library: libTMVA
#include "GeneticCuts.h"

TMVA::GeneticCuts

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

class TMVA::GeneticCuts : public TMVA::GeneticBase

Inheritance Chart:
TMVA::GeneticBase
<-
TMVA::GeneticCuts
 

    public:

                         GeneticCuts(Int_t size, vector<pair<double,double>*,allocator<pair<double,double>*> > ranges)
                         GeneticCuts(const TMVA::GeneticCuts&)
                 virtual ~GeneticCuts()
          static TClass* Class()
        virtual Double_t FitnessFunction(const vector<Double_t>& parameters)
         virtual TClass* IsA() const
        virtual Double_t NewFitness(Double_t oldF, Double_t newF)
      TMVA::GeneticCuts& operator=(const TMVA::GeneticCuts&)
            virtual void ShowMembers(TMemberInspector& insp, char* parent)
            virtual void Streamer(TBuffer& b)
                    void StreamerNVirtual(TBuffer& b)

Data Members






Class Description


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 User-defined class for genetics algorithm;
 defines interface to the fitness function
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 GeneticCuts( Int_t size, std::vector<LowHigh_t*> ranges )


 constructor



Double_t FitnessFunction( const std::vector<Double_t> & parameters )


 fitness function interface for Genetics Algorithm application of cut
 optimisation method



 GeneticCuts( Int_t size, std::vector<LowHigh_t*> ranges )




virtual ~GeneticCuts()




Double_t NewFitness( Double_t oldF, Double_t newF )







Author: Andreas Hoecker, Peter Speckmayer, Helge Voss, Kai Voss

Last update: root/tmva $Id: GeneticCuts.cxx,v 1.3 2006/05/23 19:35:06 brun Exp $ 

Copyright  (c) 2005:                                                            *









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