library: libRooFit
#include "RooMCIntegrator.h"

RooMCIntegrator


class description - header file - source file - inheritance tree (.pdf)

class RooMCIntegrator : public RooAbsIntegrator

Inheritance Chart:
TObject
<-
RooAbsIntegrator
<-
RooMCIntegrator

    protected:
static void registerIntegrator(RooNumIntFactory& fact) public:
RooMCIntegrator() RooMCIntegrator(const RooAbsFunc& function, RooMCIntegrator::SamplingMode mode = Importance, RooMCIntegrator::GeneratorType genType = QuasiRandom, Bool_t verbose = kFALSE) RooMCIntegrator(const RooAbsFunc& function, const RooNumIntConfig& config) RooMCIntegrator(const RooMCIntegrator&) virtual ~RooMCIntegrator() virtual Bool_t canIntegrate1D() const virtual Bool_t canIntegrate2D() const virtual Bool_t canIntegrateND() const virtual Bool_t canIntegrateOpenEnded() const virtual Bool_t checkLimits() const static TClass* Class() virtual RooAbsIntegrator* clone(const RooAbsFunc& function, const RooNumIntConfig& config) const Double_t getAlpha() const RooMCIntegrator::GeneratorType getGenType() const const RooGrid& grid() const virtual Double_t integral(const Double_t* yvec = 0) virtual TClass* IsA() const void setAlpha(Double_t alpha) void setGenType(RooMCIntegrator::GeneratorType type) virtual void ShowMembers(TMemberInspector& insp, char* parent) virtual void Streamer(TBuffer& b) void StreamerNVirtual(TBuffer& b) Double_t vegas(RooMCIntegrator::Stage stage, UInt_t calls, UInt_t iterations, Double_t* absError = 0)

Data Members


    protected:
RooGrid _grid Bool_t _verbose Double_t _alpha Int_t _mode RooMCIntegrator::GeneratorType _genType Int_t _nRefineIter Int_t _nRefinePerDim Int_t _nIntegratePerDim TStopwatch _timer Double_t _jac Double_t _wtd_int_sum Double_t _sum_wgts Double_t _chi_sum Double_t _chisq Double_t _result Double_t _sigma UInt_t _it_start UInt_t _it_num UInt_t _samples UInt_t _calls_per_box public:
static const RooMCIntegrator::SamplingMode Importance static const RooMCIntegrator::SamplingMode ImportanceOnly static const RooMCIntegrator::SamplingMode Stratified static const RooMCIntegrator::GeneratorType QuasiRandom static const RooMCIntegrator::GeneratorType PseudoRandom static const RooMCIntegrator::Stage AllStages static const RooMCIntegrator::Stage ReuseGrid static const RooMCIntegrator::Stage RefineGrid

Class Description

void registerIntegrator(RooNumIntFactory& fact)
 Construct default configuration
RooMCIntegrator()
 Dummy default ctor
RooMCIntegrator(const RooAbsFunc& function, SamplingMode mode, GeneratorType genType, Bool_t verbose)
 check that our grid initialized without errors
RooMCIntegrator(const RooAbsFunc& function, const RooNumIntConfig& config)
RooAbsIntegrator* clone(const RooAbsFunc& function, const RooNumIntConfig& config)
~RooMCIntegrator()
Bool_t checkLimits()
 Check if we can integrate over the current domain.
Double_t vegas(Stage stage, UInt_t calls, UInt_t iterations, Double_t *absError)
 Perform one step of Monte Carlo integration using the specified number of iterations
 with (approximately) the specified number of integrand evaluation calls per iteration.
 Use the VEGAS algorithm, starting from the specified stage. Returns the best estimate
 of the integral. Also sets *absError to the estimated absolute error of the integral
 estimate if absError is non-zero.
RooMCIntegrator()
Double_t integral(const Double_t* yvec=0)
Double_t getAlpha()
void setAlpha(Double_t alpha)
GeneratorType getGenType()
void setGenType(GeneratorType type)
Bool_t canIntegrate1D()
Bool_t canIntegrate2D()
Bool_t canIntegrateND()
Bool_t canIntegrateOpenEnded()

Last update: Tue Jul 11 11:45:55 2006
Copyright (c) 2000-2005, Regents of the University of California *


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