class ROOT::Minuit2::MnHesse


    API class for calculating the numerical covariance matrix
    (== 2x Inverse Hessian == 2x Inverse 2nd derivative); can be used by the
    user or Minuit itself

Function Members (Methods)

public:

	~MnHesse()
ROOT::Minuit2::MnHesse	MnHesse()
ROOT::Minuit2::MnHesse	MnHesse(unsigned int stra)
ROOT::Minuit2::MnHesse	MnHesse(const ROOT::Minuit2::MnStrategy& stra)
ROOT::Minuit2::MnHesse	MnHesse(const ROOT::Minuit2::MnHesse&)
unsigned int	Ncycles() const
ROOT::Minuit2::MnUserParameterState	operator()(const ROOT::Minuit2::FCNBase&, const ROOT::Minuit2::MnUserParameters&, unsigned int maxcalls = 0) const
ROOT::Minuit2::MnUserParameterState	operator()(const ROOT::Minuit2::FCNBase&, const ROOT::Minuit2::MnUserParameterState&, unsigned int maxcalls = 0) const
void	operator()(const ROOT::Minuit2::FCNBase&, ROOT::Minuit2::FunctionMinimum&, unsigned int maxcalls = 0) const
ROOT::Minuit2::MnUserParameterState	operator()(const ROOT::Minuit2::FCNBase&, const vector<double>&, const vector<double>&, unsigned int maxcalls = 0) const
ROOT::Minuit2::MnUserParameterState	operator()(const ROOT::Minuit2::FCNBase&, const vector<double>&, const ROOT::Minuit2::MnUserCovariance&, unsigned int maxcalls = 0) const
ROOT::Minuit2::MnUserParameterState	operator()(const ROOT::Minuit2::FCNBase&, const ROOT::Minuit2::MnUserParameters&, const ROOT::Minuit2::MnUserCovariance&, unsigned int maxcalls = 0) const
ROOT::Minuit2::MinimumState	operator()(const ROOT::Minuit2::MnFcn&, const ROOT::Minuit2::MinimumState&, const ROOT::Minuit2::MnUserTransformation&, unsigned int maxcalls = 0) const
ROOT::Minuit2::MnUserParameterState	operator()(const ROOT::Minuit2::FCNBase&, const vector<double>&, unsigned int nrow, const vector<double>&, unsigned int maxcalls = 0) const
ROOT::Minuit2::MnHesse&	operator=(const ROOT::Minuit2::MnHesse&)
double	TolerG2() const
double	Tolerstp() const

Data Members

private:

ROOT::Minuit2::MnStrategy	fStrategy

Class Charts

Inheritance Inherited Members Includes Libraries

Function documentation

MnHesse()

 default constructor with default strategy

{}

MnHesse(unsigned int stra)

 constructor with user-defined strategy level

{}

MnHesse(const MnStrategy& stra)

 conctructor with specific strategy

{}

~MnHesse()

{}

MnUserParameterState operator()(const FCNBase&, const std::vector<double>&, const std::vector<double>&, unsigned int maxcalls=0)

 low-level API

 FCN + parameters + errors

MnUserParameterState operator()(const ROOT::Minuit2::FCNBase& , const vector<double>& , unsigned int nrow, const vector<double>& , unsigned int maxcalls = 0) const

 FCN + parameters + covariance

MnUserParameterState operator()(const FCNBase&, const std::vector<double>&, const MnUserCovariance&, unsigned int maxcalls=0)

 FCN + parameters + MnUserCovariance

MnUserParameterState operator()(const FCNBase&, const MnUserParameters&, unsigned int maxcalls=0)

 high-level API

 FCN + MnUserParameters

MnUserParameterState operator()(const FCNBase&, const MnUserParameters&, const MnUserCovariance&, unsigned int maxcalls=0)

 FCN + MnUserParameters + MnUserCovariance

MnUserParameterState operator()(const FCNBase&, const MnUserParameterState&, unsigned int maxcalls=0)

 FCN + MnUserParameterState

void operator()(const ROOT::Minuit2::FCNBase& , ROOT::Minuit2::FunctionMinimum& , unsigned int maxcalls = 0) const

 API to use MnHesse after minimization when function mimimum is avalilable, otherwise information on the last state will be
 lost. (It would be needed to re-call the gradient and spend extra useless function calls)
 The Function Minimum is updated (modified) by adding the Hesse results as last state of minimization

MinimumState operator()(const MnFcn&, const MinimumState&, const MnUserTransformation&, unsigned int maxcalls=0)

 internal interface

unsigned int Ncycles() const

 forward interface of MnStrategy

{return fStrategy.HessianNCycles();}

double Tolerstp() const

{return fStrategy.HessianStepTolerance();}

double TolerG2() const

{return fStrategy.HessianG2Tolerance();}