// @(#)root/tmva $Id$ // Author: Andreas Hoecker, Joerg Stelzer, Helge Voss, Krzysztof Danielowski, Kamil Kraszewski, Maciej Kruk /********************************************************************************** * Project: TMVA - a Root-integrated toolkit for multivariate data analysis * * Package: TMVA * * Class : SimulatedAnnealing * * Web : http://tmva.sourceforge.net * * * * Description: * * Implementation of simulated annealing fitting procedure * * * * Authors (alphabetical): * * Krzysztof Danielowski - IFJ & AGH, Poland * * Kamil Kraszewski - IFJ & UJ, Poland * * Maciej Kruk - IFJ & AGH, Poland * * * * Copyright (c) 2008: * * IFJ-Krakow, Poland * * CERN, Switzerland * * MPI-K Heidelberg, Germany * * * * Redistribution and use in source and binary forms, with or without * * modification, are permitted according to the terms listed in LICENSE * * (http://tmva.sourceforge.net/LICENSE) * **********************************************************************************/ #ifndef ROOT_TMVA_SimulatedAnnealing #define ROOT_TMVA_SimulatedAnnealing ////////////////////////////////////////////////////////////////////////// // // // SimulatedAnnealing // // // // Base implementation of simulated annealing fitting procedure // // // ////////////////////////////////////////////////////////////////////////// #include #include #ifndef ROOT_TMVA_Types #include "TMVA/Types.h" #endif class TRandom; namespace TMVA { class IFitterTarget; class Interval; class MsgLogger; class SimulatedAnnealing { public: SimulatedAnnealing( IFitterTarget& target, const std::vector& ranges ); virtual ~SimulatedAnnealing(); // returns FCN value at minimum Double_t Minimize( std::vector& parameters ); // accessors void SetMaxCalls ( Int_t mc ) { fMaxCalls = mc; } void SetInitTemp ( Double_t it ) { fInitialTemperature = it; } void SetMinTemp ( Double_t min ) { fMinTemperature = min; } void SetAccuracy ( Double_t eps ) { fEps = eps; } void SetTemperatureScale ( Double_t scale ) { fTemperatureScale = scale; } void SetAdaptiveSpeed ( Double_t speed ) { fAdaptiveSpeed = speed; } void SetOptions( Int_t maxCalls, Double_t initialTemperature, Double_t minTemperature, Double_t eps, TString kernelTemperatureS, Double_t temperatureScale, Double_t adaptiveSpeed, Double_t temperatureAdaptiveStep, Bool_t useDefaultScale, Bool_t useDefaultTemperature ); private: enum EKernelTemperature { kSqrt = 0, kIncreasingAdaptive, kDecreasingAdaptive, kLog, kHomo, kSin, kGeo } fKernelTemperature; void FillWithRandomValues( std::vector& parameters ); void ReWriteParameters( std::vector& from, std::vector& to ); void GenerateNewTemperature(Double_t& currentTemperature, Int_t Iter ); void GenerateNeighbour( std::vector& parameters, std::vector& oldParameters, Double_t currentTemperature ); Bool_t ShouldGoIn( Double_t currentFit, Double_t localFit, Double_t currentTemperature ); void SetDefaultScale(); Double_t GenerateMaxTemperature( std::vector& parameters ); std::vector GenerateNeighbour( std::vector& parameters, Double_t currentTemperature ); IFitterTarget& fFitterTarget; // the fitter target TRandom* fRandom; // random generator const std::vector& fRanges; // parameter ranges // fitter setup Int_t fMaxCalls; // maximum number of minimisation calls Double_t fInitialTemperature; // initial temperature Double_t fMinTemperature; // mimimum temperature Double_t fEps; // epsilon Double_t fTemperatureScale; // how fast temperature change Double_t fAdaptiveSpeed; // how fast temperature change in adaptive (in adaptive two variables describe // the change of temperature, but fAdaptiveSpeed should be 1.0 and its not // recomended to change it) Double_t fTemperatureAdaptiveStep;// used to calculate InitialTemperature if fUseDefaultTemperature Bool_t fUseDefaultScale; // if TRUE, SA calculates its own TemperatureScale Bool_t fUseDefaultTemperature; // if TRUE, SA calculates its own InitialTemperature (MinTemperautre) mutable MsgLogger* fLogger; // message logger MsgLogger& Log() const { return *fLogger; } Double_t fProgress; ClassDef(SimulatedAnnealing,0) // Base class for Simulated Annealing fitting }; } // namespace TMVA #endif