Index (Apache Commons RNG 1.6 API)

A B C D E F G I J K L M N O P R S T U V W X Z
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

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 - Enum constant in enum 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.
ByteArray2IntArray - Class in org.apache.commons.rng.simple.internal: Creates a int[] from a byte[].
ByteArray2IntArray() - Constructor for class org.apache.commons.rng.simple.internal.ByteArray2IntArray: Create an instance.
ByteArray2LongArray - Class in org.apache.commons.rng.simple.internal: Creates a long[] from a byte[].
ByteArray2LongArray() - Constructor for class org.apache.commons.rng.simple.internal.ByteArray2LongArray: Create an instance.

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) - 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.
convert(byte[]) - Method in class org.apache.commons.rng.simple.internal.ByteArray2IntArray: Converts seed from input type to output type.
convert(byte[]) - Method in class org.apache.commons.rng.simple.internal.ByteArray2LongArray: Converts seed from input type to output type.
convert(byte[], int) - Method in enum org.apache.commons.rng.simple.internal.NativeSeedType: Convert the input byte[] seed to the native seed type.
convert(int[]) - Method in class org.apache.commons.rng.simple.internal.IntArray2Int: Converts seed from input type to output type.
convert(int[]) - Method in class org.apache.commons.rng.simple.internal.IntArray2LongArray: Converts seed from input type to output type.
convert(int[], int) - Method in enum org.apache.commons.rng.simple.internal.NativeSeedType: Convert the input int[] seed to the native seed type.
convert(long[]) - Method in class org.apache.commons.rng.simple.internal.LongArray2IntArray: Converts seed from input type to output type.
convert(long[]) - Method in class org.apache.commons.rng.simple.internal.LongArray2Long: Converts seed from input type to output type.
convert(long[], int) - Method in enum org.apache.commons.rng.simple.internal.NativeSeedType: Convert the input long[] seed to the native seed type.
convert(IN) - Method in interface org.apache.commons.rng.simple.internal.SeedConverter: Converts seed from input type to output type.
convert(IN) - Method in class org.apache.commons.rng.simple.internal.SeedConverterComposer: Converts seed from input type to output type.
convert(IN, int) - Method in interface org.apache.commons.rng.simple.internal.Seed2ArrayConverter: Converts seed from input type to output type.
convert(Integer) - Method in class org.apache.commons.rng.simple.internal.Int2Long: Converts seed from input type to output type.
convert(Integer, int) - Method in enum org.apache.commons.rng.simple.internal.NativeSeedType: Convert the input Integer seed to the native seed type.
convert(Long) - Method in class org.apache.commons.rng.simple.internal.Long2Int: Converts seed from input type to output type.
convert(Long) - Method in class org.apache.commons.rng.simple.internal.Long2IntArray: Converts seed from input type to output type.
convert(Long) - Method in class org.apache.commons.rng.simple.internal.Long2LongArray: Converts seed from input type to output type.
convert(Long, int) - Method in class org.apache.commons.rng.simple.internal.Long2IntArray: Converts seed from input type to output type.
convert(Long, int) - Method in class org.apache.commons.rng.simple.internal.Long2LongArray: Converts seed from input type to output type.
convert(Long, int) - Method in enum org.apache.commons.rng.simple.internal.NativeSeedType: Convert the input Long seed to the native seed type.
convert(SEED) - Method in class org.apache.commons.rng.simple.internal.NoOpConverter: Converts seed from input type to output type.
convertSeed(Object) - Method in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Converts a seed from any of the supported seed types to a native seed.
convertSeed(Object, int) - Method in enum org.apache.commons.rng.simple.internal.NativeSeedType: Converts the input seed from any of the supported seed types to the native seed type.
convertSeedToBytes(Object) - Static method in enum org.apache.commons.rng.simple.internal.NativeSeedType: Converts the input seed from any of the supported seed types to bytes.
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(ProviderBuilder.RandomSourceInternal) - Static method in class org.apache.commons.rng.simple.internal.ProviderBuilder: Creates a RNG instance.
create(ProviderBuilder.RandomSourceInternal, Object, Object[]) - Static method in class org.apache.commons.rng.simple.internal.ProviderBuilder: Creates a RNG instance.
