ROOT logo
ROOT » MATH » MATHCORE » ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>

class ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>: public ROOT::Math::BasicFitMethodFunction<ROOT::Math::IBaseFunctionMultiDim>


   LogLikelihoodFCN class
   for likelihood fits

   it is template to distinguish gradient and non-gradient case

   @ingroup  FitMethodFunc

This class is also known as (typedefs to this class)

ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IMultiGenFunction>, ROOT::Fit::LogLikelihoodFunction

Function Members (Methods)

public:
virtual~LogLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>()
virtual ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>::BaseFunction*Clone() const
virtual const ROOT::Fit::UnBinData&Data() const
virtual doubleDataElement(const double* x, unsigned int i, double* g) const
virtual voidGradient(const double* x, double* g) const
ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>LogLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>(const ROOT::Fit::UnBinData& data, const ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>::IModelFunction& func)
virtual const ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>::IModelFunction&ModelFunction() const
virtual unsigned intROOT::Math::BasicFitMethodFunction<ROOT::Math::IBaseFunctionMultiDim>::NCalls() const
virtual unsigned intROOT::Math::BasicFitMethodFunction<ROOT::Math::IBaseFunctionMultiDim>::NDim() const
virtual unsigned intNFitPoints() const
virtual unsigned intROOT::Math::BasicFitMethodFunction<ROOT::Math::IBaseFunctionMultiDim>::NPoints() const
doubleROOT::Math::IBaseFunctionMultiDim::operator()(const double* x) const
virtual voidROOT::Math::BasicFitMethodFunction<ROOT::Math::IBaseFunctionMultiDim>::ResetNCalls()
virtual ROOT::Math::BasicFitMethodFunction<ROOT::Math::IBaseFunctionMultiDim>::Type_tType() const
virtual voidROOT::Math::BasicFitMethodFunction<ROOT::Math::IBaseFunctionMultiDim>::UpdateNCalls() const
private:
virtual doubleDoDerivative(const double* x, unsigned int icoord) const
virtual doubleDoEval(const double* x) const
ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>LogLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>(const ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>&)
ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>&operator=(const ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>& rhs)

Data Members

public:
enum ROOT::Math::BasicFitMethodFunction::Type_t { kUndefined
kLeastSquare
kLogLikelihood
};
private:
const ROOT::Fit::UnBinData&fData
const ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>::IModelFunction&fFunc
vector<double>fGradfor derivatives
unsigned intfNEffPointsnumber of effective points used in the fit

Class Charts

Inheritance Inherited Members Includes Libraries
Class Charts

Function documentation

BaseFunction * Clone() const
 clone the function (need to return Base for Windows)
{ return new LogLikelihoodFCN(fData,fFunc); }
unsigned int NFitPoints() const
using BaseObjFunction::operator();
 effective points used in the fit
{ return fNEffPoints; }
double DataElement(const double* x, unsigned int i, double* g) const
 i-th likelihood contribution and its gradient
void Gradient(const double* x, double* g) const
 need to be virtual to be instantited
double DoEval(const double* x) const
      Evaluation of the  function (required by interface)
double DoDerivative(const double* x, unsigned int icoord) const
 for derivatives