Mercurial > dive4elements > river
comparison flys-artifacts/src/main/java/de/intevation/flys/artifacts/math/fitting/InvLogLinear.java @ 3181:de67497de5a0
Completed inverse functions.
flys-artifacts/trunk@4796 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author | Sascha L. Teichmann <sascha.teichmann@intevation.de> |
---|---|
date | Tue, 26 Jun 2012 10:54:12 +0000 |
parents | 59b14bc676ec |
children |
comparison
equal
deleted
inserted
replaced
3180:4d5b15049ac2 | 3181:de67497de5a0 |
---|---|
1 package de.intevation.flys.artifacts.math.fitting; | 1 package de.intevation.flys.artifacts.math.fitting; |
2 | 2 |
3 public class InvLogLinear | 3 public class InvLogLinear |
4 extends Function | 4 extends Function |
5 { | 5 { |
6 public static final Derivative DERIVATIVE = | |
7 new Derivative("Q'(W) = e^(W/a)/(a*m)") { | |
8 | |
9 @Override | |
10 public de.intevation.flys.artifacts.math.Function | |
11 instantiate(double [] parameters) | |
12 { | |
13 final double _1a = 1d/parameters[0]; | |
14 final double _1am = 1d/(parameters[0] * parameters[1]); | |
15 | |
16 return new de.intevation.flys.artifacts.math.Function() { | |
17 @Override | |
18 public double value(double W) { | |
19 return Math.exp(W*_1a)*_1am; | |
20 } | |
21 }; | |
22 } | |
23 }; | |
6 public static final Function INSTANCE = new InvLogLinear(); | 24 public static final Function INSTANCE = new InvLogLinear(); |
7 | 25 |
8 public InvLogLinear() { | 26 public InvLogLinear() { |
9 // TODO: Implement me! | 27 super( |
28 "inv-log-linear", | |
29 "Q(W)=(e^(W/a)-b)/m", | |
30 new String [] { "a", "m", "b" }); | |
10 } | 31 } |
11 | 32 |
12 @Override | 33 @Override |
13 public double value(double W, double [] parameters) { | 34 public double value(double W, double [] parameters) { |
14 // TODO: Implement me! | 35 double a = parameters[0]; |
15 return 0d; | 36 double m = parameters[1]; |
37 double b = parameters[2]; | |
38 return (Math.exp(W/a) - b)/m; | |
16 } | 39 } |
17 | 40 |
18 @Override | 41 @Override |
19 public double [] gradient(double Q, double [] parameters) { | 42 public double [] gradient(double W, double [] parameters) { |
20 // TODO: Implement me! | 43 double a = parameters[0]; |
21 return null; | 44 double m = parameters[1]; |
45 double b = parameters[2]; | |
46 double eWa = Math.exp(W/a); | |
47 return new double [] { | |
48 -(W*eWa)/(a*a*m) | |
49 -(eWa-b)/(m*m), | |
50 -1/m | |
51 }; | |
22 } | 52 } |
23 | 53 |
24 @Override | 54 @Override |
25 public Derivative getDerivative() { | 55 public Derivative getDerivative() { |
26 // TODO: Implement me! | 56 return DERIVATIVE; |
27 return null; | |
28 } | 57 } |
29 | 58 |
30 @Override | 59 @Override |
31 public Function getInverse() { | 60 public Function getInverse() { |
32 return LogLinear.INSTANCE; | 61 return LogLinear.INSTANCE; |