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.
createByteArraySeed(UniformRandomProvider) - Method in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Creates a byte[] seed using the provided source of randomness.
createInt() - Static method in class org.apache.commons.rng.simple.internal.SeedFactory: Creates an int number for use as a seed.
createInt() - Static method in enum org.apache.commons.rng.simple.RandomSource: Creates a number for use as a seed.
createIntArray(int) - Static method in class org.apache.commons.rng.simple.internal.SeedFactory: Creates an array of int numbers 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 class org.apache.commons.rng.simple.internal.SeedFactory: Creates a long number 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 class org.apache.commons.rng.simple.internal.SeedFactory: Creates an array of long numbers 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.internal.ProviderBuilder.RandomSourceInternal: Creates a native seed.
createSeed() - Method in enum org.apache.commons.rng.simple.RandomSource: Creates a seed suitable for the implementing class represented by this random source.
createSeed(int) - Method in enum org.apache.commons.rng.simple.internal.NativeSeedType: Creates the seed.
createSeed(int, int, int) - Method in enum org.apache.commons.rng.simple.internal.NativeSeedType: Creates the seed.
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.
createSeedBytes() - Method in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Creates a seed suitable for the implementing class represented by this random source.
createSeedBytes(UniformRandomProvider) - Method in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: 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, double[]) - Constructor for class org.apache.commons.rng.sampling.DiscreteProbabilityCollectionSampler: Creates a sampler.
DiscreteProbabilityCollectionSampler(UniformRandomProvider, Map) - 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) - 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.
getBytes() - Method in enum org.apache.commons.rng.simple.internal.NativeSeedType: Gets the number of bytes required to represent the native seed type.
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.
getRng() - Method in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Gets the implementing class of the random source.
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.PcgXshRr32: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source32.PcgXshRs32: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source32.PcgMcgXshRr32: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source32.PcgMcgXshRs32: 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.XoRoShiRo64Star: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source32.XoRoShiRo64StarStar: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source32.XoShiRo128Plus: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source32.XoShiRo128PlusPlus: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source32.XoShiRo128StarStar: 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.L64X128Mix: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source64.L64X128StarStar: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo1024PlusPlus: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo1024Star: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo1024StarStar: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128Plus: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128PlusPlus: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128StarStar: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source64.XoShiRo256Plus: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source64.XoShiRo256PlusPlus: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source64.XoShiRo256StarStar: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source64.XoShiRo512Plus: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source64.XoShiRo512PlusPlus: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source64.XoShiRo512StarStar: 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.
getType() - Method in enum org.apache.commons.rng.simple.internal.NativeSeedType: Gets the class type of the native seed.
GUIDE_TABLE - Enum constant in enum 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.
INT - Enum constant in enum org.apache.commons.rng.simple.internal.NativeSeedType: The seed type is Integer.
INT_ARRAY - Enum constant in enum org.apache.commons.rng.simple.internal.NativeSeedType: The seed type is int[].
Int2Long - Class in org.apache.commons.rng.simple.internal: Converts a Integer to an Long.
Int2Long() - Constructor for class org.apache.commons.rng.simple.internal.Int2Long: Create an instance.
IntArray2Int - Class in org.apache.commons.rng.simple.internal: Creates a single value by "xor" of all the values in the input array.
IntArray2Int() - Constructor for class org.apache.commons.rng.simple.internal.IntArray2Int: Create an instance.
IntArray2LongArray - Class in org.apache.commons.rng.simple.internal: Creates a long[] from an int[].
IntArray2LongArray() - Constructor for class org.apache.commons.rng.simple.internal.IntArray2LongArray: Create an instance.
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 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is ISAACRandom.
ISAAC - Enum constant in enum 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.
isNativeSeed(SEED) - Method in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: 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 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is JDKRandom.
JDK - Enum constant in enum 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 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is JenkinsSmallFast32.
JSF_32 - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is JenkinsSmallFast32.
JSF_64 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is JenkinsSmallFast64.
