samer@0: /*
samer@0:  *	Copyright (c) 2000, Samer Abdallah, King's College London.
samer@0:  *	All rights reserved.
samer@0:  *
samer@0:  *	This software is provided AS iS and WITHOUT ANY WARRANTY; 
samer@0:  *	without even the implied warranty of MERCHANTABILITY or 
samer@0:  *	FITNESS FOR A PARTICULAR PURPOSE.
samer@0:  */
samer@0: 
samer@0: package samer.maths.random;
samer@0: import  samer.core.*;
samer@0: import  samer.core.types.*;
samer@0: 
samer@0: public class Gaussian extends BaseRandom
samer@0: {
samer@0: 	VDouble	var;
samer@0: 	VDouble	mean;
samer@0: 
samer@0: 	public Gaussian() {
samer@0: 		var=new VDouble("variance", 1.0);
samer@0: 		mean=new VDouble("mean", 0.0);
samer@0: 	}
samer@0: 
samer@0: 	public Gaussian(double v, double m) {
samer@0: 		var=new VDouble("variance",v,Variable.REGISTER|Variable.NOINIT);
samer@0: 		mean=new VDouble("mean",m,Variable.REGISTER|Variable.NOINIT);
samer@0: 	}
samer@0: 
samer@0: 	public void dispose() { var.dispose(); mean.dispose(); }
samer@0: 	public double next() { return mean.value + var.value*rnd.nextGaussian(); }
samer@0: 	public void   next(double [] x) { 
samer@0: 		for (int i=0; i<x.length; i++) x[i]=mean.value+var.value*rnd.nextGaussian();
samer@0: 	}
samer@0: 
samer@0: 	public String toString() { return "Gaussian"; }
samer@0: }