance.
doFinalize() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Really finalize the step.
doIteration(SimplexTableau) - Method in class org.apache.commons.math.optimization.linear.SimplexSolver
Runs one iteration of the Simplex method on the given model.
doOptimize() - Method in class org.apache.commons.math.optimization.direct.PowellOptimizer
Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math.optimization.general.GaussNewtonOptimizer
Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer
Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math.optimization.linear.SimplexSolver
Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Method for implementing actual optimization algorithms in derived classes.
doOptimize() - Method in class org.apache.commons.math.optimization.univariate.BrentOptimizer
Method for implementing actual optimization algorithms in derived classes.
DormandPrince54Integrator - Class in org.apache.commons.math.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.math.ode.nonstiff.DormandPrince54Integrator
Simple constructor.
DormandPrince54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Simple constructor.
DormandPrince853Integrator - Class in org.apache.commons.math.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.math.ode.nonstiff.DormandPrince853Integrator
Simple constructor.
DormandPrince853Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Simple constructor.
dotProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the dot-product of two vectors.
dotProduct(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector
Compute the dot product.
dotProduct(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector
Compute the dot product.
dotProduct(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the dot product.
dotProduct(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the dot product.
dotProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the dot product.
dotProduct(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the dot product.
dotProduct(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the dot product.
dotProduct(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the dot product.
dotProduct(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Compute the dot product.
dotProduct(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Compute the dot product.
dotProduct(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Optimized method to compute the dot product with an OpenMapRealVector.
dotProduct(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Compute the dot product.
dotProduct(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Compute the dot product.
dotProduct(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Compute the dot product.
dotProduct(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute the dot product.
dotProduct(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute the dot product.
dotrap(int, String, Dfp, Dfp) - Method in class org.apache.commons.math.dfp.Dfp
Raises a trap.
DoubleArray - Interface in org.apache.commons.math.util
Provides a standard interface for double arrays.
doubleValue() - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction as a double.
doubleValue() - Method in class org.apache.commons.math.fraction.Fraction
Gets the fraction as a double.
doubleValue() - Method in class org.apache.commons.math.util.BigReal
Get the double value corresponding to the instance.
DOWNSIDE_VARIANCE - Static variable in class org.apache.commons.math.stat.descriptive.moment.SemiVariance
The DOWNSIDE Direction is used to specify that the observations below the cutoff point will be used to calculate SemiVariance
DummyLocalizable - Class in org.apache.commons.math.exception.util
Dummy implementation of the Localizable interface, without localization.
DummyLocalizable(String) - Constructor for class org.apache.commons.math.exception.util.DummyLocalizable
Simple constructor.
DummyStepHandler - Class in org.apache.commons.math.ode.sampling
This class is a step handler that does nothing.
DummyStepInterpolator - Class in org.apache.commons.math.ode.sampling
This class is a step interpolator that does nothing.
DummyStepInterpolator() - Constructor for class org.apache.commons.math.ode.sampling.DummyStepInterpolator
Simple constructor.
DummyStepInterpolator(double[], double[], boolean) - Constructor for class org.apache.commons.math.ode.sampling.DummyStepInterpolator
Simple constructor.
DummyStepInterpolator(DummyStepInterpolator) - Constructor for class org.apache.commons.math.ode.sampling.DummyStepInterpolator
Copy constructor.
DuplicateSampleAbscissaException - Exception in org.apache.commons.math
Exception thrown when a sample contains several entries at the same abscissa.
DuplicateSampleAbscissaException(double, int, int) - Constructor for exception org.apache.commons.math.DuplicateSampleAbscissaException
Construct an exception indicating the duplicate abscissa.

E

E - Static variable in class org.apache.commons.math.util.FastMath
Napier's constant e, base of the natural logarithm.
ebeDivide(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector
Element-by-element division.
ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Element-by-element division.
ebeDivide(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Element-by-element division.
ebeDivide(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Element-by-element division.
ebeDivide(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Element-by-element division.
ebeDivide(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Element-by-element division.
ebeDivide(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Element-by-element division.
ebeDivide(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Element-by-element division.
ebeDivide(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Element-by-element division.
ebeDivide(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Element-by-element division.
ebeDivide(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Element-by-element division.
ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Element-by-element division.
ebeDivide(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Element-by-element division.
ebeMultiply(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector
Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Element-by-element multiplication.
ebeMultiply(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Element-by-element multiplication.
ebeMultiply(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Element-by-element multiplication.
ebeMultiply(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Element-by-element multiplication.
ebeMultiply(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Element-by-element multiplication.
ebeMultiply(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Element-by-element multiplication.
ebeMultiply(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Element-by-element multiplication.
ebeMultiply(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Element-by-element multiplication.
ebeMultiply(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Element-by-element multiplication.
eDA - Variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Stored data values
EigenDecomposition - Interface in org.apache.commons.math.linear
An interface to classes that implement an algorithm to calculate the eigen decomposition of a real matrix.
EigenDecompositionImpl - Class in org.apache.commons.math.linear
Calculates the eigen decomposition of a real symmetric matrix.
EigenDecompositionImpl(RealMatrix, double) - Constructor for class org.apache.commons.math.linear.EigenDecompositionImpl
Calculates the eigen decomposition of the given symmetric matrix.
EigenDecompositionImpl(double[], double[], double) - Constructor for class org.apache.commons.math.linear.EigenDecompositionImpl
Calculates the eigen decomposition of the symmetric tridiagonal matrix.
ElitisticListPopulation - Class in org.apache.commons.math.genetics
Population of chromosomes which uses elitism (certain percentace of the best chromosomes is directly copied to the next generation).
ElitisticListPopulation(List<Chromosome>, int, double) - Constructor for class org.apache.commons.math.genetics.ElitisticListPopulation
Creates a new ElitisticListPopulation instance.
ElitisticListPopulation(int, double) - Constructor for class org.apache.commons.math.genetics.ElitisticListPopulation
Creates a new ListPopulation instance and initializes its inner chromosome list.
EmbeddedRungeKuttaIntegrator - Class in org.apache.commons.math.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.math.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.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Build a Runge-Kutta integrator with the given Butcher array.
EmpiricalDistribution - Interface in org.apache.commons.math.random
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.
EmpiricalDistributionImpl - Class in org.apache.commons.math.random
Implements EmpiricalDistribution interface.
EmpiricalDistributionImpl() - Constructor for class org.apache.commons.math.random.EmpiricalDistributionImpl
Creates a new EmpiricalDistribution with the default bin count.
EmpiricalDistributionImpl(int) - Constructor for class org.apache.commons.math.random.EmpiricalDistributionImpl
Creates a new EmpiricalDistribution with the specified bin count.
end() - Method in class org.apache.commons.math.linear.DefaultFieldMatrixChangingVisitor
End visiting a matrix.
end() - Method in class org.apache.commons.math.linear.DefaultFieldMatrixPreservingVisitor
End visiting a matrix.
end() - Method in class org.apache.commons.math.linear.DefaultRealMatrixChangingVisitor
End visiting a matrix.
end() - Method in class org.apache.commons.math.linear.DefaultRealMatrixPreservingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math.linear.FieldMatrixChangingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math.linear.FieldMatrixPreservingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math.linear.RealMatrixChangingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math.linear.RealMatrixPreservingVisitor
End visiting a matrix.
epsilon - Variable in class org.apache.commons.math.optimization.linear.SimplexSolver
Amount of error to accept in floating point comparisons.
EPSILON - Static variable in class org.apache.commons.math.util.MathUtils
Smallest positive number such that 1 - EPSILON is not numerically equal to 1.
equals(Object) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
equals(Object) - Method in class org.apache.commons.math.complex.Complex
Test for the equality of two Complex objects.
equals(Object) - Method in class org.apache.commons.math.dfp.Dfp
Check if instance is equal to x.
equals(Object) - Method in class org.apache.commons.math.fraction.BigFraction
Test for the equality of two fractions.
equals(Object) - Method in class org.apache.commons.math.fraction.Fraction
Test for the equality of two fractions.
equals(Object) - Method in class org.apache.commons.math.geometry.Vector3D
Test for the equality of two 3D vectors.
equals(Object) - Method in class org.apache.commons.math.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.math.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.math.linear.ArrayFieldVector
Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math.linear.ArrayRealVector
Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns true iff object is a BigMatrixImpl instance with the same dimensions as this and all corresponding matrix entries are equal.
equals(Object) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Implementation Note: This performs an exact comparison, and as a result it is possible for a.subtract(b} to be the zero vector, while a.equals(b) == false.
equals(Object) - Method in class org.apache.commons.math.linear.SparseFieldVector
equals(Object) - Method in class org.apache.commons.math.optimization.linear.LinearConstraint
equals(Object) - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
equals(Object) - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
Returns true iff object is an AbstractStorelessUnivariateStatistic returning the same values as this for getResult() and getN()
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialMean
equals(Object) - Method in class org.apache.commons.math.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.math.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.math.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.math.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.math.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.math.stat.Frequency
equals(Object) - Method in class org.apache.commons.math.util.BigReal
equals(Object) - Method in class org.apache.commons.math.util.DefaultTransformer
equals(float, float) - Static method in class org.apache.commons.math.util.MathUtils
Deprecated. as of 2.2 his method considers that NaN == NaN. In release 3.0, the semantics will change in order to comply with IEEE754 where it is specified that NaN != NaN. New methods have been added for those cases wher the old semantics is useful (see e.g. equalsIncludingNaN.
equals(float, float, float) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are equal or within the range of allowed error (inclusive).
equals(float, float, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are equal or within the range of allowed error (inclusive).
equals(float[], float[]) - Static method in class org.apache.commons.math.util.MathUtils
Deprecated. as of 2.2 this method considers that NaN == NaN. In release 3.0, the semantics will change in order to comply with IEEE754 where it is specified that NaN != NaN. New methods have been added for those cases where the old semantics is useful (see e.g. equalsIncludingNaN.
equals(double, double) - Static method in class org.apache.commons.math.util.MathUtils
Returns true iff both arguments are NaN or neither is NaN and they are equal
equals(double, double, double) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are equal or within the range of allowed error (inclusive).
equals(double, double, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are equal or within the range of allowed error (inclusive).
equals(double[], double[]) - Static method in class org.apache.commons.math.util.MathUtils
Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by MathUtils.equals(double,double).
equals(Object) - Method in class org.apache.commons.math.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.math.util.TransformerMap
equalsIncludingNaN(float, float) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are NaN or neither is NaN and they are equal as defined by equals(x, y, 1).
equalsIncludingNaN(float, float, float) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are NaN or are equal or within the range of allowed error (inclusive).
equalsIncludingNaN(float, float, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are NaN or if they are equal as defined by equals(x, y, maxUlps).
equalsIncludingNaN(float[], float[]) - Static method in class org.apache.commons.math.util.MathUtils
Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by MathUtils.equalsIncludingNaN(float,float).
equalsIncludingNaN(double, double) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are NaN or neither is NaN and they are equal as defined by equals(x, y, 1).
equalsIncludingNaN(double, double, double) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are NaN or are equal or within the range of allowed error (inclusive).
equalsIncludingNaN(double, double, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are NaN or if they are equal as defined by equals(x, y, maxUlps.
equalsIncludingNaN(double[], double[]) - Static method in class org.apache.commons.math.util.MathUtils
Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by MathUtils.equalsIncludingNaN(double,double).
Erf - Class in org.apache.commons.math.special
This is a utility class that provides computation methods related to the error functions.
erf(double) - Static method in class org.apache.commons.math.special.Erf
Returns the error function
erfc(double) - Static method in class org.apache.commons.math.special.Erf
Returns the complementary error function
ERR_SCALE - Static variable in class org.apache.commons.math.dfp.Dfp
The amount under/overflows are scaled by before going to trap handler
estimate(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Solve an estimation problem.
estimate - Variable in class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Current value of the parameter
estimate(EstimationProblem) - Method in interface org.apache.commons.math.estimation.Estimator
Deprecated. Solve an estimation problem.
estimate(EstimationProblem) - Method in class org.apache.commons.math.estimation.GaussNewtonEstimator
Deprecated. Solve an estimation problem using a least squares criterion.
estimate(EstimationProblem) - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Solve an estimation problem using the Levenberg-Marquardt algorithm.
EstimatedParameter - Class in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
EstimatedParameter(String, double) - Constructor for class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Simple constructor.
EstimatedParameter(String, double, boolean) - Constructor for class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Simple constructor.
EstimatedParameter(EstimatedParameter) - Constructor for class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Copy constructor.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math.ode.nonstiff.HighamHall54Integrator
Compute the error ratio.
estimateErrorVariance() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Estimates the variance of the error.
estimateRegressandVariance() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Returns the variance of the regressand, ie Var(y).
estimateRegressandVariance() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression
Returns the variance of the regressand, ie Var(y).
estimateRegressionParameters() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Estimates the regression parameters b.
estimateRegressionParameters() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression
Estimates the regression parameters b.
estimateRegressionParametersStandardErrors() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Returns the standard errors of the regression parameters.
estimateRegressionParametersStandardErrors() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression
Returns the standard errors of the regression parameters.
estimateRegressionParametersVariance() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Estimates the variance of the regression parameters, ie Var(b).
estimateRegressionParametersVariance() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression
Estimates the variance of the regression parameters, ie Var(b).
estimateRegressionStandardError() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Estimates the standard error of the regression.
estimateResiduals() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Estimates the residuals, ie u = y - X*b.
estimateResiduals() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression
Estimates the residuals, ie u = y - X*b.
EstimationException - Exception in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
EstimationException(String, Object...) - Constructor for exception org.apache.commons.math.estimation.EstimationException
Deprecated. Simple constructor.
EstimationException(Localizable, Object...) - Constructor for exception org.apache.commons.math.estimation.EstimationException
Deprecated. Simple constructor.
EstimationProblem - Interface in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
Estimator - Interface in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
EuclideanIntegerPoint - Class in org.apache.commons.math.stat.clustering
A simple implementation of Clusterable for points with integer coordinates.
EuclideanIntegerPoint(int[]) - Constructor for class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
Build an instance wrapping an integer array.
EulerIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements a simple Euler integrator for Ordinary Differential Equations.
EulerIntegrator(double) - Constructor for class org.apache.commons.math.ode.nonstiff.EulerIntegrator
Simple constructor.
evaluate(double[], double) - Static method in class org.apache.commons.math.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.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Evaluate the Lagrange polynomial using Neville's Algorithm.
evaluate(double[], double[], double) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Evaluate the Newton polynomial using nested multiplication.
evaluate(double[]) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Evaluate the objective function on one point.
evaluate(double[]) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
This default implementation calls AbstractStorelessUnivariateStatistic.clear(), then invokes AbstractStorelessUnivariateStatistic.increment(double) in a loop over the the input array, and then uses AbstractStorelessUnivariateStatistic.getResult() to compute the return value.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
This default implementation calls AbstractStorelessUnivariateStatistic.clear(), then invokes AbstractStorelessUnivariateStatistic.increment(double) in a loop over the specified portion of the input array, and then uses AbstractStorelessUnivariateStatistic.getResult() to compute the return value.
evaluate() - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
Returns the result of evaluating the statistic over the stored data.
evaluate(double[]) - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
Returns the result of evaluating the statistic over the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
Returns the result of evaluating the statistic over the specified entries in the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math.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.math.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.math.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.math.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.math.stat.descriptive.moment.Mean
Returns the weighted arithmetic mean of the entries in the input array.
evaluate(double[]) - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance
This method calculates SemiVariance for the entire array against the mean, using instance properties varianceDirection and biasCorrection.
evaluate(double[], int, int) - Method in class org.apache.commons.math.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.math.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.math.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.math.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.math.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.math.stat.descriptive.moment.Skewness
Returns the Skewness of the entries in the specifed portion of the input array.
evaluate(double[]) - Method in class org.apache.commons.math.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.math.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.math.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.math.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.math.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.math.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.math.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.math.stat.descriptive.moment.Variance
Returns the weighted variance of the entries in the the input array.
evaluate(double[], double, int, int) - Method in class org.apache.commons.math.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.math.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.math.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.math.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.math.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.math.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) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Returns the result of evaluating the statistic over the stored data.
evaluate(double[], double) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Returns an estimate of the pth percentile of the values in the values array.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Returns an estimate of the quantileth percentile of the designated values in the values array.
evaluate(double[], int, int, double) - Method in class org.apache.commons.math.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[], int, int) - Method in class org.apache.commons.math.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.math.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.math.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.math.stat.descriptive.summary.Sum
The sum 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.math.stat.descriptive.summary.Sum
The weighted sum 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.math.stat.descriptive.summary.Sum
The weighted sum of the entries in the the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math.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.math.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.math.stat.descriptive.UnivariateStatistic
Returns the result of evaluating the statistic over the input array.
evaluate(double[], int, int) - Method in interface org.apache.commons.math.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.math.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.math.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 class org.apache.commons.math.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double, double) - Method in class org.apache.commons.math.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double, int) - Method in class org.apache.commons.math.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double, double, int) - Method in class org.apache.commons.math.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluateSimplex(Comparator<RealPointValuePair>) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Evaluate all the non-evaluated points of the simplex.
evaluateStep(StepInterpolator) - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Deprecated. Evaluate the impact of the proposed step on all managed event handlers.
evaluateStep(StepInterpolator) - Method in class org.apache.commons.math.ode.events.EventState
Evaluate the impact of the proposed step on the event handler.
EventException - Exception in org.apache.commons.math.ode.events
This exception is made available to users to report the error conditions that are triggered by EventHandler
EventException(String, Object...) - Constructor for exception org.apache.commons.math.ode.events.EventException
Deprecated. as of 2.2 replaced by EventException.EventException(Localizable, Object...)
EventException(Localizable, Object...) - Constructor for exception org.apache.commons.math.ode.events.EventException
Simple constructor.
EventException(Throwable) - Constructor for exception org.apache.commons.math.ode.events.EventException
Create an exception with a given root cause.
EventHandler - Interface in org.apache.commons.math.ode.events
This interface represents a handler for discrete events triggered during ODE integration.
EventHandlerWithJacobians - Interface in org.apache.commons.math.ode.jacobians
Deprecated. as of 2.2 the complete package is deprecated, it will be replaced in 3.0 by a completely rewritten implementation
eventOccurred(double, double[], boolean) - Method in interface org.apache.commons.math.ode.events.EventHandler
Handle an event and choose what to do next.
eventOccurred(double, double[], double[][], double[][], boolean) - Method in interface org.apache.commons.math.ode.jacobians.EventHandlerWithJacobians
Deprecated. Handle an event and choose what to do next.
EventState - Class in org.apache.commons.math.ode.events
This class handles the state for one event handler during integration steps.
EventState(EventHandler, double, double, int) - Constructor for class org.apache.commons.math.ode.events.EventState
Simple constructor.
evolve(Population, StoppingCondition) - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Evolve the given population.
EXP - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.exp method wrapped as a ComposableFunction.
exp() - Method in class org.apache.commons.math.complex.Complex
Compute the exponential function of this complex number.
exp - Variable in class org.apache.commons.math.dfp.Dfp
Exponent.
exp(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath
Computes e to the given power.
exp(double) - Static method in class org.apache.commons.math.util.FastMath
Exponential function.
expand() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Expands the internal storage array using the expansion factor.
expansionFactor - Variable in class org.apache.commons.math.util.ResizableDoubleArray
The expansion factor of the array.
expansionMode - Variable in class org.apache.commons.math.util.ResizableDoubleArray
Determines whether array expansion by expansionFactor is additive or multiplicative.
expInternal(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath
Computes e to the given power.
EXPM1 - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.expm1 method wrapped as a ComposableFunction.
expm1(double) - Static method in class org.apache.commons.math.util.FastMath
Compute exp(x) - 1
EXPONENTIAL_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Exponential random deviates with mean = μ.
ExponentialDistribution - Interface in org.apache.commons.math.distribution
The Exponential Distribution.
ExponentialDistributionImpl - Class in org.apache.commons.math.distribution
The default implementation of ExponentialDistribution.
ExponentialDistributionImpl(double) - Constructor for class org.apache.commons.math.distribution.ExponentialDistributionImpl
Create a exponential distribution with the given mean.
ExponentialDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.ExponentialDistributionImpl
Create a exponential distribution with the given mean.
ExtendedFirstOrderDifferentialEquations - Interface in org.apache.commons.math.ode
This interface represents a first order differential equations set with a main set of equations and an extension set.
extractField(T[][]) - Static method in class org.apache.commons.math.linear.AbstractFieldMatrix
Get the elements type from an array.
extractField(T[]) - Static method in class org.apache.commons.math.linear.AbstractFieldMatrix
Get the elements type from an array.

