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A

AbstractWell - Class in org.apache.commons.rng.core.source32

This abstract class implements the WELL class of pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.

AbstractWell(int, int[]) - Constructor for class org.apache.commons.rng.core.source32.AbstractWell

Creates an instance with the given seed.

AbstractWell.IndexTable - Class in org.apache.commons.rng.core.source32

Inner class used to store the indirection index table which is fixed for a given type of WELL class of pseudo-random number generator.

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

Create an instance.

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.

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

Utilities for shuffling an array in-place.

B

BaseProvider - Class in org.apache.commons.rng.core

Base class with default implementation for common methods.

BaseProvider() - Constructor for class org.apache.commons.rng.core.BaseProvider

Create an instance.

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.

Create an instance.

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.

Create an instance.

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

Create an instance.

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

checkIndex(int, int, int) - Method in class org.apache.commons.rng.core.BaseProvider

Checks whether index is in the range [min, max].

checkStateSize(byte[], int) - Method in class org.apache.commons.rng.core.BaseProvider

Deprecated.

Method is used internally and should be made private in some future release.

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.

composeStateInternal(byte[], byte[]) - Method in class org.apache.commons.rng.core.BaseProvider

Combine parent and subclass states.

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 an instance.

copy() - Method in class org.apache.commons.rng.core.source32.XoShiRo128Plus

Create a copy.

copy() - Method in class org.apache.commons.rng.core.source32.XoShiRo128PlusPlus

Create a copy.

copy() - Method in class org.apache.commons.rng.core.source32.XoShiRo128StarStar

Create a copy.

copy() - Method in class org.apache.commons.rng.core.source64.L64X128Mix

Create a copy.

copy() - Method in class org.apache.commons.rng.core.source64.L64X128StarStar

Create a copy.

copy() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo1024PlusPlus

Create a copy.

copy() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo1024Star

Create a copy.

copy() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo1024StarStar

Create a copy.

copy() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128Plus

Create a copy.

copy() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128PlusPlus

Create a copy.

copy() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128StarStar

Create a copy.

copy() - Method in class org.apache.commons.rng.core.source64.XorShift1024Star

Create a copy.

copy() - Method in class org.apache.commons.rng.core.source64.XorShift1024StarPhi

Create a copy.

copy() - Method in class org.apache.commons.rng.core.source64.XoShiRo256Plus

Create a copy.

copy() - Method in class org.apache.commons.rng.core.source64.XoShiRo256PlusPlus

Create a copy.

copy() - Method in class org.apache.commons.rng.core.source64.XoShiRo256StarStar

Create a copy.

copy() - Method in class org.apache.commons.rng.core.source64.XoShiRo512Plus

Create a copy.

copy() - Method in class org.apache.commons.rng.core.source64.XoShiRo512PlusPlus

Create a copy.

copy() - Method in class org.apache.commons.rng.core.source64.XoShiRo512StarStar

Create a copy.

create() - Method in enum org.apache.commons.rng.simple.RandomSource

Creates a random number generator with a random seed.

create(long, UniformRandomProvider) - Method in interface org.apache.commons.rng.core.util.RandomStreams.SeededObjectFactory

Creates the object.

create(Object, Object...) - Method in enum org.apache.commons.rng.simple.RandomSource

Creates a random number generator with the given seed.

create(RandomSource) - Static method in enum org.apache.commons.rng.simple.RandomSource

Deprecated.

It is preferred to use the RandomSource.create() instance method.

create(RandomSource, Object, Object...) - Static method in enum org.apache.commons.rng.simple.RandomSource

Deprecated.

It is preferred to use the RandomSource.create(Object, Object...) instance method.

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

Creates the sampler.

createInt() - Static method in enum org.apache.commons.rng.simple.RandomSource

Creates a number for use as a seed.

createIntArray(int) - Static method in enum org.apache.commons.rng.simple.RandomSource

Creates an array of numbers for use as a seed.

createLong() - Static method in enum org.apache.commons.rng.simple.RandomSource

Creates a number for use as a seed.

createLongArray(int) - Static method in enum org.apache.commons.rng.simple.RandomSource

Creates an array of numbers for use as a seed.

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.

createSeed() - Method in enum org.apache.commons.rng.simple.RandomSource

Creates a seed suitable for the implementing class represented by this random source.

createSeed(UniformRandomProvider) - Method in enum org.apache.commons.rng.simple.RandomSource

Creates a seed suitable for the implementing class represented by this random source using the supplied source of randomness.

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

Creates a new Poisson sampler.

current(RandomSource) - Static method in class org.apache.commons.rng.simple.ThreadLocalRandomSource

Returns the current thread's copy of the given source.

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.

DotyHumphreySmallFastCounting32 - Class in org.apache.commons.rng.core.source32

Implement the Small, Fast, Counting (SFC) 32-bit generator of Chris Doty-Humphrey.

DotyHumphreySmallFastCounting32(int[]) - Constructor for class org.apache.commons.rng.core.source32.DotyHumphreySmallFastCounting32

Creates an instance with the given seed.

DotyHumphreySmallFastCounting64 - Class in org.apache.commons.rng.core.source64

Implement the Small, Fast, Counting (SFC) 64-bit generator of Chris Doty-Humphrey.

DotyHumphreySmallFastCounting64(long[]) - Constructor for class org.apache.commons.rng.core.source64.DotyHumphreySmallFastCounting64

Creates an instance with the given seed.

doubles() - Method in interface org.apache.commons.rng.SplittableUniformRandomProvider

doubles() - Method in interface org.apache.commons.rng.UniformRandomProvider

Returns an effectively unlimited stream of double values between 0 (inclusive) and 1 (exclusive).

doubles(double, double) - Method in interface org.apache.commons.rng.SplittableUniformRandomProvider

doubles(double, double) - Method in interface org.apache.commons.rng.UniformRandomProvider

Returns an effectively unlimited stream of double values between the specified origin (inclusive) and the specified bound (exclusive).

doubles(long) - Method in interface org.apache.commons.rng.SplittableUniformRandomProvider

doubles(long) - Method in interface org.apache.commons.rng.UniformRandomProvider

Returns a stream producing the given streamSize number of double values between 0 (inclusive) and 1 (exclusive).

doubles(long, double, double) - Method in interface org.apache.commons.rng.SplittableUniformRandomProvider

doubles(long, double, double) - Method in interface org.apache.commons.rng.UniformRandomProvider

Returns a stream producing the given streamSize number of double values between the specified origin (inclusive) and the specified bound (exclusive).

E

extendSeed(int[], int) - Static method in class org.apache.commons.rng.core.BaseProvider

Extend the seed to the specified minimum length.

extendSeed(long[], int) - Static method in class org.apache.commons.rng.core.BaseProvider

Extend the seed to the specified minimum length.

extractHi(long) - Static method in class org.apache.commons.rng.core.util.NumberFactory

Creates an int from a long, using the high order bits.

extractLo(long) - Static method in class org.apache.commons.rng.core.util.NumberFactory

Creates an int from a long, using the low order bits.

F

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

Distribution sampler that uses the Fast Loaded Dice Roller (FLDR).

fillState(int[], int[]) - Method in class org.apache.commons.rng.core.BaseProvider

Simple filling procedure.

fillState(long[], long[]) - Method in class org.apache.commons.rng.core.BaseProvider

Simple filling procedure.

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

Create an instance.

generateWithSeed(long, SplittableUniformRandomProvider, RandomStreams.SeededObjectFactory<T>) - Static method in class org.apache.commons.rng.core.util.RandomStreams

Returns a stream producing the given streamSize number of new objects generated using the supplied source of randomness and object factory.

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

Sampling from a geometric distribution.

getIndexM1(int) - Method in class org.apache.commons.rng.core.source32.AbstractWell.IndexTable

Returns index + M1 modulo the table size.

getIndexM2(int) - Method in class org.apache.commons.rng.core.source32.AbstractWell.IndexTable

Returns index + M2 modulo the table size.

getIndexM3(int) - Method in class org.apache.commons.rng.core.source32.AbstractWell.IndexTable

Returns index + M3 modulo the table size.

getIndexPred(int) - Method in class org.apache.commons.rng.core.source32.AbstractWell.IndexTable

Returns the predecessor of the given index modulo the table size.

getIndexPred2(int) - Method in class org.apache.commons.rng.core.source32.AbstractWell.IndexTable

Returns the second predecessor of the given index modulo the table size.

