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 Details

    • 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.
      Throws:
      java.lang.IllegalArgumentException - if standardDeviation <= 0

  • Method Details

    • 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