F

f - Variable in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Deprecated. as of 2.0 the integrand function is passed as an argument to the UnivariateRealIntegrator.integrate(UnivariateRealFunction, double, double)method.
f - Variable in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Deprecated. as of 2.0 the function to solve is passed as an argument to the UnivariateRealSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.
factorial(int) - Static method in class org.apache.commons.math.util.MathUtils
Returns n!.
factorialDouble(int) - Static method in class org.apache.commons.math.util.MathUtils
Returns n!.
factorialLog(int) - Static method in class org.apache.commons.math.util.MathUtils
Returns the natural logarithm of n!.
FastCosineTransformer - Class in org.apache.commons.math.transform
Implements the Fast Cosine Transform for transformation of one-dimensional data sets.
FastCosineTransformer() - Constructor for class org.apache.commons.math.transform.FastCosineTransformer
Construct a default transformer.
FastFourierTransformer - Class in org.apache.commons.math.transform
Implements the Fast Fourier Transform for transformation of one-dimensional data sets.
FastFourierTransformer() - Constructor for class org.apache.commons.math.transform.FastFourierTransformer
Construct a default transformer.
FastHadamardTransformer - Class in org.apache.commons.math.transform
Implements the Fast Hadamard Transform (FHT).
FastHadamardTransformer() - Constructor for class org.apache.commons.math.transform.FastHadamardTransformer
 