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.

getState() - Method in class org.apache.commons.rng.core.RandomProviderDefaultState

Get the state.

getStateInternal() - Method in class org.apache.commons.rng.core.BaseProvider

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source32.AbstractWell

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source32.DotyHumphreySmallFastCounting32

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source32.IntProvider

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source32.ISAACRandom

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source32.JDKRandom

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source32.JenkinsSmallFast32

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source32.KISSRandom

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source32.L32X64Mix

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source32.MersenneTwister

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source32.MiddleSquareWeylSequence

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source32.MultiplyWithCarry256

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source64.DotyHumphreySmallFastCounting64

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source64.JenkinsSmallFast64

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source64.L128X1024Mix

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source64.L128X128Mix

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source64.L128X256Mix

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source64.L64X1024Mix

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source64.L64X256Mix

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source64.LongProvider

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source64.MersenneTwister64

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source64.PcgRxsMXs64

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source64.SplitMix64

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source64.TwoCmres

Creates a snapshot of the RNG state.

getStateInternal() - Method in class org.apache.commons.rng.core.source64.XorShift1024Star

Creates a snapshot of the RNG state.

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

index - Variable in class org.apache.commons.rng.core.source32.AbstractWell

Current index in the bytes pool.

IndexTable(int, int, int, int) - Constructor for class org.apache.commons.rng.core.source32.AbstractWell.IndexTable

Creates a new pre-calculated indirection index table.

IntProvider - Class in org.apache.commons.rng.core.source32

Base class for all implementations that provide an int-based source randomness.

IntProvider() - Constructor for class org.apache.commons.rng.core.source32.IntProvider

Creates a new instance.

IntProvider(IntProvider) - Constructor for class org.apache.commons.rng.core.source32.IntProvider

Creates a new instance copying the state from the source.

ints() - Method in interface org.apache.commons.rng.SplittableUniformRandomProvider

ints() - Method in interface org.apache.commons.rng.UniformRandomProvider

Returns an effectively unlimited stream of int values.

ints(int, int) - Method in interface org.apache.commons.rng.SplittableUniformRandomProvider

ints(int, int) - Method in interface org.apache.commons.rng.UniformRandomProvider

Returns an effectively unlimited stream of int values between the specified origin (inclusive) and the specified bound (exclusive).

ints(long) - Method in interface org.apache.commons.rng.SplittableUniformRandomProvider

ints(long) - Method in interface org.apache.commons.rng.UniformRandomProvider

Returns a stream producing the given streamSize number of int values.

ints(long, int, int) - Method in interface org.apache.commons.rng.SplittableUniformRandomProvider

ints(long, int, int) - Method in interface org.apache.commons.rng.UniformRandomProvider

Returns a stream producing the given streamSize number of int values between the specified origin (inclusive) and the specified bound (exclusive).

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

Create an instance.

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

Create an instance.

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

Create an instance.

ISAAC - org.apache.commons.rng.simple.RandomSource

Source of randomness is ISAACRandom.

ISAACRandom - Class in org.apache.commons.rng.core.source32

A fast cryptographic pseudo-random number generator.

ISAACRandom(int[]) - Constructor for class org.apache.commons.rng.core.source32.ISAACRandom

Creates a new ISAAC random number generator.

isJumpable() - Method in enum org.apache.commons.rng.simple.RandomSource

Checks whether the implementing class represented by this random source supports the JumpableUniformRandomProvider interface.

isLongJumpable() - Method in enum org.apache.commons.rng.simple.RandomSource

Checks whether the implementing class represented by this random source supports the LongJumpableUniformRandomProvider interface.

isNativeSeed(Object) - Method in enum org.apache.commons.rng.simple.RandomSource

Checks whether the type of given seed is the native type of the implementation.

isSplittable() - Method in enum org.apache.commons.rng.simple.RandomSource

Checks whether the implementing class represented by this random source supports the SplittableUniformRandomProvider interface.

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

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

J

JDK - org.apache.commons.rng.simple.RandomSource

Source of randomness is JDKRandom.

JDKRandom - Class in org.apache.commons.rng.core.source32

A provider that uses the Random.nextInt() method of the JDK's Random class as the source of randomness.

JDKRandom(Long) - Constructor for class org.apache.commons.rng.core.source32.JDKRandom

Creates an instance with the given seed.

JDKRandomBridge - Class in org.apache.commons.rng.simple

Subclass of Random that delegates to a RestorableUniformRandomProvider instance but will otherwise rely on the base class for generating all the random types.

JDKRandomBridge(RandomSource, Object) - Constructor for class org.apache.commons.rng.simple.JDKRandomBridge

Creates a new instance.

JDKRandomWrapper - Class in org.apache.commons.rng.simple

Wraps a Random instance to implement UniformRandomProvider.

JDKRandomWrapper(Random) - Constructor for class org.apache.commons.rng.simple.JDKRandomWrapper

Create a wrapper around a Random instance.

JenkinsSmallFast32 - Class in org.apache.commons.rng.core.source32

Implement Bob Jenkins's small fast (JSF) 32-bit generator.

JenkinsSmallFast32(Integer) - Constructor for class org.apache.commons.rng.core.source32.JenkinsSmallFast32

Creates an instance with the given seed.

JenkinsSmallFast64 - Class in org.apache.commons.rng.core.source64

Implement Bob Jenkins's small fast (JSF) 64-bit generator.

JenkinsSmallFast64(Long) - Constructor for class org.apache.commons.rng.core.source64.JenkinsSmallFast64

Creates an instance with the given seed.

JSF_32 - org.apache.commons.rng.simple.RandomSource

Source of randomness is JenkinsSmallFast32.

JSF_64 - org.apache.commons.rng.simple.RandomSource

Source of randomness is JenkinsSmallFast64.

jump() - Method in class org.apache.commons.rng.core.source32.L32X64Mix

Creates a copy of the UniformRandomProvider and then retreats the state of the current instance.

jump() - Method in class org.apache.commons.rng.core.source64.L128X1024Mix

Creates a copy of the UniformRandomProvider and then retreats the state of the current instance.

jump() - Method in class org.apache.commons.rng.core.source64.L128X128Mix

Creates a copy of the UniformRandomProvider and then retreats the state of the current instance.

jump() - Method in class org.apache.commons.rng.core.source64.L128X256Mix

Creates a copy of the UniformRandomProvider and then retreats the state of the current instance.

jump() - Method in class org.apache.commons.rng.core.source64.L64X1024Mix

Creates a copy of the UniformRandomProvider and then retreats the state of the current instance.

jump() - Method in class org.apache.commons.rng.core.source64.L64X256Mix

Creates a copy of the UniformRandomProvider and then retreats the state of the current instance.

jump() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128PlusPlus

Creates a copy of the UniformRandomProvider and then advances the state of the current instance.

jump() - Method in class org.apache.commons.rng.core.source64.XorShift1024Star

Creates a copy of the UniformRandomProvider and then advances the state of the current instance.

jump() - Method in interface org.apache.commons.rng.JumpableUniformRandomProvider

Creates a copy of the UniformRandomProvider and then advances the state of the current instance.

JumpableUniformRandomProvider - Interface in org.apache.commons.rng

Applies to generators that can be advanced a large number of steps of the output sequence in a single operation.

jumps() - Method in interface org.apache.commons.rng.JumpableUniformRandomProvider

Returns an effectively unlimited stream of new random generators, each of which implements the UniformRandomProvider interface.

jumps(long) - Method in interface org.apache.commons.rng.JumpableUniformRandomProvider

Returns a stream producing the given streamSize number of new random generators, each of which implements the UniformRandomProvider interface.

K

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

Sampler for the Poisson distribution.

KISS - org.apache.commons.rng.simple.RandomSource

Source of randomness is KISSRandom.

KISSRandom - Class in org.apache.commons.rng.core.source32

Port from Marsaglia's "KISS" algorithm.

KISSRandom(int[]) - Constructor for class org.apache.commons.rng.core.source32.KISSRandom

Creates a new instance.

L

L128_X1024_MIX - org.apache.commons.rng.simple.RandomSource

Source of randomness is L128X1024Mix.

L128_X128_MIX - org.apache.commons.rng.simple.RandomSource

Source of randomness is L128X128Mix.

L128_X256_MIX - org.apache.commons.rng.simple.RandomSource

Source of randomness is L128X256Mix.

L128X1024Mix - Class in org.apache.commons.rng.core.source64

A 64-bit all purpose generator.

L128X1024Mix(long[]) - Constructor for class org.apache.commons.rng.core.source64.L128X1024Mix

Creates a new instance.

L128X1024Mix(L128X1024Mix) - Constructor for class org.apache.commons.rng.core.source64.L128X1024Mix

Creates a copy instance.

L128X128Mix - Class in org.apache.commons.rng.core.source64

A 64-bit all purpose generator.

L128X128Mix(long[]) - Constructor for class org.apache.commons.rng.core.source64.L128X128Mix

Creates a new instance.

L128X128Mix(long, long, long, long, long, long) - Constructor for class org.apache.commons.rng.core.source64.L128X128Mix

Creates a new instance using a 6 element seed.

