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

Class GaussianSampler

java.lang.Object

org.apache.commons.rng.sampling.distribution.GaussianSampler

All Implemented Interfaces:

ContinuousSampler

public class GaussianSampler
extends java.lang.Object
implements ContinuousSampler

Sampling from a Gaussian distribution with given mean and standard deviation.

Since:

1.1

Constructor Summary

Constructors

Constructor	Description
GaussianSampler(NormalizedGaussianSampler normalized, double mean, double standardDeviation)

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

Constructor Detail

GaussianSampler

public GaussianSampler(NormalizedGaussianSampler normalized,
                       double mean,
                       double standardDeviation)

Parameters:

normalized - Generator of N(0,1) Gaussian distributed random numbers.

mean - Mean of the Gaussian distribution.

standardDeviation - Standard deviation of the Gaussian 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 java.lang.Object