JSF_64 - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is JenkinsSmallFast64.
jump() - Method in class org.apache.commons.rng.core.source32.XoShiRo128Plus: Creates a copy of the UniformRandomProvider and then advances the state of the current instance.
jump() - Method in class org.apache.commons.rng.core.source32.XoShiRo128PlusPlus: Creates a copy of the UniformRandomProvider and then advances the state of the current instance.
jump() - Method in class org.apache.commons.rng.core.source32.XoShiRo128StarStar: Creates a copy of the UniformRandomProvider and then advances the state of the current instance.
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.L64X128Mix: 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.L64X128StarStar: 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.XoRoShiRo1024PlusPlus: 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.XoRoShiRo1024Star: 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.XoRoShiRo1024StarStar: 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.XoRoShiRo128Plus: 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.XoRoShiRo128StarStar: 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.XoShiRo256Plus: 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.XoShiRo256PlusPlus: 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.XoShiRo256StarStar: 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.XoShiRo512Plus: 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.XoShiRo512PlusPlus: 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.XoShiRo512StarStar: 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.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 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is KISSRandom.
KISS - Enum constant in enum 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 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is L128X1024Mix.
L128_X1024_MIX - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is L128X1024Mix.
L128_X128_MIX - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is L128X128Mix.
L128_X128_MIX - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is L128X128Mix.
L128_X256_MIX - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is L128X256Mix.
L128_X256_MIX - Enum constant in enum 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 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is L32X64Mix.
L32_X64_MIX - Enum constant in enum 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 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is L64X1024Mix.
L64_X1024_MIX - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is L64X1024Mix.
L64_X128_MIX - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is L64X128Mix.
L64_X128_MIX - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is L64X128Mix.
L64_X128_SS - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is L64X128StarStar.
L64_X128_SS - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is L64X128StarStar.
L64_X256_MIX - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is L64X256Mix.
L64_X256_MIX - Enum constant in enum 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.
la - Variable in class org.apache.commons.rng.core.source64.L64X1024Mix: Per-instance LCG additive parameter (must be odd).
la - Variable in class org.apache.commons.rng.core.source64.L64X128Mix: Per-instance LCG additive parameter (must be odd).
la - Variable in class org.apache.commons.rng.core.source64.L64X128StarStar: Per-instance LCG additive parameter (must be odd).
la - Variable in class org.apache.commons.rng.core.source64.L64X256Mix: Per-instance LCG additive parameter (must be odd).
lah - Variable in class org.apache.commons.rng.core.source64.L128X1024Mix: High half of the 128-bit per-instance LCG additive parameter.
lah - Variable in class org.apache.commons.rng.core.source64.L128X128Mix: High half of the 128-bit per-instance LCG additive parameter.
lah - Variable in class org.apache.commons.rng.core.source64.L128X256Mix: High half of the 128-bit per-instance LCG additive parameter.
lal - Variable in class org.apache.commons.rng.core.source64.L128X1024Mix: Low half of the 128-bit per-instance LCG additive parameter (must be odd).
lal - Variable in class org.apache.commons.rng.core.source64.L128X128Mix: Low half of the 128-bit per-instance LCG additive parameter (must be odd).
lal - Variable in class org.apache.commons.rng.core.source64.L128X256Mix: Low half of the 128-bit per-instance LCG additive parameter (must be odd).
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.
LONG - Enum constant in enum org.apache.commons.rng.simple.internal.NativeSeedType: The seed type is Long.
LONG_ARRAY - Enum constant in enum org.apache.commons.rng.simple.internal.NativeSeedType: The seed type is long[].
Long2Int - Class in org.apache.commons.rng.simple.internal: Converts a Long to an Integer.
Long2Int() - Constructor for class org.apache.commons.rng.simple.internal.Long2Int: Create an instance.
Long2IntArray - Class in org.apache.commons.rng.simple.internal: Uses a long value to seed a SplitMix64 RNG and create a int[] with the requested number of random values.
Long2IntArray(int) - Constructor for class org.apache.commons.rng.simple.internal.Long2IntArray: Create an instance.
Long2LongArray - Class in org.apache.commons.rng.simple.internal: Uses a Long value to seed a SplitMix64 RNG and create a long[] with the requested number of random values.