L128X128Mix(L128X128Mix) - Constructor for class org.apache.commons.rng.core.source64.L128X128Mix

Creates a copy instance.

L128X256Mix - Class in org.apache.commons.rng.core.source64

A 64-bit all purpose generator.

L128X256Mix(long[]) - Constructor for class org.apache.commons.rng.core.source64.L128X256Mix

Creates a new instance.

L128X256Mix(long, long, long, long, long, long, long, long) - Constructor for class org.apache.commons.rng.core.source64.L128X256Mix

Creates a new instance using an 8 element seed.

L128X256Mix(L128X256Mix) - Constructor for class org.apache.commons.rng.core.source64.L128X256Mix

Creates a copy instance.

L32_X64_MIX - org.apache.commons.rng.simple.RandomSource

Source of randomness is L32X64Mix.

L32X64Mix - Class in org.apache.commons.rng.core.source32

A 32-bit all purpose generator.

L32X64Mix(int[]) - Constructor for class org.apache.commons.rng.core.source32.L32X64Mix

Creates a new instance.

L32X64Mix(int, int, int, int) - Constructor for class org.apache.commons.rng.core.source32.L32X64Mix

Creates a new instance using a 4 element seed.

L64_X1024_MIX - org.apache.commons.rng.simple.RandomSource

Source of randomness is L64X1024Mix.

L64_X128_MIX - org.apache.commons.rng.simple.RandomSource

Source of randomness is L64X128Mix.

L64_X128_SS - org.apache.commons.rng.simple.RandomSource

Source of randomness is L64X128StarStar.

L64_X256_MIX - org.apache.commons.rng.simple.RandomSource

Source of randomness is L64X256Mix.

L64X1024Mix - Class in org.apache.commons.rng.core.source64

A 64-bit all purpose generator.

L64X1024Mix(long[]) - Constructor for class org.apache.commons.rng.core.source64.L64X1024Mix

Creates a new instance.

L64X1024Mix(L64X1024Mix) - Constructor for class org.apache.commons.rng.core.source64.L64X1024Mix

Creates a copy instance.

L64X128Mix - Class in org.apache.commons.rng.core.source64

A 64-bit all purpose generator.

L64X128Mix(long[]) - Constructor for class org.apache.commons.rng.core.source64.L64X128Mix

Creates a new instance.

L64X128Mix(long, long, long, long) - Constructor for class org.apache.commons.rng.core.source64.L64X128Mix

Creates a new instance using a 4 element seed.

L64X128Mix(L64X128Mix) - Constructor for class org.apache.commons.rng.core.source64.L64X128Mix

Creates a copy instance.

L64X128StarStar - Class in org.apache.commons.rng.core.source64

A 64-bit all purpose generator.

L64X128StarStar(long[]) - Constructor for class org.apache.commons.rng.core.source64.L64X128StarStar

Creates a new instance.

L64X128StarStar(long, long, long, long) - Constructor for class org.apache.commons.rng.core.source64.L64X128StarStar

Creates a new instance using a 4 element seed.

L64X128StarStar(L64X128StarStar) - Constructor for class org.apache.commons.rng.core.source64.L64X128StarStar

Creates a copy instance.

L64X256Mix - Class in org.apache.commons.rng.core.source64

A 64-bit all purpose generator.

L64X256Mix(long[]) - Constructor for class org.apache.commons.rng.core.source64.L64X256Mix

Creates a new instance.

L64X256Mix(long, long, long, long, long, long) - Constructor for class org.apache.commons.rng.core.source64.L64X256Mix

Creates a new instance using a 6 element seed.

L64X256Mix(L64X256Mix) - Constructor for class org.apache.commons.rng.core.source64.L64X256Mix

Creates a copy instance.

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

Create an instance.

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

Create an instance.

longJump() - Method in class org.apache.commons.rng.core.source32.L32X64Mix

Creates a copy of the UniformRandomProvider and then retreats the state of the current instance.

longJump() - Method in class org.apache.commons.rng.core.source64.L128X1024Mix

Creates a copy of the UniformRandomProvider and then retreats the state of the current instance.

longJump() - Method in class org.apache.commons.rng.core.source64.L128X128Mix

Creates a copy of the UniformRandomProvider and then retreats the state of the current instance.

longJump() - Method in class org.apache.commons.rng.core.source64.L128X256Mix

Creates a copy of the UniformRandomProvider and then retreats the state of the current instance.

longJump() - Method in class org.apache.commons.rng.core.source64.L64X1024Mix

Creates a copy of the UniformRandomProvider and then retreats the state of the current instance.

longJump() - Method in class org.apache.commons.rng.core.source64.L64X256Mix

Creates a copy of the UniformRandomProvider and then retreats the state of the current instance.

longJump() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128PlusPlus

Creates a copy of the JumpableUniformRandomProvider and then advances the state of the current instance.

longJump() - Method in interface org.apache.commons.rng.LongJumpableUniformRandomProvider

Creates a copy of the JumpableUniformRandomProvider and then advances the state of the current instance.

LongJumpableUniformRandomProvider - Interface in org.apache.commons.rng

Applies to generators that can be advanced a very large number of steps of the output sequence in a single operation.

longJumps() - Method in interface org.apache.commons.rng.LongJumpableUniformRandomProvider

Returns an effectively unlimited stream of new random generators, each of which implements the JumpableUniformRandomProvider interface.

longJumps(long) - Method in interface org.apache.commons.rng.LongJumpableUniformRandomProvider

Returns a stream producing the given streamSize number of new random generators, each of which implements the JumpableUniformRandomProvider interface.

LongProvider - Class in org.apache.commons.rng.core.source64

Base class for all implementations that provide a long-based source randomness.

LongProvider() - Constructor for class org.apache.commons.rng.core.source64.LongProvider

Creates a new instance.

LongProvider(LongProvider) - Constructor for class org.apache.commons.rng.core.source64.LongProvider

Creates a new instance copying the state from the source.

longs() - Method in interface org.apache.commons.rng.SplittableUniformRandomProvider

longs() - Method in interface org.apache.commons.rng.UniformRandomProvider

Returns an effectively unlimited stream of long values.

longs(long) - Method in interface org.apache.commons.rng.SplittableUniformRandomProvider

longs(long) - Method in interface org.apache.commons.rng.UniformRandomProvider

Returns a stream producing the given streamSize number of long values.

longs(long, long) - Method in interface org.apache.commons.rng.SplittableUniformRandomProvider

longs(long, long) - Method in interface org.apache.commons.rng.UniformRandomProvider

Returns an effectively unlimited stream of long values between the specified origin (inclusive) and the specified bound (exclusive).

longs(long, long, long) - Method in interface org.apache.commons.rng.SplittableUniformRandomProvider

longs(long, long, long) - Method in interface org.apache.commons.rng.UniformRandomProvider

Returns a stream producing the given streamSize number of long values between the specified origin (inclusive) and the specified bound (exclusive).

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

makeBoolean(int) - Static method in class org.apache.commons.rng.core.util.NumberFactory

Deprecated.

Since version 1.2. Method has become obsolete following RNG-57.

makeBoolean(long) - Static method in class org.apache.commons.rng.core.util.NumberFactory

Deprecated.

Since version 1.2. Method has become obsolete following RNG-57.

makeByteArray(int) - Static method in class org.apache.commons.rng.core.util.NumberFactory

Splits an int into 4 bytes.

makeByteArray(int[]) - Static method in class org.apache.commons.rng.core.util.NumberFactory

Splits an array of int values into a sequence of bytes.

makeByteArray(long) - Static method in class org.apache.commons.rng.core.util.NumberFactory

Splits a long into 8 bytes.

makeByteArray(long[]) - Static method in class org.apache.commons.rng.core.util.NumberFactory

Splits an array of long values into a sequence of bytes.

makeDouble(int, int) - Static method in class org.apache.commons.rng.core.util.NumberFactory

Creates a double from two int values.

makeDouble(long) - Static method in class org.apache.commons.rng.core.util.NumberFactory

Creates a double from a long value.

makeFloat(int) - Static method in class org.apache.commons.rng.core.util.NumberFactory

Creates a float from an int value.

makeInt(byte[]) - Static method in class org.apache.commons.rng.core.util.NumberFactory

Creates an int from 4 bytes.

makeInt(long) - Static method in class org.apache.commons.rng.core.util.NumberFactory

Deprecated.

Since version 1.2. Method has become obsolete following RNG-57.

makeIntArray(byte[]) - Static method in class org.apache.commons.rng.core.util.NumberFactory

Creates an array of int values from a sequence of bytes.

makeLong(byte[]) - Static method in class org.apache.commons.rng.core.util.NumberFactory

Creates a long from 8 bytes.

makeLong(int, int) - Static method in class org.apache.commons.rng.core.util.NumberFactory

Creates a long from two int values.

makeLongArray(byte[]) - Static method in class org.apache.commons.rng.core.util.NumberFactory

Creates an array of long values from a sequence of bytes.

