Uses of Class
org.apache.commons.rng.sampling.distribution.MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler
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Packages that use MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler Package Description org.apache.commons.rng.sampling.distribution This package contains classes for sampling from statistical distributions. -
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Uses of MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler in org.apache.commons.rng.sampling.distribution
Subclasses of MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler in org.apache.commons.rng.sampling.distribution Modifier and Type Class Description private static class
MarsagliaTsangWangDiscreteSampler.Binomial.MarsagliaTsangWangFixedResultBinomialSampler
Return a fixed result for the Binomial distribution.private static class
MarsagliaTsangWangDiscreteSampler.Binomial.MarsagliaTsangWangInversionBinomialSampler
Return an inversion result for the Binomial distribution.private static class
MarsagliaTsangWangDiscreteSampler.MarsagliaTsangWangBase64Int16DiscreteSampler
An implementation for the sample algorithm based on the decomposition of the index in the range[0,2^30)
into 5 base-64 digits with 16-bit backing storage.private static class
MarsagliaTsangWangDiscreteSampler.MarsagliaTsangWangBase64Int32DiscreteSampler
An implementation for the sample algorithm based on the decomposition of the index in the range[0,2^30)
into 5 base-64 digits with 32-bit backing storage.private static class
MarsagliaTsangWangDiscreteSampler.MarsagliaTsangWangBase64Int8DiscreteSampler
An implementation for the sample algorithm based on the decomposition of the index in the range[0,2^30)
into 5 base-64 digits with 8-bit backing storage.Constructors in org.apache.commons.rng.sampling.distribution with parameters of type MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler Constructor Description AbstractMarsagliaTsangWangDiscreteSampler(UniformRandomProvider rng, MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler source)
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