Package org.apache.commons.rng.sampling.distribution

Class AhrensDieterExponentialSampler

java.lang.Object

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

org.apache.commons.rng.sampling.distribution.AhrensDieterExponentialSampler

All Implemented Interfaces:

ContinuousSampler

public class AhrensDieterExponentialSampler
extends SamplerBase
implements ContinuousSampler

Sampling from an exponential distribution.

Since:

1.0

Constructor Summary

Constructors

Constructor	Description
AhrensDieterExponentialSampler(org.apache.commons.rng.UniformRandomProvider rng, double mean)

Method Summary

Modifier and Type	Method	Description
double	sample()	Creates a sample.
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Methods inherited from class org.apache.commons.rng.sampling.distribution.SamplerBase

nextDouble, nextInt, nextInt, nextLong

Constructor Detail

AhrensDieterExponentialSampler

public AhrensDieterExponentialSampler(org.apache.commons.rng.UniformRandomProvider rng,
                                      double mean)

Parameters:

rng - Generator of uniformly distributed random numbers.

mean - Mean of this distribution.

Method Detail

sample

public double sample()

Creates a sample.

Specified by:

sample in interface ContinuousSampler

Returns:

a sample.

toString

public java.lang.String toString()

Overrides:

toString in class SamplerBase