FastMath - Class in org.apache.commons.math.util
Faster, more accurate, portable alternative to StrictMath.
FastSineTransformer - Class in org.apache.commons.math.transform
Implements the Fast Sine Transform for transformation of one-dimensional data sets.
FastSineTransformer() - Constructor for class org.apache.commons.math.transform.FastSineTransformer
Construct a default transformer.
fct(double[]) - Method in class org.apache.commons.math.transform.FastCosineTransformer
Perform the FCT algorithm (including inverse).
FDistribution - Interface in org.apache.commons.math.distribution
F-Distribution.
FDistributionImpl - Class in org.apache.commons.math.distribution
Default implementation of FDistribution.
FDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.FDistributionImpl
Create a F distribution using the given degrees of freedom.
FDistributionImpl(double, double, double) - Constructor for class org.apache.commons.math.distribution.FDistributionImpl
Create a F distribution using the given degrees of freedom and inverse cumulative probability accuracy.
fft(double[], boolean) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Perform the base-4 Cooley-Tukey FFT algorithm (including inverse).
fft(Complex[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Perform the base-4 Cooley-Tukey FFT algorithm (including inverse).
fht(double[]) - Method in class org.apache.commons.math.transform.FastHadamardTransformer
The FHT (Fast Hadamard Transformation) which uses only subtraction and addition.
fht(int[]) - Method in class org.apache.commons.math.transform.FastHadamardTransformer
The FHT (Fast Hadamard Transformation) which uses only subtraction and addition.
Field<T> - Interface in org.apache.commons.math
Interface representing a field.
FieldDecompositionSolver<T extends FieldElement<T>> - Interface in org.apache.commons.math.linear
Interface handling decomposition algorithms that can solve A × X = B.
FieldElement<T> - Interface in org.apache.commons.math
Interface representing field elements.
FieldLUDecomposition<T extends FieldElement<T>> - Interface in org.apache.commons.math.linear
An interface to classes that implement an algorithm to calculate the LU-decomposition of a real matrix.
FieldLUDecompositionImpl<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
Calculates the LUP-decomposition of a square matrix.
FieldLUDecompositionImpl(FieldMatrix<T>) - Constructor for class org.apache.commons.math.linear.FieldLUDecompositionImpl
Calculates the LU-decomposition of the given matrix.
FieldMatrix<T extends FieldElement<T>> - Interface in org.apache.commons.math.linear
Interface defining field-valued matrix with basic algebraic operations.
FieldMatrixChangingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math.linear
Interface defining a visitor for matrix entries.
FieldMatrixPreservingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math.linear
Interface defining a visitor for matrix entries.
FieldVector<T extends FieldElement<T>> - Interface in org.apache.commons.math.linear
Interface defining a field-valued vector with basic algebraic operations.
fill(double[]) - Method in class org.apache.commons.math.random.ValueServer
Fills the input array with values generated using getNext() repeatedly.
fill(int) - Method in class org.apache.commons.math.random.ValueServer
Returns an array of length length with values generated using getNext() repeatedly.
filterStep(double, boolean, boolean) - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Filter the integration step.
finalizeStep() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Finalize the step.
findSameChromosome(Population) - Method in class org.apache.commons.math.genetics.Chromosome
Searches the population for another chromosome with the same representation.
FINITE - Static variable in class org.apache.commons.math.dfp.Dfp
Indicator value for normal finite numbers.
FirstMoment - Class in org.apache.commons.math.stat.descriptive.moment
Computes the first moment (arithmetic mean).
FirstMoment() - Constructor for class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Create a FirstMoment instance
FirstMoment(FirstMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Copy constructor, creates a new FirstMoment identical to the original
FirstOrderConverter - Class in org.apache.commons.math.ode
This class converts second order differential equations to first order ones.
FirstOrderConverter(SecondOrderDifferentialEquations) - Constructor for class org.apache.commons.math.ode.FirstOrderConverter
Simple constructor.
FirstOrderDifferentialEquations - Interface in org.apache.commons.math.ode
This interface represents a first order differential equations set.
FirstOrderIntegrator - Interface in org.apache.commons.math.ode
This interface represents a first order integrator for differential equations.
FirstOrderIntegratorWithJacobians - Class in org.apache.commons.math.ode.jacobians
Deprecated. as of 2.2 the complete package is deprecated, it will be replaced in 3.0 by a completely rewritten implementation
FirstOrderIntegratorWithJacobians(FirstOrderIntegrator, ParameterizedODE, double[], double[], double[]) - Constructor for class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Build an enhanced integrator using internal differentiation to compute jacobians.
FirstOrderIntegratorWithJacobians(FirstOrderIntegrator, ODEWithJacobians) - Constructor for class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Build an enhanced integrator using ODE builtin jacobian computation features.
fit(ParametricRealFunction, double[]) - Method in class org.apache.commons.math.optimization.fitting.CurveFitter
Fit a curve.
fit() - Method in class org.apache.commons.math.optimization.fitting.GaussianFitter
Fits Gaussian function to the observed points.
fit() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFitter
Fit an harmonic function to the observed points.
fit() - Method in class org.apache.commons.math.optimization.fitting.PolynomialFitter
Get the polynomial fitting the weighted (x, y) points.
Fitness - Interface in org.apache.commons.math.genetics
Fitness of a chromosome.
fitness() - Method in interface org.apache.commons.math.genetics.Fitness
Compute the fitness.
fix1stArgument(double) - Method in class org.apache.commons.math.analysis.BinaryFunction
Deprecated. Get a composable function by fixing the first argument of the instance.
fix2ndArgument(double) - Method in class org.apache.commons.math.analysis.BinaryFunction
Deprecated. Get a composable function by fixing the second argument of the instance.
FixedGenerationCount - Class in org.apache.commons.math.genetics
Stops after a fixed number of generations.
FixedGenerationCount(int) - Constructor for class org.apache.commons.math.genetics.FixedGenerationCount
Create a new FixedGenerationCount instance.
FixedStepHandler - Interface in org.apache.commons.math.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.math.dfp.DfpField
IEEE 854-1987 flag for division by zero.
FLAG_INEXACT - Static variable in class org.apache.commons.math.dfp.DfpField
IEEE 854-1987 flag for inexact result.
FLAG_INVALID - Static variable in class org.apache.commons.math.dfp.DfpField
IEEE 854-1987 flag for invalid operation.
FLAG_OVERFLOW - Static variable in class org.apache.commons.math.dfp.DfpField
IEEE 854-1987 flag for overflow.
FLAG_UNDERFLOW - Static variable in class org.apache.commons.math.dfp.DfpField
IEEE 854-1987 flag for underflow.
flatten(Object[]) - Static method in class org.apache.commons.math.exception.util.ArgUtils
Transform a multidimensional array into a one-dimensional list.
floatValue() - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction as a float.
floatValue() - Method in class org.apache.commons.math.fraction.Fraction
Gets the fraction as a float.
FLOOR - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.floor method wrapped as a ComposableFunction.
floor() - Method in class org.apache.commons.math.dfp.Dfp
Round to an integer using the round floor mode.
floor(double) - Static method in class org.apache.commons.math.util.FastMath
Get the largest whole number smaller than x.
format(Complex, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.complex.ComplexFormat
Formats a Complex object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.complex.ComplexFormat
Formats a object to produce a string.
format(double, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.AbstractFormat
Formats a double value as a fraction and appends the result to a StringBuffer.
format(long, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.AbstractFormat
Formats a long value as a fraction and appends the result to a StringBuffer.
format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.BigFractionFormat
Formats a BigFraction object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.BigFractionFormat
Formats an object and appends the result to a StringBuffer.
format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.FractionFormat
Formats a Fraction object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.FractionFormat
Formats an object and appends the result to a StringBuffer.
format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.ProperBigFractionFormat
Formats a BigFraction object to produce a string.
format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.ProperFractionFormat
Formats a Fraction object to produce a string.
format(Vector3D, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.geometry.Vector3DFormat
Formats a Vector3D object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.geometry.Vector3DFormat
Formats a object to produce a string.
format(RealVector, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.linear.RealVectorFormat
Formats a RealVector object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.linear.RealVectorFormat
Formats a object to produce a string.
formatBigFraction(BigFraction) - Static method in class org.apache.commons.math.fraction.BigFractionFormat
This static method calls formatBigFraction() on a default instance of BigFractionFormat.
formatComplex(Complex) - Static method in class org.apache.commons.math.complex.ComplexFormat
This static method calls Format.format(Object) on a default instance of ComplexFormat.
formatDouble(double, NumberFormat, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.util.CompositeFormat
Formats a double value to produce a string.
formatFraction(Fraction) - Static method in class org.apache.commons.math.fraction.FractionFormat
This static method calls formatFraction() on a default instance of FractionFormat.
formatRealVector(RealVector) - Static method in class org.apache.commons.math.linear.RealVectorFormat
This static method calls Format.format(Object) on a default instance of RealVectorFormat.
formatVector3D(Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3DFormat
This static method calls Format.format(Object) on a default instance of Vector3DFormat.
FOUR_FIFTHS - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "4/5".
FOUR_FIFTHS - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "4/5".
FourthMoment - Class in org.apache.commons.math.stat.descriptive.moment
Computes a statistic related to the Fourth Central Moment.
FourthMoment() - Constructor for class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Create a FourthMoment instance
FourthMoment(FourthMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Copy constructor, creates a new FourthMoment identical to the original
Fraction - Class in org.apache.commons.math.fraction
Representation of a rational number.
Fraction(double) - Constructor for class org.apache.commons.math.fraction.Fraction
Create a fraction given the double value.
Fraction(double, double, int) - Constructor for class org.apache.commons.math.fraction.Fraction
Create a fraction given the double value and maximum error allowed.
Fraction(double, int) - Constructor for class org.apache.commons.math.fraction.Fraction
Create a fraction given the double value and maximum denominator.
Fraction(int) - Constructor for class org.apache.commons.math.fraction.Fraction
Create a fraction from an int.
Fraction(int, int) - Constructor for class org.apache.commons.math.fraction.Fraction
Create a fraction given the numerator and denominator.
FractionConversionException - Exception in org.apache.commons.math.fraction
Error thrown when a double value cannot be converted to a fraction in the allowed number of iterations.
FractionConversionException(double, int) - Constructor for exception org.apache.commons.math.fraction.FractionConversionException
Constructs an exception with specified formatted detail message.
FractionConversionException(double, long, long) - Constructor for exception org.apache.commons.math.fraction.FractionConversionException
Constructs an exception with specified formatted detail message.
FractionField - Class in org.apache.commons.math.fraction
Representation of the fractional numbers field.
FractionFormat - Class in org.apache.commons.math.fraction
Formats a Fraction number in proper format or improper format.
FractionFormat() - Constructor for class org.apache.commons.math.fraction.FractionFormat
Create an improper formatting instance with the default number format for the numerator and denominator.
FractionFormat(NumberFormat) - Constructor for class org.apache.commons.math.fraction.FractionFormat
Create an improper formatting instance with a custom number format for both the numerator and denominator.
FractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.fraction.FractionFormat
Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
fractionMatrixToRealMatrix(FieldMatrix<Fraction>) - Static method in class org.apache.commons.math.linear.MatrixUtils
Convert a FieldMatrix/Fraction matrix to a RealMatrix.
FREE - Static variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Status indicator for free table entries.
FREE - Static variable in class org.apache.commons.math.util.OpenIntToFieldHashMap
Status indicator for free table entries.
Frequency - Class in org.apache.commons.math.stat
Maintains a frequency distribution.
Frequency() - Constructor for class org.apache.commons.math.stat.Frequency
Default constructor.
Frequency(Comparator<?>) - Constructor for class org.apache.commons.math.stat.Frequency
Constructor allowing values Comparator to be specified.
fst(double[]) - Method in class org.apache.commons.math.transform.FastSineTransformer
Perform the FST algorithm (including inverse).
FULL - Static variable in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Status indicator for full table entries.
FULL - Static variable in class org.apache.commons.math.util.OpenIntToFieldHashMap
Status indicator for full table entries.
function - Variable in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Linear objective function.
FunctionEvaluationException - Exception in org.apache.commons.math
Exception thrown when an error occurs evaluating a function.
FunctionEvaluationException(double) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Construct an exception indicating the argument value that caused the function evaluation to fail.
FunctionEvaluationException(double[]) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Construct an exception indicating the argument value that caused the function evaluation to fail.
FunctionEvaluationException(double, String, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message.
FunctionEvaluationException(double, Localizable, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message.
FunctionEvaluationException(double[], String, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message.
FunctionEvaluationException(double[], Localizable, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message.
FunctionEvaluationException(Throwable, double) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified root cause.
FunctionEvaluationException(Throwable, double[]) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified root cause.
FunctionEvaluationException(Throwable, double, String, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message and root cause.
FunctionEvaluationException(Throwable, double, Localizable, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message and root cause.
FunctionEvaluationException(Throwable, double[], String, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message and root cause.
FunctionEvaluationException(Throwable, double[], Localizable, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message and root cause.
functionValue - Variable in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Deprecated. Value of the function at the last computed result.
functionValue - Variable in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Value of the function at the last computed result.
functionValueAccuracy - Variable in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Deprecated. Maximum error of function.

G

g(double, double[]) - Method in interface org.apache.commons.math.ode.events.EventHandler
Compute the value of the switching function.
g(double, double[], double[][], double[][]) - Method in interface org.apache.commons.math.ode.jacobians.EventHandlerWithJacobians
Deprecated. Compute the value of the switching function.
Gamma - Class in org.apache.commons.math.special
This is a utility class that provides computation methods related to the Gamma family of functions.
GAMMA - Static variable in class org.apache.commons.math.special.Gamma
Euler-Mascheroni constant
GammaDistribution - Interface in org.apache.commons.math.distribution
The Gamma Distribution.
GammaDistributionImpl - Class in org.apache.commons.math.distribution
The default implementation of GammaDistribution.
GammaDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.GammaDistributionImpl
Create a new gamma distribution with the given alpha and beta values.
GammaDistributionImpl(double, double, double) - Constructor for class org.apache.commons.math.distribution.GammaDistributionImpl
Create a new gamma distribution with the given alpha and beta values.
GAUSSIAN_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Gaussian random deviates with mean = μ, std dev = σ.
GaussianDerivativeFunction - Class in org.apache.commons.math.optimization.fitting
The derivative of GaussianFunction.
GaussianDerivativeFunction(double, double, double) - Constructor for class org.apache.commons.math.optimization.fitting.GaussianDerivativeFunction
Constructs an instance with the specified parameters.
GaussianDerivativeFunction(double[]) - Constructor for class org.apache.commons.math.optimization.fitting.GaussianDerivativeFunction
Constructs an instance with the specified parameters.
GaussianFitter - Class in org.apache.commons.math.optimization.fitting
Fits points to a Gaussian function (that is, a GaussianFunction).
GaussianFitter(DifferentiableMultivariateVectorialOptimizer) - Constructor for class org.apache.commons.math.optimization.fitting.GaussianFitter
Constructs an instance using the specified optimizer.
GaussianFunction - Class in org.apache.commons.math.optimization.fitting
A Gaussian function.
GaussianFunction(double, double, double, double) - Constructor for class org.apache.commons.math.optimization.fitting.GaussianFunction
Constructs an instance with the specified parameters.
GaussianFunction(double[]) - Constructor for class org.apache.commons.math.optimization.fitting.GaussianFunction
Constructs an instance with the specified parameters.
GaussianParametersGuesser - Class in org.apache.commons.math.optimization.fitting
Guesses the parameters (a, b, c, and d) of a ParametricGaussianFunction based on the specified observed points.
GaussianParametersGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math.optimization.fitting.GaussianParametersGuesser
Constructs instance with the specified observed points.
GaussianRandomGenerator - Class in org.apache.commons.math.random
This class is a gaussian normalized random generator for scalars.
GaussianRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math.random.GaussianRandomGenerator
Create a new generator.
GaussNewtonEstimator - Class in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
GaussNewtonEstimator() - Constructor for class org.apache.commons.math.estimation.GaussNewtonEstimator
Deprecated. Simple constructor with default settings.
GaussNewtonEstimator(int, double, double) - Constructor for class org.apache.commons.math.estimation.GaussNewtonEstimator
Deprecated. Simple constructor.
GaussNewtonOptimizer - Class in org.apache.commons.math.optimization.general
Gauss-Newton least-squares solver.
GaussNewtonOptimizer(boolean) - Constructor for class org.apache.commons.math.optimization.general.GaussNewtonOptimizer
Simple constructor with default settings.
gcd(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Gets the greatest common divisor of the absolute value of two numbers, using the "binary gcd" method which avoids division and modulo operations.
gcd(long, long) - Static method in class org.apache.commons.math.util.MathUtils
Gets the greatest common divisor of the absolute value of two numbers, using the "binary gcd" method which avoids division and modulo operations.
GeneticAlgorithm - Class in org.apache.commons.math.genetics
Implementation of a genetic algorithm.
GeneticAlgorithm(CrossoverPolicy, double, MutationPolicy, double, SelectionPolicy) - Constructor for class org.apache.commons.math.genetics.GeneticAlgorithm
 
