/* * ChiSquaredFitMethod.java * * Created on August 15, 2002, 4:38 PM */ package hep.aida.ref.fitter.fitmethod; import hep.aida.IFunction; import hep.aida.IModelFunction; import hep.aida.dev.IDevFitDataIterator; import hep.aida.ext.IFitMethod; /** * * @author The AIDA team @ SLAC. * */ public class BinnedMaximumLikelihoodFitMethod extends AbstractFitMethod { private static String[] names = new String[] {"bml","binnedmaxlikelihood","binnedmaximumlikelihood"}; public BinnedMaximumLikelihoodFitMethod() { super(IFitMethod.BINNED_FIT, names); } public double evaluateSumElement(IDevFitDataIterator dataIter, IFunction function) { double fVal = function.value( dataIter.vars() ); return fVal -dataIter.value()*Math.log(fVal); } public double[] evaluateGradientSumElement(IDevFitDataIterator dataIter, IFunction function) { double f = function.value( dataIter.vars() ); double[] der = ((IModelFunction)function).parameterGradient( dataIter.vars() ); double[] newDer = new double[der.length]; double val = dataIter.value(); double c = (1.-val/f); for ( int i = 0; i < der.length; i++ ) newDer[i] = der[i]*c; return newDer; } }