Extension of the FCNBase for the Fumili method.

Fumili applies only to minimization problems used for fitting. The method is based on a linearization of the model function negleting second derivatives. User needs to provide the model function. The figure-of-merit describing the difference between the model function and the actual measurements has to be implemented by the user in a subclass of FumiliFCNBase. For an example see the FumiliChi2FCN and FumiliStandardChi2FCN classes.

Author: Andras Zsenei and Lorenzo Moneta, Creation date: 23 Aug 2004

See Also: MINUIT Tutorial on function minimization, section 5; FumiliChi2FCN; FumiliStandardChi2FCN

Definition at line 47 of file FumiliFCNBase.h.

Public Member Functions
	FumiliFCNBase ()
	Default Constructor. More...

	FumiliFCNBase (unsigned int npar)
	Constructor which initializes the class with the function provided by the user for modeling the data. More...

virtual	~FumiliFCNBase ()

virtual void	EvaluateAll (const std::vector< double > &par)=0
	Evaluate function Value, Gradient and Hessian using Fumili approximation, for values of parameters p The resul is cached inside and is return from the FumiliFCNBase::Value , FumiliFCNBase::Gradient and FumiliFCNBase::Hessian methods. More...

virtual double	Value () const
	Return cached Value of objective function estimated previously using the FumiliFCNBase::EvaluateAll method. More...

virtual const std::vector < double > &	Gradient () const
	Return cached Value of function Gradient estimated previously using the FumiliFCNBase::EvaluateAll method. More...

virtual double	Hessian (unsigned int row, unsigned int col) const
	Return Value of the i-th j-th element of the Hessian matrix estimated previously using the FumiliFCNBase::EvaluateAll method. More...

virtual unsigned int	Dimension ()
	return number of function variable (parameters) , i.e. More...

Public Member Functions inherited from ROOT::Minuit2::FCNBase
virtual	~FCNBase ()

virtual double	operator() (const std::vector< double > &x) const =0
	The meaning of the vector of parameters is of course defined by the user, who uses the values of those parameters to calculate their function Value. More...

virtual double	ErrorDef () const
	Error definition of the function. More...

virtual double	Up () const =0
	Error definition of the function. More...

virtual void	SetErrorDef (double)
	add interface to set dynamically a new error definition Re-implement this function if needed. More...

Public Member Functions inherited from ROOT::Minuit2::GenericFunction
virtual	~GenericFunction ()

Protected Member Functions
virtual void	InitAndReset (unsigned int npar)
	initialize and reset values of gradien and Hessian More...

void	SetFCNValue (double value)

std::vector< double > &	Gradient ()

std::vector< double > &	Hessian ()

Private Attributes
unsigned int	fNumberOfParameters

double	fValue

std::vector< double >	fGradient

std::vector< double >	fHessian

#include <Minuit2/FumiliFCNBase.h>

Inheritance diagram for ROOT::Minuit2::FumiliFCNBase:

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Constructor & Destructor Documentation

ROOT::Minuit2::FumiliFCNBase::FumiliFCNBase ( )

inline

Default Constructor.

Need in this case to create when implementing EvaluateAll the Gradient and Hessian vectors with the right size

Definition at line 55 of file FumiliFCNBase.h.

ROOT::Minuit2::FumiliFCNBase::FumiliFCNBase ( unsigned int npar )

inline

Constructor which initializes the class with the function provided by the user for modeling the data.

Parameters

npar	the number of parameters

Definition at line 70 of file FumiliFCNBase.h.

virtual ROOT::Minuit2::FumiliFCNBase::~FumiliFCNBase ( )

inlinevirtual

Definition at line 83 of file FumiliFCNBase.h.

Member Function Documentation

virtual unsigned int ROOT::Minuit2::FumiliFCNBase::Dimension ( )

inlinevirtual

return number of function variable (parameters) , i.e.

function dimension

Definition at line 132 of file FumiliFCNBase.h.

virtual void ROOT::Minuit2::FumiliFCNBase::EvaluateAll ( const std::vector< double > & par )

pure virtual

Evaluate function Value, Gradient and Hessian using Fumili approximation, for values of parameters p The resul is cached inside and is return from the FumiliFCNBase::Value , FumiliFCNBase::Gradient and FumiliFCNBase::Hessian methods.

Parameters