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

template wrapped class for adapting to FumiliFCNBase signature

Author: Lorenzo Moneta

Definition at line 43 of file FumiliFCNAdapter.h.

Public Types
typedef Function::Type_t	Type_t

Public Member Functions
	FumiliFCNAdapter (const Function &f, unsigned int ndim, double up=1.)
virtual unsigned int	Dimension ()
	return number of function variable (parameters) , i.e.
virtual double	ErrorDef () const
	Error definition of the function.
void	EvaluateAll (std::vector< double > const &v) override
	evaluate gradient hessian and function value needed by Fumili
virtual std::vector< double >	G2 (std::vector< double > const &) const
	Return the diagonal elements of the Hessian (second derivatives).
virtual const std::vector< double > &	Gradient () const
	Return cached Value of function Gradient estimated previously using the FumiliFCNBase::EvaluateAll method.
std::vector< double >	Gradient (std::vector< double > const &) const override
	Return the gradient vector of the function at the given parameter point.
virtual std::vector< double >	GradientWithPrevResult (std::vector< double > const &parameters, double , double , double *) const
virtual GradientParameterSpace	gradParameterSpace () const
virtual bool	HasG2 () const
bool	HasGradient () const override
virtual bool	HasHessian () const
std::vector< double >	Hessian (std::vector< double > const &) const override
	Return Value of the i-th j-th element of the Hessian matrix estimated previously using the FumiliFCNBase::EvaluateAll method.
virtual double	Hessian (unsigned int row, unsigned int col) const
double	operator() (const double *v) const
double	operator() (std::vector< double > const &v) const override
	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.
void	SetErrorDef (double up) override
	add interface to set dynamically a new error definition Re-implement this function if needed.
double	Up () const override
	Error definition of the function.
virtual double	Value () const
	Return cached Value of objective function estimated previously using the FumiliFCNBase::EvaluateAll method.

Protected Member Functions
std::vector< double > &	Gradient ()
std::vector< double > &	Hessian ()
virtual void	InitAndReset (unsigned int npar)
	initialize and reset values of gradien and Hessian
void	SetFCNValue (double value)

Private Attributes
const Function &	fFunc
std::vector< double >	fGradient
std::vector< double >	fHessian
unsigned int	fNumberOfParameters
double	fUp
double	fValue

#include <Minuit2/FumiliFCNAdapter.h>

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

Member Typedef Documentation

◆ Type_t

template<class Function>

typedef Function::Type_t ROOT::Minuit2::FumiliFCNAdapter< Function >::Type_t

Definition at line 47 of file FumiliFCNAdapter.h.

Constructor & Destructor Documentation

◆ FumiliFCNAdapter()

template<class Function>

ROOT::Minuit2::FumiliFCNAdapter< Function >::FumiliFCNAdapter	(	const Function &	f,
		unsigned int	ndim,
		double	up = 1. )

inline

Definition at line 49 of file FumiliFCNAdapter.h.

Member Function Documentation

◆ Dimension()

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

inlinevirtualinherited

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

function dimension

Definition at line 121 of file FumiliFCNBase.h.

◆ ErrorDef()

virtual double ROOT::Minuit2::FCNBase::ErrorDef ( ) const

inlinevirtualinherited

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.

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Definition at line 70 of file FCNBase.h.

◆ EvaluateAll()

template<class Function>

void ROOT::Minuit2::FumiliFCNAdapter< Function >::EvaluateAll ( std::vector< double > const & v )

overridevirtual

evaluate gradient hessian and function value needed by Fumili

Implements ROOT::Minuit2::FumiliFCNBase.

Definition at line 69 of file FumiliFCNAdapter.h.

◆ G2()

virtual std::vector< double > ROOT::Minuit2::FCNBase::G2 ( std::vector< double > const & ) const

inlinevirtualinherited

Return the diagonal elements of the Hessian (second derivatives).

By default, returns an empty vector. Override this method if analytic second derivatives (per-parameter curvature) are available.

Parameters

v	Parameter vector.

Returns: Vector of second derivatives with respect to each parameter.

Reimplemented in ROOT::Minuit2::FCNAdapter.

Definition at line 116 of file FCNBase.h.

◆ Gradient() [1/3]

std::vector< double > & ROOT::Minuit2::FumiliFCNBase::Gradient ( )

inlineprotectedinherited

Definition at line 138 of file FumiliFCNBase.h.

◆ Gradient() [2/3]

virtual const std::vector< double > & ROOT::Minuit2::FumiliFCNBase::Gradient ( ) const

inlinevirtualinherited

Return cached Value of function Gradient estimated previously using the FumiliFCNBase::EvaluateAll method.

Definition at line 97 of file FumiliFCNBase.h.

◆ Gradient() [3/3]

std::vector< double > ROOT::Minuit2::FumiliFCNBase::Gradient ( std::vector< double > const & ) const

inlineoverridevirtualinherited

Return the gradient vector of the function at the given parameter point.

By default, returns an empty vector (no analytic gradient provided). Override this method if an analytic gradient is available.

Parameters

v	Parameter vector.

Returns: Gradient vector with respect to the parameters.

Reimplemented from ROOT::Minuit2::FCNBase.

Definition at line 98 of file FumiliFCNBase.h.

◆ GradientWithPrevResult()

virtual std::vector< double > ROOT::Minuit2::FCNBase::GradientWithPrevResult	(	std::vector< double > const &	parameters,
		double *	,
		double *	,
		double *	) const

inlinevirtualinherited

Warning: Not meant to be overridden! This is a requirement for an internal optimization in RooFit that might go away with any refactoring.

Definition at line 99 of file FCNBase.h.

