Mercurial > dive4elements > gnv-client

annotate gnv-artifacts/src/main/java/de/intevation/gnv/math/LinearFunction.java @ 1143:597163195dc9

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dummy merge for repo head
author Thomas Arendsen Hein <thomas@intevation.de>
date Fri, 28 Sep 2012 12:15:21 +0200
parents f953c9a559d8
children
rev   line source
1115
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1 /*
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2 * Copyright (c) 2010 by Intevation GmbH
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3 *
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4 * This program is free software under the LGPL (>=v2.1)
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5 * Read the file LGPL.txt coming with the software for details
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6 * or visit http://www.gnu.org/licenses/ if it does not exist.
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7 */
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8
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9 package de.intevation.gnv.math;
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10
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11 import org.apache.commons.math.FunctionEvaluationException;
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13 import org.apache.commons.math.analysis.UnivariateRealFunction;
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14
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15 import org.apache.commons.math.optimization.fitting.ParametricRealFunction;
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16
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17 /**
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18 * Models a linear function to be usable in the fitting framework of
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19 * the Apache Commons Mathematics Library.
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20 *
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21 * @author <a href="mailto:sascha.teichmann@intevation.de">Sascha L. Teichmann</a>
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22 */
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23 public class LinearFunction
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24 implements ParametricRealFunction
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25 {
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26 /**
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27 * Instance to prevent needless creations of instances.
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28 */
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29 public static final LinearFunction INSTANCE = new LinearFunction();
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30
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31 /**
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32 * Specialized class to be useful in function evaluating
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33 * in the Apache Commons Mathematics Library.
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34 */
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35 public static class Univariate
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36 implements UnivariateRealFunction
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37 {
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38 /**
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39 * The linear scaling factor.
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40 */
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41 protected double m;
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42 /**
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43 * The linear offset.
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44 */
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45 protected double b;
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46
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47 /**
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48 * Default constructor.
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49 */
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50 public Univariate() {
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51 }
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53 /**
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54 * Constructor to create a Univariate with the linear parameters
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55 * of the line between (x1, y1) and (x2, y2).
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56 * @param x1 The x coordinate of the first point.
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57 * @param y1 The y coordinate of the first point.
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58 * @param x2 The x coordinate of the second point.
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59 * @param y2 The y coordinate of the second point.
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60 */
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61 public Univariate(double x1, double y1, double x2, double y2) {
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62 if (y1 == y2) {
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63 m = 0d;
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64 b = (x1 + x2)*0.5d;
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65 }
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66 else {
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67 m = (x1 - x2)/(y1 - y2);
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68 b = y1 - m*x1;
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69 }
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70 }
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71
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72 public double value(double x) {
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73 return m*x + b;
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74 }
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75 } // class Univariate
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76
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77 /**
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78 * Default constructor.
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79 */
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80 public LinearFunction() {
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81 }
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82
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83 public double value(double x, double [] parameters)
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84 throws FunctionEvaluationException
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85 {
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86 return x*parameters[0] + parameters[1];
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87 }
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88
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89 public double [] gradient(double x, double [] parameters)
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90 throws FunctionEvaluationException
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91 {
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92 return new double [] { x, 1f };
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93 }
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94 }
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95 // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf8 :
http://dive4elements.wald.intevation.org