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

Create an instance.

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.

MersenneTwister - Class in org.apache.commons.rng.core.source32

This class implements a powerful pseudo-random number generator developed by Makoto Matsumoto and Takuji Nishimura during 1996-1997.

MersenneTwister(int[]) - Constructor for class org.apache.commons.rng.core.source32.MersenneTwister

Creates a new random number generator.

MersenneTwister64 - Class in org.apache.commons.rng.core.source64

This class provides the 64-bits version of the originally 32-bits Mersenne Twister.

MersenneTwister64(long[]) - Constructor for class org.apache.commons.rng.core.source64.MersenneTwister64

Creates a new random number generator.

MiddleSquareWeylSequence - Class in org.apache.commons.rng.core.source32

Middle Square Weyl Sequence Random Number Generator.

MiddleSquareWeylSequence(long[]) - Constructor for class org.apache.commons.rng.core.source32.MiddleSquareWeylSequence

Creates a new instance.

MSWS - org.apache.commons.rng.simple.RandomSource

Source of randomness is MiddleSquareWeylSequence.

MT - org.apache.commons.rng.simple.RandomSource

Source of randomness is MersenneTwister.

MT_64 - org.apache.commons.rng.simple.RandomSource

Source of randomness is MersenneTwister64.

MultiplyWithCarry256 - Class in org.apache.commons.rng.core.source32

Port from Marsaglia's "Multiply-With-Carry" algorithm.

MultiplyWithCarry256(int[]) - Constructor for class org.apache.commons.rng.core.source32.MultiplyWithCarry256

Creates a new instance.

MWC_256 - org.apache.commons.rng.simple.RandomSource

Source of randomness is MultiplyWithCarry256.

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.

next() - Method in class org.apache.commons.rng.core.source32.DotyHumphreySmallFastCounting32

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source32.ISAACRandom

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source32.JDKRandom

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source32.JenkinsSmallFast32

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source32.KISSRandom

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source32.L32X64Mix

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source32.MersenneTwister

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source32.MiddleSquareWeylSequence

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source32.MultiplyWithCarry256

Return the next random value.

next() - Method in interface org.apache.commons.rng.core.source32.RandomIntSource

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source32.Well1024a

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source32.Well19937a

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source32.Well19937c

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source32.Well44497a

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source32.Well44497b

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source32.Well512a

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source64.DotyHumphreySmallFastCounting64

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source64.JenkinsSmallFast64

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source64.L128X1024Mix

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source64.L128X128Mix

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source64.L128X256Mix

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source64.L64X1024Mix

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source64.L64X128Mix

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source64.L64X128StarStar

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source64.L64X256Mix

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source64.MersenneTwister64

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source64.PcgRxsMXs64

Return the next random value.

next() - Method in interface org.apache.commons.rng.core.source64.RandomLongSource

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source64.SplitMix64

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source64.TwoCmres

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128PlusPlus

Return the next random value.

next() - Method in class org.apache.commons.rng.core.source64.XorShift1024Star

Return the next random value.

next(int) - Method in class org.apache.commons.rng.simple.JDKRandomBridge

Delegates the generation of 32 random bits to the RandomSource argument provided at construction.

nextBoolean() - Method in class org.apache.commons.rng.core.source32.IntProvider

Generates a boolean value.

nextBoolean() - Method in class org.apache.commons.rng.core.source64.LongProvider

Generates a boolean value.

nextBoolean() - Method in class org.apache.commons.rng.simple.JDKRandomWrapper

Generates a boolean value.

nextBoolean() - Method in interface org.apache.commons.rng.UniformRandomProvider

Generates a boolean value.

nextBytes(byte[]) - Method in class org.apache.commons.rng.core.source32.IntProvider

Generates byte values and places them into a user-supplied array.

nextBytes(byte[]) - Method in class org.apache.commons.rng.simple.JDKRandomWrapper

Generates byte values and places them into a user-supplied array.

nextBytes(byte[]) - Method in interface org.apache.commons.rng.UniformRandomProvider

Generates byte values and places them into a user-supplied array.

nextBytes(byte[], int, int) - Method in class org.apache.commons.rng.core.source32.IntProvider

Generates byte values and places them into a user-supplied array.

nextBytes(byte[], int, int) - Method in class org.apache.commons.rng.simple.JDKRandomWrapper

Generates byte values and places them into a user-supplied array.

nextBytes(byte[], int, int) - Method in interface org.apache.commons.rng.UniformRandomProvider

Generates byte values and places them into a user-supplied array.

nextDouble() - Method in class org.apache.commons.rng.core.source32.IntProvider

Generates a double value between 0 (inclusive) and 1 (exclusive).

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

Deprecated.

Return the next double value.

nextDouble() - Method in class org.apache.commons.rng.simple.JDKRandomWrapper

Generates a double value between 0 (inclusive) and 1 (exclusive).

nextDouble() - Method in interface org.apache.commons.rng.UniformRandomProvider

Generates a double value between 0 (inclusive) and 1 (exclusive).

nextDouble(double) - Method in interface org.apache.commons.rng.UniformRandomProvider

Generates a double value between 0 (inclusive) and the specified bound (exclusive).

nextDouble(double, double) - Method in interface org.apache.commons.rng.UniformRandomProvider

Generates a double value between the specified origin (inclusive) and the specified bound (exclusive).

nextFloat() - Method in class org.apache.commons.rng.simple.JDKRandomWrapper

Generates a float value between 0 (inclusive) and 1 (exclusive).

nextFloat() - Method in interface org.apache.commons.rng.UniformRandomProvider

Generates a float value between 0 (inclusive) and 1 (exclusive).

nextFloat(float) - Method in interface org.apache.commons.rng.UniformRandomProvider

Generates a float value between 0 (inclusive) and the specified bound (exclusive).

nextFloat(float, float) - Method in interface org.apache.commons.rng.UniformRandomProvider

Generates a float value between the specified origin (inclusive) and the specified bound (exclusive).

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.core.source32.IntProvider

Generates an int value.

nextInt() - Method in class org.apache.commons.rng.core.source64.LongProvider

Generates an int value.

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

Deprecated.

Return the next int value.

nextInt() - Method in class org.apache.commons.rng.simple.JDKRandomWrapper

Generates an int value.

nextInt() - Method in interface org.apache.commons.rng.UniformRandomProvider

Generates an int value.

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

Deprecated.

Return the next int value.

nextInt(int) - Method in class org.apache.commons.rng.simple.JDKRandomWrapper

Generates an int value between 0 (inclusive) and the specified value (exclusive).

nextInt(int) - Method in interface org.apache.commons.rng.UniformRandomProvider

Generates an int value between 0 (inclusive) and the specified value (exclusive).

nextInt(int, int) - Method in interface org.apache.commons.rng.UniformRandomProvider

Generates an int value between the specified origin (inclusive) and the specified bound (exclusive).

nextLong() - Method in class org.apache.commons.rng.core.source32.IntProvider

Generates a long value.

nextLong() - Method in class org.apache.commons.rng.core.source32.MiddleSquareWeylSequence

Generates a long value.

nextLong() - Method in class org.apache.commons.rng.core.source64.LongProvider

Generates a long value.

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

Deprecated.

Return the next long value.

nextLong() - Method in class org.apache.commons.rng.simple.JDKRandomWrapper

Generates a long value.

nextLong() - Method in interface org.apache.commons.rng.UniformRandomProvider

Generates a long value.

nextLong(long) - Method in class org.apache.commons.rng.simple.JDKRandomWrapper

Generates a long value between 0 (inclusive) and the specified value (exclusive).

nextLong(long) - Method in interface org.apache.commons.rng.UniformRandomProvider

Generates a long value between 0 (inclusive) and the specified value (exclusive).

nextLong(long, long) - Method in interface org.apache.commons.rng.UniformRandomProvider

Generates a long value between the specified origin (inclusive) and the specified bound (exclusive).

nextOutput() - Method in class org.apache.commons.rng.core.source32.XoRoShiRo64Star

Use the current state to compute the next output from the generator.

nextOutput() - Method in class org.apache.commons.rng.core.source32.XoRoShiRo64StarStar

Use the current state to compute the next output from the generator.

nextOutput() - Method in class org.apache.commons.rng.core.source32.XoShiRo128Plus

Use the current state to compute the next output from the generator.

nextOutput() - Method in class org.apache.commons.rng.core.source32.XoShiRo128PlusPlus

Use the current state to compute the next output from the generator.

nextOutput() - Method in class org.apache.commons.rng.core.source32.XoShiRo128StarStar

Use the current state to compute the next output from the generator.

nextOutput() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128Plus

Use the current state to compute the next output from the generator.

nextOutput() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128PlusPlus

Use the current state to compute the next output from the generator.

nextOutput() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128StarStar

Use the current state to compute the next output from the generator.

nextOutput() - Method in class org.apache.commons.rng.core.source64.XoShiRo256Plus

Use the current state to compute the next output from the generator.

nextOutput() - Method in class org.apache.commons.rng.core.source64.XoShiRo256PlusPlus

Use the current state to compute the next output from the generator.

nextOutput() - Method in class org.apache.commons.rng.core.source64.XoShiRo256StarStar

Use the current state to compute the next output from the generator.

nextOutput() - Method in class org.apache.commons.rng.core.source64.XoShiRo512Plus

Use the current state to compute the next output from the generator.

nextOutput() - Method in class org.apache.commons.rng.core.source64.XoShiRo512PlusPlus

Use the current state to compute the next output from the generator.

nextOutput() - Method in class org.apache.commons.rng.core.source64.XoShiRo512StarStar

Use the current state to compute the next output from the generator.

