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RooAcceptReject.h
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1 /*****************************************************************************
2  * Project: RooFit *
3  * Package: RooFitCore *
4  * File: $Id: RooAcceptReject.h,v 1.16 2007/05/11 09:11:30 verkerke Exp $
5  * Authors: *
6  * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu *
7  * DK, David Kirkby, UC Irvine, dkirkby@uci.edu *
8  * *
9  * Copyright (c) 2000-2005, Regents of the University of California *
10  * and Stanford University. All rights reserved. *
11  * *
12  * Redistribution and use in source and binary forms, *
13  * with or without modification, are permitted according to the terms *
14  * listed in LICENSE (http://roofit.sourceforge.net/license.txt) *
15  *****************************************************************************/
16 #ifndef ROO_ACCEPT_REJECT
17 #define ROO_ACCEPT_REJECT
18 
19 #include "RooAbsNumGenerator.h"
20 #include "RooPrintable.h"
21 #include "RooArgSet.h"
22 
23 class RooAbsReal;
24 class RooRealVar;
25 class RooDataSet;
26 class RooRealBinding;
27 class RooNumGenFactory ;
28 
30 public:
32  // coverity[UNINIT_CTOR]
33  } ;
34  RooAcceptReject(const RooAbsReal &func, const RooArgSet &genVars, const RooNumGenConfig& config, Bool_t verbose=kFALSE, const RooAbsReal* maxFuncVal=0);
35  RooAbsNumGenerator* clone(const RooAbsReal& func, const RooArgSet& genVars, const RooArgSet& /*condVars*/,
36  const RooNumGenConfig& config, Bool_t verbose=kFALSE, const RooAbsReal* maxFuncVal=0) const {
37  return new RooAcceptReject(func,genVars,config,verbose,maxFuncVal) ;
38  }
39  virtual ~RooAcceptReject();
40 
41  const RooArgSet *generateEvent(UInt_t remaining, Double_t& resampleRatio);
43 
44 
45  // Advertisement of capabilities
46  virtual Bool_t canSampleConditional() const { return kTRUE ; }
47  virtual Bool_t canSampleCategories() const { return kTRUE ; }
48 
49 
50 protected:
51 
52  friend class RooNumGenFactory ;
53  static void registerSampler(RooNumGenFactory& fact) ;
54 
55  void addEventToCache();
57 
58  Double_t _maxFuncVal, _funcSum; // Maximum function value found, and sum of all samples made
59  UInt_t _realSampleDim,_catSampleMult;// Number of real and discrete dimensions to be samplesd
60  UInt_t _minTrials; // Minimum number of max.finding trials, total number of samples
61  UInt_t _totalEvents; // Total number of function samples
62  UInt_t _eventsUsed; // Accepted number of function samples
63  TIterator *_nextCatVar; // Iterator of categories to be generated
64  TIterator *_nextRealVar; // Iterator over variables to be generated
65 
66  UInt_t _minTrialsArray[4]; // Minimum number of trials samples for 1,2,3 dimensional problems
67 
68  ClassDef(RooAcceptReject,0) // Context for generating a dataset from a PDF
69 };
70 
71 #endif
virtual ~RooAcceptReject()
Destructor.
const RooArgSet * nextAcceptedEvent()
Scan through events in the cache which have not been used yet, looking for the first accepted one whi...
bool Bool_t
Definition: RtypesCore.h:59
const Bool_t kFALSE
Definition: Rtypes.h:92
void addEventToCache()
Add a trial event to our cache and update our estimates of the function maximum value and integral...
Iterator abstract base class.
Definition: TIterator.h:32
RooAbsNumGenerator * clone(const RooAbsReal &func, const RooArgSet &genVars, const RooArgSet &, const RooNumGenConfig &config, Bool_t verbose=kFALSE, const RooAbsReal *maxFuncVal=0) const
virtual Bool_t canSampleCategories() const
Double_t _maxFuncVal
#define ClassDef(name, id)
Definition: Rtypes.h:254
virtual Bool_t canSampleConditional() const
RooRealVar represents a fundamental (non-derived) real valued object.
Definition: RooRealVar.h:37
const RooArgSet * generateEvent(UInt_t remaining, Double_t &resampleRatio)
Return a pointer to a generated event.
Class RooAcceptReject is a generic toy monte carlo generator implement the accept/reject sampling tec...
unsigned int UInt_t
Definition: RtypesCore.h:42
bool verbose
Class RooAbsNumGenerator is the abstract base class for MC event generator implementations like RooAc...
RooDataSet is a container class to hold unbinned data.
Definition: RooDataSet.h:29
UInt_t _minTrialsArray[4]
double Double_t
Definition: RtypesCore.h:55
RooAbsReal is the common abstract base class for objects that represent a real value and implements f...
Definition: RooAbsReal.h:53
double func(double *x, double *p)
Definition: stressTF1.cxx:213
TIterator * _nextRealVar
TIterator * _nextCatVar
RooNumGenConfig holds the configuration parameters of the various numeric integrators used by RooReal...
static void registerSampler(RooNumGenFactory &fact)
Register RooIntegrator1D, is parameters and capabilities with RooNumIntFactory.
RooNumGenFactory is a factory to instantiate numeric integrators from a given function binding and a ...
Lightweight interface adaptor that binds a RooAbsReal object to a subset of its servers and present i...
const Bool_t kTRUE
Definition: Rtypes.h:91