geoMean - Variable in class org.apache.commons.math.stat.descriptive.SummaryStatistics
geoMean of values that have been added
GeometricMean - Class in org.apache.commons.math.stat.descriptive.moment
Returns the geometric mean of the available values.
GeometricMean() - Constructor for class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Create a GeometricMean instance
GeometricMean(GeometricMean) - Constructor for class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Copy constructor, creates a new GeometricMean identical to the original
GeometricMean(SumOfLogs) - Constructor for class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Create a GeometricMean instance using the given SumOfLogs instance
geometricMean(double[]) - Static method in class org.apache.commons.math.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.math.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) - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Get the stored value associated with the given key
get(int) - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Get the stored value associated with the given key
getA() - Method in class org.apache.commons.math.optimization.fitting.GaussianFunction
Gets a parameter value.
getA(int, double) - Method in class org.apache.commons.math.util.ContinuedFraction
Access the n-th a coefficient of the continued fraction.
getA1() - Method in class org.apache.commons.math.geometry.RotationOrder
Get the axis of the first rotation.
getA2() - Method in class org.apache.commons.math.geometry.RotationOrder
Get the axis of the second rotation.
getA3() - Method in class org.apache.commons.math.geometry.RotationOrder
Get the axis of the second rotation.
getAbsoluteAccuracy() - Method in interface org.apache.commons.math.ConvergingAlgorithm
Deprecated. Get the actual absolute accuracy.
getAbsoluteAccuracy() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. Get the actual absolute accuracy.
getAbsoluteAccuracy() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the actual absolute accuracy.
getAllParameters() - Method in interface org.apache.commons.math.estimation.EstimationProblem
Deprecated. Get all the parameters of the problem.
getAllParameters() - Method in class org.apache.commons.math.estimation.SimpleEstimationProblem
Deprecated. Get all the parameters of the problem.
getAlpha() - Method in interface org.apache.commons.math.distribution.BetaDistribution
Access the shape parameter, alpha
getAlpha() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Access the shape parameter, alpha
getAlpha() - Method in interface org.apache.commons.math.distribution.GammaDistribution
Access the shape parameter, alpha
getAlpha() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Access the shape parameter, alpha
getAlpha() - Method in class org.apache.commons.math.geometry.Vector3D
Get the azimuth of the vector.
getAmplitude() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFunction
Get the amplitude a.
getAngle() - Method in class org.apache.commons.math.geometry.Rotation
Get the angle of the rotation.
getAngles(RotationOrder) - Method in class org.apache.commons.math.geometry.Rotation
Get the Cardan or Euler angles corresponding to the instance.
getArgument() - Method in class org.apache.commons.math.complex.Complex
Compute the argument of this complex number.
getArgument() - Method in exception org.apache.commons.math.exception.MathIllegalNumberException
 
getArgument() - Method in exception org.apache.commons.math.FunctionEvaluationException
Returns the function argument that caused this exception.
getArguments() - Method in exception org.apache.commons.math.exception.MathIllegalArgumentException
Gets the arguments used to build the message of this throwable.
getArguments() - Method in exception org.apache.commons.math.exception.MathIllegalStateException
Gets the arguments used to build the message of this throwable.
getArguments() - Method in interface org.apache.commons.math.exception.MathThrowable
Gets the arguments used to build the message of this throwable.
getArguments() - Method in exception org.apache.commons.math.exception.MathUnsupportedOperationException
Gets the arguments used to build the message of this throwable.
getArguments() - Method in exception org.apache.commons.math.MathException
Gets the arguments used to build the message of this throwable.
getArguments() - Method in exception org.apache.commons.math.MathRuntimeException
Gets the arguments used to build the message of this throwable.
getArity() - Method in class org.apache.commons.math.genetics.TournamentSelection
Gets the arity (number of chromosomes drawn to the tournament).
getAvailableLocales() - Static method in class org.apache.commons.math.complex.ComplexFormat
Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math.fraction.BigFractionFormat
Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math.fraction.FractionFormat
Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math.geometry.Vector3DFormat
Get the set of locales for which 3D vectors formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math.linear.RealVectorFormat
Get the set of locales for which real vectors formats are available.
getAxis() - Method in class org.apache.commons.math.geometry.Rotation
Get the normalized axis of the rotation.
getB() - Method in class org.apache.commons.math.optimization.fitting.GaussianFunction
Gets b parameter value.
getB(int, double) - Method in class org.apache.commons.math.util.ContinuedFraction
Access the n-th b coefficient of the continued fraction.
getBeta() - Method in interface org.apache.commons.math.distribution.BetaDistribution
Access the shape parameter, beta
getBeta() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Access the shape parameter, beta
getBeta() - Method in interface org.apache.commons.math.distribution.GammaDistribution
Access the scale parameter, beta
getBeta() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Access the scale parameter, beta
getBinCount() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Returns the number of bins.
getBinCount() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Returns the number of bins.
getBinStats() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Returns a list of SummaryStatistics containing statistics describing the values in each of the bins.
getBinStats() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Returns a List of SummaryStatistics instances containing statistics describing the values in each of the bins.
getBoundIsAllowed() - Method in exception org.apache.commons.math.exception.NumberIsTooLargeException
 
getBoundIsAllowed() - Method in exception org.apache.commons.math.exception.NumberIsTooSmallException
 
getC() - Method in class org.apache.commons.math.optimization.fitting.GaussianFunction
Gets c parameter value.
getCenter() - Method in class org.apache.commons.math.stat.clustering.Cluster
Get the point chosen to be the center of this cluster.
getCenters() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Returns a copy of the centers array.
getChiSquare(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Get the Chi-Square value.
getChiSquare() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get a Chi-Square-like value assuming the N residuals follow N distinct normal distributions centered on 0 and whose variances are the reciprocal of the weights.
getChiSquareTest() - Static method in class org.apache.commons.math.stat.inference.TestUtils
Deprecated. 2.2 will be removed in 3.0
getChromosomes() - Method in class org.apache.commons.math.genetics.ListPopulation
Access the list of chromosomes.
getCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math.optimization.linear.LinearConstraint
Get the coefficients of the constraint (left hand side).
getCoefficients() - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
Get the coefficients of the linear equation being optimized.
getColumn(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entries in column number col as an array.
getColumn(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entries in column number col as an array.
getColumn(int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entries in column number col as an array.
getColumn(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in column number col as an array.
getColumnAsDoubleArray(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entries in column number col as an array of double values.
getColumnAsDoubleArray(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entries in column number col as an array of double values.
getColumnDimension() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in interface org.apache.commons.math.linear.AnyMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Returns the number of columns in the matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in column number column as a column matrix.
getColumnVector(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in column number column as a vector.
getConditionNumber() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Return the condition number of the matrix.
getConditionNumber() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Return the condition number of the matrix.
getConstantTerm() - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
Get the constant of the linear equation being optimized.
getContractionCriteria() - Method in class org.apache.commons.math.util.ResizableDoubleArray
The contraction criteria defines when the internal array will contract to store only the number of elements in the element array.
getConvergence() - Method in class org.apache.commons.math.ode.events.EventState
Get the convergence threshold for event localization.
getConvergenceChecker() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Get the convergence checker.
getCorrelationMatrix() - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Returns the correlation matrix
getCorrelationMatrix() - Method in class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Calculate the Spearman Rank Correlation Matrix.
getCorrelationPValues() - Method in class org.apache.commons.math.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.math.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)
getCostEvaluations() - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Get the number of cost evaluations.
getCount(Object) - Method in class org.apache.commons.math.stat.Frequency
Deprecated. replaced by Frequency.getCount(Comparable) as of 2.0
getCount(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency
Returns the number of values = v.
getCount(int) - Method in class org.apache.commons.math.stat.Frequency
Returns the number of values = v.
getCount(long) - Method in class org.apache.commons.math.stat.Frequency
Returns the number of values = v.
getCount(char) - Method in class org.apache.commons.math.stat.Frequency
Returns the number of values = v.
getCount(int...) - Method in class org.apache.commons.math.util.MultidimensionalCounter
Convert to unidimensional counter.
getCount() - Method in class org.apache.commons.math.util.MultidimensionalCounter.Iterator
Get the current unidimensional counter slot.
getCount(int) - Method in class org.apache.commons.math.util.MultidimensionalCounter.Iterator
Get the current count in the selected dimension.
getCounts(int) - Method in class org.apache.commons.math.util.MultidimensionalCounter
Convert to multidimensional counter.
getCounts() - Method in class org.apache.commons.math.util.MultidimensionalCounter.Iterator
Get the current multidimensional counter slots.
getCovariance(double) - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the n × n covariance matrix.
getCovariance(double) - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the n × n covariance matrix.
getCovariance() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the covariance matrix of the values that have been added.
getCovariance() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns the covariance of the available values.
getCovariance() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the covariance matrix of the values that have been added.
getCovarianceMatrix() - Method in class org.apache.commons.math.stat.correlation.Covariance
Returns the covariance matrix
getCovariances(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Get the covariance matrix of unbound estimated parameters.
getCovariances(EstimationProblem) - Method in interface org.apache.commons.math.estimation.Estimator
Deprecated. Get the covariance matrix of estimated parameters.
getCovariances() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the covariance matrix of optimized parameters.
getCrossoverPolicy() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the crossover policy.
getCrossoverRate() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the crossover rate.
getCumFreq(Object) - Method in class org.apache.commons.math.stat.Frequency
Deprecated. replaced by Frequency.getCumFreq(Comparable) as of 2.0
getCumFreq(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative frequency of values less than or equal to v.
getCumFreq(int) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative frequency of values less than or equal to v.
getCumFreq(long) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative frequency of values less than or equal to v.
getCumFreq(char) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative frequency of values less than or equal to v.
getCumPct(Object) - Method in class org.apache.commons.math.stat.Frequency
Deprecated. replaced by Frequency.getCumPct(Comparable) as of 2.0
getCumPct(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCumPct(int) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCumPct(long) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCumPct(char) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCurrentSignedStepsize() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get the current signed value of the integration stepsize.
getCurrentSignedStepsize() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Get the current signed value of the integration stepsize.
getCurrentSignedStepsize() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get the current signed value of the integration stepsize.
getCurrentStepStart() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get the current value of the step start time ti.
getCurrentStepStart() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Get the current value of the step start time ti.
getCurrentStepStart() - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Get the current value of the step start time ti.
getCurrentStepStart() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get the current value of the step start time ti.
getCurrentTime() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Get the current grid point time.
getCurrentTime() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Get the current soft grid point time.
getCurrentTime() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Get the current grid point time.
getD() - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns the block diagonal matrix D of the decomposition.
getD() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns the block diagonal matrix D of the decomposition.
getD() - Method in class org.apache.commons.math.optimization.fitting.GaussianFunction
Gets d parameter value.
getData() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.AbstractRealVector
Returns vector entries as a double array.
getData() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Returns vector entries as a T array.
getData() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns vector entries as a double array.
getData() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in interface org.apache.commons.math.linear.FieldVector
Returns vector entries as a T array.
getData() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Returns vector entries as a double array.
getData() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns matrix entries as a two-dimensional array.
getData() - Method in interface org.apache.commons.math.linear.RealVector
Returns vector entries as a double array.
getData() - Method in class org.apache.commons.math.linear.SparseFieldVector
Returns vector entries as a T array.
getData() - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
Get a copy of the stored data array.
getDataAsDoubleArray() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns matrix entries as a two-dimensional array.
getDataAsDoubleArray() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns matrix entries as a two-dimensional array.
getDataRef() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
Get a reference to the stored data array.
getDecimalDigits() - Method in class org.apache.commons.math.dfp.DfpDec
Get the number of decimal digits this class is going to represent.
getDefaultNumberFormat() - Static method in class org.apache.commons.math.fraction.AbstractFormat
Create a default number format.
getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math.fraction.AbstractFormat
Create a default number format.
getDefaultNumberFormat() - Static method in class org.apache.commons.math.fraction.FractionFormat
Create a default number format.
getDefaultNumberFormat() - Static method in class org.apache.commons.math.util.CompositeFormat
Create a default number format.
getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math.util.CompositeFormat
Create a default number format.
getDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.ChiSquaredDistribution
Access the degrees of freedom.
getDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Access the degrees of freedom.
getDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.TDistribution
Access the degrees of freedom.
getDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.TDistributionImpl
Access the degrees of freedom.
getDelta() - Method in class org.apache.commons.math.geometry.Vector3D
Get the elevation of the vector.
getDenominator() - Method in class org.apache.commons.math.fraction.BigFraction
Access the denominator as a BigInteger.
getDenominator() - Method in class org.apache.commons.math.fraction.Fraction
Access the denominator.
getDenominatorAsInt() - Method in class org.apache.commons.math.fraction.BigFraction
Access the denominator as a int.
getDenominatorAsLong() - Method in class org.apache.commons.math.fraction.BigFraction
Access the denominator as a long.
getDenominatorDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.FDistribution
Access the denominator degrees of freedom.
getDenominatorDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.FDistributionImpl
Access the denominator degrees of freedom.
getDenominatorFormat() - Method in class org.apache.commons.math.fraction.AbstractFormat
Access the denominator format.
getDeterminant() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Deprecated. 
getDeterminant() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the determinant of this matrix.
getDeterminant() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the determinant of this matrix.
getDeterminant() - Method in interface org.apache.commons.math.linear.CholeskyDecomposition
Return the determinant of the matrix
getDeterminant() - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Return the determinant of the matrix
getDeterminant() - Method in interface org.apache.commons.math.linear.EigenDecomposition
Return the determinant of the matrix
getDeterminant() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Return the determinant of the matrix
getDeterminant() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition
Return the determinant of the matrix
getDeterminant() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Return the determinant of the matrix
getDeterminant() - Method in interface org.apache.commons.math.linear.LUDecomposition
Return the determinant of the matrix
getDeterminant() - Method in class org.apache.commons.math.linear.LUDecompositionImpl
Return the determinant of the matrix
getDeterminant() - Method in interface org.apache.commons.math.linear.RealMatrix
Deprecated. as of release 2.0, replaced by new LUDecompositionImpl(m).getDeterminant()
getDimension() - Method in exception org.apache.commons.math.exception.DimensionMismatchException
 
