A B C D G I L M N O P R S T U W Z

A

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

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

C

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

Utility class implementing Cheng's algorithms for beta distribution sampling.

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.

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

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

Creates a new Poisson sampler.

D

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

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

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.

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.

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

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

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

N

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

Creates an array representing the natural number n.

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

Deprecated.

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

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

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

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

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

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

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.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 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.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.LargeMeanPoissonSampler

Creates a sample.

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

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.ZigguratNormalizedGaussianSampler

Creates a sample.

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

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.

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.

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.

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

T

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.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.DiscreteUniformSampler

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

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.LargeMeanPoissonSampler

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.ZigguratNormalizedGaussianSampler

U

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

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.

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

A B C D G I L M N O P R S T U W Z