package umontreal.iro.lecuyer.randvar;
import umontreal.iro.lecuyer.rng.*;
import umontreal.iro.lecuyer.probdist.*;


@Deprecated
/**
 * This class has been replaced by {@link GumbelGen}.
 * 
 * 

* This class implements random variate generators for the Gumbel * (or extreme value) distribution. Its density is *

*

*
* f (x) = λe-e-λ(x-α)-λ(x-α) *

* where λ > 0. * *

* The (non-static) nextDouble method simply calls inverseF on the * distribution. * */ public class ExtremeValueGen extends RandomVariateGen { protected double alpha = -1.0; protected double lambda = -1.0; /** * Creates an extreme value random variate generator with * parameters α = alpha and λ = lambda, * using stream s. * */ public ExtremeValueGen (RandomStream s, double alpha, double lambda) { super (s, new ExtremeValueDist(alpha, lambda)); setParams (alpha, lambda); } /** * Creates an extreme value random variate generator with * parameters * α = 0 and * λ = 1, using stream s. * */ public ExtremeValueGen (RandomStream s) { this (s, 0.0, 1.0); } /** * Creates a new generator object for distribution dist and * stream s. * */ public ExtremeValueGen (RandomStream s, ExtremeValueDist dist) { super (s, dist); if (dist != null) setParams (dist.getAlpha(), dist.getLambda()); } /** * Uses inversion to generate a new variate from the extreme value * distribution with parameters α = alpha and λ = lambda, using stream s. * */ public static double nextDouble (RandomStream s, double alpha, double lambda) { return ExtremeValueDist.inverseF (alpha, lambda, s.nextDouble()); } /** * Returns the parameter α of this object. * */ public double getAlpha() { return alpha; } /** * Returns the parameter λ of this object. * * */ public double getLambda() { return lambda; } /** * Sets the parameter α and λ of this object. * */ protected void setParams (double alpha, double lambda) { if (lambda <= 0.0) throw new IllegalArgumentException ("lambda <= 0"); this.lambda = lambda; this.alpha = alpha; } }

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