Long2LongArray(int) - Constructor for class org.apache.commons.rng.simple.internal.Long2LongArray: Create an instance.
LongArray2IntArray - Class in org.apache.commons.rng.simple.internal: Creates an int[] from a long[].
LongArray2IntArray() - Constructor for class org.apache.commons.rng.simple.internal.LongArray2IntArray: Create an instance.
LongArray2Long - Class in org.apache.commons.rng.simple.internal: Creates a single value by "xor" of all the values in the input array.
LongArray2Long() - Constructor for class org.apache.commons.rng.simple.internal.LongArray2Long: Create an instance.
longJump() - Method in class org.apache.commons.rng.core.source32.XoShiRo128Plus: Creates a copy of the JumpableUniformRandomProvider and then advances the state of the current instance.
longJump() - Method in class org.apache.commons.rng.core.source32.XoShiRo128PlusPlus: Creates a copy of the JumpableUniformRandomProvider and then advances the state of the current instance.
longJump() - Method in class org.apache.commons.rng.core.source32.XoShiRo128StarStar: Creates a copy of the JumpableUniformRandomProvider and then advances the state of the current 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.L64X128Mix: 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.L64X128StarStar: 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.XoRoShiRo1024PlusPlus: Creates a copy of the JumpableUniformRandomProvider and then advances the state of the current instance.
longJump() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo1024Star: Creates a copy of the JumpableUniformRandomProvider and then advances the state of the current instance.
longJump() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo1024StarStar: Creates a copy of the JumpableUniformRandomProvider and then advances the state of the current instance.
longJump() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128Plus: Creates a copy of the JumpableUniformRandomProvider and then advances the state of the current instance.
longJump() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128StarStar: Creates a copy of the JumpableUniformRandomProvider and then advances the state of the current instance.
longJump() - Method in class org.apache.commons.rng.core.source64.XoShiRo256Plus: Creates a copy of the JumpableUniformRandomProvider and then advances the state of the current instance.
longJump() - Method in class org.apache.commons.rng.core.source64.XoShiRo256PlusPlus: Creates a copy of the JumpableUniformRandomProvider and then advances the state of the current instance.
longJump() - Method in class org.apache.commons.rng.core.source64.XoShiRo256StarStar: Creates a copy of the JumpableUniformRandomProvider and then advances the state of the current instance.
longJump() - Method in class org.apache.commons.rng.core.source64.XoShiRo512Plus: Creates a copy of the JumpableUniformRandomProvider and then advances the state of the current instance.
longJump() - Method in class org.apache.commons.rng.core.source64.XoShiRo512PlusPlus: Creates a copy of the JumpableUniformRandomProvider and then advances the state of the current instance.
longJump() - Method in class org.apache.commons.rng.core.source64.XoShiRo512StarStar: Creates a copy of the JumpableUniformRandomProvider and then advances 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 - Enum constant in enum org.apache.commons.rng.sampling.CompositeSamplers.DiscreteProbabilitySampler: Sample using an optimised look-up table (see MarsagliaTsangWangDiscreteSampler.Enumerated).
ls - Variable in class org.apache.commons.rng.core.source64.L64X1024Mix: State of the LCG generator.
ls - Variable in class org.apache.commons.rng.core.source64.L64X128Mix: State of the LCG generator.
ls - Variable in class org.apache.commons.rng.core.source64.L64X128StarStar: State of the LCG generator.
ls - Variable in class org.apache.commons.rng.core.source64.L64X256Mix: State of the LCG generator.
lsh - Variable in class org.apache.commons.rng.core.source64.L128X1024Mix: High half of the 128-bit state of the LCG generator.
lsh - Variable in class org.apache.commons.rng.core.source64.L128X128Mix: High half of the 128-bit state of the LCG generator.
lsh - Variable in class org.apache.commons.rng.core.source64.L128X256Mix: High half of the 128-bit state of the LCG generator.
lsl - Variable in class org.apache.commons.rng.core.source64.L128X1024Mix: Low half of the 128-bit state of the LCG generator.
lsl - Variable in class org.apache.commons.rng.core.source64.L128X128Mix: Low half of the 128-bit state of the LCG generator.
lsl - Variable in class org.apache.commons.rng.core.source64.L128X256Mix: Low half of the 128-bit state of the LCG generator.

