Uses of Class
org.apache.commons.rng.sampling.distribution.LargeMeanPoissonSampler.LargeMeanPoissonSamplerState
Packages that use LargeMeanPoissonSampler.LargeMeanPoissonSamplerState
Package
Description
This package contains classes for sampling from statistical distributions.
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Uses of LargeMeanPoissonSampler.LargeMeanPoissonSamplerState in org.apache.commons.rng.sampling.distribution
Fields in org.apache.commons.rng.sampling.distribution declared as LargeMeanPoissonSampler.LargeMeanPoissonSamplerStateModifier and TypeFieldDescriptionprivate final LargeMeanPoissonSampler.LargeMeanPoissonSamplerState[]
PoissonSamplerCache.values
The cache of states betweenPoissonSamplerCache.minN
andPoissonSamplerCache.maxN
.Methods in org.apache.commons.rng.sampling.distribution that return LargeMeanPoissonSampler.LargeMeanPoissonSamplerStateModifier and TypeMethodDescription(package private) LargeMeanPoissonSampler.LargeMeanPoissonSamplerState
LargeMeanPoissonSampler.getState()
Gets the initialisation state of the sampler.Constructors in org.apache.commons.rng.sampling.distribution with parameters of type LargeMeanPoissonSampler.LargeMeanPoissonSamplerStateModifierConstructorDescriptionprivate
LargeMeanPoissonSampler
(LargeMeanPoissonSampler.LargeMeanPoissonSamplerState state, double lambdaFractional, UniformRandomProvider rng) Instantiates a sampler using a precomputed state.(package private)
LargeMeanPoissonSampler
(UniformRandomProvider rng, LargeMeanPoissonSampler.LargeMeanPoissonSamplerState state, double lambdaFractional) Instantiates a sampler using a precomputed state.private
PoissonSamplerCache
(int minN, int maxN, LargeMeanPoissonSampler.LargeMeanPoissonSamplerState[] states)