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

A

add(S, double) - Method in interface org.apache.commons.rng.sampling.CompositeSamplers.Builder

Adds the sampler to the composite.

AhrensDieterExponentialSampler - Class in org.apache.commons.rng.sampling.distribution

Sampling from an exponential distribution.

AhrensDieterExponentialSampler(UniformRandomProvider, double) - Constructor for class org.apache.commons.rng.sampling.distribution.AhrensDieterExponentialSampler

AhrensDieterMarsagliaTsangGammaSampler - Class in org.apache.commons.rng.sampling.distribution

Sampling from the gamma distribution.

AhrensDieterMarsagliaTsangGammaSampler(UniformRandomProvider, double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.AhrensDieterMarsagliaTsangGammaSampler

This instance delegates sampling.

alias - Variable in class org.apache.commons.rng.sampling.distribution.AliasMethodDiscreteSampler

The alias table.

ALIAS_METHOD - org.apache.commons.rng.sampling.CompositeSamplers.DiscreteProbabilitySampler

Sample using the alias method (see AliasMethodDiscreteSampler).

AliasMethodDiscreteSampler - Class in org.apache.commons.rng.sampling.distribution

Distribution sampler that uses the Alias method.

B

BoxMullerGaussianSampler - Class in org.apache.commons.rng.sampling.distribution

Deprecated.

Since version 1.1. Please use BoxMullerNormalizedGaussianSampler and GaussianSampler instead.

BoxMullerGaussianSampler(UniformRandomProvider, double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.BoxMullerGaussianSampler

Deprecated.

BoxMullerLogNormalSampler - Class in org.apache.commons.rng.sampling.distribution

Deprecated.

Since version 1.1. Please use LogNormalSampler instead.

BoxMullerLogNormalSampler(UniformRandomProvider, double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.BoxMullerLogNormalSampler

Deprecated.

BoxMullerNormalizedGaussianSampler - Class in org.apache.commons.rng.sampling.distribution

Box-Muller algorithm for sampling from Gaussian distribution with mean 0 and standard deviation 1.

BoxMullerNormalizedGaussianSampler(UniformRandomProvider) - Constructor for class org.apache.commons.rng.sampling.distribution.BoxMullerNormalizedGaussianSampler

BoxSampler - Class in org.apache.commons.rng.sampling.shape

Generate points uniformly distributed within a n-dimension box (hyperrectangle).

build(UniformRandomProvider) - Method in interface org.apache.commons.rng.sampling.CompositeSamplers.Builder

Builds the composite sampler.

C

ChengBetaSampler - Class in org.apache.commons.rng.sampling.distribution

Sampling from a beta distribution.

ChengBetaSampler(UniformRandomProvider, double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.ChengBetaSampler

Creates a sampler instance.

CollectionSampler<T> - Class in org.apache.commons.rng.sampling

Sampling from a Collection.

CollectionSampler(UniformRandomProvider, Collection<T>) - Constructor for class org.apache.commons.rng.sampling.CollectionSampler

Creates a sampler.

CombinationSampler - Class in org.apache.commons.rng.sampling

Class for representing combinations of a sequence of integers.

CombinationSampler(UniformRandomProvider, int, int) - Constructor for class org.apache.commons.rng.sampling.CombinationSampler

Creates a generator of combinations.

CompositeSamplers - Class in org.apache.commons.rng.sampling

Factory class to create a sampler that combines sampling from multiple samplers.

CompositeSamplers.Builder<S> - Interface in org.apache.commons.rng.sampling

Builds a composite sampler.

CompositeSamplers.DiscreteProbabilitySampler - Enum in org.apache.commons.rng.sampling

The DiscreteProbabilitySampler class defines implementations that sample from a user-defined discrete probability distribution.

CompositeSamplers.DiscreteProbabilitySamplerFactory - Interface in org.apache.commons.rng.sampling

A factory for creating a sampler of a user-defined discrete probability distribution.

ContinuousInverseCumulativeProbabilityFunction - Interface in org.apache.commons.rng.sampling.distribution

Interface for a continuous distribution that can be sampled using the inversion method.

ContinuousSampler - Interface in org.apache.commons.rng.sampling.distribution

Sampler that generates values of type double.

ContinuousUniformSampler - Class in org.apache.commons.rng.sampling.distribution

Sampling from a uniform distribution.

