Documentation API of the 'joptima.ChiSquaredFitter2D' Java class
ChiSquaredFitter2D
joptima

Class ChiSquaredFitter2D

  • All Implemented Interfaces:
    Function, Minimizable


    public class ChiSquaredFitter2Dextends Fitter

    χ² fitter. This class can be passed to a Minimizer to minimize χ² of a sum of one or more functions fit to the given two-dimensional data set. Error bars may be provided for the data points if the data has compounded errors that are Gaussian. sqrt(z) errors are assumed otherwise.

    Note that the usual two-dimensional matrix of values is passed to this function unfolded into a single array, i.e. the (x[i], y[i], z[i]) tuple for an m by n histogram where z = f(x, y) will have indices running from 0 through m * n - 1.

    A typical usage of this class would go as follows:

       // The data points.   double[] x = new double[]{  1,   2,   3,                               1,   2,   3,                               1,   2,   3};   double[] y = new double[]{  1,   1,   1,                               2,   2,   2,                               3,   3,   3};   double[] z = new double[]{1.1, 4.0, 8.7,                             3.9,  16,  24,                             9.2,  22,  38};   // The Function to fit to the data points.   Function2D f = new Sum2D(new Quadratic(), new Quadratic);   ChiSquaredFitter2D fitter = new ChiSquaredFitter2D();   fitter.setData(x, y, z);   fitter.addFunction(f);   Minimizer.minimize(fitter);   // At this point, if the fit converged, the Function f will have   // its Parameters set to the optimal values. 

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