M

M - Static variable in class org.apache.commons.rng.core.source64.L64X128Mix: LCG multiplier.
M - Static variable in class org.apache.commons.rng.core.source64.L64X128StarStar: LCG multiplier.
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 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is MiddleSquareWeylSequence.
MSWS - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is MiddleSquareWeylSequence.
MT - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is MersenneTwister.
MT - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is MersenneTwister.
MT_64 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is MersenneTwister64.
MT_64 - Enum constant in enum 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 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is MultiplyWithCarry256.
MWC_256 - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is MultiplyWithCarry256.

N

NativeSeedType - Enum in org.apache.commons.rng.simple.internal: The native seed type.
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.PcgXshRr32: Return the next random value.
next() - Method in class org.apache.commons.rng.core.source32.PcgXshRs32: Return the next random value.
next() - Method in class org.apache.commons.rng.core.source32.PcgMcgXshRr32: Return the next random value.
next() - Method in class org.apache.commons.rng.core.source32.PcgMcgXshRs32: Return the next random value.
next() - Method in class org.apache.commons.rng.core.source32.XoRoShiRo64Star: Return the next random value.
next() - Method in class org.apache.commons.rng.core.source32.XoRoShiRo64StarStar: Return the next random value.
next() - Method in class org.apache.commons.rng.core.source32.XoShiRo128Plus: Return the next random value.
next() - Method in class org.apache.commons.rng.core.source32.XoShiRo128PlusPlus: Return the next random value.
next() - Method in class org.apache.commons.rng.core.source32.XoShiRo128StarStar: Return the next random value.
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.XoRoShiRo1024PlusPlus: Return the next random value.
next() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo1024Star: Return the next random value.
next() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo1024StarStar: Return the next random value.
next() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128Plus: Return the next random value.
next() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128StarStar: Return the next random value.
next() - Method in class org.apache.commons.rng.core.source64.XoShiRo256Plus: Return the next random value.
next() - Method in class org.apache.commons.rng.core.source64.XoShiRo256PlusPlus: Return the next random value.
next() - Method in class org.apache.commons.rng.core.source64.XoShiRo256StarStar: Return the next random value.
next() - Method in class org.apache.commons.rng.core.source64.XoShiRo512Plus: Return the next random value.
next() - Method in class org.apache.commons.rng.core.source64.XoShiRo512PlusPlus: Return the next random value.
next() - Method in class org.apache.commons.rng.core.source64.XoShiRo512StarStar: 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().
NoOpConverter<SEED> - Class in org.apache.commons.rng.simple.internal: Dummy converter that simply passes on its input.
NoOpConverter() - Constructor for class org.apache.commons.rng.simple.internal.NoOpConverter: Create an instance.
NormalizedGaussianSampler - Interface in org.apache.commons.rng.sampling.distribution: Marker interface for a sampler that generates values from an N(0,1) Gaussian distribution.
Note - Section in class org.apache.commons.rng.sampling.distribution.GaussianSampler
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.
org.apache.commons.rng.simple.internal - package org.apache.commons.rng.simple.internal: Utilities for seed conversion.

P

Parallel applications - Section in enum org.apache.commons.rng.simple.RandomSource
PCG_MCG_XSH_RR_32 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is PcgMcgXshRr32.
PCG_MCG_XSH_RR_32 - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is PcgMcgXshRr32.
PCG_MCG_XSH_RS_32 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is PcgMcgXshRs32.
PCG_MCG_XSH_RS_32 - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is PcgMcgXshRs32.
PCG_RXS_M_XS_64 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is PcgRxsMXs64.
PCG_RXS_M_XS_64 - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is PcgRxsMXs64.
PCG_RXS_M_XS_64_OS - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is PcgRxsMXs64.
PCG_RXS_M_XS_64_OS - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is PcgRxsMXs64.
PCG_XSH_RR_32 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is PcgXshRr32.
