annotate src/samer/maths/random/Gaussian.java @ 8:5e3cbbf173aa tip

Reorganise some more
author samer
date Fri, 05 Apr 2019 22:41:58 +0100
parents bf79fb79ee13
children
rev   line source
samer@0 1 /*
samer@0 2 * Copyright (c) 2000, Samer Abdallah, King's College London.
samer@0 3 * All rights reserved.
samer@0 4 *
samer@0 5 * This software is provided AS iS and WITHOUT ANY WARRANTY;
samer@0 6 * without even the implied warranty of MERCHANTABILITY or
samer@0 7 * FITNESS FOR A PARTICULAR PURPOSE.
samer@0 8 */
samer@0 9
samer@0 10 package samer.maths.random;
samer@0 11 import samer.core.*;
samer@0 12 import samer.core.types.*;
samer@0 13
samer@0 14 public class Gaussian extends BaseRandom
samer@0 15 {
samer@0 16 VDouble var;
samer@0 17 VDouble mean;
samer@0 18
samer@0 19 public Gaussian() {
samer@0 20 var=new VDouble("variance", 1.0);
samer@0 21 mean=new VDouble("mean", 0.0);
samer@0 22 }
samer@0 23
samer@0 24 public Gaussian(double v, double m) {
samer@0 25 var=new VDouble("variance",v,Variable.REGISTER|Variable.NOINIT);
samer@0 26 mean=new VDouble("mean",m,Variable.REGISTER|Variable.NOINIT);
samer@0 27 }
samer@0 28
samer@0 29 public void dispose() { var.dispose(); mean.dispose(); }
samer@0 30 public double next() { return mean.value + var.value*rnd.nextGaussian(); }
samer@0 31 public void next(double [] x) {
samer@0 32 for (int i=0; i<x.length; i++) x[i]=mean.value+var.value*rnd.nextGaussian();
samer@0 33 }
samer@0 34
samer@0 35 public String toString() { return "Gaussian"; }
samer@0 36 }