library: libMinuit
#include "TFitter.h"

TFitter


class description - source file - inheritance tree (.pdf)

class TFitter : public TVirtualFitter

Inheritance Chart:
TObject
<-
TNamed
<-
TVirtualFitter
<-
TFitter

    public:
TFitter(Int_t maxpar = 25) TFitter(const TFitter&) virtual ~TFitter() virtual Double_t Chisquare(Int_t npar, Double_t* params) const static TClass* Class() virtual void Clear(Option_t* option = "") virtual Int_t ExecuteCommand(const char* command, Double_t* args, Int_t nargs) virtual void FixParameter(Int_t ipar) virtual Double_t* GetCovarianceMatrix() const virtual Double_t GetCovarianceMatrixElement(Int_t i, Int_t j) const virtual Int_t GetErrors(Int_t ipar, Double_t& eplus, Double_t& eminus, Double_t& eparab, Double_t& globcc) const virtual Int_t GetNumberFreeParameters() const virtual Int_t GetNumberTotalParameters() const virtual Double_t GetParameter(Int_t ipar) const virtual Int_t GetParameter(Int_t ipar, char* name, Double_t& value, Double_t& verr, Double_t& vlow, Double_t& vhigh) const virtual Double_t GetParError(Int_t ipar) const virtual Int_t GetStats(Double_t& amin, Double_t& edm, Double_t& errdef, Int_t& nvpar, Int_t& nparx) const virtual Double_t GetSumLog(Int_t i) virtual TClass* IsA() const virtual Bool_t IsFixed(Int_t ipar) const TFitter& operator=(const TFitter&) virtual void PrintResults(Int_t level, Double_t amin) const virtual void ReleaseParameter(Int_t ipar) virtual void SetFCN(void* fcn) virtual void SetFCN(void (*)(Int_t&, Double_t*, Double_t&f, Double_t*, Int_t) fcn) virtual void SetFitMethod(const char* name) virtual Int_t SetParameter(Int_t ipar, const char* parname, Double_t value, Double_t verr, Double_t vlow, Double_t vhigh) virtual void ShowMembers(TMemberInspector& insp, char* parent) virtual void Streamer(TBuffer& b) void StreamerNVirtual(TBuffer& b)

Data Members

    private:
Int_t fNlog Number of elements in fSunLog Double_t* fCovar Covariance matrix Double_t* fSumLog Sum of logs (array of fNlog elements) TMinuit* fMinuit pointer to the TMinuit object

Class Description


TFitter(Int_t maxpar)
*-*-*-*-*-*-*-*-*-*-*default constructor*-*-*-*-*-*-*-*-*-*-*-*-*
*-*                  ===================

~TFitter()
*-*-*-*-*-*-*-*-*-*-*default destructor*-*-*-*-*-*-*-*-*-*-*-*-*-*
*-*                  ==================

Double_t Chisquare(Int_t npar, Double_t *params) const
 return a chisquare equivalent

void Clear(Option_t *)
 reset the fitter environment

Int_t ExecuteCommand(const char *command, Double_t *args, Int_t nargs)
 Execute a fitter command;
   command : command string
   args    : list of nargs command arguments

void FixParameter(Int_t ipar)
 Fix parameter ipar.

Double_t* GetCovarianceMatrix() const
 return a pointer to the covariance matrix

Double_t GetCovarianceMatrixElement(Int_t i, Int_t j) const
 return element i,j from the covariance matrix

Int_t GetErrors(Int_t ipar,Double_t &eplus, Double_t &eminus, Double_t &eparab, Double_t &globcc) const
 return current errors for a parameter
   ipar     : parameter number
   eplus    : upper error
   eminus   : lower error
   eparab   : parabolic error
   globcc   : global correlation coefficient

Int_t GetNumberTotalParameters() const
 return the total number of parameters (free + fixed)

Int_t GetNumberFreeParameters() const
 return the number of free parameters

Double_t GetParError(Int_t ipar) const
 return error of parameter ipar

Double_t GetParameter(Int_t ipar) const
 return current value of parameter ipar

Int_t GetParameter(Int_t ipar, char *parname,Double_t &value,Double_t &verr,Double_t &vlow, Double_t &vhigh) const
 return current values for a parameter
   ipar     : parameter number
   parname  : parameter name
   value    : initial parameter value
   verr     : initial error for this parameter
   vlow     : lower value for the parameter
   vhigh    : upper value for the parameter
  WARNING! parname must be suitably dimensionned in the calling function.

Int_t GetStats(Double_t &amin, Double_t &edm, Double_t &errdef, Int_t &nvpar, Int_t &nparx) const
 return global fit parameters
   amin     : chisquare
   edm      : estimated distance to minimum
   errdef
   nvpar    : number of variable parameters
   nparx    : total number of parameters

Double_t GetSumLog(Int_t n)
 return Sum(log(i) i=0,n
 used by log likelihood fits

Bool_t IsFixed(Int_t ipar) const
return kTRUE if parameter ipar is fixed, kFALSE othersise)

void PrintResults(Int_t level, Double_t amin) const
 Print fit results

void ReleaseParameter(Int_t ipar)
 Release parameter ipar.

void SetFCN(void *fcn)
 Specify the address of the fitting algorithm (from the interpreter)

void SetFCN(void (*fcn)(Int_t &, Double_t *, Double_t &f, Double_t *, Int_t))
 Specify the address of the fitting algorithm

void SetFitMethod(const char *name)
 ret fit method (chisquare or loglikelihood)

Int_t SetParameter(Int_t ipar,const char *parname,Double_t value,Double_t verr,Double_t vlow, Double_t vhigh)
 set initial values for a parameter
   ipar     : parameter number
   parname  : parameter name
   value    : initial parameter value
   verr     : initial error for this parameter
   vlow     : lower value for the parameter
   vhigh    : upper value for the parameter



Inline Functions


            TClass* Class()
            TClass* IsA() const
               void ShowMembers(TMemberInspector& insp, char* parent)
               void Streamer(TBuffer& b)
               void StreamerNVirtual(TBuffer& b)
            TFitter TFitter(const TFitter&)
           TFitter& operator=(const TFitter&)


Author: Rene Brun 31/08/99
Last update: root/minuit:$Name: $:$Id: TFitter.cxx,v 1.32 2005/09/04 10:27:14 brun Exp $
Copyright (C) 1995-2000, Rene Brun and Fons Rademakers. *


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