org.apache.commons.rng.sampling.distribution

Class BoxMullerLogNormalSampler

java.lang.Object

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

org.apache.commons.rng.sampling.distribution.BoxMullerLogNormalSampler

All Implemented Interfaces:

ContinuousSampler

public class BoxMullerLogNormalSampler
extends SamplerBase
implements ContinuousSampler

Box-Muller algorithm for sampling from a Log normal distribution.

Constructor Summary

Constructors

Constructor and Description
BoxMullerLogNormalSampler(UniformRandomProvider rng, double scale, double shape)

Method Summary

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

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

nextDouble, nextInt, nextInt

Methods inherited from class java.lang.Object

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

Constructor Detail

BoxMullerLogNormalSampler

public BoxMullerLogNormalSampler(UniformRandomProvider rng,
                                 double scale,
                                 double shape)

Parameters:

rng - Generator of uniformly distributed random numbers.

scale - Scale of the Log normal distribution.

shape - Shape of the Log normal distribution.

Method Detail

sample

public double sample()

Creates a sample.

Specified by:

sample in interface ContinuousSampler

Returns:

a sample.

toString

public String toString()

Overrides:

toString in class SamplerBase