MINT::MintFcnGrad Class Reference

#include <MintFcnGrad.h>

Inheritance diagram for MINT::MintFcnGrad:

Public Member Functions
	MintFcnGrad (IMinimisable *theFunction)
virtual double	operator() (const std::vector< double > &par) const
virtual std::vector< double >	Gradient (const std::vector< double > &par) const
void	SetBestMin (const double &best_min)

Private Member Functions
virtual double	Up () const

Private Attributes
IMinimisable *	_theFunction
const double	_error_def = 1.0
double	_best_min = 0.0

Detailed Description

Definition at line 10 of file MintFcnGrad.h.

Constructor & Destructor Documentation

MintFcnGrad()

MINT::MintFcnGrad::MintFcnGrad ( IMinimisable *  theFunction )

inline

Constructor

Definition at line 16 of file MintFcnGrad.h.

      :_theFunction(theFunction)
    {}

Member Function Documentation

Gradient()

virtual std::vector<double> MINT::MintFcnGrad::Gradient ( const std::vector< double > &  par ) const

inlinevirtual

User-supplied gradient

Definition at line 40 of file MintFcnGrad.h.

    { return _theFunction->Gradient(par); }

operator()()

virtual double MINT::MintFcnGrad::operator() ( const std::vector< double > &  par ) const

inlinevirtual

Calculate test-statistic from Minuit2 fit parameter guesses

Definition at line 23 of file MintFcnGrad.h.

    {
      for( unsigned int i=0; i<par.size(); ++i )
    _theFunction->getParSet()->getParPtr(i)->setCurrentFitVal(par[i]);
      _theFunction->parametersChanged();

      const double negll = _theFunction->getVal()-_best_min;

      std::cout << std::setprecision(std::numeric_limits<double>::digits10);
      std::cout << "-2logL = " << negll << std::endl;

      return negll;
    }

SetBestMin()

void MINT::MintFcnGrad::SetBestMin ( const double &  best_min )

inline

If minimisation fails due to edm being above tolerance, set the best known -2logL and reminimise

Definition at line 48 of file MintFcnGrad.h.

    { _best_min += best_min; }

Up()

virtual double MINT::MintFcnGrad::Up ( ) const

inlineprivatevirtual

Change in test-statistic that defines the uncertainty of fit parameters

Definition at line 55 of file MintFcnGrad.h.

    { return _error_def; }

Member Data Documentation

_best_min

double MINT::MintFcnGrad::_best_min = 0.0

private

Definition at line 62 of file MintFcnGrad.h.

_error_def

const double MINT::MintFcnGrad::_error_def = 1.0

private

Definition at line 60 of file MintFcnGrad.h.

_theFunction

IMinimisable* MINT::MintFcnGrad::_theFunction

private

Definition at line 58 of file MintFcnGrad.h.

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

• Mint/MintFcnGrad.h