Mercurial > hg > jslab
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 } |