PCG_XSH_RR_32 - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is PcgXshRr32.
PCG_XSH_RR_32_OS - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is PcgXshRr32.
PCG_XSH_RR_32_OS - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is PcgXshRr32.
PCG_XSH_RS_32 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is PcgXshRs32.
PCG_XSH_RS_32 - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is PcgXshRs32.
PCG_XSH_RS_32_OS - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is PcgXshRs32.
PCG_XSH_RS_32_OS - Enum constant in enum 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.
ProviderBuilder - Class in org.apache.commons.rng.simple.internal: RNG builder.
ProviderBuilder.RandomSourceInternal - Enum in org.apache.commons.rng.simple.internal: Identifiers of the generators.

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, 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.
Seed2ArrayConverter<IN,OUT> - Interface in org.apache.commons.rng.simple.internal: Seed converter to create an output array type.
SeedConverter<IN,OUT> - Interface in org.apache.commons.rng.simple.internal: Seed converter.
SeedConverterComposer<IN,TRANS,OUT> - Class in org.apache.commons.rng.simple.internal: Composes two converters.
SeedConverterComposer(SeedConverter, SeedConverter) - Constructor for class org.apache.commons.rng.simple.internal.SeedConverterComposer: Create an instance.
SeedFactory - Class in org.apache.commons.rng.simple.internal: Utilities related to seeding.
Seeding - Section in enum org.apache.commons.rng.simple.RandomSource
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.PcgXshRr32: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.PcgXshRs32: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.PcgMcgXshRr32: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.PcgMcgXshRs32: 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.XoRoShiRo64Star: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.XoRoShiRo64StarStar: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.XoShiRo128Plus: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.XoShiRo128PlusPlus: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.XoShiRo128StarStar: 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.L64X128Mix: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.L64X128StarStar: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.XoRoShiRo1024PlusPlus: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.XoRoShiRo1024Star: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.XoRoShiRo1024StarStar: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128Plus: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128PlusPlus: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128StarStar: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.XoShiRo256Plus: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.XoShiRo256PlusPlus: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.XoShiRo256StarStar: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.XoShiRo512Plus: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.XoShiRo512PlusPlus: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.XoShiRo512StarStar: 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 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is DotyHumphreySmallFastCounting32.
SFC_32 - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is DotyHumphreySmallFastCounting32.
SFC_64 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is DotyHumphreySmallFastCounting64.
SFC_64 - Enum constant in enum 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) - 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, 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 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is SplitMix64.
SPLIT_MIX_64 - Enum constant in enum 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.
state0 - Variable in class org.apache.commons.rng.core.source32.XoRoShiRo64Star: State 0 of the generator.
state0 - Variable in class org.apache.commons.rng.core.source32.XoRoShiRo64StarStar: State 0 of the generator.
state0 - Variable in class org.apache.commons.rng.core.source32.XoShiRo128Plus: State 0 of the generator.
state0 - Variable in class org.apache.commons.rng.core.source32.XoShiRo128PlusPlus: State 0 of the generator.
state0 - Variable in class org.apache.commons.rng.core.source32.XoShiRo128StarStar: State 0 of the generator.
state0 - Variable in class org.apache.commons.rng.core.source64.XoRoShiRo128Plus: State 0 of the generator.
state0 - Variable in class org.apache.commons.rng.core.source64.XoRoShiRo128PlusPlus: State 0 of the generator.
state0 - Variable in class org.apache.commons.rng.core.source64.XoRoShiRo128StarStar: State 0 of the generator.
state0 - Variable in class org.apache.commons.rng.core.source64.XoShiRo256Plus: State 0 of the generator.
state0 - Variable in class org.apache.commons.rng.core.source64.XoShiRo256PlusPlus: State 0 of the generator.
state0 - Variable in class org.apache.commons.rng.core.source64.XoShiRo256StarStar: State 0 of the generator.
state0 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512Plus: State 0 of the generator.
state0 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512PlusPlus: State 0 of the generator.
state0 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512StarStar: State 0 of the generator.
state1 - Variable in class org.apache.commons.rng.core.source32.XoRoShiRo64Star: State 1 of the generator.
