Mercurial > hg > jslab
view src/samer/functions/BiLaplacianBlend.java @ 5:b67a33c44de7
Remove some crap, etc
author | samer |
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date | Fri, 05 Apr 2019 21:34:25 +0100 |
parents | bf79fb79ee13 |
children |
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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.functions; import samer.maths.*; /** Log prior for an laplacian distribution with an extra mass at zero, eg a mixture of a laplacian with another much narrower laplacian. The log prior is basically an abs function with with a extra-deep pit at zero. Paramters control the width and depth of the pit. Two linear phases blended exponentially. */ public class BiLaplacianBlend extends Function { double beta=1, A=1; public void setExponent(double b) { beta=b; } public void setStrength(double a) { A=a; } public double getJump() { return 1+A*beta; } public String format(String t) { return "SparseLaplacian("+t+")"; } public final double apply(double t) { t = Math.abs(t); double s=beta*t; if (s<24) return t-A*Math.exp(-s); else return t; } public Function derivative() { return new Function() { public final double apply(double t) { if (t>0) { double s=beta*t; if (s>24) return 1; else return 1+A*beta*Math.exp(-s); } else if (t<0) { double s=-beta*t; if (s>24) return -1; else return -1-A*beta*Math.exp(-s); } else return 0; } public String format(String t) { return "dBiLaplacian("+t+")"; } }; } }