ContinuousUniformSampler(UniformRandomProvider, double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.ContinuousUniformSampler

create(UniformRandomProvider, double[]) - Method in interface org.apache.commons.rng.sampling.CompositeSamplers.DiscreteProbabilitySamplerFactory

Creates the sampler.

createPoissonSampler(UniformRandomProvider, double) - Method in class org.apache.commons.rng.sampling.distribution.PoissonSamplerCache

Deprecated.

Use PoissonSamplerCache.createSharedStateSampler(UniformRandomProvider, double).

createSample(double, double) - Method in class org.apache.commons.rng.sampling.shape.LineSampler

Creates the sample given the random variate u in the interval [0, 1].

createSample(double, double, double) - Method in class org.apache.commons.rng.sampling.shape.TriangleSampler

Creates the sample given the random variates s and t in the interval [0, 1] and s + t <= 1.

createSharedStateSampler(UniformRandomProvider, double) - Method in class org.apache.commons.rng.sampling.distribution.PoissonSamplerCache

Creates a new Poisson sampler.

D

DirichletSampler - Class in org.apache.commons.rng.sampling.distribution

Sampling from a Dirichlet distribution.

DiscreteInverseCumulativeProbabilityFunction - Interface in org.apache.commons.rng.sampling.distribution

Interface for a discrete distribution that can be sampled using the inversion method.

DiscreteProbabilityCollectionSampler<T> - Class in org.apache.commons.rng.sampling

Sampling from a collection of items with user-defined probabilities.

DiscreteProbabilityCollectionSampler(UniformRandomProvider, List<T>, double[]) - Constructor for class org.apache.commons.rng.sampling.DiscreteProbabilityCollectionSampler

Creates a sampler.

DiscreteProbabilityCollectionSampler(UniformRandomProvider, Map<T, Double>) - Constructor for class org.apache.commons.rng.sampling.DiscreteProbabilityCollectionSampler

Creates a sampler.

DiscreteSampler - Interface in org.apache.commons.rng.sampling.distribution

Sampler that generates values of type int.

DiscreteUniformSampler - Class in org.apache.commons.rng.sampling.distribution

Discrete uniform distribution sampler.

DiscreteUniformSampler(UniformRandomProvider, int, int) - Constructor for class org.apache.commons.rng.sampling.distribution.DiscreteUniformSampler

This instance delegates sampling.

G

GaussianSampler - Class in org.apache.commons.rng.sampling.distribution

Sampling from a Gaussian distribution with given mean and standard deviation.

GaussianSampler(NormalizedGaussianSampler, double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.GaussianSampler

GeometricSampler - Class in org.apache.commons.rng.sampling.distribution

Sampling from a geometric distribution.

getK() - Method in class org.apache.commons.rng.sampling.distribution.DirichletSampler

Gets the number of categories.

getMaxMean() - Method in class org.apache.commons.rng.sampling.distribution.PoissonSamplerCache

Gets the maximum mean covered by the cache.

getMinimumCachedMean() - Static method in class org.apache.commons.rng.sampling.distribution.PoissonSamplerCache

Gets the minimum mean value that can be cached.

getMinMean() - Method in class org.apache.commons.rng.sampling.distribution.PoissonSamplerCache

Gets the minimum mean covered by the cache.

GUIDE_TABLE - org.apache.commons.rng.sampling.CompositeSamplers.DiscreteProbabilitySampler

Sample using a guide table (see GuideTableDiscreteSampler).

GuideTableDiscreteSampler - Class in org.apache.commons.rng.sampling.distribution

Compute a sample from n values each with an associated probability.

I

inverseCumulativeProbability(double) - Method in interface org.apache.commons.rng.sampling.distribution.ContinuousInverseCumulativeProbabilityFunction

Computes the quantile function of the distribution.

inverseCumulativeProbability(double) - Method in interface org.apache.commons.rng.sampling.distribution.DiscreteInverseCumulativeProbabilityFunction

Computes the quantile function of the distribution.

InverseTransformContinuousSampler - Class in org.apache.commons.rng.sampling.distribution

Distribution sampler that uses the inversion method.

InverseTransformContinuousSampler(UniformRandomProvider, ContinuousInverseCumulativeProbabilityFunction) - Constructor for class org.apache.commons.rng.sampling.distribution.InverseTransformContinuousSampler

InverseTransformDiscreteSampler - Class in org.apache.commons.rng.sampling.distribution

Distribution sampler that uses the inversion method.

