Mercurial > dive4elements > gnv-client
comparison gnv-artifacts/src/main/java/de/intevation/gnv/math/LinearFunction.java @ 875:5e9efdda6894
merged gnv-artifacts/1.0
author | Thomas Arendsen Hein <thomas@intevation.de> |
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date | Fri, 28 Sep 2012 12:13:56 +0200 |
parents | a645bd23c1c8 |
children | f953c9a559d8 |
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722:bb3ffe7d719e | 875:5e9efdda6894 |
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1 package de.intevation.gnv.math; | |
2 | |
3 import org.apache.commons.math.FunctionEvaluationException; | |
4 | |
5 import org.apache.commons.math.analysis.UnivariateRealFunction; | |
6 | |
7 import org.apache.commons.math.optimization.fitting.ParametricRealFunction; | |
8 | |
9 /** | |
10 * Models a linear function to be usable in the fitting framework of | |
11 * the Apache Commons Mathematics Library. | |
12 * | |
13 * @author <a href="mailto:sascha.teichmann@intevation.de">Sascha L. Teichmann</a> | |
14 */ | |
15 public class LinearFunction | |
16 implements ParametricRealFunction | |
17 { | |
18 /** | |
19 * Instance to prevent needless creations of instances. | |
20 */ | |
21 public static final LinearFunction INSTANCE = new LinearFunction(); | |
22 | |
23 /** | |
24 * Specialized class to be useful in function evaluating | |
25 * in the Apache Commons Mathematics Library. | |
26 */ | |
27 public static class Univariate | |
28 implements UnivariateRealFunction | |
29 { | |
30 /** | |
31 * The linear scaling factor. | |
32 */ | |
33 protected double m; | |
34 /** | |
35 * The linear offset. | |
36 */ | |
37 protected double b; | |
38 | |
39 /** | |
40 * Default constructor. | |
41 */ | |
42 public Univariate() { | |
43 } | |
44 | |
45 /** | |
46 * Constructor to create a Univariate with the linear parameters | |
47 * of the line between (x1, y1) and (x2, y2). | |
48 * @param x1 The x coordinate of the first point. | |
49 * @param y1 The y coordinate of the first point. | |
50 * @param x2 The x coordinate of the second point. | |
51 * @param y2 The y coordinate of the second point. | |
52 */ | |
53 public Univariate(double x1, double y1, double x2, double y2) { | |
54 if (y1 == y2) { | |
55 m = 0d; | |
56 b = (x1 + x2)*0.5d; | |
57 } | |
58 else { | |
59 m = (x1 - x2)/(y1 - y2); | |
60 b = y1 - m*x1; | |
61 } | |
62 } | |
63 | |
64 public double value(double x) { | |
65 return m*x + b; | |
66 } | |
67 } // class Univariate | |
68 | |
69 /** | |
70 * Default constructor. | |
71 */ | |
72 public LinearFunction() { | |
73 } | |
74 | |
75 public double value(double x, double [] parameters) | |
76 throws FunctionEvaluationException | |
77 { | |
78 return x*parameters[0] + parameters[1]; | |
79 } | |
80 | |
81 public double [] gradient(double x, double [] parameters) | |
82 throws FunctionEvaluationException | |
83 { | |
84 return new double [] { x, 1f }; | |
85 } | |
86 } | |
87 // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf8 : |