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.

NumberFactory - Class in org.apache.commons.rng.core.util

Utility for creating number types from one or two int values or one long value, or a sequence of bytes.

numberOfSubcycleGenerators() - Static method in class org.apache.commons.rng.core.source64.TwoCmres

Get the number of subcycle generators.

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.TSampler

Create a new t distribution sampler.

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.FastLoadedDiceRollerDiscreteSampler

Creates a 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[], int) - Static method in class org.apache.commons.rng.sampling.distribution.FastLoadedDiceRollerDiscreteSampler

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[]) - Static method in class org.apache.commons.rng.sampling.distribution.FastLoadedDiceRollerDiscreteSampler

Creates a 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 - package org.apache.commons.rng

This package contains the library's interface to be used by client code that needs a generator of sequences of pseudo-random numbers that are uniformly distributed in a specified range.

org.apache.commons.rng.core - package org.apache.commons.rng.core

Base classes for the generation of uniformly distributed random numbers.

org.apache.commons.rng.core.source32 - package org.apache.commons.rng.core.source32

Concrete algorithms for int-based sources of randomness.

org.apache.commons.rng.core.source64 - package org.apache.commons.rng.core.source64

Concrete algorithms for long-based sources of randomness.

org.apache.commons.rng.core.util - package org.apache.commons.rng.core.util

This package contains utilities to combine/split primitive types.

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

This package provides sampling utilities.

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

This package contains classes for sampling from statistical distributions.

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

This package contains classes for sampling coordinates from shapes, for example a unit ball.

org.apache.commons.rng.simple - package org.apache.commons.rng.simple

This package provides factory methods by which low-level classes implemented in module "commons-rng-core" are instantiated.

P

PCG_MCG_XSH_RR_32 - org.apache.commons.rng.simple.RandomSource

Source of randomness is PcgMcgXshRr32.

PCG_MCG_XSH_RS_32 - org.apache.commons.rng.simple.RandomSource

Source of randomness is PcgMcgXshRs32.

PCG_RXS_M_XS_64 - org.apache.commons.rng.simple.RandomSource

Source of randomness is PcgRxsMXs64.

PCG_RXS_M_XS_64_OS - org.apache.commons.rng.simple.RandomSource

Source of randomness is PcgRxsMXs64.

PCG_XSH_RR_32 - org.apache.commons.rng.simple.RandomSource

Source of randomness is PcgXshRr32.

PCG_XSH_RR_32_OS - org.apache.commons.rng.simple.RandomSource

Source of randomness is PcgXshRr32.

PCG_XSH_RS_32 - org.apache.commons.rng.simple.RandomSource

Source of randomness is PcgXshRs32.

PCG_XSH_RS_32_OS - org.apache.commons.rng.simple.RandomSource

Source of randomness is PcgXshRs32.

PcgMcgXshRr32 - Class in org.apache.commons.rng.core.source32

A Permuted Congruential Generator (PCG) that is composed of a 64-bit Multiplicative Congruential Generator (MCG) combined with the XSH-RR (xorshift; random rotate) output transformation to create 32-bit output.

PcgMcgXshRr32(Long) - Constructor for class org.apache.commons.rng.core.source32.PcgMcgXshRr32

Creates a new instance.

PcgMcgXshRs32 - Class in org.apache.commons.rng.core.source32

A Permuted Congruential Generator (PCG) that is composed of a 64-bit Multiplicative Congruential Generator (MCG) combined with the XSH-RS (xorshift; random shift) output transformation to create 32-bit output.

PcgMcgXshRs32(Long) - Constructor for class org.apache.commons.rng.core.source32.PcgMcgXshRs32

Creates a new instance.

PcgRxsMXs64 - Class in org.apache.commons.rng.core.source64

A Permuted Congruential Generator (PCG) that is composed of a 64-bit Linear Congruential Generator (LCG) combined with the RXS-M-XS (random xorshift; multiply; xorshift) output transformation to create 64-bit output.

PcgRxsMXs64(long[]) - Constructor for class org.apache.commons.rng.core.source64.PcgRxsMXs64

Creates a new instance.

PcgRxsMXs64(Long) - Constructor for class org.apache.commons.rng.core.source64.PcgRxsMXs64

Creates a new instance using a default increment.

PcgXshRr32 - Class in org.apache.commons.rng.core.source32

A Permuted Congruential Generator (PCG) that is composed of a 64-bit Linear Congruential Generator (LCG) combined with the XSH-RR (xorshift; random rotate) output transformation to create 32-bit output.

PcgXshRr32(long[]) - Constructor for class org.apache.commons.rng.core.source32.PcgXshRr32

Creates a new instance.

PcgXshRr32(Long) - Constructor for class org.apache.commons.rng.core.source32.PcgXshRr32

Creates a new instance using a default increment.

PcgXshRs32 - Class in org.apache.commons.rng.core.source32

A Permuted Congruential Generator (PCG) that is composed of a 64-bit Linear Congruential Generator (LCG) combined with the XSH-RS (xorshift; random shift) output transformation to create 32-bit output.

PcgXshRs32(long[]) - Constructor for class org.apache.commons.rng.core.source32.PcgXshRs32

Creates a new instance.

PcgXshRs32(Long) - Constructor for class org.apache.commons.rng.core.source32.PcgXshRs32

Creates a new instance using a default increment.

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

Create an instance.

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

The probability table.

R

RandomIntSource - Interface in org.apache.commons.rng.core.source32

Source of randomness that generates values of type int.

RandomLongSource - Interface in org.apache.commons.rng.core.source64

Source of randomness that generates values of type long.

RandomProviderDefaultState - Class in org.apache.commons.rng.core

Wraps the internal state of a generator instance.

RandomProviderDefaultState(byte[]) - Constructor for class org.apache.commons.rng.core.RandomProviderDefaultState

Initializes an instance.

RandomProviderState - Interface in org.apache.commons.rng

Marker interface for objects that represents the state of a random generator.

RandomSource - Enum in org.apache.commons.rng.simple

This class provides the API for creating generators of random numbers.

RandomStreams - Class in org.apache.commons.rng.core.util

Utility for creating streams using a source of randomness.

RandomStreams.SeededObjectFactory<T> - Interface in org.apache.commons.rng.core.util

A factory for creating objects using a seed and a using a source of randomness.

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

This instance delegates sampling.

resetCachedState() - Method in class org.apache.commons.rng.core.source32.IntProvider

Reset the cached state used in the default implementation of IntProvider.nextBoolean().

resetCachedState() - Method in class org.apache.commons.rng.core.source64.LongProvider

Reset the cached state used in the default implementation of LongProvider.nextBoolean() and LongProvider.nextInt().

RestorableUniformRandomProvider - Interface in org.apache.commons.rng

Applies to generators whose internal state can be saved and restored.

restoreState(RandomProviderState) - Method in class org.apache.commons.rng.core.BaseProvider

Restores the state of a generator.

restoreState(RandomProviderState) - Method in interface org.apache.commons.rng.RestorableUniformRandomProvider

Restores the state of a generator.

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 double sample.

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

Creates a double sample.

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

Creates an int sample.

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

Deprecated.

Creates a double sample.

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

Deprecated.

Creates a double sample.

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

Creates a double sample.

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

Creates a double sample.

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

Creates a double sample.

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

Creates a double sample.

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

Create an object sample.

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

Creates an int sample.

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

Creates an int sample.

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

Creates a double sample.

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

Creates an int sample.

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

Creates a double sample.

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

Creates an int sample.

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

Creates a double sample.

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

Creates an int sample.

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

Creates an int sample.

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

Creates a double sample.

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

Creates a double sample.

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

Creates a long sample.