InverseTransformDiscreteSampler(UniformRandomProvider, DiscreteInverseCumulativeProbabilityFunction) - Constructor for class org.apache.commons.rng.sampling.distribution.InverseTransformDiscreteSampler

InverseTransformParetoSampler - Class in org.apache.commons.rng.sampling.distribution

Sampling from a Pareto distribution.

InverseTransformParetoSampler(UniformRandomProvider, double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.InverseTransformParetoSampler

isValidRange() - Method in class org.apache.commons.rng.sampling.distribution.PoissonSamplerCache

Checks if the cache covers a valid range of mean values.

K

KempSmallMeanPoissonSampler - Class in org.apache.commons.rng.sampling.distribution

Sampler for the Poisson distribution.

L

LargeMeanPoissonSampler - Class in org.apache.commons.rng.sampling.distribution

Sampler for the Poisson distribution.

LargeMeanPoissonSampler(UniformRandomProvider, double) - Constructor for class org.apache.commons.rng.sampling.distribution.LargeMeanPoissonSampler

LevySampler - Class in org.apache.commons.rng.sampling.distribution

Sampling from a Lévy distribution.

LineSampler - Class in org.apache.commons.rng.sampling.shape

Generate points uniformly distributed on a line.

ListSampler - Class in org.apache.commons.rng.sampling

Sampling from a List.

LogNormalSampler - Class in org.apache.commons.rng.sampling.distribution

Sampling from a log-normal distribution.

LogNormalSampler(NormalizedGaussianSampler, double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.LogNormalSampler

LongSampler - Interface in org.apache.commons.rng.sampling.distribution

Sampler that generates values of type long.

LOOKUP_TABLE - org.apache.commons.rng.sampling.CompositeSamplers.DiscreteProbabilitySampler

Sample using an optimised look-up table (see MarsagliaTsangWangDiscreteSampler.Enumerated).

M

MarsagliaNormalizedGaussianSampler - Class in org.apache.commons.rng.sampling.distribution

Marsaglia polar method for sampling from a Gaussian distribution with mean 0 and standard deviation 1.

MarsagliaNormalizedGaussianSampler(UniformRandomProvider) - Constructor for class org.apache.commons.rng.sampling.distribution.MarsagliaNormalizedGaussianSampler

MarsagliaTsangWangDiscreteSampler - Class in org.apache.commons.rng.sampling.distribution

Sampler for a discrete distribution using an optimised look-up table.

MarsagliaTsangWangDiscreteSampler.Binomial - Class in org.apache.commons.rng.sampling.distribution

Create a sampler for the Binomial distribution.

MarsagliaTsangWangDiscreteSampler.Enumerated - Class in org.apache.commons.rng.sampling.distribution

Create a sampler for an enumerated distribution of n values each with an associated probability.

MarsagliaTsangWangDiscreteSampler.Poisson - Class in org.apache.commons.rng.sampling.distribution

Create a sampler for the Poisson distribution.

N

natural(int) - Static method in class org.apache.commons.rng.sampling.PermutationSampler

Creates an array representing the natural number n.

newContinuousSamplerBuilder() - Static method in class org.apache.commons.rng.sampling.CompositeSamplers

Create a new builder for a composite ContinuousSampler.

newDiscreteSamplerBuilder() - Static method in class org.apache.commons.rng.sampling.CompositeSamplers

Create a new builder for a composite DiscreteSampler.

newLongSamplerBuilder() - Static method in class org.apache.commons.rng.sampling.CompositeSamplers

Create a new builder for a composite LongSampler.

newObjectSamplerBuilder() - Static method in class org.apache.commons.rng.sampling.CompositeSamplers

Create a new builder for a composite ObjectSampler.

newSharedStateContinuousSamplerBuilder() - Static method in class org.apache.commons.rng.sampling.CompositeSamplers

Create a new builder for a composite SharedStateContinuousSampler.

newSharedStateDiscreteSamplerBuilder() - Static method in class org.apache.commons.rng.sampling.CompositeSamplers

Create a new builder for a composite SharedStateDiscreteSampler.

newSharedStateLongSamplerBuilder() - Static method in class org.apache.commons.rng.sampling.CompositeSamplers

