class ROOT::Minuit2::FumiliFCNBase: public ROOT::Minuit2::FCNBase



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 <A HREF="http://www.cern.ch/winkler/minuit/tutorial/mntutorial.pdf">MINUIT Tutorial</A> on function minimization, section 5

@see FumiliChi2FCN

@see FumiliStandardChi2FCN

@ingroup Minuit

Function Members (Methods)

This is an abstract class, constructors will not be documented.
Look at the header to check for available constructors.

public:

virtual	~FumiliFCNBase()
virtual unsigned int	Dimension()
virtual double	ROOT::Minuit2::FCNBase::ErrorDef() const
virtual void	EvaluateAll(const vector<double>& par)
virtual const vector<double>&	Gradient() const
virtual double	Hessian(unsigned int row, unsigned int col) const
virtual double	ROOT::Minuit2::FCNBase::operator()(const vector<double>& x) const
ROOT::Minuit2::FumiliFCNBase&	operator=(const ROOT::Minuit2::FumiliFCNBase&)
virtual void	ROOT::Minuit2::FCNBase::SetErrorDef(double)
virtual double	ROOT::Minuit2::FCNBase::Up() const
virtual double	Value() const

protected:

vector<double>&	Gradient()
vector<double>&	Hessian()
virtual void	InitAndReset(unsigned int npar)
void	SetFCNValue(double value)

Data Members

private:

vector<double>	fGradient
vector<double>	fHessian
unsigned int	fNumberOfParameters
double	fValue

Class Charts

Inheritance Inherited Members Includes Libraries

Function documentation

virtual ~FumiliFCNBase()

   FumiliFCNBase(const ParametricFunction& modelFCN) { fModelFunction = &modelFCN; }

{}

void EvaluateAll(const vector<double>& par)


      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

      @param par vector of parameters

double Value() const

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

{ return fValue; }

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

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

{ return fGradient; }

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
      @param row row Index of the matrix
      @param col col Index of the matrix

unsigned int Dimension()

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

{ return fNumberOfParameters; }

void InitAndReset(unsigned int npar)

      initialize and reset values of gradien and Hessian

void SetFCNValue(double value)

 methods to be used by the derived classes to set the values

{ fValue = value; }

std::vector<double> & Gradient()

{ return fGradient; }

std::vector<double> & Hessian()

{ return fHessian; }