Package | Description |
---|---|
org.apache.commons.rng.sampling.distribution |
Distribution samplers
|
Class | Description |
---|---|
ContinuousInverseCumulativeProbabilityFunction |
Interface for a continuous distribution that can be sampled using
the
inversion method.
|
ContinuousSampler |
Sampler that generates values of type
double . |
DiscreteInverseCumulativeProbabilityFunction |
Interface for a discrete distribution that can be sampled using
the
inversion method.
|
DiscreteSampler |
Sampler that generates values of type
int . |
NormalizedGaussianSampler |
Marker interface for a sampler that generates values from an N(0,1)
Gaussian distribution.
|
PoissonSamplerCache |
Create a sampler for the
Poisson
distribution using a cache to minimise construction cost.
|
SamplerBase |
Deprecated.
Since version 1.1. Class intended for internal use only.
|
SharedStateContinuousSampler |
Sampler that generates values of type
double and can create new instances to sample
from the same state with a given source of randomness. |
SharedStateDiscreteSampler |
Sampler that generates values of type
int and can create new instances to sample
from the same state with a given source of randomness. |
Copyright © 2016–2019 The Apache Software Foundation. All rights reserved.