Create a new builder for a composite SharedStateLongSampler.

newSharedStateObjectSamplerBuilder() - Static method in class org.apache.commons.rng.sampling.CompositeSamplers

Create a new builder for a composite SharedStateObjectSampler.

nextDouble() - Method in class org.apache.commons.rng.sampling.distribution.SamplerBase

Deprecated.

nextGamma(int) - Method in class org.apache.commons.rng.sampling.distribution.DirichletSampler

Create a gamma sample for the given category.

nextInt() - Method in class org.apache.commons.rng.sampling.distribution.SamplerBase

Deprecated.

nextInt(int) - Method in class org.apache.commons.rng.sampling.distribution.SamplerBase

Deprecated.

nextLong() - Method in class org.apache.commons.rng.sampling.distribution.SamplerBase

Deprecated.

nextVector() - Method in class org.apache.commons.rng.sampling.UnitSphereSampler

Deprecated.

Use UnitSphereSampler.sample().

NormalizedGaussianSampler - Interface in org.apache.commons.rng.sampling.distribution

Marker interface for a sampler that generates values from an N(0,1) Gaussian distribution.

O

ObjectSampler<T> - Interface in org.apache.commons.rng.sampling

Sampler that generates values of a specified type.

of(NormalizedGaussianSampler, double, double) - Static method in class org.apache.commons.rng.sampling.distribution.GaussianSampler

Create a new normalised Gaussian sampler.

of(NormalizedGaussianSampler, double, double) - Static method in class org.apache.commons.rng.sampling.distribution.LogNormalSampler

Create a new log-normal distribution sampler.

of(UniformRandomProvider) - Static method in class org.apache.commons.rng.sampling.distribution.BoxMullerNormalizedGaussianSampler

Create a new normalised Gaussian sampler.

of(UniformRandomProvider) - Static method in class org.apache.commons.rng.sampling.distribution.MarsagliaNormalizedGaussianSampler

Create a new normalised Gaussian sampler.

of(UniformRandomProvider) - Static method in class org.apache.commons.rng.sampling.distribution.ZigguratNormalizedGaussianSampler

Create a new normalised Gaussian sampler.

of(UniformRandomProvider) - Static method in class org.apache.commons.rng.sampling.distribution.ZigguratSampler.Exponential

Create a new exponential sampler with mean = 1.

of(UniformRandomProvider) - Static method in class org.apache.commons.rng.sampling.distribution.ZigguratSampler.NormalizedGaussian

Create a new normalised Gaussian sampler.

of(UniformRandomProvider, double) - Static method in class org.apache.commons.rng.sampling.distribution.AhrensDieterExponentialSampler

Create a new exponential distribution sampler.

of(UniformRandomProvider, double) - Static method in class org.apache.commons.rng.sampling.distribution.GeometricSampler

Creates a new geometric distribution sampler.

of(UniformRandomProvider, double) - Static method in class org.apache.commons.rng.sampling.distribution.KempSmallMeanPoissonSampler

Creates a new sampler for the Poisson distribution.

of(UniformRandomProvider, double) - Static method in class org.apache.commons.rng.sampling.distribution.LargeMeanPoissonSampler

Creates a new Poisson distribution sampler.

of(UniformRandomProvider, double) - Static method in class org.apache.commons.rng.sampling.distribution.MarsagliaTsangWangDiscreteSampler.Poisson

Creates a sampler for the Poisson distribution.

of(UniformRandomProvider, double) - Static method in class org.apache.commons.rng.sampling.distribution.PoissonSampler

Creates a new Poisson distribution sampler.

of(UniformRandomProvider, double) - Static method in class org.apache.commons.rng.sampling.distribution.SmallMeanPoissonSampler

Creates a new sampler for the Poisson distribution.

of(UniformRandomProvider, double) - Static method in class org.apache.commons.rng.sampling.distribution.ZigguratSampler.Exponential

Create a new exponential sampler with the specified mean.

of(UniformRandomProvider, double[]) - Static method in class org.apache.commons.rng.sampling.distribution.AliasMethodDiscreteSampler

Creates a sampler.

of(UniformRandomProvider, double...) - Static method in class org.apache.commons.rng.sampling.distribution.DirichletSampler

Creates a new Dirichlet distribution sampler.

