Extension of the FCNBase for providing the analytical Gradient of the function.

The size of the output Gradient vector must be equal to the size of the input Parameter vector.

Definition at line 26 of file FCNGradientBase.h.

Public Member Functions
bool	HasGradient () const final

Public Member Functions inherited from ROOT::Minuit2::FCNBase
virtual double	ErrorDef () const
	Error definition of the function.

virtual std::vector< double >	G2 (std::span< const double >) const
	return second derivatives (diagonal of the Hessian matrix)

virtual std::vector< double >	Gradient (std::span< const double >) const

virtual std::vector< double >	GradientWithPrevResult (std::span< const double > parameters, double , double , double *) const

virtual GradientParameterSpace	gradParameterSpace () const

virtual bool	HasG2 () const

virtual bool	HasHessian () const

virtual std::vector< double >	Hessian (std::span< const double >) const
	return Hessian

double	operator() (std::span< const double > v) const override=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.

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

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

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

Inheritance diagram for ROOT::Minuit2::FCNGradientBase:

Member Function Documentation

◆ HasGradient()

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

inlinefinalvirtual

Definition at line 28 of file FCNGradientBase.h.

Libraries for ROOT::Minuit2::FCNGradientBase:

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