getDimension() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns the size of the vector.
getDimension() - Method in interface org.apache.commons.math.linear.FieldVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Returns the size of the vector.
getDimension() - Method in interface org.apache.commons.math.linear.RealVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math.linear.SparseFieldVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math.ode.FirstOrderConverter
Get the dimension of the problem.
getDimension() - Method in interface org.apache.commons.math.ode.FirstOrderDifferentialEquations
Get the dimension of the problem.
getDimension() - Method in interface org.apache.commons.math.ode.SecondOrderDifferentialEquations
Get the dimension of the problem.
getDimension() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the dimension of the data
getDimension() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns the dimension of the data
getDimension() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the dimension of the data
getDimension() - Method in class org.apache.commons.math.util.MultidimensionalCounter
Get the number of dimensions of the multidimensional counter.
getDimension1() - Method in exception org.apache.commons.math.DimensionMismatchException
Deprecated. Get the first dimension
getDimension2() - Method in exception org.apache.commons.math.DimensionMismatchException
Deprecated. Get the second dimension
getDirection() - Method in exception org.apache.commons.math.exception.NonMonotonousSequenceException
 
getDistance(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector
Distance between two vectors.
getDistance(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector
Distance between two vectors.
getDistance(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getDistance(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getDistance(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getDistance(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Optimized method to compute distance.
getDistance(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getDistance(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getDistance(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Distance between two vectors.
getDistance(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Distance between two vectors.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
Access the domain value lower bound, based on p, used to bracket a PDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Access the domain value lower bound, based on p, used to bracket a PDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Access the domain value lower bound, based on p, used to bracket a PDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Access the domain value lower bound, based on p, used to bracket a PDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
Access the domain value lower bound, based on p, used to bracket a PDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
Access the domain value upper bound, based on p, used to bracket a PDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Access the domain value upper bound, based on p, used to bracket a PDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Access the domain value upper bound, based on p, used to bracket a PDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Access the domain value upper bound, based on p, used to bracket a PDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
Access the domain value upper bound, based on p, used to bracket a PDF root.
getDuplicateAbscissa() - Method in exception org.apache.commons.math.DuplicateSampleAbscissaException
Get the duplicate abscissa.
getE() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant e.
getEigenvector(int) - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns a copy of the ith eigenvector of the original matrix.
getEigenvector(int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns a copy of the ith eigenvector of the original matrix.
getElement(int) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the element at the specified index
getElement(int) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Returns the element at the specified index
getElement(int) - Method in interface org.apache.commons.math.util.DoubleArray
Returns the element at the specified index.
getElement(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns the element at the specified index
getElements() - Method in interface org.apache.commons.math.util.DoubleArray
Returns a double[] array containing the elements of this DoubleArray.
getElements() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns a double array containing the elements of this ResizableArray.
getElitismRate() - Method in class org.apache.commons.math.genetics.ElitisticListPopulation
Access the elitism rate.
getEmpiricalDistribution() - Method in class org.apache.commons.math.random.ValueServer
Getter for property empiricalDistribution.
getEntry(int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Returns the entry in the specified index.
getEntry(int) - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns the entry in the specified index.
getEntry(int, int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entry in the specified row and column.
getEntry(int) - Method in interface org.apache.commons.math.linear.FieldVector
Returns the entry in the specified index.
getEntry(int, int) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Returns the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Returns the entry in the specified index.
getEntry(int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns the entry in the specified row and column.
getEntry(int) - Method in interface org.apache.commons.math.linear.RealVector
Returns the entry in the specified index.
getEntry(int, int) - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Returns the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math.linear.SparseFieldVector
Returns the entry in the specified index.
getEntryAsDouble(int, int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entry in the specified row and column as a double.
getEntryAsDouble(int, int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entry in the specified row and column as a double.
getESplit() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant e split in two pieces.
getEstimate() - Method in class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Get the current estimate of the parameter
getEvaluations() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get the number of evaluations of the differential equations function.
getEvaluations() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Get the number of evaluations of the differential equations function.
getEvaluations() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get the number of evaluations of the differential equations function.
getEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder
 
getEvaluations() - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer
Get the number of evaluations of the objective function.
getEventHandler() - Method in class org.apache.commons.math.ode.events.EventState
Get the underlying event handler.
getEventHandlers() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get all the event handlers that have been added to the integrator.
getEventHandlers() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Get all the event handlers that have been added to the integrator.
getEventHandlers() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get all the event handlers that have been added to the integrator.
getEventsHandlers() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Deprecated. Get all the events handlers that have been added to the manager.
getEventsStates() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Deprecated. Get all the events state wrapping the handlers that have been added to the manager.
getEventTime() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Deprecated. Get the occurrence time of the first event triggered in the last evaluated step.
getEventTime() - Method in class org.apache.commons.math.ode.events.EventState
Get the occurrence time of the event triggered in the current step.
getExpansionFactor() - Method in class org.apache.commons.math.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.math.util.ResizableDoubleArray
The expansionMode determines whether the internal storage array grows additively (ADDITIVE_MODE) or multiplicatively (MULTIPLICATIVE_MODE) when it is expanded.
getExponent() - Method in interface org.apache.commons.math.distribution.ZipfDistribution
Get the exponent characterising the distribution.
getExponent() - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
Get the exponent characterising the distribution.
getExponent(double) - Static method in class org.apache.commons.math.util.FastMath
Return the exponent of a double number, removing the bias.
getExponent(float) - Static method in class org.apache.commons.math.util.FastMath
Return the exponent of a float number, removing the bias.
getFHi() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder
Get function value at BracketFinder.getHi().
getField() - Method in class org.apache.commons.math.complex.Complex
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math.dfp.Dfp
Get the Field (really a DfpField) to which the instance belongs.
getField() - Method in interface org.apache.commons.math.FieldElement
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math.fraction.BigFraction
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math.fraction.Fraction
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Get the type of field elements of the matrix.
getField() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Get the type of field elements of the vector.
getField() - Method in interface org.apache.commons.math.linear.FieldMatrix
Get the type of field elements of the matrix.
getField() - Method in interface org.apache.commons.math.linear.FieldVector
Get the type of field elements of the vector.
getField() - Method in class org.apache.commons.math.linear.SparseFieldVector
Get the type of field elements of the vector.
getField() - Method in class org.apache.commons.math.util.BigReal
Get the Field to which the instance belongs.
getFinalTime() - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Get the final integration time.
getFirst() - Method in class org.apache.commons.math.genetics.ChromosomePair
Access the first chromosome.
getFitness() - Method in class org.apache.commons.math.genetics.Chromosome
Access the fitness of this chromosome.
getFittestChromosome() - Method in class org.apache.commons.math.genetics.ListPopulation
Access the fittest chromosome in this population.
getFittestChromosome() - Method in interface org.apache.commons.math.genetics.Population
Access the fittest chromosome in this population.
getFLow() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder
Get function value at BracketFinder.getLo().
getFMid() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder
Get function value at BracketFinder.getMid().
getFormat() - Method in class org.apache.commons.math.geometry.Vector3DFormat
Get the components format.
getFormat() - Method in class org.apache.commons.math.linear.RealVectorFormat
Get the components format.
getFrobeniusNorm() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the Frobenius norm of the matrix.
getFrobeniusNorm() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the Frobenius norm of the matrix.
getFrobeniusNorm() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the Frobenius norm of the matrix.
getFunctionValue() - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Get the result of the last run of the solver.
getFunctionValue() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Deprecated. Get the result of the last run of the solver.
getFunctionValue() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the result of the last run of the optimizer.
getFunctionValue() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Get the result of the last run of the optimizer.
getFunctionValue() - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer
Get the result of the last run of the optimizer.
getFunctionValueAccuracy() - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Get the actual function value accuracy.
getFunctionValueAccuracy() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Deprecated. Get the actual function value accuracy.
getGeneralPattern() - Method in exception org.apache.commons.math.exception.MathIllegalArgumentException
Gets the localizable pattern used to build the general part of the message of this throwable.
getGeneralPattern() - Method in exception org.apache.commons.math.exception.MathIllegalStateException
Gets the localizable pattern used to build the general part of the message of this throwable.
getGeneralPattern() - Method in interface org.apache.commons.math.exception.MathThrowable
Gets the localizable pattern used to build the general part of the message of this throwable.
getGeneralPattern() - Method in exception org.apache.commons.math.exception.MathUnsupportedOperationException
Gets the localizable pattern used to build the general part of the message of this throwable.
getGeneralPattern() - Method in exception org.apache.commons.math.MathException
Gets the localizable pattern used to build the general part of the message of this throwable.
getGeneralPattern() - Method in exception org.apache.commons.math.MathRuntimeException
Gets the localizable pattern used to build the general part of the message of this throwable.
getGenerationsEvolved() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the number of generations evolved to reach StoppingCondition in the last run.
getGenerator() - Method in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Get the underlying normalized components generator.
getGeneratorUpperBounds() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
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.math.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured geometric mean implementation
getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the geometric mean of all the aggregated data.
getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the geometric mean of the available values
getGeometricMean() - Method in class org.apache.commons.math.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.math.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.math.stat.descriptive.SummaryStatistics
Returns the geometric mean of the values that have been added.
getGeometricMean() - Method in class org.apache.commons.math.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.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the geometric mean of the values that have been added.
getGeometricMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured geometric mean implementation.
getGlobalCurrentTime() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Get the current global grid point time.
getGlobalPreviousTime() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Get the previous global grid point time.
getGoalType() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
 
getGradientEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Get the number of evaluations of the objective function gradient.
getGradientEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Get the number of evaluations of the objective function gradient.
getGradientEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get the number of evaluations of the objective function gradient.
getGuessedAmplitude() - Method in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Get the guessed amplitude a.
getGuessedPhase() - Method in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Get the guessed phase φ.
getGuessedPulsation() - Method in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Get the guessed pulsation ω.
getH() - Method in interface org.apache.commons.math.linear.QRDecomposition
Returns the Householder reflector vectors.
getH() - Method in class org.apache.commons.math.linear.QRDecompositionImpl
Returns the Householder reflector vectors.
getHi() - Method in exception org.apache.commons.math.exception.OutOfRangeException
 
getHi() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder
 
getIEEEFlags() - Method in class org.apache.commons.math.dfp.DfpField
Get the IEEE 854 status flags.
getImagEigenvalue(int) - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns the imaginary part of the ith eigenvalue of the original matrix.
getImagEigenvalue(int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns the imaginary part of the ith eigenvalue of the original matrix.
getImagEigenvalues() - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns a copy of the imaginary parts of the eigenvalues of the original matrix.
getImagEigenvalues() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns a copy of the imaginary parts of the eigenvalues of the original matrix.
getImaginary() - Method in class org.apache.commons.math.complex.Complex
Access the imaginary part.
getImaginaryCharacter() - Method in class org.apache.commons.math.complex.ComplexFormat
Access the imaginaryCharacter.
getImaginaryFormat() - Method in class org.apache.commons.math.complex.ComplexFormat
Access the imaginaryFormat.
getImproperInstance() - Static method in class org.apache.commons.math.fraction.BigFractionFormat
Returns the default complex format for the current locale.
getImproperInstance(Locale) - Static method in class org.apache.commons.math.fraction.BigFractionFormat
Returns the default complex format for the given locale.
getImproperInstance() - Static method in class org.apache.commons.math.fraction.FractionFormat
Returns the default complex format for the current locale.
getImproperInstance(Locale) - Static method in class org.apache.commons.math.fraction.FractionFormat
Returns the default complex format for the given locale.
getIndex() - Method in exception org.apache.commons.math.exception.NonMonotonousSequenceException
Get the index of the wrong value.
getIndex() - Method in class org.apache.commons.math.linear.OpenMapRealVector.OpenMapEntry
Get the index of the entry.
getIndex() - Method in class org.apache.commons.math.linear.RealVector.Entry
Get the index of the entry.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialTime() - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Get the initial integration time.
getInstance() - Static method in class org.apache.commons.math.complex.ComplexField
Get the unique instance.
getInstance() - Static method in class org.apache.commons.math.complex.ComplexFormat
Returns the default complex format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math.complex.ComplexFormat
Returns the default complex format for the given locale.
getInstance() - Static method in class org.apache.commons.math.fraction.BigFractionField
Get the unique instance.
getInstance() - Static method in class org.apache.commons.math.fraction.FractionField
Get the unique instance.
getInstance() - Static method in class org.apache.commons.math.geometry.Vector3DFormat
Returns the default 3D vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math.geometry.Vector3DFormat
Returns the default 3D vector format for the given locale.
getInstance() - Static method in class org.apache.commons.math.linear.RealVectorFormat
Returns the default real vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math.linear.RealVectorFormat
Returns the default real vector format for the given locale.
getInstance(int) - Static method in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer
Get the Nordsieck transformer for a given number of steps.
getInstance() - Static method in class org.apache.commons.math.ode.sampling.DummyStepHandler
Get the only instance.
getInstance() - Static method in class org.apache.commons.math.util.BigRealField
Get the unique instance.
getIntercept() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the intercept of the estimated regression line.
getInterceptStdErr() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the standard error of the intercept estimate, usually denoted s(b0).
getInternalValues() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns the internal storage array.
getInterpolatedDerivatives() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Get the derivatives of the state vector of the interpolated point.
getInterpolatedDerivatives() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Get the derivatives of the state vector of the interpolated point.
getInterpolatedDyDp() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Get the partial derivatives of the state vector with respect to the ODE parameters of the interpolated point.
getInterpolatedDyDpDot() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Get the time derivatives of the jacobian of the state vector with respect to the ODE parameters of the interpolated point.
getInterpolatedDyDy0() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Get the partial derivatives of the state vector with respect to the initial state of the interpolated point.
getInterpolatedDyDy0Dot() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Get the time derivatives of the jacobian of the state vector with respect to the initial state of the interpolated point.
getInterpolatedState() - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Get the state vector of the interpolated point.
getInterpolatedState() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Get the state vector of the interpolated point.
getInterpolatedState() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Get the state vector of the interpolated point.
getInterpolatedStateVariation() - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Get the state vector variation from current to interpolated state.
getInterpolatedTime() - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Get the time of the interpolated point.
getInterpolatedTime() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Get the time of the interpolated point.
getInterpolatedTime() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Get the time of the interpolated point.
getInterpolatedTime() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Get the time of the interpolated point.
getInterpolatedY() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Get the state vector of the interpolated point.
getInterpolatedYDot() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Get the time derivatives of the state vector of the interpolated point.
getInterpolatingPoints() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns a copy of the interpolating points array.
getInterpolatingValues() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns a copy of the interpolating values array.
getInverse() - Method in interface org.apache.commons.math.linear.DecompositionSolver
Get the inverse (or pseudo-inverse) of the decomposed matrix.
getInverse() - Method in interface org.apache.commons.math.linear.FieldDecompositionSolver
Get the inverse (or pseudo-inverse) of the decomposed matrix.
getIterationCount() - Method in interface org.apache.commons.math.ConvergingAlgorithm
Deprecated. Get the number of iterations in the last run of the algorithm.
getIterationCount() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. Get the number of iterations in the last run of the algorithm.
getIterationCount() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the number of iterations in the last run of the algorithm.
getIterations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in interface org.apache.commons.math.optimization.linear.LinearOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder
 
getJacobianEvaluations() - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Get the number of jacobian evaluations.
getJacobianEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Get the number of evaluations of the objective function jacobian .
getJacobianEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the number of evaluations of the objective function jacobian .
getJacobianEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get the number of evaluations of the objective function jacobian .
getKnots() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Returns an array copy of the knot points.
getKurtosis() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the Kurtosis of the available values.
getKurtosisImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured kurtosis implementation.
getL() - Method in interface org.apache.commons.math.linear.CholeskyDecomposition
Returns the matrix L of the decomposition.
getL() - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Returns the matrix L of the decomposition.
getL() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition
Returns the matrix L of the decomposition.
getL() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Returns the matrix L of the decomposition.
getL() - Method in interface org.apache.commons.math.linear.LUDecomposition
Returns the matrix L of the decomposition.
getL() - Method in class org.apache.commons.math.linear.LUDecompositionImpl
Returns the matrix L of the decomposition.
getL1Distance(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector
Distance between two vectors.
getL1Distance(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector
Distance between two vectors.
getL1Distance(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getL1Distance(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getL1Distance(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getL1Distance(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getL1Distance(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getL1Distance(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getL1Distance(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Distance between two vectors.
getL1Distance(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Distance between two vectors.
getL1Norm() - Method in class org.apache.commons.math.linear.AbstractRealVector
Returns the L1 norm of the vector.
getL1Norm() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns the L1 norm of the vector.
getL1Norm() - Method in interface org.apache.commons.math.linear.RealVector
Returns the L1 norm of the vector.
getLength() - Method in class org.apache.commons.math.genetics.AbstractListChromosome
Returns the length of the chromosome.
getLInfDistance(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector
Distance between two vectors.
getLInfDistance(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector
Distance between two vectors.
getLInfDistance(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getLInfDistance(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getLInfDistance(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getLInfDistance(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getLInfDistance(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getLInfDistance(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Distance between two vectors.
getLInfDistance(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Distance between two vectors.
getLInfNorm() - Method in class org.apache.commons.math.linear.AbstractRealVector
Returns the L norm of the vector.
getLInfNorm() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns the L norm of the vector.
getLInfNorm() - Method in interface org.apache.commons.math.linear.RealVector
Returns the L norm of the vector.
getLn10() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant ln(10).
getLn2() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant ln(2).
getLn2Split() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant ln(2) split in two pieces.
getLn5() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant ln(5).
getLn5Split() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant ln(5) split in two pieces.
getLo() - Method in exception org.apache.commons.math.exception.OutOfRangeException
 
getLo() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder
 
getLocalizedMessage() - Method in exception org.apache.commons.math.exception.MathIllegalArgumentException
Gets the message in the system default locale.
getLocalizedMessage() - Method in exception org.apache.commons.math.exception.MathIllegalStateException
Gets the message in the system default locale.
getLocalizedMessage() - Method in interface org.apache.commons.math.exception.MathThrowable
Gets the message in the system default locale.
getLocalizedMessage() - Method in exception org.apache.commons.math.exception.MathUnsupportedOperationException
Gets the message in the system default locale.
getLocalizedMessage() - Method in exception org.apache.commons.math.MathException
Gets the message in the system default locale.
getLocalizedMessage() - Method in exception org.apache.commons.math.MathRuntimeException
Gets the message in the system default locale.
getLocalizedString(Locale) - Method in class org.apache.commons.math.exception.util.DummyLocalizable
Get the localized string.
getLocalizedString(Locale) - Method in interface org.apache.commons.math.exception.util.Localizable
Get the localized string.
getLocalizedString(Locale) - Method in enum org.apache.commons.math.exception.util.LocalizedFormats
Get the localized string.
getLT() - Method in interface org.apache.commons.math.linear.CholeskyDecomposition
Returns the transpose of the matrix L of the decomposition.
getLT() - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Returns the transpose of the matrix L of the decomposition.
getLUMatrix() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the LU decomposition as a BigMatrix.
getMainSetDimension() - Method in interface org.apache.commons.math.ode.ExtendedFirstOrderDifferentialEquations
Return the dimension of the main set of equations.
getMatrix() - Method in class org.apache.commons.math.geometry.Rotation
Get the 3X3 matrix corresponding to the instance
getMax() - Method in exception org.apache.commons.math.exception.NumberIsTooLargeException
 
getMax() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
 
getMax() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the maximum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMax() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the maximum of the ith entries of the arrays that correspond to each multivariate sample
getMax() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary
Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
 
getMax() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the maximum of the values that have been added.
getMax() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the maximum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMax() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the maximum of the values that have been added.
getMaxCheckInterval() - Method in class org.apache.commons.math.ode.events.EventState
Get the maximal time interval between events handler checks.
getMaxEvaluations() - Method in exception org.apache.commons.math.MaxEvaluationsExceededException
Get the maximal number of evaluations allowed.
getMaxEvaluations() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxGrowth() - Method in class org.apache.commons.math.ode.MultistepIntegrator
Get the maximal growth factor for stepsize control.
getMaxGrowth() - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Get the maximal growth factor for stepsize control.
getMaximalIterationCount() - Method in interface org.apache.commons.math.ConvergingAlgorithm
Deprecated. Get the upper limit for the number of iterations.
getMaximalIterationCount() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. Get the upper limit for the number of iterations.
getMaximalIterationCount() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the upper limit for the number of iterations.
getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured maximum implementation.
getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured maximum implementation
getMaxIndex() - Method in class org.apache.commons.math.linear.AbstractRealVector
Get the index of the maximum entry.
getMaxIterationCount() - Method in class org.apache.commons.math.ode.events.EventState
Get the upper limit in the iteration count for event localization.
getMaxIterations() - Method in exception org.apache.commons.math.MaxIterationsExceededException
Get the maximal number of iterations allowed.
getMaxIterations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in interface org.apache.commons.math.optimization.linear.LinearOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Get the maximal number of iterations of the algorithm.
getMaxStep() - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Get the maximal step.
getMaxValue() - Method in class org.apache.commons.math.linear.AbstractRealVector
Get the value of the maximum entry.
getMean() - Method in interface org.apache.commons.math.distribution.ExponentialDistribution
Access the mean.
getMean() - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Access the mean.
getMean() - Method in interface org.apache.commons.math.distribution.NormalDistribution
Access the mean.
getMean() - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Access the mean.
getMean() - Method in interface org.apache.commons.math.distribution.PoissonDistribution
Get the mean for the distribution.
getMean() - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
Get the Poisson mean for the distribution.
getMean() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMean() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the mean of the ith entries of the arrays that correspond to each multivariate sample
getMean() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary
Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
 