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

Creates a double sample.

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

Creates an int 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 an int 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 double sample.

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

Creates a double sample.

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

Creates a double sample.

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

Create an object 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.

Create an instance.

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

Returns an effectively unlimited stream of double sample values.

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

Returns an effectively unlimited stream of int sample values.

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

Returns an effectively unlimited stream of long sample values.

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

Returns an effectively unlimited stream of object sample values.

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

Returns a stream producing the given streamSize number of double sample values.

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

Returns a stream producing the given streamSize number of int sample values.

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

Returns a stream producing the given streamSize number of long sample values.

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

Returns a stream producing the given streamSize number of object sample values.

saveState() - Method in class org.apache.commons.rng.core.BaseProvider

Saves the state of a generator.

saveState() - Method in interface org.apache.commons.rng.RestorableUniformRandomProvider

Saves the state of a generator.

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.

setSeed(long) - Method in class org.apache.commons.rng.simple.JDKRandomBridge

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.BaseProvider

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.AbstractWell

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.DotyHumphreySmallFastCounting32

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.IntProvider

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.ISAACRandom

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.JDKRandom

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.JenkinsSmallFast32

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.KISSRandom

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.L32X64Mix

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.MersenneTwister

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.MiddleSquareWeylSequence

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.MultiplyWithCarry256

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.DotyHumphreySmallFastCounting64

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.JenkinsSmallFast64

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.L128X1024Mix

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.L128X128Mix

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.L128X256Mix

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.L64X1024Mix

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.L64X256Mix

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.LongProvider

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.MersenneTwister64

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.PcgRxsMXs64

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.SplitMix64

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.TwoCmres

Resets the RNG to the given state.

setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.XorShift1024Star

Resets the RNG to the given state.

SFC_32 - org.apache.commons.rng.simple.RandomSource

Source of randomness is DotyHumphreySmallFastCounting32.

SFC_64 - org.apache.commons.rng.simple.RandomSource

Source of randomness is DotyHumphreySmallFastCounting64.

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, boolean[]) - Static method in class org.apache.commons.rng.sampling.ArraySampler

Shuffles the entries of the given array.

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

Shuffles the entries of the given array in the range [from, to).

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

Shuffles the entries of the given array.

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

Shuffles the entries of the given array in the range [from, to).

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

Shuffles the entries of the given array.

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

Shuffles the entries of the given array in the range [from, to).

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

Shuffles the entries of the given array.

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

Shuffles the entries of the given array in the range [from, to).

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

Shuffles the entries of the given array.

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

Shuffles the entries of the given array in the range [from, to).

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

Shuffles the entries of the given array.

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, int[], int, int) - Static method in class org.apache.commons.rng.sampling.ArraySampler

Shuffles the entries of the given array in the range [from, to).

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

Shuffles the entries of the given array.

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

Shuffles the entries of the given array in the range [from, to).

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

Shuffles the entries of the given array.

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

Shuffles the entries of the given array in the range [from, to).

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.

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

Shuffles the entries of the given array.

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

Shuffles the entries of the given array in the range [from, to).

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

Create an instance.

split() - Method in interface org.apache.commons.rng.SplittableUniformRandomProvider

Creates a new random generator, split off from this one, that implements the SplittableUniformRandomProvider interface.

split(UniformRandomProvider) - Method in class org.apache.commons.rng.core.source32.L32X64Mix

Creates a new random generator, split off from this one, that implements the SplittableUniformRandomProvider interface.

split(UniformRandomProvider) - Method in class org.apache.commons.rng.core.source64.L128X1024Mix

Creates a new random generator, split off from this one, that implements the SplittableUniformRandomProvider interface.

split(UniformRandomProvider) - Method in class org.apache.commons.rng.core.source64.L128X128Mix

Creates a new random generator, split off from this one, that implements the SplittableUniformRandomProvider interface.

split(UniformRandomProvider) - Method in class org.apache.commons.rng.core.source64.L128X256Mix

Creates a new random generator, split off from this one, that implements the SplittableUniformRandomProvider interface.

split(UniformRandomProvider) - Method in class org.apache.commons.rng.core.source64.L64X1024Mix

Creates a new random generator, split off from this one, that implements the SplittableUniformRandomProvider interface.

split(UniformRandomProvider) - Method in class org.apache.commons.rng.core.source64.L64X128Mix

Creates a new random generator, split off from this one, that implements the SplittableUniformRandomProvider interface.

split(UniformRandomProvider) - Method in class org.apache.commons.rng.core.source64.L64X128StarStar

Creates a new random generator, split off from this one, that implements the SplittableUniformRandomProvider interface.

split(UniformRandomProvider) - Method in class org.apache.commons.rng.core.source64.L64X256Mix

Creates a new random generator, split off from this one, that implements the SplittableUniformRandomProvider interface.

split(UniformRandomProvider) - Method in interface org.apache.commons.rng.SplittableUniformRandomProvider

Creates a new random generator, split off from this one, that implements the SplittableUniformRandomProvider interface.

SPLIT_MIX_64 - org.apache.commons.rng.simple.RandomSource

Source of randomness is SplitMix64.

SplitMix64 - Class in org.apache.commons.rng.core.source64

A fast RNG, with 64 bits of state, that can be used to initialize the state of other generators.

SplitMix64(long) - Constructor for class org.apache.commons.rng.core.source64.SplitMix64

Creates a new instance.

SplitMix64(Long) - Constructor for class org.apache.commons.rng.core.source64.SplitMix64

Creates a new instance.

splits() - Method in interface org.apache.commons.rng.SplittableUniformRandomProvider

Returns an effectively unlimited stream of new random generators, each of which implements the SplittableUniformRandomProvider interface.

splits(long) - Method in interface org.apache.commons.rng.SplittableUniformRandomProvider

Returns a stream producing the given streamSize number of new random generators, each of which implements the SplittableUniformRandomProvider interface.

splits(long, SplittableUniformRandomProvider) - Method in class org.apache.commons.rng.core.source32.L32X64Mix

Returns a stream producing the given streamSize number of new random generators, each of which implements the SplittableUniformRandomProvider interface.

splits(long, SplittableUniformRandomProvider) - Method in class org.apache.commons.rng.core.source64.L128X1024Mix

Returns a stream producing the given streamSize number of new random generators, each of which implements the SplittableUniformRandomProvider interface.

splits(long, SplittableUniformRandomProvider) - Method in class org.apache.commons.rng.core.source64.L128X128Mix

Returns a stream producing the given streamSize number of new random generators, each of which implements the SplittableUniformRandomProvider interface.

splits(long, SplittableUniformRandomProvider) - Method in class org.apache.commons.rng.core.source64.L128X256Mix

Returns a stream producing the given streamSize number of new random generators, each of which implements the SplittableUniformRandomProvider interface.

splits(long, SplittableUniformRandomProvider) - Method in class org.apache.commons.rng.core.source64.L64X1024Mix

Returns a stream producing the given streamSize number of new random generators, each of which implements the SplittableUniformRandomProvider interface.

splits(long, SplittableUniformRandomProvider) - Method in class org.apache.commons.rng.core.source64.L64X128Mix

Returns a stream producing the given streamSize number of new random generators, each of which implements the SplittableUniformRandomProvider interface.

splits(long, SplittableUniformRandomProvider) - Method in class org.apache.commons.rng.core.source64.L64X128StarStar

Returns a stream producing the given streamSize number of new random generators, each of which implements the SplittableUniformRandomProvider interface.

splits(long, SplittableUniformRandomProvider) - Method in class org.apache.commons.rng.core.source64.L64X256Mix

Returns a stream producing the given streamSize number of new random generators, each of which implements the SplittableUniformRandomProvider interface.

splits(long, SplittableUniformRandomProvider) - Method in interface org.apache.commons.rng.SplittableUniformRandomProvider

Returns a stream producing the given streamSize number of new random generators, each of which implements the SplittableUniformRandomProvider interface.

splits(SplittableUniformRandomProvider) - Method in interface org.apache.commons.rng.SplittableUniformRandomProvider

Returns an effectively unlimited stream of new random generators, each of which implements the SplittableUniformRandomProvider interface.

splitStateInternal(byte[], int) - Method in class org.apache.commons.rng.core.BaseProvider

Splits the given state into a part to be consumed by the caller in order to restore its local state, while the reminder is passed to the parent class.

SplittableUniformRandomProvider - Interface in org.apache.commons.rng

Applies to generators that can be split into two objects (the original and a new instance) each of which implements the same interface (and can be recursively split indefinitely).

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.

