Examples of LMA

jaolho.data.lma.LMA
rbook.com/b/bookfpdf/f15-5.pdf">here as a pdf file.
The matrix (LMAMatrix) class used in the fit is an interface, so you can use your favourite implementation. This package uses Matrix from JAMA-math libraries, but feel free to use anything you want. Note that you have to implement the actual model function and its partial derivates as LMAFunction or LMAMultiDimFunction before making the fit.
Note that there are three different ways to input the data points. Read the documentation for each constructor carefully. @author Janne Holopainen (jaolho@utu.fi, tojotamies@gmail.com) @version 1.2, 24.04.2007The algorithm is free for non-commercial use.

Examples of jaolho.data.lma.LMA

      params = new double[nombreParams];
      for (int i = 0; i < params.length; i++) {
        params[i] = 1;
      }
      double[][] tabXY = tableur.donneTableau(nomX, nomY);
      LMA lma = new LMA(func, params, tabXY);
      lma.verbose = true;
      try {
        lma.fit();


        double[] vraie = tabXY[1];
        double[] abcisse = tabXY[0];
        double[] fausse = func.generateData(abcisse, lma.parameters);
        double erreur = Stats.getErreur(vraie, fausse);

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Examples of jaolho.data.lma.LMA

    }
  }
  
  /** Does the actual fitting by using the above ExampleFunction (a line) */
  public static void main(String[] args) {
    LMA lma = new LMA(
      new ExampleFunction(),
      new double[] {1, 1},
      new double[][] {
        {0, 2, 6, 8, 9}, 
        {5, 10, 23, 33, 40}}
    );
    lma.fit();
    System.out.println("iterations: " + lma.iterationCount);
    System.out.println("chi2: " + lma.chi2 + ", param0: " + lma.parameters[0] + ", param1: " + lma.parameters[1]);
  }

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Examples of jaolho.data.lma.LMA

  
  public static void main(String[] args) {
    double[] x = {0.0, 0.1, 0.2, 0.3, 0.5, 0.7};//, 1.1, 1.4, 2.5, 6.4, 7.9, 10.4, 12.6};
    double[] a = {2.2, 0.4};
    double[][] data = {x, sin.generateData(x, a)}; 
    LMA lma = new LMA(sin, new double[] {0.1, 10}, data, null);
    lma.fit();
    System.out.println("RESULT PARAMETERS: " + Arrays.toString(lma.parameters));
    
    /*
    ArrayTool.writeToFileByColumns("fittest.dat", data);
    GnuPlotTool2.plot(ArrayTool.toFloatArray(data));

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Examples of jaolho.data.lma.LMA

    }
  }
  
  /** Does the actual fitting by using the above MultiDimExampleFunction (a plane) */
  public static void main(String[] args) {
    LMA lma = new LMA(
      new MultiDimExampleFunction(),
      new double[] {1, 1, 1},
      new double[][] {
        // y x0 x1
        {0, 2, 6}, 
        {5, 10, 2},
        {7, 20, 4},
        {9, 30, 7},
        {12, 40, 6}
      }
    );
    lma.fit();
    System.out.println("iterations: " + lma.iterationCount);
    System.out.println(
      "chi2: " + lma.chi2 + ",\n" +
      "param0: " + lma.parameters[0] + ",\n" +
      "param1: " + lma.parameters[1] + ",\n" +

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