12 #ifndef ROOT_Math_GeneticMinimizer 13 #define ROOT_Math_GeneticMinimizer 72 virtual bool SetLimitedVariable(
unsigned int ,
const std::string& ,
double ,
double ,
double,
double);
73 virtual bool SetVariable(
unsigned int ivar,
const std::string &
name,
double val,
double step);
78 virtual double Edm()
const;
79 virtual const double *
X()
const;
81 virtual unsigned int NCalls()
const;
83 virtual unsigned int NDim()
const;
84 virtual unsigned int NFree()
const;
87 virtual const double *
Errors()
const;
89 virtual double CovMatrix(
unsigned int i,
unsigned int j)
const;
virtual bool SetFixedVariable(unsigned int ivar, const std::string &name, double val)
set a new fixed variable (override if minimizer supports them )
void GetGeneticOptions(ROOT::Math::MinimizerOptions &opt) const
virtual unsigned int NFree() const
number of free variables (real dimension of the problem) this is <= Function().NDim() which is the to...
virtual bool Minimize()
method to perform the minimization
GeneticMinimizerParameters fParameters
Namespace for new ROOT classes and functions.
virtual bool SetVariable(unsigned int ivar, const std::string &name, double val, double step)
set a new free variable
virtual void SetOptions(const ROOT::Math::MinimizerOptions &opt)
virtual double MinValue() const
return minimum function value
virtual bool ProvidesError() const
minimizer provides error and error matrix
virtual double Edm() const
return expected distance reached from the minimum (re-implement if minimizer provides it ...
virtual unsigned int NDim() const
this is <= Function().NDim() which is the total number of variables (free+ constrained ones) ...
virtual void Clear()
reset for consecutive minimizations - implement if needed
Abstract Minimizer class, defining the interface for the various minimizer (like Minuit2, Minuit, GSL, etc..) Plug-in's exist in ROOT to be able to instantiate the derived classes like ROOT::Math::GSLMinimizer or ROOT::Math::Minuit2Minimizer via the plug-in manager.
GeneticMinimizerParameters()
void SetRandomSeed(int seed)
std::vector< double > fResult
Documentation for the abstract class IBaseFunctionMultiDim.
virtual void SetFunction(const ROOT::Math::IMultiGenFunction &func)=0
set the function to minimize
virtual ~GeneticMinimizer()
virtual double CovMatrix(unsigned int i, unsigned int j) const
return covariance matrices element for variables ivar,jvar if the variable is fixed the return value ...
The TMVA::Interval Class.
TMVA::IFitterTarget * fFitness
void SetParameters(const GeneticMinimizerParameters ¶ms)
std::vector< TMVA::Interval * > fRanges
const GeneticMinimizerParameters & MinimizerParameters() const
virtual const double * X() const
return pointer to X values at the minimum
GeneticMinimizer(int i=0)
virtual void SetFunction(const ROOT::Math::IMultiGenFunction &func)
set the function to minimize
virtual ROOT::Math::MinimizerOptions Options() const
retrieve the minimizer options (implement derived class if needed)
Namespace for new Math classes and functions.
Abstract ClassifierFactory template that handles arbitrary types.
virtual const double * Errors() const
return errors at the minimum
virtual const double * MinGradient() const
return pointer to gradient values at the minimum
Interface for a fitter 'target'.
virtual unsigned int NCalls() const
number of function calls to reach the minimum
virtual bool SetLimitedVariable(unsigned int, const std::string &, double, double, double, double)
set a new upper/lower limited variable (override if minimizer supports them ) otherwise as default se...