Java source code of 'jhplot.math.num.random.ExponentialRandomVariable'

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package jhplot.math.num.random;

/**
 * 

* A random variable generator for the Exponential distribution. *

*

* References: *

    *
  1. Wikipedia contributors, "Exponential Distribution," Wikipedia, The Free * Encyclopedia, * http://en.wikipedia.org/wiki/Exponential_distribution
  2. *
*

* * @since 1.3 * @version $Revision: 1.4 $ $Date: 2007/11/18 23:51:19 $ */ public class ExponentialRandomVariable extends AbstractContinuousRandomVariable { /** The mean. */ private double mean; /** * Default constructor. Mean is set to 1. */ public ExponentialRandomVariable() { this(1.0); } /** * Create a random variable with the given mean. * * @param m the mean. */ public ExponentialRandomVariable(double m) { this(m, new RandomRNG()); } /** * Create a random variable with the given parameters. * * @param m the mean. * @param source the source generator. */ public ExponentialRandomVariable(double m, RNG source) { super(source); setMean(m); } /** * Access the next random variable using the given generator. * * @param m the mean. * @param source the source generator. * @return the next random variable. */ public static double nextRandomVariable(double m, RNG source) { double u; do { u = source.nextRandomNumber(); } while (u <= 0.0); return -m * Math.log(u); } /** * Access the mean. * * @return the mean. */ private double getMean() { return mean; } /** * Access the next random variable from this generator. * * @return the next random variable. */ public double nextRandomVariable() { return nextRandomVariable(getMean(), getSource()); } /** * Modify the mean. * * @param m the new mean. */ private void setMean(double m) { if (m <= 0.0 || Double.isNaN(m)) { throw new IllegalArgumentException("Mean must be positive."); } this.mean = m; } }