jasima.core.random.continuous.DblTriangular Maven / Gradle / Ivy
/*******************************************************************************
* This file is part of jasima, v1.3, the Java simulator for manufacturing and
* logistics.
*
* Copyright (c) 2015 jasima solutions UG
* Copyright (c) 2010-2015 Torsten Hildebrandt and jasima contributors
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero 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 Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see .
*******************************************************************************/
package jasima.core.random.continuous;
import jasima.core.util.Pair;
/**
* Returns a random real number following a triangular
* distribution as defined by the three parameters min, mode, and max.
*
* @author Torsten Hildebrandt
* @version
* "$Id: DblTriangular.java 753 2015-07-27 15:29:49Z [email protected] $"
*/
public class DblTriangular extends DblStream {
private static final long serialVersionUID = -8098960209631757070L;
// parameters with some arbitrary default values
private double min = 0.0;
private double mode = 5.0;
private double max = 10.0;
// constants derived from parameters
private double critValue, range, minDist, maxDist;
public DblTriangular(double min, double mode, double max) {
super();
setMin(min);
setMode(mode);
setMax(max);
}
private void calcInternalValues() {
range = (max - min);
minDist = (mode - min);
maxDist = (max - mode);
critValue = minDist / range;
}
@Override
public double nextDbl() {
double rnd = rndGen.nextDouble();
// inverse of CDF
double v;
if (rnd <= critValue) {
v = getMin() + Math.sqrt(range * minDist * rnd);
} else {
v = getMax() - Math.sqrt(range * maxDist * (1.0 - rnd));
}
return v;
}
@Override
public double getNumericalMean() {
return (getMin() + getMode() + getMax()) / 3.0;
}
@Override
public String toString() {
return "DblTriangular(min=" + min + ";mode=" + mode + ";max=" + max
+ ")";
}
@Override
public Pair getValueRange() {
return new Pair<>(getMin(), getMax());
}
public double getMin() {
return min;
}
public void setMin(double min) {
this.min = min;
calcInternalValues();
}
public double getMode() {
return mode;
}
public void setMode(double mode) {
this.mode = mode;
calcInternalValues();
}
public double getMax() {
return max;
}
public void setMax(double max) {
this.max = max;
calcInternalValues();
}
}