ThreadLocalRandomSource - Class in org.apache.commons.rng.simple

This class provides a thread-local UniformRandomProvider.

toString() - Method in class org.apache.commons.rng.core.BaseProvider

toString() - Method in class org.apache.commons.rng.core.source64.TwoCmres

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.TSampler

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

transform(long) - Method in class org.apache.commons.rng.core.source32.PcgMcgXshRr32

Transform the 64-bit state of the generator to a 32-bit output.

transform(long) - Method in class org.apache.commons.rng.core.source32.PcgMcgXshRs32

Transform the 64-bit state of the generator to a 32-bit output.

transform(long) - Method in class org.apache.commons.rng.core.source32.PcgXshRr32

Transform the 64-bit state of the generator to a 32-bit output.

transform(long) - Method in class org.apache.commons.rng.core.source32.PcgXshRs32

Transform the 64-bit state of the generator to a 32-bit output.

transform(long, long) - Method in class org.apache.commons.rng.core.source64.XoRoShiRo1024PlusPlus

Transform the two consecutive 64-bit states of the generator to a 64-bit output.

transform(long, long) - Method in class org.apache.commons.rng.core.source64.XoRoShiRo1024Star

Transform the two consecutive 64-bit states of the generator to a 64-bit output.

transform(long, long) - Method in class org.apache.commons.rng.core.source64.XoRoShiRo1024StarStar

Transform the two consecutive 64-bit states of the generator to a 64-bit output.

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

Generate points uniformly distributed within a triangle.

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

Sampling from a T distribution.

TWO_CMRES - org.apache.commons.rng.simple.RandomSource

Source of randomness is TwoCmres.

TWO_CMRES_SELECT - org.apache.commons.rng.simple.RandomSource

Source of randomness is TwoCmres, with explicit selection of the two subcycle generators.

TwoCmres - Class in org.apache.commons.rng.core.source64

Random number generator designed by Mark D. Overton.

TwoCmres(Integer) - Constructor for class org.apache.commons.rng.core.source64.TwoCmres

Creates a new instance.

TwoCmres(Integer, int, int) - Constructor for class org.apache.commons.rng.core.source64.TwoCmres

Creates a new instance.

U

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

Discrete uniform distribution sampler generating values of type long.

UniformRandomProvider - Interface in org.apache.commons.rng

Applies to generators of random number sequences that follow a uniform distribution.

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

Create an instance.

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).

unrestorable(UniformRandomProvider) - Static method in enum org.apache.commons.rng.simple.RandomSource

Wraps the given delegate generator in a new instance that only provides access to the UniformRandomProvider methods.

V

v - Variable in class org.apache.commons.rng.core.source32.AbstractWell

Bytes pool.

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

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

valueOf(String) - Static method in enum org.apache.commons.rng.simple.RandomSource

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.

values() - Static method in enum org.apache.commons.rng.simple.RandomSource

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

W

WELL_1024_A - org.apache.commons.rng.simple.RandomSource

Source of randomness is Well1024a.

WELL_19937_A - org.apache.commons.rng.simple.RandomSource

Source of randomness is Well19937a.

WELL_19937_C - org.apache.commons.rng.simple.RandomSource

Source of randomness is Well19937c.

WELL_44497_A - org.apache.commons.rng.simple.RandomSource

Source of randomness is Well44497a.

WELL_44497_B - org.apache.commons.rng.simple.RandomSource

Source of randomness is Well44497b.

WELL_512_A - org.apache.commons.rng.simple.RandomSource

Source of randomness is Well512a.

Well1024a - Class in org.apache.commons.rng.core.source32

This class implements the WELL1024a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.

Well1024a(int[]) - Constructor for class org.apache.commons.rng.core.source32.Well1024a

Creates a new random number generator.

Well19937a - Class in org.apache.commons.rng.core.source32

This class implements the WELL19937a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.

Well19937a(int[]) - Constructor for class org.apache.commons.rng.core.source32.Well19937a

Creates a new random number generator.

Well19937c - Class in org.apache.commons.rng.core.source32

This class implements the WELL19937c pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.

Well19937c(int[]) - Constructor for class org.apache.commons.rng.core.source32.Well19937c

Creates a new random number generator.

Well44497a - Class in org.apache.commons.rng.core.source32

This class implements the WELL44497a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.

Well44497a(int[]) - Constructor for class org.apache.commons.rng.core.source32.Well44497a

Creates a new random number generator.

Well44497b - Class in org.apache.commons.rng.core.source32

This class implements the WELL44497b pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.

Well44497b(int[]) - Constructor for class org.apache.commons.rng.core.source32.Well44497b

Creates a new random number generator.

Well512a - Class in org.apache.commons.rng.core.source32

This class implements the WELL512a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.

Well512a(int[]) - Constructor for class org.apache.commons.rng.core.source32.Well512a

Creates a new random number generator.

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.FastLoadedDiceRollerDiscreteSampler

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.TSampler

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.

X

XO_RO_SHI_RO_1024_PP - org.apache.commons.rng.simple.RandomSource

Source of randomness is XoRoShiRo1024PlusPlus.

XO_RO_SHI_RO_1024_S - org.apache.commons.rng.simple.RandomSource

Source of randomness is XoRoShiRo1024Star.

XO_RO_SHI_RO_1024_SS - org.apache.commons.rng.simple.RandomSource

Source of randomness is XoRoShiRo1024StarStar.

XO_RO_SHI_RO_128_PLUS - org.apache.commons.rng.simple.RandomSource

Source of randomness is XoRoShiRo128Plus.

XO_RO_SHI_RO_128_PP - org.apache.commons.rng.simple.RandomSource

Source of randomness is XoRoShiRo128PlusPlus.

XO_RO_SHI_RO_128_SS - org.apache.commons.rng.simple.RandomSource

Source of randomness is XoRoShiRo128StarStar.

XO_RO_SHI_RO_64_S - org.apache.commons.rng.simple.RandomSource

Source of randomness is XoRoShiRo64Star.

XO_RO_SHI_RO_64_SS - org.apache.commons.rng.simple.RandomSource

Source of randomness is XoRoShiRo64StarStar.

XO_SHI_RO_128_PLUS - org.apache.commons.rng.simple.RandomSource

Source of randomness is XoShiRo128Plus.

XO_SHI_RO_128_PP - org.apache.commons.rng.simple.RandomSource

Source of randomness is XoShiRo128PlusPlus.

XO_SHI_RO_128_SS - org.apache.commons.rng.simple.RandomSource

Source of randomness is XoShiRo128StarStar.

XO_SHI_RO_256_PLUS - org.apache.commons.rng.simple.RandomSource

Source of randomness is XoShiRo256Plus.

XO_SHI_RO_256_PP - org.apache.commons.rng.simple.RandomSource

Source of randomness is XoShiRo256PlusPlus.

XO_SHI_RO_256_SS - org.apache.commons.rng.simple.RandomSource

Source of randomness is XoShiRo256StarStar.

XO_SHI_RO_512_PLUS - org.apache.commons.rng.simple.RandomSource

Source of randomness is XoShiRo512Plus.

XO_SHI_RO_512_PP - org.apache.commons.rng.simple.RandomSource

Source of randomness is XoShiRo512PlusPlus.

XO_SHI_RO_512_SS - org.apache.commons.rng.simple.RandomSource

Source of randomness is XoShiRo512StarStar.

XOR_SHIFT_1024_S - org.apache.commons.rng.simple.RandomSource

Deprecated.

Since 1.3, where it is recommended to use XOR_SHIFT_1024_S_PHI instead due to its slightly better (more uniform) output. XOR_SHIFT_1024_S is still quite usable but both are variants of the same algorithm and maintain their internal state identically. Their outputs are correlated and the two should not be used together when independent sequences are assumed.

XOR_SHIFT_1024_S_PHI - org.apache.commons.rng.simple.RandomSource

Source of randomness is XorShift1024StarPhi.

XoRoShiRo1024PlusPlus - Class in org.apache.commons.rng.core.source64

A large-state all-purpose 64-bit generator.

XoRoShiRo1024PlusPlus(long[]) - Constructor for class org.apache.commons.rng.core.source64.XoRoShiRo1024PlusPlus

Creates a new instance.

XoRoShiRo1024PlusPlus(XoRoShiRo1024PlusPlus) - Constructor for class org.apache.commons.rng.core.source64.XoRoShiRo1024PlusPlus

Creates a copy instance.

XoRoShiRo1024Star - Class in org.apache.commons.rng.core.source64

A large-state 64-bit generator suitable for double generation.

XoRoShiRo1024Star(long[]) - Constructor for class org.apache.commons.rng.core.source64.XoRoShiRo1024Star

Creates a new instance.

XoRoShiRo1024Star(XoRoShiRo1024Star) - Constructor for class org.apache.commons.rng.core.source64.XoRoShiRo1024Star

Creates a copy instance.

XoRoShiRo1024StarStar - Class in org.apache.commons.rng.core.source64

A large-state all-purpose 64-bit generator.

