Package org.apache.commons.rng.examples.jmh.sampling.distribution

Benchmarks for the org.apache.commons.rng.sampling.distribution components.

Class Summary

Class	Description
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.
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.
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.
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.
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.
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.
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.
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.