Mercurial > dive4elements > gnv-client

annotate gnv-artifacts/src/main/java/de/intevation/gnv/math/LinearFunction.java @ 1085:ec512e7992c6

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Improved data initialization and axis range calculation in vertical profiles (scalar and vector). gnv-artifacts/trunk@1187 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author Ingo Weinzierl <ingo.weinzierl@intevation.de>
date Wed, 09 Jun 2010 17:11:54 +0000
parents a645bd23c1c8
children f953c9a559d8
rev   line source
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1 package de.intevation.gnv.math;
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2
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3 import org.apache.commons.math.FunctionEvaluationException;
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5 import org.apache.commons.math.analysis.UnivariateRealFunction;
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6
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7 import org.apache.commons.math.optimization.fitting.ParametricRealFunction;
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8
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9 /**
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10 * Models a linear function to be usable in the fitting framework of
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11 * the Apache Commons Mathematics Library.
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12 *
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13 * @author <a href="mailto:sascha.teichmann@intevation.de">Sascha L. Teichmann</a>
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14 */
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15 public class LinearFunction
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16 implements ParametricRealFunction
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17 {
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18 /**
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19 * Instance to prevent needless creations of instances.
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20 */
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21 public static final LinearFunction INSTANCE = new LinearFunction();
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22
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23 /**
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24 * Specialized class to be useful in function evaluating
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25 * in the Apache Commons Mathematics Library.
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26 */
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27 public static class Univariate
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28 implements UnivariateRealFunction
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29 {
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30 /**
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31 * The linear scaling factor.
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32 */
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33 protected double m;
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34 /**
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35 * The linear offset.
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36 */
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37 protected double b;
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38
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39 /**
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40 * Default constructor.
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41 */
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42 public Univariate() {
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43 }
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45 /**
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46 * Constructor to create a Univariate with the linear parameters
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47 * of the line between (x1, y1) and (x2, y2).
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48 * @param x1 The x coordinate of the first point.
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49 * @param y1 The y coordinate of the first point.
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50 * @param x2 The x coordinate of the second point.
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51 * @param y2 The y coordinate of the second point.
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52 */
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53 public Univariate(double x1, double y1, double x2, double y2) {
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54 if (y1 == y2) {
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55 m = 0d;
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56 b = (x1 + x2)*0.5d;
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57 }
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58 else {
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59 m = (x1 - x2)/(y1 - y2);
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60 b = y1 - m*x1;
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61 }
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62 }
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63
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64 public double value(double x) {
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65 return m*x + b;
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66 }
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67 } // class Univariate
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68
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69 /**
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70 * Default constructor.
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71 */
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72 public LinearFunction() {
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73 }
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74
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75 public double value(double x, double [] parameters)
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76 throws FunctionEvaluationException
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77 {
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78 return x*parameters[0] + parameters[1];
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79 }
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80
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81 public double [] gradient(double x, double [] parameters)
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82 throws FunctionEvaluationException
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83 {
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84 return new double [] { x, 1f };
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85 }
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86 }
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87 // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf8 :
http://dive4elements.wald.intevation.org