template<class Function>
class ROOT::Minuit2::FCNGradAdapter< Function >

template wrapped class for adapting to FCNBase signature a IGradFunction

Author: Lorenzo Moneta

Definition at line 38 of file FCNGradAdapter.h.

Public Member Functions
	FCNGradAdapter (const Function &f, double up=1.)

	~FCNGradAdapter ()

double	operator() (const std::vector< double > &v) const
	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...

double	operator() (const double *v) const

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

std::vector< double >	Gradient (const std::vector< double > &v) const

bool	CheckGradient () const

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

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

virtual double	ErrorDef () const
	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 ()

Private Attributes
const Function &	fFunc

double	fUp

std::vector< double >	fGrad

#include <Minuit2/FCNGradAdapter.h>

Inheritance diagram for ROOT::Minuit2::FCNGradAdapter< Function >:

[legend]

Constructor & Destructor Documentation

template<class Function>

ROOT::Minuit2::FCNGradAdapter< Function >::FCNGradAdapter	(	const Function &	f,
		double	up = `1.`
	)

inline

Definition at line 42 of file FCNGradAdapter.h.

template<class Function>

ROOT::Minuit2::FCNGradAdapter< Function >::~FCNGradAdapter ( )

inline

Definition at line 49 of file FCNGradAdapter.h.

Member Function Documentation

template<class Function>

bool ROOT::Minuit2::FCNGradAdapter< Function >::CheckGradient ( ) const

inlinevirtual

Reimplemented from ROOT::Minuit2::FCNGradientBase.

Definition at line 74 of file FCNGradAdapter.h.

template<class Function>

std::vector<double> ROOT::Minuit2::FCNGradAdapter< Function >::Gradient ( const std::vector< double > & v ) const

inlinevirtual

Implements ROOT::Minuit2::FCNGradientBase.

Definition at line 61 of file FCNGradAdapter.h.

template<class Function>

double ROOT::Minuit2::FCNGradAdapter< Function >::operator() ( const std::vector< double > & x ) const

inlinevirtual

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.

The order and the position of these parameters is strictly the one specified by the user when supplying the starting values for minimization. The starting values must be specified by the user, either via an std::vector<double> or the MnUserParameters supplied as input to the MINUIT minimizers such as VariableMetricMinimizer or MnMigrad. Later values are determined by MINUIT as it searches for the Minimum or performs whatever analysis is requested by the user.

Parameters

par	function parameters as defined by the user.

Returns: the Value of the function.

See Also: MnUserParameters; VariableMetricMinimizer; MnMigrad

Implements ROOT::Minuit2::FCNBase.

Definition at line 52 of file FCNGradAdapter.h.

template<class Function>

double ROOT::Minuit2::FCNGradAdapter< Function >::operator() ( const double * v ) const

inline

Definition at line 55 of file FCNGradAdapter.h.

template<class Function>

double ROOT::Minuit2::FCNGradAdapter< Function >::Up ( ) const

inlinevirtual

Error definition of the function.

MINUIT defines Parameter errors as the change in Parameter Value required to change the function Value by up. Normally, for chisquared fits it is 1, and for negative log likelihood, its Value is 0.5. If the user wants instead the 2-sigma errors for chisquared fits, it becomes 4, as Chi2(x+n*sigma) = Chi2(x) + n*n.

Implements ROOT::Minuit2::FCNBase.

Definition at line 59 of file FCNGradAdapter.h.