XoRoShiRo1024StarStar(long[]) - Constructor for class org.apache.commons.rng.core.source64.XoRoShiRo1024StarStar

Creates a new instance.

XoRoShiRo1024StarStar(XoRoShiRo1024StarStar) - Constructor for class org.apache.commons.rng.core.source64.XoRoShiRo1024StarStar

Creates a copy instance.

XoRoShiRo128Plus - Class in org.apache.commons.rng.core.source64

A fast 64-bit generator suitable for double generation.

XoRoShiRo128Plus(long[]) - Constructor for class org.apache.commons.rng.core.source64.XoRoShiRo128Plus

Creates a new instance.

XoRoShiRo128Plus(long, long) - Constructor for class org.apache.commons.rng.core.source64.XoRoShiRo128Plus

Creates a new instance using a 2 element seed.

XoRoShiRo128Plus(XoRoShiRo128Plus) - Constructor for class org.apache.commons.rng.core.source64.XoRoShiRo128Plus

Creates a copy instance.

XoRoShiRo128PlusPlus - Class in org.apache.commons.rng.core.source64

A fast all-purpose 64-bit generator.

XoRoShiRo128PlusPlus(long[]) - Constructor for class org.apache.commons.rng.core.source64.XoRoShiRo128PlusPlus

Creates a new instance.

XoRoShiRo128PlusPlus(long, long) - Constructor for class org.apache.commons.rng.core.source64.XoRoShiRo128PlusPlus

Creates a new instance using a 2 element seed.

XoRoShiRo128PlusPlus(XoRoShiRo128PlusPlus) - Constructor for class org.apache.commons.rng.core.source64.XoRoShiRo128PlusPlus

Creates a copy instance.

XoRoShiRo128StarStar - Class in org.apache.commons.rng.core.source64

A fast all-purpose 64-bit generator.

XoRoShiRo128StarStar(long[]) - Constructor for class org.apache.commons.rng.core.source64.XoRoShiRo128StarStar

Creates a new instance.

XoRoShiRo128StarStar(long, long) - Constructor for class org.apache.commons.rng.core.source64.XoRoShiRo128StarStar

Creates a new instance using a 2 element seed.

XoRoShiRo128StarStar(XoRoShiRo128StarStar) - Constructor for class org.apache.commons.rng.core.source64.XoRoShiRo128StarStar

Creates a copy instance.

XoRoShiRo64Star - Class in org.apache.commons.rng.core.source32

A fast 32-bit generator suitable for float generation.

XoRoShiRo64Star(int[]) - Constructor for class org.apache.commons.rng.core.source32.XoRoShiRo64Star

Creates a new instance.

XoRoShiRo64Star(int, int) - Constructor for class org.apache.commons.rng.core.source32.XoRoShiRo64Star

Creates a new instance using a 2 element seed.

XoRoShiRo64StarStar - Class in org.apache.commons.rng.core.source32

A fast all-purpose 32-bit generator.

XoRoShiRo64StarStar(int[]) - Constructor for class org.apache.commons.rng.core.source32.XoRoShiRo64StarStar

Creates a new instance.

XoRoShiRo64StarStar(int, int) - Constructor for class org.apache.commons.rng.core.source32.XoRoShiRo64StarStar

Creates a new instance using a 2 element seed.

XorShift1024Star - Class in org.apache.commons.rng.core.source64

A fast RNG implementing the XorShift1024* algorithm.

XorShift1024Star(long[]) - Constructor for class org.apache.commons.rng.core.source64.XorShift1024Star

Creates a new instance.

XorShift1024Star(long[], long) - Constructor for class org.apache.commons.rng.core.source64.XorShift1024Star

Creates a new instance.

XorShift1024Star(XorShift1024Star) - Constructor for class org.apache.commons.rng.core.source64.XorShift1024Star

Creates a copy instance.

XorShift1024StarPhi - Class in org.apache.commons.rng.core.source64

A fast RNG implementing the XorShift1024* algorithm.

XorShift1024StarPhi(long[]) - Constructor for class org.apache.commons.rng.core.source64.XorShift1024StarPhi

Creates a new instance.

XorShift1024StarPhi(XorShift1024StarPhi) - Constructor for class org.apache.commons.rng.core.source64.XorShift1024StarPhi

Creates a copy instance.

XoShiRo128Plus - Class in org.apache.commons.rng.core.source32

A fast 32-bit generator suitable for float generation.

XoShiRo128Plus(int[]) - Constructor for class org.apache.commons.rng.core.source32.XoShiRo128Plus

Creates a new instance.

XoShiRo128Plus(int, int, int, int) - Constructor for class org.apache.commons.rng.core.source32.XoShiRo128Plus

Creates a new instance using a 4 element seed.

XoShiRo128Plus(XoShiRo128Plus) - Constructor for class org.apache.commons.rng.core.source32.XoShiRo128Plus

Creates a copy instance.

XoShiRo128PlusPlus - Class in org.apache.commons.rng.core.source32

A fast all-purpose 32-bit generator.

XoShiRo128PlusPlus(int[]) - Constructor for class org.apache.commons.rng.core.source32.XoShiRo128PlusPlus

Creates a new instance.

XoShiRo128PlusPlus(int, int, int, int) - Constructor for class org.apache.commons.rng.core.source32.XoShiRo128PlusPlus

Creates a new instance using a 4 element seed.

XoShiRo128PlusPlus(XoShiRo128PlusPlus) - Constructor for class org.apache.commons.rng.core.source32.XoShiRo128PlusPlus

Creates a copy instance.

XoShiRo128StarStar - Class in org.apache.commons.rng.core.source32

A fast all-purpose 32-bit generator.

XoShiRo128StarStar(int[]) - Constructor for class org.apache.commons.rng.core.source32.XoShiRo128StarStar

Creates a new instance.

XoShiRo128StarStar(int, int, int, int) - Constructor for class org.apache.commons.rng.core.source32.XoShiRo128StarStar

Creates a new instance using a 4 element seed.

XoShiRo128StarStar(XoShiRo128StarStar) - Constructor for class org.apache.commons.rng.core.source32.XoShiRo128StarStar

Creates a copy instance.

XoShiRo256Plus - Class in org.apache.commons.rng.core.source64

A fast 64-bit generator suitable for double generation.

XoShiRo256Plus(long[]) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo256Plus

Creates a new instance.

XoShiRo256Plus(long, long, long, long) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo256Plus

Creates a new instance using a 4 element seed.

XoShiRo256Plus(XoShiRo256Plus) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo256Plus

Creates a copy instance.

XoShiRo256PlusPlus - Class in org.apache.commons.rng.core.source64

A fast all-purpose 64-bit generator.

XoShiRo256PlusPlus(long[]) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo256PlusPlus

Creates a new instance.

XoShiRo256PlusPlus(long, long, long, long) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo256PlusPlus

Creates a new instance using a 4 element seed.

XoShiRo256PlusPlus(XoShiRo256PlusPlus) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo256PlusPlus

Creates a copy instance.

XoShiRo256StarStar - Class in org.apache.commons.rng.core.source64

A fast all-purpose 64-bit generator.

XoShiRo256StarStar(long[]) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo256StarStar

Creates a new instance.

XoShiRo256StarStar(long, long, long, long) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo256StarStar

Creates a new instance using a 4 element seed.

XoShiRo256StarStar(XoShiRo256StarStar) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo256StarStar

Creates a copy instance.

XoShiRo512Plus - Class in org.apache.commons.rng.core.source64

A fast 64-bit generator suitable for double generation.

XoShiRo512Plus(long[]) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo512Plus

Creates a new instance.

XoShiRo512Plus(long, long, long, long, long, long, long, long) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo512Plus

Creates a new instance using an 8 element seed.

XoShiRo512Plus(XoShiRo512Plus) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo512Plus

Creates a copy instance.

XoShiRo512PlusPlus - Class in org.apache.commons.rng.core.source64

A fast all-purpose generator.

XoShiRo512PlusPlus(long[]) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo512PlusPlus

Creates a new instance.

XoShiRo512PlusPlus(long, long, long, long, long, long, long, long) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo512PlusPlus

Creates a new instance using an 8 element seed.

XoShiRo512PlusPlus(XoShiRo512PlusPlus) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo512PlusPlus

Creates a copy instance.

XoShiRo512StarStar - Class in org.apache.commons.rng.core.source64

A fast all-purpose generator.

XoShiRo512StarStar(long[]) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo512StarStar

Creates a new instance.

XoShiRo512StarStar(long, long, long, long, long, long, long, long) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo512StarStar

Creates a new instance using an 8 element seed.

XoShiRo512StarStar(XoShiRo512StarStar) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo512StarStar

Creates a copy instance.

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

Create an instance.

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 distribution.

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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