#include <MinuitUnbinnedFitFcn1D.hh>

Inheritance diagram for npsi::MinuitUnbinnedFitFcn1D< Numeric, DensityConstructor >:

Public Member Functions
	MinuitUnbinnedFitFcn1D (const Numeric *sampleData, const unsigned nSampleData, const DensityConstructor &densityMaker, const double minlog=log(DBL_MIN), const double up=0.05)

virtual double	operator() (const std::vector< double > &x) const

double	Up () const

Detailed Description

template<typename Numeric, class DensityConstructor>
class npsi::MinuitUnbinnedFitFcn1D< Numeric, DensityConstructor >

Target minimization function adapter class for running maximum likelihood density fits to unbinned data by Minuit2.

DensityConstructor is a functor which creates the necessary density function on the stack out of a vector of parameters. Must have "operator()(const std::vector<double>&) const" which returns an object (or a reference) of some class which was derived from AbsDistribution1D.

Constructor & Destructor Documentation

◆ MinuitUnbinnedFitFcn1D()

template<typename Numeric , class DensityConstructor >

npsi::MinuitUnbinnedFitFcn1D< Numeric, DensityConstructor >::MinuitUnbinnedFitFcn1D	(	const Numeric *	sampleData,
		const unsigned	nSampleData,
		const DensityConstructor &	densityMaker,
		const double	minlog = `log(DBL_MIN)`,
		const double	up = `0.05`
	)

inline

This class will not assume ownership of any pointers or references.

Member Function Documentation

◆ operator()()

template<typename Numeric , class DensityConstructor >

virtual double npsi::MinuitUnbinnedFitFcn1D< Numeric, DensityConstructor >::operator() ( const std::vector< double > & x ) const

inlinevirtual

This method returns negative log likelihood

The documentation for this class was generated from the following file:

interfaces/MinuitUnbinnedFitFcn1D.hh