All Classes

Class Summary

Class	Description
AbstractBenchmark	Declares the JMH annotations for the benchmarks to compare the speed of generation of random numbers from the various source providers for UniformRandomProvider.
AliasMethodDiscreteSamplerPerformance	Executes benchmark to test the AliasMethodDiscreteSampler using different zero padding on the input probability distribution.
AliasMethodDiscreteSamplerPerformance.DistributionData	The discrete probability distribution and a sampler.
BaselineGenerationPerformance	Benchmarks to check linearity in the baseline implementations of UniformRandomProvider.
BaselineSources	A benchmark state that can retrieve the various generators defined by RandomSource values.
BaselineUtils	Defines baseline implementations for the UniformRandomProvider.
CachedNextGenerationPerformance	Executes a benchmark to compare the speed of generation of random numbers from the various source providers using the bit cache verses simple generation.
CachedNextGenerationPerformance.BooleanSources	Provides a function to obtain a boolean value from the various "RandomSource"s.
CachedNextGenerationPerformance.IntSources	Provides a function to obtain an int value from the various "RandomSource"s that produce 64-bit output.
ConstructionPerformance	Executes a benchmark to compare the speed of construction of random number providers.
ConstructionPerformance.IntSizes	The number of int values that are required to seed a generator.
ConstructionPerformance.LongSizes	The number of long values that are required to seed a generator.
ConstructionPerformance.Sources	The benchmark state (retrieve the various "RandomSource"s).
ContinuousSamplersPerformance	Executes benchmark to compare the speed of generation of random numbers from the various source providers for different types of ContinuousSampler.
ContinuousSamplersPerformance.Sources	The ContinuousSampler samplers to use for testing.
DiscreteSamplersPerformance	Executes benchmark to compare the speed of generation of random numbers from the various source providers for different types of DiscreteSampler.
DiscreteSamplersPerformance.Sources	The DiscreteSampler samplers to use for testing.
DiscreteUniformSamplerGenerationPerformance	Executes benchmark to compare the speed of generation of integer numbers in a positive range using the DiscreteUniformSampler or UniformRandomProvider.nextInt(int).
DiscreteUniformSamplerGenerationPerformance.IntRange	The upper range for the int generation.
DiscreteUniformSamplerGenerationPerformance.Sources	The benchmark state (retrieve the various "RandomSource"s).
EnumeratedDistributionSamplersPerformance	Executes benchmark to compare the speed of generation of random numbers from an enumerated discrete probability distribution.
EnumeratedDistributionSamplersPerformance.DirichletDistributionSources	Sample random probability arrays from a Dirichlet distribution.
EnumeratedDistributionSamplersPerformance.FastLoadedDiceRollerDiscreteSamplerSources	The FastLoadedDiceRollerDiscreteSampler samplers to use for testing.
EnumeratedDistributionSamplersPerformance.KnownDistributionSources	Define known probability distributions for testing.
EnumeratedDistributionSamplersPerformance.LocalRandomSources	The random sources to use for testing.
EnumeratedDistributionSamplersPerformance.RandomDistributionSources	Define random probability distributions of known size for testing.
EnumeratedDistributionSamplersPerformance.SamplerSources	The DiscreteSampler samplers to use for testing.
FloatingPointGenerationPerformance	Executes benchmark to compare the speed of generation of floating point numbers from the integer primitives.
FloatingPointGenerationPerformance.LongSource	Mimic the generation of the SplitMix64 algorithm.
GeometricSamplersPerformance	Executes a benchmark to compare the speed of generation of Geometric random numbers using different methods.
GeometricSamplersPerformance.Sources	The samplers's to use for testing.
JumpBenchmark	Executes benchmark for jump operations of jumpable RNGs.
JumpBenchmark.BaseJumpableSource	Encapsulates a method to jump an RNG.
JumpBenchmark.JumpableSource	Exercise the JumpableUniformRandomProvider.jump() function.
JumpBenchmark.LongJumpableSource	Exercise the LongJumpableUniformRandomProvider.longJump() function.
LevySamplersPerformance	Executes a benchmark to compare the speed of generation of Levy distributed random numbers using different methods.
LevySamplersPerformance.Sources	The samplers's to use for testing.
ListShuffleBenchmark	Executes benchmark to compare the speed of shuffling a List.
ListShuffleBenchmark.LinkedListData	The LinkedList to shuffle.
