org.apache.commons.rng.sampling.distribution

Class SamplerBase

java.lang.Object

org.apache.commons.rng.sampling.distribution.SamplerBase

Direct Known Subclasses:

AhrensDieterExponentialSampler, AhrensDieterMarsagliaTsangGammaSampler, BoxMullerGaussianSampler, BoxMullerLogNormalSampler, ChengBetaSampler, ContinuousUniformSampler, DiscreteUniformSampler, InverseTransformContinuousSampler, InverseTransformDiscreteSampler, InverseTransformParetoSampler, PoissonSampler, RejectionInversionZipfSampler

public class SamplerBase
extends Object

Base class for a sampler.

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	SamplerBase(UniformRandomProvider rng)

Method Summary

Modifier and Type	Method and Description
protected double	nextDouble()
protected int	nextInt()
protected int	nextInt(int max)
String	toString()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

SamplerBase

protected SamplerBase(UniformRandomProvider rng)

Parameters:

rng - Generator of uniformly distributed random numbers.

Method Detail

nextDouble

protected double nextDouble()

Returns:

a random value from a uniform distribution in the interval [0, 1).

nextInt

protected int nextInt()

Returns:

a random int value.

nextInt

protected int nextInt(int max)

Parameters:

max - Upper bound (excluded).

Returns:

a random int value in the interval [0, max).

toString

public String toString()

Overrides:

toString in class Object