28 #ifndef ROOT_Math_GSLMinimizer 29 #define ROOT_Math_GSLMinimizer 117 if (
this == &rhs)
return *
this;
134 virtual double Edm()
const {
return 0; }
141 virtual unsigned int NCalls()
const;
156 virtual double CovMatrix(
unsigned int ,
unsigned int )
const {
return 0; }
Interface (abstract class) for multi-dimensional functions providing a gradient calculation.
ROOT::Math::GSLMultiMinimizer * fGSLMultiMin
Namespace for new ROOT classes and functions.
virtual bool ProvidesError() const
minimizer provides error and error matrix
EGSLMinimizerType
enumeration specifying the types of GSL minimizers
virtual double Edm() const
return expected distance reached from the minimum
Base Minimizer class, which defines the basic funcionality of various minimizer implementations (apar...
virtual bool Minimize()
method to perform the minimization
GSLMinimizer(const GSLMinimizer &)
Copy constructor.
virtual void SetFunction(const ROOT::Math::IMultiGenFunction &func)
set the function to minimize
GSLMinimizer(ROOT::Math::EGSLMinimizerType type=ROOT::Math::kConjugateFR)
Default constructor.
Documentation for the abstract class IBaseFunctionMultiDim.
virtual ~GSLMinimizer()
Destructor.
virtual void SetFunction(const ROOT::Math::IMultiGenFunction &func)
set the function to minimize
virtual unsigned int NCalls() const
number of function calls to reach the minimum
double func(double *x, double *p)
GSLMultiMinimizer class , for minimizing multi-dimensional function using derivatives.
GSLMinimizer & operator=(const GSLMinimizer &rhs)
Assignment operator.
Namespace for new Math classes and functions.
virtual const double * Errors() const
return errors at the minimum
virtual double CovMatrix(unsigned int, unsigned int) const
return covariance matrices elements if the variable is fixed the matrix is zero The ordering of the v...
virtual const double * MinGradient() const
return pointer to gradient values at the minimum
virtual void SetFunction(const ROOT::Math::IMultiGradFunction &func)
set the function to minimize