Mercurial > hg > jslab
view src/samer/maths/random/GeneralisedExponential.java @ 0:bf79fb79ee13
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author | samer |
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date | Tue, 17 Jan 2012 17:50:20 +0000 |
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/* * Copyright (c) 2000, Samer Abdallah, King's College London. * All rights reserved. * * This software is provided AS iS and WITHOUT ANY WARRANTY; * without even the implied warranty of MERCHANTABILITY or * FITNESS FOR A PARTICULAR PURPOSE. */ package samer.maths.random; import samer.core.*; import samer.core.types.*; import samer.maths.*; // This is going to work by the rejection method // (see Numerical Recipes in C) // We'll use the cauchy distribution as our // bounding function // NB ONLY WORKS FOR alpha<=2! public class GeneralisedExponential implements Generator { BaseRandom cauchy = new RectifiedCauchy(); VDouble alpha = new VDouble("alpha", 1); public void dispose() { cauchy.dispose(); alpha.dispose(); } public double next() { double x, f, g, a=alpha.value; do { // first, get a Cauchy distributed RV x = 2*cauchy.next(); f = 4/(4+x*x); // cauchy g = Math.exp(-Math.pow(x,a)); // exponential } while (f*cauchy.rnd.nextDouble()>g); return x; } public void next(double [] x) { for (int i=0; i<x.length; i++) x[i]=next(); } }