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


   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::LogLikelihoodGradFunction, ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IMultiGradFunction>

Function Members (Methods)

public:

virtual	~LogLikelihoodFCN<ROOT::Math::IGradientFunctionMultiDim>()
virtual ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IGradientFunctionMultiDim>::BaseFunction*	Clone() const
virtual const ROOT::Fit::UnBinData&	Data() const
virtual double	DataElement(const double* x, unsigned int i, double* g) const
double	ROOT::Math::IGradientMultiDim::Derivative(const double* x, unsigned int icoord = 0) const
virtual void	ROOT::Math::IGradientFunctionMultiDim::FdF(const double* x, double& f, double* df) const
virtual void	Gradient(const double* x, double* g) const
ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IGradientFunctionMultiDim>	LogLikelihoodFCN<ROOT::Math::IGradientFunctionMultiDim>(const ROOT::Fit::UnBinData& data, const ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IGradientFunctionMultiDim>::IModelFunction& func)
virtual const ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IGradientFunctionMultiDim>::IModelFunction&	ModelFunction() const
virtual unsigned int	ROOT::Math::BasicFitMethodFunction<ROOT::Math::IGradientFunctionMultiDim>::NCalls() const
virtual unsigned int	ROOT::Math::BasicFitMethodFunction<ROOT::Math::IGradientFunctionMultiDim>::NDim() const
virtual unsigned int	NFitPoints() const
virtual unsigned int	ROOT::Math::BasicFitMethodFunction<ROOT::Math::IGradientFunctionMultiDim>::NPoints() const
double	ROOT::Math::IBaseFunctionMultiDim::operator()(const double* x) const
virtual void	ROOT::Math::BasicFitMethodFunction<ROOT::Math::IGradientFunctionMultiDim>::ResetNCalls()
virtual ROOT::Math::BasicFitMethodFunction<ROOT::Math::IGradientFunctionMultiDim>::Type_t	Type() const
virtual void	ROOT::Math::BasicFitMethodFunction<ROOT::Math::IGradientFunctionMultiDim>::UpdateNCalls() const

private:

virtual double	DoDerivative(const double* x, unsigned int icoord) const
virtual double	DoEval(const double* x) const
ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IGradientFunctionMultiDim>	LogLikelihoodFCN<ROOT::Math::IGradientFunctionMultiDim>(const ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IGradientFunctionMultiDim>&)
ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IGradientFunctionMultiDim>&	operator=(const ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IGradientFunctionMultiDim>&)

Data Members

public:

enum ROOT::Math::BasicFitMethodFunction::Type_t {	kUndefined
	kLeastSquare
	kLogLikelihood
};

private:

const ROOT::Fit::UnBinData&	fData
const ROOT::Fit::LogLikelihoodFCN<ROOT::Math::IGradientFunctionMultiDim>::IModelFunction&	fFunc
vector<double>	fGrad	for derivatives
unsigned int	fNEffPoints	number of effective points used in the fit

Class Charts

Inheritance Inherited Members Includes Libraries

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