29#ifndef ROOT_Math_GSLMCIntegrator
30#define ROOT_Math_GSLMCIntegrator
50 class GSLMCIntegrationWorkspace;
51 class GSLMonteFunctionWrapper;
52 class GSLRandomEngine;
162 double Integral(
const double*
a,
const double*
b)
override;
178 double Result()
const override;
183 double Error()
const override;
188 int Status()
const override;
290 std::unique_ptr<ROOT::Math::IOptions>
ExtraOptions()
const;
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Option_t Option_t TPoint TPoint const char mode
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void SetExtraOptions(const ROOT::Math::IOptions &opt)
Set the extra options for Vegas and Miser.
double Result() const override
return the type of the integration used
GSLMonteFunctionWrapper * fFunction
ROOT::Math::IntegratorMultiDimOptions Options() const override
get the option used for the integration
double Integral(const GSLMonteFuncPointer &f, unsigned int dim, double *a, double *b, void *p=nullptr)
evaluate the Integral of a function f over the defined hypercube (a,b)
const char * GetTypeName() const
return the name
GSLMCIntegrator & operator=(const GSLMCIntegrator &)
int NEval() const override
return number of function evaluations in calculating the integral (This is an fixed by the user)
void SetFunction(const IMultiGenFunction &f) override
method to set the a generic integration function
~GSLMCIntegrator() override
destructor
double(* GSLMonteFuncPointer)(double *, size_t, void *)
void SetRelTolerance(double relTolerance) override
set the desired relative Error
void SetOptions(const ROOT::Math::IntegratorMultiDimOptions &opt) override
set the integration options
void SetParameters(const VegasParameters &p)
set default parameters for VEGAS method
void SetGenerator(GSLRandomEngine &r)
set random number generator
void SetAbsTolerance(double absTolerance) override
set the desired absolute Error
GSLMCIntegrationWorkspace * fWorkspace
void SetMode(MCIntegration::Mode mode)
set integration mode for VEGAS method The possible MODE are : MCIntegration::kIMPORTANCE (default) : ...
void SetTypeName(const char *typeName)
set integration method using a name instead of an enumeration
double Sigma()
set parameters for PLAIN method
MCIntegration::Type GetType() const
return the type (need to be called GetType to avoid a conflict with typedef)
double ChiSqr()
returns chi-squared per degree of freedom for the estimate of the integral in the Vegas algorithm
double Error() const override
return the estimate of the absolute Error of the last Integral calculation
int Status() const override
return the Error Status of the last Integral calculation
void SetType(MCIntegration::Type type)
set integration method
std::unique_ptr< ROOT::Math::IOptions > ExtraOptions() const
get the specific options (for Vegas or Miser) in term of string- name.
MCIntegration::Type fType
wrapper to a multi-dim function withtout derivatives for Monte Carlo multi-dimensional integration al...
GSLRandomEngine Base class for all GSL random engines, normally user instantiate the derived classes ...
GSLRngWrapper class to wrap gsl_rng structure.
Documentation for the abstract class IBaseFunctionMultiDim.
Generic interface for defining configuration options of a numerical algorithm.
Numerical multi dimensional integration options.
Interface (abstract) class for multi numerical integration It must be implemented by the concrete Int...
Type
enumeration specifying the integration types.
Namespace for new Math classes and functions.
This file contains a specialised ROOT message handler to test for diagnostic in unit tests.
Structure collecting parameters for MISER multidimensional integration.
Structures collecting parameters for VEGAS multidimensional integration For implementation of default...