getMean() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the mean of the values that have been added.
getMean() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMean() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the mean of the values that have been added.
getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured mean implementation.
getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured mean implementation
getMeanSquareError() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE.
getMeasuredValue() - Method in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Get the measured value
getMeasurements() - Method in interface org.apache.commons.math.estimation.EstimationProblem
Deprecated. Get the measurements of an estimation problem.
getMeasurements() - Method in class org.apache.commons.math.estimation.SimpleEstimationProblem
Deprecated. Get the measurements of an estimation problem.
getMedian() - Method in interface org.apache.commons.math.distribution.CauchyDistribution
Access the median.
getMedian() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Access the median.
getMessage(Locale) - Method in exception org.apache.commons.math.exception.MathIllegalArgumentException
Get the message in a specified locale.
getMessage() - Method in exception org.apache.commons.math.exception.MathIllegalArgumentException
Gets the message in a conventional US locale.
getMessage(Locale) - Method in exception org.apache.commons.math.exception.MathIllegalStateException
Get the message in a specified locale.
getMessage() - Method in exception org.apache.commons.math.exception.MathIllegalStateException
Gets the message in a conventional US locale.
getMessage(Locale) - Method in interface org.apache.commons.math.exception.MathThrowable
Gets the message in a specified locale.
getMessage() - Method in interface org.apache.commons.math.exception.MathThrowable
Gets the message in a conventional US locale.
getMessage(Locale) - Method in exception org.apache.commons.math.exception.MathUnsupportedOperationException
Get the message in a specified locale.
getMessage() - Method in exception org.apache.commons.math.exception.MathUnsupportedOperationException
Gets the message in a conventional US locale.
getMessage(Locale) - Method in exception org.apache.commons.math.MathException
Gets the message in a specified locale.
getMessage() - Method in exception org.apache.commons.math.MathException
Gets the message in a conventional US locale.
getMessage(Locale) - Method in exception org.apache.commons.math.MathRuntimeException
Gets the message in a specified locale.
getMessage() - Method in exception org.apache.commons.math.MathRuntimeException
Gets the message in a conventional US locale.
getMid() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder
 
getMin() - Method in exception org.apache.commons.math.exception.NumberIsTooSmallException
 
getMin() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
 
getMin() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the minimum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMin() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the minimum of the ith entries of the arrays that correspond to each multivariate sample
getMin() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary
Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
 
getMin() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the minimum of the values that have been added.
getMin() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the minimum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMin() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the minimum of the values that have been added.
getMinimalIterationCount() - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator
Get the lower limit for the number of iterations.
getMinimalIterationCount() - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Get the lower limit for the number of iterations.
getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured minimum implementation.
getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured minimum implementation
getMinIndex() - Method in class org.apache.commons.math.linear.AbstractRealVector
Get the index of the minimum entry.
getMinReduction() - Method in class org.apache.commons.math.ode.MultistepIntegrator
Get the minimal reduction factor for stepsize control.
getMinReduction() - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Get the minimal reduction factor for stepsize control.
getMinStep() - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Get the minimal step.
getMinValue() - Method in class org.apache.commons.math.linear.AbstractRealVector
Get the value of the minimum entry.
getMode() - Method in class org.apache.commons.math.random.ValueServer
Getter for property mode.
getMu() - Method in class org.apache.commons.math.random.ValueServer
Getter for property mu.
getMutationPolicy() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the mutation policy.
getMutationRate() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the mutation rate.
getN() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Returns the number of spline segments = the number of polynomials = the number of knot points - 1.
getN() - Method in class org.apache.commons.math.stat.correlation.Covariance
Returns the number of observations (length of covariate vectors)
getN() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
Get the number of vectors in the sample.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialMean
Get the number of vectors in the sample.
getN() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.rank.Max
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.rank.Min
Returns the number of values that have been added.
getN() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns the number of available values
getN() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
 
getN() - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.summary.Product
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the number of observations that have been added to the model.
getName() - Method in class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. get the name of the parameter
getName() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get the name of the method.
getName() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get the name of the method.
getNanStrategy() - Method in class org.apache.commons.math.stat.ranking.NaturalRanking
Return the NaNStrategy
getNewtonCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Returns a copy of coefficients in Newton form formula.
getNext() - Method in class org.apache.commons.math.random.ValueServer
Returns the next generated value, generated according to the mode value (see MODE constants).
getNextValue() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Generates a random value from this distribution.
getNextValue() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Generates a random value from this distribution.
getNorm() - Method in class org.apache.commons.math.geometry.Vector3D
Get the L2 norm for the vector.
getNorm() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math.linear.AbstractRealVector
Returns the L2 norm of the vector.
getNorm() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns the L2 norm of the vector.
getNorm() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in interface org.apache.commons.math.linear.RealVector
Returns the L2 norm of the vector.
getNorm() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the L2 norm of the matrix.
getNorm() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the L2 norm of the matrix.
getNorm1() - Method in class org.apache.commons.math.geometry.Vector3D
Get the L1 norm for the vector.
getNormInf() - Method in class org.apache.commons.math.geometry.Vector3D
Get the L norm for the vector.
getNormSq() - Method in class org.apache.commons.math.geometry.Vector3D
Get the square of the norm for the vector.
getNSteps() - Method in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer
Get the number of steps of the method (excluding the one being computed).
getNumberOfElements() - Method in interface org.apache.commons.math.distribution.ZipfDistribution
Get the number of elements (e.g.
getNumberOfElements() - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
Get the number of elements (e.g.
getNumberOfSuccesses() - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Access the number of successes.
getNumberOfSuccesses() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Access the number of successes.
getNumberOfSuccesses() - Method in interface org.apache.commons.math.distribution.PascalDistribution
Access the number of successes for this distribution.
getNumberOfSuccesses() - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Access the number of successes for this distribution.
getNumberOfTrials() - Method in interface org.apache.commons.math.distribution.BinomialDistribution
Access the number of trials for this distribution.
getNumberOfTrials() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Access the number of trials for this distribution.
getNumElements() - Method in interface org.apache.commons.math.util.DoubleArray
Returns the number of elements currently in the array.
getNumElements() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns the number of elements currently in the array.
getNumerator() - Method in class org.apache.commons.math.fraction.BigFraction
Access the numerator as a BigInteger.
getNumerator() - Method in class org.apache.commons.math.fraction.Fraction
Access the numerator.
getNumeratorAsInt() - Method in class org.apache.commons.math.fraction.BigFraction
Access the numerator as a int.
getNumeratorAsLong() - Method in class org.apache.commons.math.fraction.BigFraction
Access the numerator as a long.
getNumeratorDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.FDistribution
Access the numerator degrees of freedom.
getNumeratorDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.FDistributionImpl
Access the numerator degrees of freedom.
getNumeratorFormat() - Method in class org.apache.commons.math.fraction.AbstractFormat
Access the numerator format.
getNumericalMean() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Returns the mean.
getNumericalMean() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Returns the mean.
getNumericalMean() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Returns the mean.
getNumericalMean() - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Returns the mean of the distribution.
getNumericalMean() - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Returns the mean of the distribution.
getNumericalMean() - Method in class org.apache.commons.math.distribution.FDistributionImpl
Returns the mean of the distribution.
getNumericalMean() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Returns the mean.
getNumericalMean() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Returns the mean.
getNumericalMean() - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Returns the mean.
getNumericalMean() - Method in class org.apache.commons.math.distribution.TDistributionImpl
Returns the mean.
getNumericalMean() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Returns the mean of the distribution.
getNumericalMean() - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
Returns the mean.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Returns the variance.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Returns the variance.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Returns the variance.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Returns the variance of the distribution.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Returns the variance of the distribution.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.FDistributionImpl
Returns the variance of the distribution.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Returns the variance.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Returns the variance.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Returns the variance.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Returns the variance.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
Returns the variance of the distribution.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.TDistributionImpl
Returns the variance.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Returns the variance of the distribution.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
Returns the variance.
getNumGenerations() - Method in class org.apache.commons.math.genetics.FixedGenerationCount
 
getObservations() - Method in class org.apache.commons.math.optimization.fitting.CurveFitter
Get the observed points.
getOmegaInverse() - Method in class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression
Get the inverse of the covariance.
getOne() - Method in class org.apache.commons.math.complex.ComplexField
Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math.dfp.Dfp
Get the constant 1.
getOne() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant 1.
getOne() - Method in interface org.apache.commons.math.Field
Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math.fraction.BigFractionField
Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math.fraction.FractionField
Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math.util.BigRealField
Get the multiplicative identity of the field.
getOneWayAnova() - Static method in class org.apache.commons.math.stat.inference.TestUtils
Deprecated. 2.2 will be removed in 3.0
getOptima() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get all the optima found during the last call to optimize.
getOptima() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get all the optima found during the last call to optimize.
getOptima() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Get all the optima found during the last call to optimize.
getOptima() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get all the optima found during the last call to optimize.
getOptimaValues() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get all the function values at optima found during the last call to optimize.
getOrder() - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Get the order of the method.
getOrder() - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Get the order of the method.
getOrder() - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Get the order of the method.
getOrder() - Method in class org.apache.commons.math.ode.nonstiff.HighamHall54Integrator
Get the order of the method.
getP() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition
Returns the P rows permutation matrix.
getP() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Returns the P rows permutation matrix.
getP() - Method in interface org.apache.commons.math.linear.LUDecomposition
Returns the P rows permutation matrix.
getP() - Method in class org.apache.commons.math.linear.LUDecompositionImpl
Returns the P rows permutation matrix.
getParametersDimension() - Method in interface org.apache.commons.math.ode.jacobians.ODEWithJacobians
Deprecated. Get the number of parameters.
getParametersDimension() - Method in interface org.apache.commons.math.ode.jacobians.ParameterizedODE
Deprecated. Get the number of parameters.
getPartial(EstimatedParameter) - Method in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Get the partial derivative of the theoretical value according to the parameter.
getPattern() - Method in exception org.apache.commons.math.MathException
Deprecated. as of 2.2 replaced by MathException.getSpecificPattern() and MathException.getGeneralPattern()
getPattern() - Method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.getSpecificPattern() and MathRuntimeException.getGeneralPattern()
getPct(Object) - Method in class org.apache.commons.math.stat.Frequency
Deprecated. replaced by Frequency.getPct(Comparable) as of 2.0
getPct(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPct(int) - Method in class org.apache.commons.math.stat.Frequency
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPct(long) - Method in class org.apache.commons.math.stat.Frequency
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPct(char) - Method in class org.apache.commons.math.stat.Frequency
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPercentile(double) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns an estimate for the pth percentile of the stored values.
getPercentileImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured percentile implementation.
getPermutation() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the permutation associated with the lu decomposition.
getPhase() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFunction
Get the phase φ.
getPi() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant π.
getPiSplit() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant π split in two pieces.
getPivot() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition
Returns the pivot permutation vector.
getPivot() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Returns the pivot permutation vector.
getPivot() - Method in interface org.apache.commons.math.linear.LUDecomposition
Returns the pivot permutation vector.
getPivot() - Method in class org.apache.commons.math.linear.LUDecompositionImpl
Returns the pivot permutation vector.
getPoint() - Method in class org.apache.commons.math.optimization.RealPointValuePair
Get the point.
getPoint() - Method in class org.apache.commons.math.optimization.VectorialPointValuePair
Get the point.
getPoint() - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
Get the n-dimensional point in integer space.
getPointRef() - Method in class org.apache.commons.math.optimization.RealPointValuePair
Get a reference to the point.
getPointRef() - Method in class org.apache.commons.math.optimization.VectorialPointValuePair
Get a reference to the point.
getPoints() - Method in class org.apache.commons.math.stat.clustering.Cluster
Get the points contained in the cluster.
getPolynomialFunction() - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Deprecated. as of 2.0 the function is not stored anymore within the instance.
getPolynomials() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Returns a copy of the interpolating polynomials array.
getPopulationLimit() - Method in class org.apache.commons.math.genetics.ListPopulation
Access the maximum population size.
getPopulationLimit() - Method in interface org.apache.commons.math.genetics.Population
Access the maximum population size.
getPopulationSize() - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Access the population size.
getPopulationSize() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Access the population size.
getPopulationSize() - Method in class org.apache.commons.math.genetics.ListPopulation
Access the current population size.
getPopulationSize() - Method in interface org.apache.commons.math.genetics.Population
Access the current population size.
getPrefix() - Method in class org.apache.commons.math.geometry.Vector3DFormat
Get the format prefix.
getPrefix() - Method in class org.apache.commons.math.linear.RealVectorFormat
Get the format prefix.
getPrevious() - Method in exception org.apache.commons.math.exception.NonMonotonousSequenceException
 