of(UniformRandomProvider, double[]) - Static method in class org.apache.commons.rng.sampling.distribution.GuideTableDiscreteSampler

Create a new sampler for an enumerated distribution using the given probabilities.

of(UniformRandomProvider, double[]) - Static method in class org.apache.commons.rng.sampling.distribution.MarsagliaTsangWangDiscreteSampler.Enumerated

Creates a sampler for an enumerated distribution of n values each with an associated probability.

of(UniformRandomProvider, double[], double) - Static method in class org.apache.commons.rng.sampling.distribution.GuideTableDiscreteSampler

Create a new sampler for an enumerated distribution using the given probabilities.

of(UniformRandomProvider, double[], double[]) - Static method in class org.apache.commons.rng.sampling.shape.BoxSampler

Create a box sampler with bounds a and b.

of(UniformRandomProvider, double[], double[]) - Static method in class org.apache.commons.rng.sampling.shape.LineSampler

Create a line sampler with vertices a and b.

of(UniformRandomProvider, double[], double[], double[]) - Static method in class org.apache.commons.rng.sampling.shape.TriangleSampler

Create a triangle sampler with vertices a, b and c.

of(UniformRandomProvider, double[], double[], double[], double[]) - Static method in class org.apache.commons.rng.sampling.shape.TetrahedronSampler

Create a tetrahedron sampler with vertices a, b, c and d.

of(UniformRandomProvider, double[], int) - Static method in class org.apache.commons.rng.sampling.distribution.AliasMethodDiscreteSampler

Creates a sampler.

of(UniformRandomProvider, double, double) - Static method in class org.apache.commons.rng.sampling.distribution.AhrensDieterMarsagliaTsangGammaSampler

Creates a new gamma distribution sampler.

of(UniformRandomProvider, double, double) - Static method in class org.apache.commons.rng.sampling.distribution.ChengBetaSampler

Creates a new beta distribution sampler.

of(UniformRandomProvider, double, double) - Static method in class org.apache.commons.rng.sampling.distribution.ContinuousUniformSampler

Creates a new continuous uniform distribution sampler.

of(UniformRandomProvider, double, double) - Static method in class org.apache.commons.rng.sampling.distribution.InverseTransformParetoSampler

Creates a new Pareto distribution sampler.

of(UniformRandomProvider, double, double) - Static method in class org.apache.commons.rng.sampling.distribution.LevySampler

Create a new Lévy distribution sampler.

of(UniformRandomProvider, double, double) - Static method in class org.apache.commons.rng.sampling.distribution.StableSampler

Creates a standardized sampler of a stable distribution with zero location and unit scale.

of(UniformRandomProvider, double, double, boolean) - Static method in class org.apache.commons.rng.sampling.distribution.ContinuousUniformSampler

Creates a new continuous uniform distribution sampler.

of(UniformRandomProvider, double, double, double, double) - Static method in class org.apache.commons.rng.sampling.distribution.StableSampler

Creates a sampler of a stable distribution.

of(UniformRandomProvider, int) - Static method in class org.apache.commons.rng.sampling.shape.UnitBallSampler

Create a unit n-ball sampler for the given dimension.

of(UniformRandomProvider, int) - Static method in class org.apache.commons.rng.sampling.UnitSphereSampler

Create a unit sphere sampler for the given dimension.

of(UniformRandomProvider, int, double) - Static method in class org.apache.commons.rng.sampling.distribution.MarsagliaTsangWangDiscreteSampler.Binomial

Creates a sampler for the Binomial distribution.

of(UniformRandomProvider, int, double) - Static method in class org.apache.commons.rng.sampling.distribution.RejectionInversionZipfSampler

Creates a new Zipf distribution sampler.

of(UniformRandomProvider, int, int) - Static method in class org.apache.commons.rng.sampling.distribution.DiscreteUniformSampler

Creates a new discrete uniform distribution sampler.

of(UniformRandomProvider, long, long) - Static method in class org.apache.commons.rng.sampling.distribution.UniformLongSampler

Creates a new discrete uniform distribution sampler.

of(UniformRandomProvider, ContinuousInverseCumulativeProbabilityFunction) - Static method in class org.apache.commons.rng.sampling.distribution.InverseTransformContinuousSampler

Create a new inverse-transform continuous sampler.

of(UniformRandomProvider, DiscreteInverseCumulativeProbabilityFunction) - Static method in class org.apache.commons.rng.sampling.distribution.InverseTransformDiscreteSampler

Create a new inverse-transform discrete sampler.

org.apache.commons.rng.sampling - package org.apache.commons.rng.sampling

Samplers

org.apache.commons.rng.sampling.distribution - package org.apache.commons.rng.sampling.distribution

Distribution samplers

org.apache.commons.rng.sampling.shape - package org.apache.commons.rng.sampling.shape

Shape samplers

P

PermutationSampler - Class in org.apache.commons.rng.sampling

Class for representing permutations of a sequence of integers.