state1 - Variable in class org.apache.commons.rng.core.source32.XoRoShiRo64StarStar: State 1 of the generator.
state1 - Variable in class org.apache.commons.rng.core.source32.XoShiRo128Plus: State 1 of the generator.
state1 - Variable in class org.apache.commons.rng.core.source32.XoShiRo128PlusPlus: State 1 of the generator.
state1 - Variable in class org.apache.commons.rng.core.source32.XoShiRo128StarStar: State 1 of the generator.
state1 - Variable in class org.apache.commons.rng.core.source64.XoRoShiRo128Plus: State 1 of the generator.
state1 - Variable in class org.apache.commons.rng.core.source64.XoRoShiRo128PlusPlus: State 1 of the generator.
state1 - Variable in class org.apache.commons.rng.core.source64.XoRoShiRo128StarStar: State 1 of the generator.
state1 - Variable in class org.apache.commons.rng.core.source64.XoShiRo256Plus: State 1 of the generator.
state1 - Variable in class org.apache.commons.rng.core.source64.XoShiRo256PlusPlus: State 1 of the generator.
state1 - Variable in class org.apache.commons.rng.core.source64.XoShiRo256StarStar: State 1 of the generator.
state1 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512Plus: State 1 of the generator.
state1 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512PlusPlus: State 1 of the generator.
state1 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512StarStar: State 1 of the generator.
state2 - Variable in class org.apache.commons.rng.core.source32.XoShiRo128Plus: State 2 of the generator.
state2 - Variable in class org.apache.commons.rng.core.source32.XoShiRo128PlusPlus: State 2 of the generator.
state2 - Variable in class org.apache.commons.rng.core.source32.XoShiRo128StarStar: State 2 of the generator.
state2 - Variable in class org.apache.commons.rng.core.source64.XoShiRo256Plus: State 2 of the generator.
state2 - Variable in class org.apache.commons.rng.core.source64.XoShiRo256PlusPlus: State 2 of the generator.
state2 - Variable in class org.apache.commons.rng.core.source64.XoShiRo256StarStar: State 2 of the generator.
state2 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512Plus: State 2 of the generator.
state2 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512PlusPlus: State 2 of the generator.
state2 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512StarStar: State 2 of the generator.
state3 - Variable in class org.apache.commons.rng.core.source32.XoShiRo128Plus: State 3 of the generator.
state3 - Variable in class org.apache.commons.rng.core.source32.XoShiRo128PlusPlus: State 3 of the generator.
state3 - Variable in class org.apache.commons.rng.core.source32.XoShiRo128StarStar: State 3 of the generator.
state3 - Variable in class org.apache.commons.rng.core.source64.XoShiRo256Plus: State 3 of the generator.
state3 - Variable in class org.apache.commons.rng.core.source64.XoShiRo256PlusPlus: State 3 of the generator.
state3 - Variable in class org.apache.commons.rng.core.source64.XoShiRo256StarStar: State 3 of the generator.
state3 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512Plus: State 3 of the generator.
state3 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512PlusPlus: State 3 of the generator.
state3 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512StarStar: State 3 of the generator.
state4 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512Plus: State 4 of the generator.
state4 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512PlusPlus: State 4 of the generator.
state4 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512StarStar: State 4 of the generator.
state5 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512Plus: State 5 of the generator.
state5 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512PlusPlus: State 5 of the generator.
state5 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512StarStar: State 5 of the generator.
state6 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512Plus: State 6 of the generator.
state6 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512PlusPlus: State 6 of the generator.
state6 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512StarStar: State 6 of the generator.
state7 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512Plus: State 7 of the generator.
state7 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512PlusPlus: State 7 of the generator.
state7 - Variable in class org.apache.commons.rng.core.source64.XoShiRo512StarStar: State 7 of the generator.
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 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is TwoCmres.
TWO_CMRES - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is TwoCmres.
TWO_CMRES_SELECT - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is TwoCmres with explicit selection of the two subcycle generators.
TWO_CMRES_SELECT - Enum constant in enum 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.internal.NativeSeedType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: 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.internal.NativeSeedType: 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.internal.ProviderBuilder.RandomSourceInternal: 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 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is Well1024a.
