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SSJ is a Java library for stochastic simulation, developed under the direction of Pierre L'Ecuyer, in the Département d'Informatique et de Recherche Opérationnelle (DIRO), at the Université de Montréal. It provides facilities for generating uniform and nonuniform random variates, computing different measures related to probability distributions, performing goodness-of-fit tests, applying quasi-Monte Carlo methods, collecting (elementary) statistics, and programming discrete-event simulations with both events and processes.

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/*
 * Class:        RandomShift
 * Description:  Applies a random shift on a point set
 * Environment:  Java
 * Software:     SSJ 
 * Copyright (C) 2001  Pierre L'Ecuyer and Université de Montréal
 * Organization: DIRO, Université de Montréal
 * @author       
 * @since

 * SSJ is free software: you can redistribute it and/or modify it under
 * the terms of the GNU General Public License (GPL) as published by the
 * Free Software Foundation, either version 3 of the License, or
 * any later version.

 * SSJ is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.

 * A copy of the GNU General Public License is available at
   GPL licence site.
 */

package umontreal.iro.lecuyer.hups;

 import umontreal.iro.lecuyer.rng.RandomStream;


/**
 * This class implements a
 * {@link umontreal.iro.lecuyer.hups.PointSetRandomization PointSetRandomization}.
 * The {@link umontreal.iro.lecuyer.rng.RandomStream RandomStream} is
 * stored internally. The method {@link #randomize(PointSet) randomize} simply
 * calls
 * {@link umontreal.iro.lecuyer.hups.PointSet#addRandomShift(RandomStream) addRandomShift}(stream).
 * 
 * 

* This class can be used as a base class to implement a specific * randomization by overriding method {@link #randomize(PointSet) randomize}. * */ public class RandomShift implements PointSetRandomization { protected RandomStream stream; /** * Empty constructor. * */ public RandomShift() { } /** * Sets the internal * {@link umontreal.iro.lecuyer.rng.RandomStream RandomStream} to stream. * * @param stream stream to use in the randomization * */ public RandomShift (RandomStream stream) { this.stream = stream; } /** * This method calls * {@link umontreal.iro.lecuyer.hups.PointSet#addRandomShift(RandomStream) addRandomShift} (stream). * * @param p Point set to randomize * * */ public void randomize (PointSet p) { p.addRandomShift(stream); } /** * Sets the internal * {@link umontreal.iro.lecuyer.rng.RandomStream RandomStream} to * stream. * * @param stream stream to use in the randomization * * */ public void setStream (RandomStream stream) { this.stream = stream; } /** * Returns the internal * {@link umontreal.iro.lecuyer.rng.RandomStream RandomStream}. * * @return stream used in the randomization * */ public RandomStream getStream() { return stream; } }





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