ListShuffleBenchmark.ListData	The list to shuffle.
ListShuffleBenchmark.ShuffleData	The data for the shuffle.
LXMBenchmark	Executes a benchmark for operations used in the LXM family of RNGs.
LXMBenchmark.LCG128Source	Encapsulates a method to compute an update step on a 128-bit linear congruential generator (LCG).
LXMBenchmark.LXM128Source	Encapsulates a method to compute an update step on an LXM generator with a 128-bit Linear Congruential Generator.
LXMBenchmark.UnsignedMultiply128Source	Encapsulates a method to compute an unsigned multiply of two 128-bit values to create a truncated 128-bit result.
LXMBenchmark.UnsignedMultiplyHighSource	Encapsulates a method to compute an unsigned multiply of 64-bit values to create the upper and optionally low 64-bits of the 128-bit result.
NextBooleanGenerationPerformance	Executes benchmark to compare the speed of generation of random numbers from the various source providers for UniformRandomProvider.nextBoolean().
NextBooleanGenerationPerformance.Sources	The benchmark state (retrieve the various "RandomSource"s).
NextBytesGenerationPerformance	Executes benchmark to compare the speed of generation of random numbers from the various source providers for UniformRandomProvider.nextBytes(byte[]).
NextBytesGenerationPerformance.Sources	The benchmark state (retrieve the various "RandomSource"s).
NextDoubleGenerationPerformance	Executes benchmark to compare the speed of generation of random numbers from the various source providers for UniformRandomProvider.nextDouble().
NextDoubleGenerationPerformance.Sources	The benchmark state (retrieve the various "RandomSource"s).
NextFloatGenerationPerformance	Executes benchmark to compare the speed of generation of random numbers from the various source providers for UniformRandomProvider.nextFloat().
NextFloatGenerationPerformance.Sources	The benchmark state (retrieve the various "RandomSource"s).
NextGaussianPerformance	Benchmark to compare the speed of generation of normally-distributed random numbers of Random.nextGaussian() against implementations of NormalizedGaussianSampler.
NextGaussianPerformance.JDKSource	The Random to use for testing.
NextGaussianPerformance.Sources	The NormalizedGaussianSampler samplers to use for testing.
NextIntGenerationPerformance	Executes benchmark to compare the speed of generation of random numbers from the various source providers for UniformRandomProvider.nextInt() and UniformRandomProvider.nextInt(int).
NextIntGenerationPerformance.Sources	The benchmark state (retrieve the various "RandomSource"s).
NextLongGenerationPerformance	Executes benchmark to compare the speed of generation of random numbers from the various source providers for UniformRandomProvider.nextLong() and UniformRandomProvider.nextLong(long).
NextLongGenerationPerformance.Sources	The benchmark state (retrieve the various "RandomSource"s).
PoissonSamplerCachePerformance	Executes benchmark to compare the speed of generation of Poisson random numbers when using a cache.
PoissonSamplerCachePerformance.MeanRange	The range of mean values for testing the cache.
PoissonSamplerCachePerformance.Sources	The benchmark state (retrieve the various "RandomSource"s).
PoissonSamplersPerformance	Executes benchmark to compare the speed of generation of Poisson distributed random numbers.
PoissonSamplersPerformance.Means	The mean for the call to Math.exp(double).
PoissonSamplersPerformance.Sources	The DiscreteSampler samplers to use for testing.
RandomSources	A benchmark state that can retrieve the various generators defined by RandomSource values.
RandomSourceValues	A benchmark state that can retrieve the various RandomSource values.
RngNextIntInRangeBenchmark	Executes benchmark to compare the speed of random number generators to create an int value in a range.
RngNextIntInRangeBenchmark.IntData	The data used for the shuffle benchmark.
RngNextIntInRangeBenchmark.IntRange	The upper range for the int generation.
RngNextIntInRangeBenchmark.Source	The source generator.
SeedArrayGenerationPerformance	Executes a benchmark to compare the speed of generating an array of int/long values in a thread-safe way.
SeedArrayGenerationPerformance.SeedRandomSources	The RandomSource to test.
SeedArrayGenerationPerformance.SeedSizes	The number of values that are required to seed a generator.
SeedArrayGenerationPerformance.TestSizes	Define the number of seed values to create and the number to compute per synchronisation on the generator.
SeedGenerationPerformance	Executes a benchmark to compare the speed of generating a single int/long value in a thread-safe way.
