hep.aida.ref.fitter.fitmethod
Class BinnedMaximumLikelihoodFitMethod

java.lang.Object
  extended by hep.aida.ref.fitter.fitmethod.AbstractFitMethod
      extended by hep.aida.ref.fitter.fitmethod.BinnedMaximumLikelihoodFitMethod
All Implemented Interfaces:
hep.aida.ext.IFitMethod

public class BinnedMaximumLikelihoodFitMethod
extends AbstractFitMethod


Field Summary
 
Fields inherited from interface hep.aida.ext.IFitMethod
BINNED_FIT, UNBINNED_FIT
 
Constructor Summary
BinnedMaximumLikelihoodFitMethod()
           
 
Method Summary
 double[] evaluateGradientSumElement(hep.aida.dev.IDevFitDataIterator dataIter, hep.aida.IFunction function)
          Evaluate the the sum contribution to the Objective Function gradient.
 double evaluateSumElement(hep.aida.dev.IDevFitDataIterator dataIter, hep.aida.IFunction function)
          Evaluate the the sum contribution to the Objective Function value.
 
Methods inherited from class hep.aida.ref.fitter.fitmethod.AbstractFitMethod
clear, correlationObject, evaluate, evaluateGradient, fitMethodNames, fitType, setCorrelationObject
 
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

BinnedMaximumLikelihoodFitMethod

public BinnedMaximumLikelihoodFitMethod()
Method Detail

evaluateSumElement

public double evaluateSumElement(hep.aida.dev.IDevFitDataIterator dataIter,
                                 hep.aida.IFunction function)
Description copied from interface: hep.aida.ext.IFitMethod
Evaluate the the sum contribution to the Objective Function value.


evaluateGradientSumElement

public double[] evaluateGradientSumElement(hep.aida.dev.IDevFitDataIterator dataIter,
                                           hep.aida.IFunction function)
Description copied from interface: hep.aida.ext.IFitMethod
Evaluate the the sum contribution to the Objective Function gradient.



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