// // ******************************************************************** // * License and Disclaimer * // * * // * The Geant4 software is copyright of the Copyright Holders of * // * the Geant4 Collaboration. It is provided under the terms and * // * conditions of the Geant4 Software License, included in the file * // * LICENSE and available at http://cern.ch/geant4/license . These * // * include a list of copyright holders. * // * * // * Neither the authors of this software system, nor their employing * // * institutes,nor the agencies providing financial support for this * // * work make any representation or warranty, express or implied, * // * regarding this software system or assume any liability for its * // * use. Please see the license in the file LICENSE and URL above * // * for the full disclaimer and the limitation of liability. * // * * // * This code implementation is the result of the scientific and * // * technical work of the GEANT4 collaboration. * // * By using, copying, modifying or distributing the software (or * // * any work based on the software) you agree to acknowledge its * // * use in resulting scientific publications, and indicate your * // * acceptance of all terms of the Geant4 Software license. * // ******************************************************************** // // // $Id$ // // Class description: // // Class implementing minimization of a function of n variables. // Reference: "A Simplex method for function minimization" // by J. A. Nelder and R. Mead, Computer Journal, 7, 308 (1965) // and also: "Numerical Recipes in C: the art of scientific computing" // by William H., Cambridge University Press ISBN 0521437202 (1992) // Author: Tatsumi Koi (SLAC/SCCS), 2007 // -------------------------------------------------------------------------- #ifndef G4SimplexDownhill #define G4SimplexDownhill_h #include "globals.hh" #include #include template class G4SimplexDownhill { public: // with description G4SimplexDownhill( T* tp , G4int n ) : currentValue(0.), target(tp), numberOfVariable(n) { init(); } ~G4SimplexDownhill(); G4double GetMinimum(); std::vector< G4double > GetMinimumPoint(); private: G4double getValue( std::vector< G4double > x ) { return target->GetValueOfMinimizingFunction( x ); } void initialize(); std::vector< std::vector< G4double > > currentSimplex; void calHeights(); std::vector< G4double > currentHeights; G4double currentValue; std::vector< G4double > calCentroid( G4int ); G4bool isItGoodEnough(); std::vector< G4double > getReflectionPoint( std::vector< G4double > , std::vector< G4double > ); std::vector< G4double > getExpansionPoint( std::vector< G4double > , std::vector< G4double > ); std::vector< G4double > getContractionPoint( std::vector< G4double > , std::vector< G4double > ); void doDownhill(); void init(); private: T* target; G4int numberOfVariable; G4double alpha; G4double beta; G4double gamma; G4double max_se; G4double max_ratio; G4int maximum_no_trial; G4bool minimized; std::vector< G4double > minimumPoint; }; #include "G4SimplexDownhill.icc" #endif