◆ gradParameterSpace()

virtual GradientParameterSpace ROOT::Minuit2::FCNBase::gradParameterSpace ( ) const

inlinevirtualinherited

Warning: Not meant to be overridden! This is a requirement for an internal optimization in RooFit that might go away with any refactoring.

Definition at line 107 of file FCNBase.h.

◆ HasG2()

virtual bool ROOT::Minuit2::FCNBase::HasG2 ( ) const

inlinevirtualinherited

Reimplemented in ROOT::Minuit2::FCNAdapter.

Definition at line 129 of file FCNBase.h.

◆ HasGradient()

bool ROOT::Minuit2::FumiliFCNBase::HasGradient ( ) const

inlineoverridevirtualinherited

Reimplemented from ROOT::Minuit2::FCNBase.

Definition at line 56 of file FumiliFCNBase.h.

◆ HasHessian()

virtual bool ROOT::Minuit2::FCNBase::HasHessian ( ) const

inlinevirtualinherited

Reimplemented in ROOT::Minuit2::FCNAdapter.

Definition at line 127 of file FCNBase.h.

◆ Hessian() [1/3]

std::vector< double > & ROOT::Minuit2::FumiliFCNBase::Hessian ( )

inlineprotectedinherited

Definition at line 140 of file FumiliFCNBase.h.

◆ Hessian() [2/3]

std::vector< double > ROOT::Minuit2::FumiliFCNBase::Hessian ( std::vector< double > const & ) const

inlineoverridevirtualinherited

Return Value of the i-th j-th element of the Hessian matrix estimated previously using the FumiliFCNBase::EvaluateAll method.

Parameters

row	row Index of the matrix
col	col Index of the matrix

Reimplemented from ROOT::Minuit2::FCNBase.

Definition at line 107 of file FumiliFCNBase.h.

◆ Hessian() [3/3]

virtual double ROOT::Minuit2::FumiliFCNBase::Hessian	(	unsigned int	row,
		unsigned int	col ) const

inlinevirtualinherited

Definition at line 108 of file FumiliFCNBase.h.

◆ InitAndReset()

virtual void ROOT::Minuit2::FumiliFCNBase::InitAndReset ( unsigned int npar )

inlineprotectedvirtualinherited

initialize and reset values of gradien and Hessian

Definition at line 128 of file FumiliFCNBase.h.

◆ operator()() [1/2]

template<class Function>

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

inline

Definition at line 52 of file FumiliFCNAdapter.h.

◆ operator()() [2/2]

template<class Function>

double ROOT::Minuit2::FumiliFCNAdapter< Function >::operator() ( std::vector< double > const & v ) const

inlineoverridevirtual

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

v	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 51 of file FumiliFCNAdapter.h.

◆ SetErrorDef()

template<class Function>

void ROOT::Minuit2::FumiliFCNAdapter< Function >::SetErrorDef ( double )

inlineoverridevirtual

add interface to set dynamically a new error definition Re-implement this function if needed.

Reimplemented from ROOT::Minuit2::FCNBase.

Definition at line 55 of file FumiliFCNAdapter.h.

◆ SetFCNValue()

void ROOT::Minuit2::FumiliFCNBase::SetFCNValue ( double value )

inlineprotectedinherited

Definition at line 136 of file FumiliFCNBase.h.

◆ Up()

template<class Function>

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

inlineoverridevirtual

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 53 of file FumiliFCNAdapter.h.

◆ Value()

virtual double ROOT::Minuit2::FumiliFCNBase::Value ( ) const

inlinevirtualinherited

Return cached Value of objective function estimated previously using the FumiliFCNBase::EvaluateAll method.

Definition at line 91 of file FumiliFCNBase.h.

Member Data Documentation

◆ fFunc

template<class Function>

const Function& ROOT::Minuit2::FumiliFCNAdapter< Function >::fFunc

private

Definition at line 64 of file FumiliFCNAdapter.h.

◆ fGradient

std::vector<double> ROOT::Minuit2::FumiliFCNBase::fGradient

privateinherited

Definition at line 145 of file FumiliFCNBase.h.

◆ fHessian

std::vector<double> ROOT::Minuit2::FumiliFCNBase::fHessian

privateinherited

Definition at line 146 of file FumiliFCNBase.h.

◆ fNumberOfParameters

unsigned int ROOT::Minuit2::FumiliFCNBase::fNumberOfParameters

privateinherited

Definition at line 143 of file FumiliFCNBase.h.

◆ fUp

template<class Function>

double ROOT::Minuit2::FumiliFCNAdapter< Function >::fUp

private

Definition at line 65 of file FumiliFCNAdapter.h.

◆ fValue

double ROOT::Minuit2::FumiliFCNBase::fValue

privateinherited

Definition at line 144 of file FumiliFCNBase.h.

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

math/minuit2/inc/Minuit2/FumiliFCNAdapter.h

Public Types

Public Member Functions

Protected Member Functions

Private Attributes

Member Typedef Documentation

◆ Type_t

Constructor & Destructor Documentation

◆ FumiliFCNAdapter()

Member Function Documentation

◆ Dimension()

◆ ErrorDef()

◆ EvaluateAll()

◆ G2()

◆ Gradient() [1/3]

◆ Gradient() [2/3]

◆ Gradient() [3/3]

◆ GradientWithPrevResult()

◆ gradParameterSpace()

◆ HasG2()

◆ HasGradient()

◆ HasHessian()

◆ Hessian() [1/3]

◆ Hessian() [2/3]

◆ Hessian() [3/3]

◆ InitAndReset()

◆ operator()() [1/2]

◆ operator()() [2/2]

◆ SetErrorDef()

◆ SetFCNValue()

◆ Up()

◆ Value()

Member Data Documentation

◆ fFunc

◆ fGradient

◆ fHessian

◆ fNumberOfParameters

◆ fUp

◆ fValue