Mercurial > dive4elements > gnv-client
annotate gnv-artifacts/src/main/java/de/intevation/gnv/math/LinearFunction.java @ 640:e5f1e868ee3e
Implementedr histogram pdf export.
gnv-artifacts/trunk@726 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author | Ingo Weinzierl <ingo.weinzierl@intevation.de> |
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date | Wed, 03 Mar 2010 13:44:15 +0000 |
parents | d9d933e06875 |
children | 9a828e5a2390 |
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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.optimization.fitting.ParametricRealFunction; |
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4 |
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5 import org.apache.commons.math.FunctionEvaluationException; |
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6 |
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7 import org.apache.commons.math.analysis.UnivariateRealFunction; |
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8 |
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9 /** |
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10 * @author Sascha L. Teichmann (sascha.teichmann@intevation.de) |
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11 */ |
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12 public class LinearFunction |
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13 implements ParametricRealFunction |
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14 { |
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15 public static final LinearFunction INSTANCE = new LinearFunction(); |
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16 |
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17 public static class Univariate |
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18 implements UnivariateRealFunction |
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19 { |
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20 protected double m; |
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21 protected double b; |
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22 |
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23 public Univariate() { |
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24 } |
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25 |
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26 public Univariate(double x1, double y1, double x2, double y2) { |
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27 if (y1 == y2) { |
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28 m = 0d; |
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29 b = (x1 + x2)*0.5d; |
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30 } |
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31 else { |
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32 m = (x1 - x2)/(y1 - y2); |
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33 b = y1 - m*x1; |
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34 } |
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35 } |
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36 |
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37 public double value(double x) { |
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38 return m*x + b; |
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39 } |
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40 } // class Univariate |
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41 |
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42 public LinearFunction() { |
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43 } |
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44 |
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45 public double value(double x, double [] parameters) |
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46 throws FunctionEvaluationException |
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47 { |
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48 return x*parameters[0] + parameters[1]; |
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49 } |
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50 |
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51 public double [] gradient(double x, double [] parameters) |
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52 throws FunctionEvaluationException |
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53 { |
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54 return new double [] { x, 1f }; |
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55 } |
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56 } |
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57 // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf8 : |