PermutationSampler(UniformRandomProvider, int, int) - Constructor for class org.apache.commons.rng.sampling.PermutationSampler

Creates a generator of permutations.

PoissonSampler - Class in org.apache.commons.rng.sampling.distribution

Sampler for the Poisson distribution.

PoissonSampler(UniformRandomProvider, double) - Constructor for class org.apache.commons.rng.sampling.distribution.PoissonSampler

This instance delegates sampling.

PoissonSamplerCache - Class in org.apache.commons.rng.sampling.distribution

Create a sampler for the Poisson distribution using a cache to minimise construction cost.

PoissonSamplerCache(double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.PoissonSamplerCache

probability - Variable in class org.apache.commons.rng.sampling.distribution.AliasMethodDiscreteSampler

The probability table.

R

RejectionInversionZipfSampler - Class in org.apache.commons.rng.sampling.distribution

Implementation of the Zipf distribution.

RejectionInversionZipfSampler(UniformRandomProvider, int, double) - Constructor for class org.apache.commons.rng.sampling.distribution.RejectionInversionZipfSampler

rng - Variable in class org.apache.commons.rng.sampling.distribution.AliasMethodDiscreteSampler

Underlying source of randomness.

rng - Variable in class org.apache.commons.rng.sampling.distribution.UniformLongSampler

Underlying source of randomness.

S

sample() - Method in class org.apache.commons.rng.sampling.CollectionSampler

Picks one of the items from the collection passed to the constructor.

sample() - Method in class org.apache.commons.rng.sampling.CombinationSampler

Return a combination of k whose entries are selected randomly, without repetition, from the integers 0, 1, ..., n-1 (inclusive).

sample() - Method in class org.apache.commons.rng.sampling.DiscreteProbabilityCollectionSampler

Picks one of the items from the collection passed to the constructor.

sample() - Method in class org.apache.commons.rng.sampling.distribution.AhrensDieterExponentialSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.AhrensDieterMarsagliaTsangGammaSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.AliasMethodDiscreteSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.BoxMullerGaussianSampler

Deprecated.

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.BoxMullerLogNormalSampler

Deprecated.

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.BoxMullerNormalizedGaussianSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.ChengBetaSampler

Creates a sample.

sample() - Method in interface org.apache.commons.rng.sampling.distribution.ContinuousSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.ContinuousUniformSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.DirichletSampler

sample() - Method in interface org.apache.commons.rng.sampling.distribution.DiscreteSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.DiscreteUniformSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.GaussianSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.GuideTableDiscreteSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.InverseTransformContinuousSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.InverseTransformDiscreteSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.InverseTransformParetoSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.KempSmallMeanPoissonSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.LargeMeanPoissonSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.LevySampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.LogNormalSampler

Creates a sample.

sample() - Method in interface org.apache.commons.rng.sampling.distribution.LongSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.MarsagliaNormalizedGaussianSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.PoissonSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.RejectionInversionZipfSampler

Rejection inversion sampling method for a discrete, bounded Zipf distribution that is based on the method described in Wolfgang Hörmann and Gerhard Derflinger.

sample() - Method in class org.apache.commons.rng.sampling.distribution.SmallMeanPoissonSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.StableSampler

Generate a sample from a stable distribution.

sample() - Method in class org.apache.commons.rng.sampling.distribution.ZigguratNormalizedGaussianSampler

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.ZigguratSampler.Exponential

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.ZigguratSampler.NormalizedGaussian

Creates a sample.

sample() - Method in interface org.apache.commons.rng.sampling.ObjectSampler

Create a sample.

sample() - Method in class org.apache.commons.rng.sampling.PermutationSampler

sample() - Method in class org.apache.commons.rng.sampling.shape.BoxSampler

sample() - Method in class org.apache.commons.rng.sampling.shape.LineSampler

sample() - Method in class org.apache.commons.rng.sampling.shape.TetrahedronSampler

sample() - Method in class org.apache.commons.rng.sampling.shape.TriangleSampler

sample() - Method in class org.apache.commons.rng.sampling.shape.UnitBallSampler

sample() - Method in class org.apache.commons.rng.sampling.UnitSphereSampler

sample(UniformRandomProvider, List<T>, int) - Static method in class org.apache.commons.rng.sampling.ListSampler

Generates a list of size k whose entries are selected randomly, without repetition, from the items in the given collection.

