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


   class evaluating the log likelihood
   for binned Poisson 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::PoissonLikelihoodFCN<ROOT::Math::IMultiGenFunction>, ROOT::Fit::PoissonLLFunction

Function Members (Methods)

public:

virtual	~PoissonLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>()
virtual ROOT::Fit::PoissonLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>::BaseFunction*	Clone() const
virtual const ROOT::Fit::BinData&	Data() const
virtual double	DataElement(const double* x, unsigned int i, double* g) const
virtual void	Gradient(const double* x, double* g) const
virtual const ROOT::Fit::PoissonLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>::IModelFunction&	ModelFunction() const
virtual unsigned int	ROOT::Math::BasicFitMethodFunction<ROOT::Math::IBaseFunctionMultiDim>::NCalls() const
virtual unsigned int	ROOT::Math::BasicFitMethodFunction<ROOT::Math::IBaseFunctionMultiDim>::NDim() const
unsigned int	NFitPoints() const
virtual unsigned int	ROOT::Math::BasicFitMethodFunction<ROOT::Math::IBaseFunctionMultiDim>::NPoints() const
double	ROOT::Math::IBaseFunctionMultiDim::operator()(const double* x) const
ROOT::Fit::PoissonLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>	PoissonLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>(const ROOT::Fit::BinData& data, ROOT::Fit::PoissonLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>::IModelFunction& func)
virtual void	ROOT::Math::BasicFitMethodFunction<ROOT::Math::IBaseFunctionMultiDim>::ResetNCalls()
virtual ROOT::Math::BasicFitMethodFunction<ROOT::Math::IBaseFunctionMultiDim>::Type_t	Type() const
virtual void	ROOT::Math::BasicFitMethodFunction<ROOT::Math::IBaseFunctionMultiDim>::UpdateNCalls() const

private:

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

Data Members

public:

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

private:

const ROOT::Fit::BinData&	fData
ROOT::Fit::PoissonLikelihoodFCN<ROOT::Math::IBaseFunctionMultiDim>::IModelFunction&	fFunc
vector<double>	fGrad	for derivatives
unsigned int	fNCalls
unsigned int	fNDim
unsigned int	fNEffPoints	number of effective points used in the fit
unsigned int	fNPoints	size of the data

Class Charts

Function documentation

BaseFunction * Clone() const

 clone the function (need to return Base for Windows)

{ return new PoissonLikelihoodFCN(fData,fFunc); }

unsigned int NFitPoints() const

 effective points used in the fit

{ return fNEffPoints; }

double DataElement(const double* x, unsigned int i, double* g) const

 i-th likelihood element and its gradient