| Package | Description |
|---|---|
| org.apache.commons.rng.sampling.distribution |
Distribution samplers
|
| Modifier and Type | Class and Description |
|---|---|
class |
AhrensDieterExponentialSampler
Sampling from an exponential distribution.
|
class |
AhrensDieterMarsagliaTsangGammaSampler
Sampling from the Gamma distribution.
|
class |
BoxMullerGaussianSampler
Deprecated.
since v1.1. Please use
BoxMullerNormalizedGaussianSampler
and GaussianSampler instead. |
class |
BoxMullerNormalizedGaussianSampler
Box-Muller algorithm for sampling from Gaussian distribution with
mean 0 and standard deviation 1.
|
class |
ChengBetaSampler
Utility class implementing Cheng's algorithms for beta distribution sampling.
|
class |
ContinuousUniformSampler
Sampling from a uniform distribution.
|
class |
DiscreteUniformSampler
Discrete uniform distribution sampler.
|
class |
InverseTransformContinuousSampler
Distribution sampler that uses the
inversion method.
|
class |
InverseTransformDiscreteSampler
Distribution sampler that uses the
inversion method.
|
class |
InverseTransformParetoSampler
Sampling from a Pareto distribution.
|
class |
MarsagliaNormalizedGaussianSampler
Marsaglia polar method for sampling from a Gaussian distribution
with mean 0 and standard deviation 1.
|
class |
PoissonSampler
Sampler for the Poisson distribution.
|
class |
RejectionInversionZipfSampler
Implementation of the Zipf distribution.
|
class |
ZigguratNormalizedGaussianSampler
Marsaglia and Tsang "Ziggurat" method for sampling from a Gaussian
distribution with mean 0 and standard deviation 1.
|
Copyright © 2016–2018 The Apache Software Foundation. All rights reserved.