WELL_1024_A - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is Well1024a.
WELL_19937_A - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is Well19937a.
WELL_19937_A - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is Well19937a.
WELL_19937_C - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is Well19937c.
WELL_19937_C - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is Well19937c.
WELL_44497_A - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is Well44497a.
WELL_44497_A - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is Well44497a.
WELL_44497_B - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is Well44497b.
WELL_44497_B - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is Well44497b.
WELL_512_A - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is Well512a.
WELL_512_A - Enum constant in enum 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

x0 - Variable in class org.apache.commons.rng.core.source64.L64X128Mix: State 0 of the XBG.
x0 - Variable in class org.apache.commons.rng.core.source64.L64X128StarStar: State 0 of the XBG.
x1 - Variable in class org.apache.commons.rng.core.source64.L64X128Mix: State 1 of the XBG.
x1 - Variable in class org.apache.commons.rng.core.source64.L64X128StarStar: State 1 of the XBG.
XO_RO_SHI_RO_1024_PP - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoRoShiRo1024PlusPlus.
XO_RO_SHI_RO_1024_PP - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is XoRoShiRo1024PlusPlus.
XO_RO_SHI_RO_1024_S - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoRoShiRo1024Star.
XO_RO_SHI_RO_1024_S - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is XoRoShiRo1024Star.
XO_RO_SHI_RO_1024_SS - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoRoShiRo1024StarStar.
XO_RO_SHI_RO_1024_SS - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is XoRoShiRo1024StarStar.
XO_RO_SHI_RO_128_PLUS - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoRoShiRo128Plus.
XO_RO_SHI_RO_128_PLUS - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is XoRoShiRo128Plus.
XO_RO_SHI_RO_128_PP - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoRoShiRo128PlusPlus.
XO_RO_SHI_RO_128_PP - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is XoRoShiRo128PlusPlus.
XO_RO_SHI_RO_128_SS - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoRoShiRo128StarStar.
XO_RO_SHI_RO_128_SS - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is XoRoShiRo128StarStar.
XO_RO_SHI_RO_64_S - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoRoShiRo64Star.
XO_RO_SHI_RO_64_S - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is XoRoShiRo64Star.
XO_RO_SHI_RO_64_SS - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoRoShiRo64StarStar.
XO_RO_SHI_RO_64_SS - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is XoRoShiRo64StarStar.
XO_SHI_RO_128_PLUS - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoShiRo128Plus.
XO_SHI_RO_128_PLUS - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is XoShiRo128Plus.
XO_SHI_RO_128_PP - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoShiRo128PlusPlus.
XO_SHI_RO_128_PP - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is XoShiRo128PlusPlus.
XO_SHI_RO_128_SS - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoShiRo128StarStar.
XO_SHI_RO_128_SS - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is XoShiRo128StarStar.
XO_SHI_RO_256_PLUS - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoShiRo256Plus.
XO_SHI_RO_256_PLUS - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is XoShiRo256Plus.
XO_SHI_RO_256_PP - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoShiRo256PlusPlus.
XO_SHI_RO_256_PP - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is XoShiRo256PlusPlus.
XO_SHI_RO_256_SS - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoShiRo256StarStar.
XO_SHI_RO_256_SS - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is XoShiRo256StarStar.
XO_SHI_RO_512_PLUS - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoShiRo512Plus.
XO_SHI_RO_512_PLUS - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is XoShiRo512Plus.
XO_SHI_RO_512_PP - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoShiRo512PlusPlus.
XO_SHI_RO_512_PP - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is XoShiRo512PlusPlus.
XO_SHI_RO_512_SS - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoShiRo512StarStar.
XO_SHI_RO_512_SS - Enum constant in enum org.apache.commons.rng.simple.RandomSource: Source of randomness is XoShiRo512StarStar.
XOR_SHIFT_1024_S - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XorShift1024Star.
XOR_SHIFT_1024_S - Enum constant in enum 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 - Enum constant in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XorShift1024StarPhi.
XOR_SHIFT_1024_S_PHI - Enum constant in enum 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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