// @(#)root/mathmore:$Id$ // Author: L. Moneta Oct 2012 /********************************************************************** * * * Copyright (c) 2006 LCG ROOT Math Team, CERN/PH-SFT * * * * * **********************************************************************/ // Header file for class BasicMinimizer #ifndef ROOT_Math_BasicMinimizer #define ROOT_Math_BasicMinimizer #ifndef ROOT_Math_Minimizer #include "Math/Minimizer.h" #endif #ifndef ROOT_Math_IFunctionfwd #include "Math/IFunctionfwd.h" #endif #ifndef ROOT_Math_IParamFunctionfwd #include "Math/IParamFunctionfwd.h" #endif #ifndef ROOT_Math_MinimTransformVariable #include "Math/MinimTransformVariable.h" #endif #include #include #include namespace ROOT { namespace Math { class MinimTransformFunction; //_______________________________________________________________________________ /** Base Minimizer class, which defines the basic funcionality of various minimizer implementations (apart from Minuit and Minuit2) It provides support for storing parameter values, step size, parameter transofrmation etc.. in case real minimizer impelmentations do not provide such functionality. This is an internal class and should not be used directly by the user @ingroup MultiMin */ class BasicMinimizer : public ROOT::Math::Minimizer { public: /** Default constructor */ BasicMinimizer ( ); /** Destructor */ virtual ~BasicMinimizer (); private: // usually copying is non trivial, so we make this unaccessible /** Copy constructor */ BasicMinimizer(const BasicMinimizer &) : Minimizer() {} /** Assignment operator */ BasicMinimizer & operator = (const BasicMinimizer & rhs) { if (this == &rhs) return *this; // time saving self-test return *this; } public: /// set the function to minimize virtual void SetFunction(const ROOT::Math::IMultiGenFunction & func); /// set gradient the function to minimize virtual void SetFunction(const ROOT::Math::IMultiGradFunction & func); /// set free variable virtual bool SetVariable(unsigned int ivar, const std::string & name, double val, double step); /// set lower limit variable (override if minimizer supports them ) virtual bool SetLowerLimitedVariable(unsigned int ivar , const std::string & name , double val , double step , double lower ); /// set upper limit variable (override if minimizer supports them ) virtual bool SetUpperLimitedVariable(unsigned int ivar , const std::string & name , double val , double step , double upper ); /// set upper/lower limited variable (override if minimizer supports them ) virtual bool SetLimitedVariable(unsigned int ivar , const std::string & name , double val , double step , double /* lower */, double /* upper */); /// set fixed variable (override if minimizer supports them ) virtual bool SetFixedVariable(unsigned int /* ivar */, const std::string & /* name */, double /* val */); /// set the value of an existing variable virtual bool SetVariableValue(unsigned int ivar, double val ); /// set the values of all existing variables (array must be dimensioned to the size of existing parameters) virtual bool SetVariableValues(const double * x); /// set the step size of an already existing variable virtual bool SetVariableStepSize(unsigned int ivar, double step ); /// set the lower-limit of an already existing variable virtual bool SetVariableLowerLimit(unsigned int ivar, double lower); /// set the upper-limit of an already existing variable virtual bool SetVariableUpperLimit(unsigned int ivar, double upper); /// set the limits of an already existing variable virtual bool SetVariableLimits(unsigned int ivar, double lower, double upper); /// fix an existing variable virtual bool FixVariable(unsigned int ivar); /// release an existing variable virtual bool ReleaseVariable(unsigned int ivar); /// query if an existing variable is fixed (i.e. considered constant in the minimization) /// note that by default all variables are not fixed virtual bool IsFixedVariable(unsigned int ivar) const; /// get variable settings in a variable object (like ROOT::Fit::ParamsSettings) virtual bool GetVariableSettings(unsigned int ivar, ROOT::Fit::ParameterSettings & varObj) const; /// get name of variables (override if minimizer support storing of variable names) virtual std::string VariableName(unsigned int ivar) const; /// get index of variable given a variable given a name /// return -1 if variable is not found virtual int VariableIndex(const std::string & name) const; /// method to perform the minimization virtual bool Minimize(); /// return minimum function value virtual double MinValue() const { return fMinVal; } /// return pointer to X values at the minimum virtual const double * X() const { return &fValues.front(); } /// number of dimensions virtual unsigned int NDim() const { return fDim; } /// number of free variables (real dimension of the problem) virtual unsigned int NFree() const; /// total number of parameter defined virtual unsigned int NPar() const { return fValues.size(); } /// return pointer to used objective function const ROOT::Math::IMultiGenFunction * ObjFunction() const { return fObjFunc; } /// return pointer to used gradient object function (NULL if gradient is not supported) const ROOT::Math::IMultiGradFunction * GradObjFunction() const; /// return transformation function (NULL if not having a transformation) const ROOT::Math::MinimTransformFunction * TransformFunction() const; /// print result of minimization void PrintResult() const; /// accessor methods virtual const double * StepSizes() const { return &fSteps.front(); } protected: bool CheckDimension() const; bool CheckObjFunction() const; MinimTransformFunction * CreateTransformation(std::vector & startValues, const ROOT::Math::IMultiGradFunction * func = 0); void SetFinalValues(const double * x); void SetMinValue(double val) { fMinVal = val; } private: // dimension of the function to be minimized unsigned int fDim; const ROOT::Math::IMultiGenFunction * fObjFunc; double fMinVal; std::vector fValues; std::vector fSteps; std::vector fNames; std::vector fVarTypes; // vector specifyng the type of variables std::map< unsigned int, std::pair > fBounds; // map specifying the bound using as key the parameter index }; } // end namespace Fit } // end namespace ROOT #endif /* ROOT_Math_BasicMinimizer */