Class describing the configuration of the fit, options and parameter settings using the ROOT::Fit::ParameterSettings class @ingroup FitMain
| ~FitConfig() | |
| ROOT::Math::Minimizer* | CreateMinimizer() | 
| ROOT::Fit::FitConfig | FitConfig(unsigned int npar = 0) | 
| ROOT::Fit::FitConfig | FitConfig(const ROOT::Fit::FitConfig&) | 
| const string& | MinimizerAlgoType() const | 
| const ROOT::Fit::MinimizerControlParams& | MinimizerOptions() const | 
| ROOT::Fit::MinimizerControlParams& | MinimizerOptions() | 
| const string& | MinimizerType() const | 
| bool | NormalizeErrors() | 
| ROOT::Fit::FitConfig& | operator=(const ROOT::Fit::FitConfig&) | 
| const vector<ROOT::Fit::ParameterSettings>& | ParamsSettings() const | 
| vector<ROOT::Fit::ParameterSettings>& | ParamsSettings() | 
| const ROOT::Fit::ParameterSettings& | ParSettings(unsigned int i) const | 
| ROOT::Fit::ParameterSettings& | ParSettings(unsigned int i) | 
| static void | SetDefaultMinimizer(const string& type, const string& algo = "") | 
| void | SetMinimizer(const string& type, string algo = "") | 
| void | SetNormErrors(bool on) | 
| void | SetParamsSettings(const ROOT::Math::IParamMultiFunction& func) | 
| void | SetParamsSettings(unsigned int npar, const double* params = 0) | 
| string | fMinimAlgoType | algorithm type (MIGRAD, SIMPLEX, etc..) | 
| ROOT::Fit::MinimizerControlParams | fMinimizerOpts | minimizer control parameters | 
| string | fMinimizerType | minimizer type (MINUIT, MINUIT2, etc..) | 
| bool | fNormErrors | flag for error normalization | 
| vector<ROOT::Fit::ParameterSettings> | fSettings | vector with the parameter settings | 

      get the parameter settings for the i-th parameter (const method)
{ return fSettings[i]; }
      get the parameter settings for the i-th parameter (non-const method)
{ return fSettings[i]; }
      get the vector of parameter settings  (const method)
{ return fSettings; }
      get the vector of parameter settings  (non-const method)
{ return fSettings; }
      set the parameter settings from number of params and optionally a vector of values (otherwise are set to zero)
      set the parameter settings from a function
      access to the minimizer  control parameter (const method)
{ return fMinimizerOpts; }
      access to the minimizer  control parameter (non const method)
{ return fMinimizerOpts; }
      return type of minimizer algorithms
{ return fMinimAlgoType; }
      flag to check if resulting errors are be normalized according to chi2/ndf
{ return fNormErrors; }
      set the option to normalize the error on the result  according to chi2/ndf
{ fNormErrors= on; }
      static function to control default minimizer type and algorithm