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 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 const double * X() const
return pointer to X values at the minimum
 
const GeneticMinimizerParameters & MinimizerParameters() const
 
void SetRandomSeed(int seed)
 
virtual void SetOptions(const ROOT::Math::MinimizerOptions &opt)
 
virtual const double * Errors() const
return errors at the minimum
 
virtual unsigned int NFree() const
number of free variables (real dimension of the problem) this is <= Function().NDim() which is the to...
 
virtual double MinValue() const
return minimum function value
 
virtual bool SetVariable(unsigned int ivar, const std::string &name, double val, double step)
set a new free variable
 
void GetGeneticOptions(ROOT::Math::MinimizerOptions &opt) const
 
virtual void Clear()
reset for consecutive minimizations - implement if needed
 
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 ...
 
std::vector< double > fResult
 
TMVA::IFitterTarget * fFitness
 
virtual bool Minimize()
method to perform the minimization
 
std::vector< TMVA::Interval * > fRanges
 
virtual bool SetFixedVariable(unsigned int ivar, const std::string &name, double val)
set a new fixed variable (override if minimizer supports them )
 
GeneticMinimizer(int i=0)
 
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...
 
virtual unsigned int NCalls() const
number of function calls to reach the minimum
 
void SetParameters(const GeneticMinimizerParameters ¶ms)
 
virtual const double * MinGradient() const
return pointer to gradient values at the minimum
 
virtual ROOT::Math::MinimizerOptions Options() const
retrieve the minimizer options (implement derived class if needed)
 
GeneticMinimizerParameters fParameters
 
virtual void SetFunction(const ROOT::Math::IMultiGenFunction &func)
set the function to minimize
 
virtual unsigned int NDim() const
this is <= Function().NDim() which is the total number of variables (free+ constrained ones)
 
Documentation for the abstract class IBaseFunctionMultiDim.
 
Abstract Minimizer class, defining the interface for the various minimizer (like Minuit2,...
 
virtual void SetFunction(const ROOT::Math::IMultiGenFunction &func)=0
set the function to minimize
 
Interface for a fitter 'target'.
 
The TMVA::Interval Class.
 
Namespace for new Math classes and functions.
 
create variable transformations
 
GeneticMinimizerParameters()