SamplerBase - Class in org.apache.commons.rng.sampling.distribution

Deprecated.

Since version 1.1. Class intended for internal use only.

SamplerBase(UniformRandomProvider) - Constructor for class org.apache.commons.rng.sampling.distribution.SamplerBase

Deprecated.

setFactory(CompositeSamplers.DiscreteProbabilitySamplerFactory) - Method in interface org.apache.commons.rng.sampling.CompositeSamplers.Builder

Sets the factory to use to generate the composite's discrete sampler from the sampler weights.

SharedStateContinuousSampler - Interface in org.apache.commons.rng.sampling.distribution

Sampler that generates values of type double and can create new instances to sample from the same state with a given source of randomness.

SharedStateDiscreteSampler - Interface in org.apache.commons.rng.sampling.distribution

Sampler that generates values of type int and can create new instances to sample from the same state with a given source of randomness.

SharedStateLongSampler - Interface in org.apache.commons.rng.sampling.distribution

Sampler that generates values of type long and can create new instances to sample from the same state with a given source of randomness.

SharedStateObjectSampler<T> - Interface in org.apache.commons.rng.sampling

Sampler that generates values of a specified type and can create new instances to sample from the same state with a given source of randomness.

SharedStateSampler<R> - Interface in org.apache.commons.rng.sampling

Applies to samplers that can share state between instances.

shuffle(UniformRandomProvider, int[]) - Static method in class org.apache.commons.rng.sampling.PermutationSampler

Shuffles the entries of the given array.

shuffle(UniformRandomProvider, int[], int, boolean) - Static method in class org.apache.commons.rng.sampling.PermutationSampler

Shuffles the entries of the given array, using the Fisher-Yates algorithm.

shuffle(UniformRandomProvider, List<T>) - Static method in class org.apache.commons.rng.sampling.ListSampler

Shuffles the entries of the given array, using the Fisher-Yates algorithm.

shuffle(UniformRandomProvider, List<T>, int, boolean) - Static method in class org.apache.commons.rng.sampling.ListSampler

Shuffles the entries of the given array, using the Fisher-Yates algorithm.

size() - Method in interface org.apache.commons.rng.sampling.CompositeSamplers.Builder

Return the number of samplers in the composite.

SmallMeanPoissonSampler - Class in org.apache.commons.rng.sampling.distribution

Sampler for the Poisson distribution.

SmallMeanPoissonSampler(UniformRandomProvider, double) - Constructor for class org.apache.commons.rng.sampling.distribution.SmallMeanPoissonSampler

StableSampler - Class in org.apache.commons.rng.sampling.distribution

Samples from a stable distribution.

symmetric(UniformRandomProvider, int, double) - Static method in class org.apache.commons.rng.sampling.distribution.DirichletSampler

Creates a new symmetric Dirichlet distribution sampler using the same concentration parameter for each category.

T

TetrahedronSampler - Class in org.apache.commons.rng.sampling.shape

Generate points uniformly distributed within a tetrahedron.

toString() - Method in class org.apache.commons.rng.sampling.distribution.AhrensDieterExponentialSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.AhrensDieterMarsagliaTsangGammaSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.AliasMethodDiscreteSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.BoxMullerGaussianSampler

Deprecated.

toString() - Method in class org.apache.commons.rng.sampling.distribution.BoxMullerLogNormalSampler

Deprecated.

toString() - Method in class org.apache.commons.rng.sampling.distribution.BoxMullerNormalizedGaussianSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.ChengBetaSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.ContinuousUniformSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.DirichletSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.DiscreteUniformSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.GaussianSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.GuideTableDiscreteSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.InverseTransformContinuousSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.InverseTransformDiscreteSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.InverseTransformParetoSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.KempSmallMeanPoissonSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.LargeMeanPoissonSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.LevySampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.LogNormalSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.MarsagliaNormalizedGaussianSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.PoissonSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.RejectionInversionZipfSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.SamplerBase