StableSamplerPerformance	Executes a benchmark to compare the speed of generation of stable random numbers using different methods.
StableSamplerPerformance.Alpha1StableSamplerSource	Sampling with alpha = 1 and beta != 0.
StableSamplerPerformance.BaselineSamplerSource	Baseline with an exponential deviate and a uniform deviate.
StableSamplerPerformance.Beta0StableSamplerSource	Sampling with alpha != 1 and beta = 0.
StableSamplerPerformance.D2Source	Source for testing implementations of (exp(x) - 1) / x.
StableSamplerPerformance.GeneralStableSamplerSource	Sampling with alpha != 1 and beta != 0.
StableSamplerPerformance.SamplerSource	Defines the RandomSource for testing a ContinuousSampler.
StableSamplerPerformance.StableSamplerSource	The sampler to use for testing.
StableSamplerPerformance.TanSource	Source for testing implementations of tan(x) / x.
StableSamplerPerformance.UniformRandomSource	Source for a uniform random deviate in an open interval, e.g.
TetrahedronSamplerBenchmark	Executes benchmark to compare the speed of generating samples within a tetrahedron.
TetrahedronSamplerBenchmark.SamplerData	Contains the sampler and the number of samples.
ThreadLocalPerformance	Executes benchmark to compare the speed of generation of low frequency random numbers on multiple-threads.
ThreadLocalPerformance.LocalSources	The benchmark state (to retrieve the various "RandomSource"s thread locally).
ThreadLocalPerformance.Sources	The benchmark state (to retrieve the various "RandomSource"s).
TriangleSamplerBenchmark	Executes benchmark to compare the speed of generating samples within an N-dimension triangle.
TriangleSamplerBenchmark.Sampler2D	The 2D triangle sampler.
TriangleSamplerBenchmark.Sampler3D	The 3D triangle sampler.
TriangleSamplerBenchmark.SamplerData	Base class for the sampler data.
TriangleSamplerBenchmark.SamplerND	The ND triangle sampler.
UnitBallSamplerBenchmark	Executes benchmark to compare the speed of generating samples within an N-dimension unit ball.
UnitBallSamplerBenchmark.Sampler1D	The 1D unit line sampler.
UnitBallSamplerBenchmark.Sampler2D	The 2D unit disk sampler.
UnitBallSamplerBenchmark.Sampler3D	The 3D unit ball sampler.
UnitBallSamplerBenchmark.SamplerData	Base class for the sampler data.
UnitBallSamplerBenchmark.SamplerND	The ND unit ball sampler.
UnitSphereSamplerBenchmark	Executes benchmark to compare the speed of generating samples on the surface of an N-dimension unit sphere.
UnitSphereSamplerBenchmark.Sampler1D	The 1D unit line sampler.
UnitSphereSamplerBenchmark.Sampler2D	The 2D unit circle sampler.
UnitSphereSamplerBenchmark.Sampler3D	The 3D unit sphere sampler.
UnitSphereSamplerBenchmark.Sampler4D	The 4D unit hypersphere sampler.
UnitSphereSamplerBenchmark.SamplerData	Base class for the sampler data.
ZigguratSamplerPerformance	Executes a benchmark to compare the speed of generation of random numbers using variations of the ziggurat method.
ZigguratSamplerPerformance.DiffSources	Defines method to use for creating two random long values in ascending order.
ZigguratSamplerPerformance.ExpSources	Defines method to use for computing exp(x) when -8 <= x <= 0.
ZigguratSamplerPerformance.IndexCompareSources	Defines method to use for creating an index values from a random long and comparing it to an int limit.
ZigguratSamplerPerformance.IndexSources	Defines method to use for creating int index values from a random long.
ZigguratSamplerPerformance.InterpolationSources	Defines method to use for interpolating the X or Y tables from unsigned long values.
ZigguratSamplerPerformance.LongSources	Defines method to use for creating unsigned long values.
ZigguratSamplerPerformance.SequentialSources	The samplers to use for testing the ziggurat method with sequential sample generation.
ZigguratSamplerPerformance.SignBitSources	Defines method to extract a sign bit from a long value.
ZigguratSamplerPerformance.SingleSources	The samplers to use for testing the ziggurat method with single sample generation.
ZigguratSamplerPerformance.Sources	The samplers to use for testing the ziggurat method.