Class AlgorithmFRAP.FitDoubleExponentialNoWholeConstrainedModel

    • Field Detail

      • xData

        private double[] xData
      • yData

        private float[] yData
    • Constructor Detail

      • FitDoubleExponentialNoWholeConstrainedModel

        public FitDoubleExponentialNoWholeConstrainedModel​(int nPoints,
                                                           double[] xData,
                                                           float[] yData,
                                                           double[] initial)
        Creates a new FitDoubleExponentialNoWholeConstrainedModel object.
        Parameters:
        nPoints - DOCUMENT ME!
        xData - DOCUMENT ME!
        yData - DOCUMENT ME!
        initial - DOCUMENT ME!
    • Method Detail

      • dumpResults

        public void dumpResults()
        Display results of displaying exponential fitting parameters.
      • fitToFunction

        public void fitToFunction​(double[] a,
                                  double[] residuals,
                                  double[][] covarMat)
        Fit to function - a3 + (1-a3)*[1 - ao*exp(a1*x) - (1 - a0)*exp(a2*x)].
        Specified by:
        fitToFunction in class NLConstrainedEngine
        Parameters:
        a - The x value of the data point.
        residuals - The best guess parameter values.
        covarMat - The derivative values of y with respect to fitting parameters.