getPreviousTime() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Get the previous grid point time.
getPreviousTime() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Get the previous soft grid point time.
getPreviousTime() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Get the previous grid point time.
getProbabilityOfSuccess() - Method in interface org.apache.commons.math.distribution.BinomialDistribution
Access the probability of success for this distribution.
getProbabilityOfSuccess() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Access the probability of success for this distribution.
getProbabilityOfSuccess() - Method in interface org.apache.commons.math.distribution.PascalDistribution
Access the probability of success for this distribution.
getProbabilityOfSuccess() - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Access the probability of success for this distribution.
getProperInstance() - Static method in class org.apache.commons.math.fraction.BigFractionFormat
Returns the default complex format for the current locale.
getProperInstance(Locale) - Static method in class org.apache.commons.math.fraction.BigFractionFormat
Returns the default complex format for the given locale.
getProperInstance() - Static method in class org.apache.commons.math.fraction.FractionFormat
Returns the default complex format for the current locale.
getProperInstance(Locale) - Static method in class org.apache.commons.math.fraction.FractionFormat
Returns the default complex format for the given locale.
getPulsation() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFunction
Get the pulsation ω.
getQ() - Method in interface org.apache.commons.math.linear.QRDecomposition
Returns the matrix Q of the decomposition.
getQ() - Method in class org.apache.commons.math.linear.QRDecompositionImpl
Returns the matrix Q of the decomposition.
getQ0() - Method in class org.apache.commons.math.geometry.Rotation
Get the scalar coordinate of the quaternion.
getQ1() - Method in class org.apache.commons.math.geometry.Rotation
Get the first coordinate of the vectorial part of the quaternion.
getQ2() - Method in class org.apache.commons.math.geometry.Rotation
Get the second coordinate of the vectorial part of the quaternion.
getQ3() - Method in class org.apache.commons.math.geometry.Rotation
Get the third coordinate of the vectorial part of the quaternion.
getQT() - Method in interface org.apache.commons.math.linear.QRDecomposition
Returns the transpose of the matrix Q of the decomposition.
getQT() - Method in class org.apache.commons.math.linear.QRDecompositionImpl
Returns the transpose of the matrix Q of the decomposition.
getQuantile() - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Returns the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).
getR() - Method in interface org.apache.commons.math.linear.QRDecomposition
Returns the matrix R of the decomposition.
getR() - Method in class org.apache.commons.math.linear.QRDecompositionImpl
Returns the matrix R of the decomposition.
getR() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns Pearson's product moment correlation coefficient, usually denoted r.
getRadixDigits() - Method in class org.apache.commons.math.dfp.Dfp
Get the number of radix digits of the instance.
getRadixDigits() - Method in class org.apache.commons.math.dfp.DfpField
Get the number of radix digits of the Dfp instances built by this factory.
getRandomGenerator() - Static method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the (static) random generator.
getRank() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Return the effective numerical matrix rank.
getRank() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Return the effective numerical matrix rank.
getRank() - Method in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Get the rank of the covariance matrix.
getRankCorrelation() - Method in class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Returns a PearsonsCorrelation instance constructed from the ranked input data.
getReal() - Method in class org.apache.commons.math.complex.Complex
Access the real part.
getRealEigenvalue(int) - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns the real part of the ith eigenvalue of the original matrix.
getRealEigenvalue(int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns the real part of the ith eigenvalue of the original matrix.
getRealEigenvalues() - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns a copy of the real parts of the eigenvalues of the original matrix.
getRealEigenvalues() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns a copy of the real parts of the eigenvalues of the original matrix.
getRealFormat() - Method in class org.apache.commons.math.complex.ComplexFormat
Access the realFormat.
getReducedFraction(int, int) - Static method in class org.apache.commons.math.fraction.BigFraction
Creates a BigFraction instance with the 2 parts of a fraction Y/Z.
getReducedFraction(int, int) - Static method in class org.apache.commons.math.fraction.Fraction
Creates a Fraction instance with the 2 parts of a fraction Y/Z.
getRegressionSumSquares() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y).
getRelationship() - Method in class org.apache.commons.math.optimization.linear.LinearConstraint
Get the relationship between left and right hand sides.
getRelativeAccuracy() - Method in interface org.apache.commons.math.ConvergingAlgorithm
Deprecated. Get the actual relative accuracy.
getRelativeAccuracy() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. Get the actual relative accuracy.
getRelativeAccuracy() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the actual relative accuracy.
getRepresentation() - Method in class org.apache.commons.math.genetics.AbstractListChromosome
Returns the (immutable) inner representation of the chromosome.
getResidual() - Method in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Get the residual for this measurement The residual is the measured value minus the theoretical value.
getResult() - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator
Get the result of the last run of the integrator.
getResult() - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Access the last computed integral.
getResult() - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Get the result of the last run of the solver.
getResult() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Deprecated. Get the result of the last run of the solver.
getResult() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the result of the last run of the optimizer.
getResult() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Get the result of the last run of the optimizer.
getResult() - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer
Get the result of the last run of the optimizer.
getResult() - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness
Returns the value of the statistic based on the values that have been added.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
Get the covariance matrix.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialMean
Get the mean vector.
getResult() - Method in class org.apache.commons.math.stat.descriptive.rank.Max
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.rank.Min
Returns the current value of the Statistic.
getResult() - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.summary.Product
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Returns the current value of the Statistic.
getRMS(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Get the Root Mean Square value.
getRMS(EstimationProblem) - Method in interface org.apache.commons.math.estimation.Estimator
Deprecated. Get the Root Mean Square value.
getRMS() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the Root Mean Square value.
getRootMatrix() - Method in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Get the root of the covariance matrix.
getRoundingMode() - Method in class org.apache.commons.math.dfp.DfpField
Get the current rounding mode.
getRoundingMode() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Gets the rounding mode
getRoundingMode() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Gets the rounding mode for division operations The default is BigDecimal.ROUND_HALF_UP
getRoundingMode() - Method in class org.apache.commons.math.util.BigReal
Gets the rounding mode for division operations The default is RoundingMode.HALF_UP
getRow(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entries in row number row as an array.
getRow(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entries in row number row as an array.
getRow(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entries in row number row as an array.
getRow(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entries in row number row as an array.
getRow(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entries in row number row as an array.
getRow(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entries in row number row as an array.
getRow(int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entries in row number row as an array.
getRow(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in row number row as an array.
getRowAsDoubleArray(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entries in row number row as an array of double values.
getRowAsDoubleArray(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entries in row number row as an array of double values.
getRowDimension() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in interface org.apache.commons.math.linear.AnyMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Returns the number of rows in the matrix.
getRowMatrix(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in row number row as a row matrix.
getRowVector(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entries in row number row as a vector.
getRowVector(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entries in row number row as a vector.
getRowVector(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entries in row number row as a vector.
getRowVector(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entries in row number row as a vector.
getRowVector(int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entries in row number row as a vector.
getRowVector(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in row number row as a vector.
getRSquare() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the coefficient of determination, usually denoted r-square.
getS() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the diagonal matrix Σ of the decomposition.
getS() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the diagonal matrix Σ of the decomposition.
getSafety() - Method in class org.apache.commons.math.ode.MultistepIntegrator
Get the safety factor for stepsize control.
getSafety() - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Get the safety factor for stepsize control.
getSampleSize() - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Access the sample size.
getSampleSize() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Access the sample size.
getSampleStats() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Returns a StatisticalSummary describing this distribution.
getSampleStats() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Returns a StatisticalSummary describing this distribution.
getScale() - Method in interface org.apache.commons.math.distribution.CauchyDistribution
Access the scale parameter.
getScale() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Access the scale parameter.
getScale() - Method in interface org.apache.commons.math.distribution.WeibullDistribution
Access the scale parameter.
getScale() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Access the scale parameter.
getScale() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Sets the scale for division operations.
getScale() - Method in class org.apache.commons.math.util.BigReal
Sets the scale for division operations.
getSecond() - Method in class org.apache.commons.math.genetics.ChromosomePair
Access the second chromosome.
getSecondMoment() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns a statistic related to the Second Central Moment.
getSecondMoment() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns a statistic related to the Second Central Moment.
getSelectionPolicy() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the selection policy.
getSeparator() - Method in class org.apache.commons.math.geometry.Vector3DFormat
Get the format separator between components.
getSeparator() - Method in class org.apache.commons.math.linear.RealVectorFormat
Get the format separator between components.
getShape() - Method in interface org.apache.commons.math.distribution.WeibullDistribution
Access the shape parameter.
getShape() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Access the shape parameter.
getSigma() - Method in class org.apache.commons.math.random.ValueServer
Getter for property sigma.
getSignificance() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the significance level of the slope (equiv) correlation.
getSingularValues() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the diagonal elements of the matrix Σ of the decomposition.
getSingularValues() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the diagonal elements of the matrix Σ of the decomposition.
getSize() - Method in class org.apache.commons.math.util.MultidimensionalCounter
Get the total number of elements.
getSizes() - Method in class org.apache.commons.math.util.MultidimensionalCounter
Get the number of multidimensional counter slots in each dimension.
getSkewness() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the skewness of the available values.
getSkewnessImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured skewness implementation.
getSlope() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the slope of the estimated regression line.
getSlopeConfidenceInterval() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the half-width of a 95% confidence interval for the slope estimate.
getSlopeConfidenceInterval(double) - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the half-width of a (100-100*alpha)% confidence interval for the slope estimate.
getSlopeStdErr() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the standard error of the slope estimate, usually denoted s(b1).
getSolver() - Method in interface org.apache.commons.math.linear.CholeskyDecomposition
Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in interface org.apache.commons.math.linear.EigenDecomposition
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in interface org.apache.commons.math.linear.LUDecomposition
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math.linear.LUDecompositionImpl
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in interface org.apache.commons.math.linear.QRDecomposition
Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math.linear.QRDecompositionImpl
Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Get a solver for finding the A × X = B solution in least square sense.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution
Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.FDistributionImpl
Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.TDistributionImpl
Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.
getSortedValues() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the current set of values in an array of double primitives, sorted in ascending order.
getSourceString() - Method in class org.apache.commons.math.exception.util.DummyLocalizable
Get the source (non-localized) string.
getSourceString() - Method in interface org.apache.commons.math.exception.util.Localizable
Get the source (non-localized) string.
getSourceString() - Method in enum org.apache.commons.math.exception.util.LocalizedFormats
Get the source (non-localized) string.
getSparcity() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Deprecated. as of 2.2 replaced by the correctly spelled OpenMapRealVector.getSparsity()
getSparsity() - Method in class org.apache.commons.math.linear.OpenMapRealVector
 
getSpecificPattern() - Method in exception org.apache.commons.math.exception.MathIllegalArgumentException
Gets the localizable pattern used to build the specific part of the message of this throwable.
getSpecificPattern() - Method in exception org.apache.commons.math.exception.MathIllegalStateException
Gets the localizable pattern used to build the specific part of the message of this throwable.
getSpecificPattern() - Method in interface org.apache.commons.math.exception.MathThrowable
Gets the localizable pattern used to build the specific part of the message of this throwable.
getSpecificPattern() - Method in exception org.apache.commons.math.exception.MathUnsupportedOperationException
Gets the localizable pattern used to build the specific part of the message of this throwable.
getSpecificPattern() - Method in exception org.apache.commons.math.MathException
Gets the localizable pattern used to build the specific part of the message of this throwable.
getSpecificPattern() - Method in exception org.apache.commons.math.MathRuntimeException
Gets the localizable pattern used to build the specific part of the message of this throwable.
getSqr2() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant √2.
getSqr2Reciprocal() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant √2 / 2.
getSqr2Split() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant √2 split in two pieces.
getSqr3() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant √3.
getSqr3Reciprocal() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant √3 / 3.
getStandardDeviation() - Method in interface org.apache.commons.math.distribution.NormalDistribution
Access the standard deviation.
getStandardDeviation() - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Access the standard deviation.
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getStandardDeviation() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that correspond to each multivariate sample
getStandardDeviation() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary
Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
 
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the standard deviation of the values that have been added.
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the standard deviation of the values that have been added.
getStarterIntegrator() - Method in class org.apache.commons.math.ode.MultistepIntegrator
Get the starter integrator.
getStartValue() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
 
getStepHandlers() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get all the step handlers that have been added to the int