/**
* Replication Benchmarker
* https://github.com/score-team/replication-benchmarker/
* Copyright (C) 2013 LORIA / Inria / SCORE Team
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program 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.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
package crdt.simulator.random;
import java.util.Random;
/**
* A random with an helper to generate gaussian random numbers.s
* @author urso
*/
public class RandomGauss extends Random {
public RandomGauss() {
super();
}
public RandomGauss(long seed) {
super(seed);
}
/**
* Returns the next strictly positive pseudorandom, Gaussian ("normally")
* distributed double value with the specified mean and the specified
* standard deviation from this random number generator's sequence.
*
* @param mean
* the mean
* @param sdv
* the standard deviation
* @return the next pseudorandom, Gaussian ("normally") distributed strictly
* positive double value
*/
public double nextGaussian(double mean, double sdv) {
double x;
do {
x = (this.nextGaussian() * sdv) + mean;
} while (x <= 0);
return x;
}
/**
* Returns the next strictly positive pseudorandom, Gaussian ("normally")
* distributed double value with the specified mean and the specified
* standard deviation from this random number generator's sequence.
* @param mean the mean
* @param sdv the standard deviation
* @return the next pseudorandom, Gaussian ("normally") distributed strictly positive double value
*/
public long nextLongGaussian(double mean, double sdv) {
return 1+ (long) nextGaussian(mean-1, sdv);
}
}