Deprecated.

toString() - Method in class org.apache.commons.rng.sampling.distribution.SmallMeanPoissonSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.StableSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.UniformLongSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.ZigguratNormalizedGaussianSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.ZigguratSampler.Exponential

toString() - Method in class org.apache.commons.rng.sampling.distribution.ZigguratSampler.NormalizedGaussian

TriangleSampler - Class in org.apache.commons.rng.sampling.shape

Generate points uniformly distributed within a triangle.

U

UniformLongSampler - Class in org.apache.commons.rng.sampling.distribution

Discrete uniform distribution sampler generating values of type long.

UnitBallSampler - Class in org.apache.commons.rng.sampling.shape

Generate coordinates uniformly distributed within the unit n-ball.

UnitBallSampler() - Constructor for class org.apache.commons.rng.sampling.shape.UnitBallSampler

UnitSphereSampler - Class in org.apache.commons.rng.sampling

Generate vectors isotropically located on the surface of a sphere.

UnitSphereSampler(int, UniformRandomProvider) - Constructor for class org.apache.commons.rng.sampling.UnitSphereSampler

Deprecated.

Use UnitSphereSampler.of(UniformRandomProvider, int).

V

valueOf(String) - Static method in enum org.apache.commons.rng.sampling.CompositeSamplers.DiscreteProbabilitySampler

Returns the enum constant of this type with the specified name.

values() - Static method in enum org.apache.commons.rng.sampling.CompositeSamplers.DiscreteProbabilitySampler

Returns an array containing the constants of this enum type, in the order they are declared.

W

withinRange(double) - Method in class org.apache.commons.rng.sampling.distribution.PoissonSamplerCache

Check if the mean is within the range where the cache can minimise the construction cost of the PoissonSampler.

withRange(double, double) - Method in class org.apache.commons.rng.sampling.distribution.PoissonSamplerCache

Create a new PoissonSamplerCache with the given range reusing the current cache values.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.CollectionSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.CombinationSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.DiscreteProbabilityCollectionSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.AhrensDieterExponentialSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.AhrensDieterMarsagliaTsangGammaSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.AliasMethodDiscreteSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.BoxMullerNormalizedGaussianSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.ChengBetaSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.ContinuousUniformSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.DirichletSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.DiscreteUniformSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.GaussianSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.GuideTableDiscreteSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.InverseTransformContinuousSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.InverseTransformDiscreteSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.InverseTransformParetoSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.KempSmallMeanPoissonSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.LargeMeanPoissonSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.LevySampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.LogNormalSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.MarsagliaNormalizedGaussianSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.PoissonSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.RejectionInversionZipfSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.SmallMeanPoissonSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.StableSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.UniformLongSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.ZigguratNormalizedGaussianSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.ZigguratSampler.Exponential

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.distribution.ZigguratSampler.NormalizedGaussian

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.PermutationSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.shape.BoxSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.shape.LineSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.shape.TetrahedronSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.shape.TriangleSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.shape.UnitBallSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in interface org.apache.commons.rng.sampling.SharedStateSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

withUniformRandomProvider(UniformRandomProvider) - Method in class org.apache.commons.rng.sampling.UnitSphereSampler

Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.

Z

ZigguratNormalizedGaussianSampler - Class in org.apache.commons.rng.sampling.distribution

Marsaglia and Tsang "Ziggurat" method for sampling from a Gaussian distribution with mean 0 and standard deviation 1.

ZigguratNormalizedGaussianSampler(UniformRandomProvider) - Constructor for class org.apache.commons.rng.sampling.distribution.ZigguratNormalizedGaussianSampler

ZigguratSampler - Class in org.apache.commons.rng.sampling.distribution

Modified ziggurat method for sampling from Gaussian and exponential distributions.

ZigguratSampler.Exponential - Class in org.apache.commons.rng.sampling.distribution

Modified ziggurat method for sampling from an exponential distributions.

ZigguratSampler.NormalizedGaussian - Class in org.apache.commons.rng.sampling.distribution

Modified ziggurat method for sampling from a Gaussian distribution with mean 0 and standard deviation 1.

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