* Project: RooFit                                                           *
 *                                                                           *
 * Copyright (c) 2000-2005, Regents of the University of California          *
 *                          and Stanford University. All rights reserved.    *
 *                                                                           *
 * Redistribution and use in source and binary forms,                        *
 * with or without modification, are permitted according to the terms        *
 * listed in LICENSE (http://roofit.sourceforge.net/license.txt)             *


#include "RooAbsReal.h"
#include "RooRealProxy.h"
#include "RooSetProxy.h"
#include <map>
#include <string>

class RooMinimizer ;
class RooMinuit ; 

#define MINIMIZER RooMinimizer

class RooProfileLL : public RooAbsReal {

  RooProfileLL() ;
  RooProfileLL(const char *name, const char *title, RooAbsReal& nll, const RooArgSet& observables);
  RooProfileLL(const RooProfileLL& other, const char* name=0) ;
  virtual TObject* clone(const char* newname) const { return new RooProfileLL(*this,newname); }
  virtual ~RooProfileLL() ;

  void setAlwaysStartFromMin(Bool_t flag) { _startFromMin = flag ; }
  Bool_t alwaysStartFromMin() const { return _startFromMin ; }

  MINIMIZER* minimizer() { return _minimizer ; }
  RooAbsReal& nll() { return const_cast<RooAbsReal&>(_nll.arg()) ; }
  const RooArgSet& bestFitParams() const ;
  const RooArgSet& bestFitObs() const ;

  virtual RooAbsReal* createProfile(const RooArgSet& paramsOfInterest) ;
  virtual Bool_t redirectServersHook(const RooAbsCollection& /*newServerList*/, Bool_t /*mustReplaceAll*/, Bool_t /*nameChange*/, Bool_t /*isRecursive*/) ;

  void clearAbsMin() { _absMinValid = kFALSE ; }

  Int_t numEval() const { return _neval ; }


  void validateAbsMin() const ;
  void initializeMinimizer() const ;

  RooRealProxy _nll ;    // Input -log(L) function
  RooSetProxy _obs ;     // Parameters of profile likelihood
  RooSetProxy _par ;     // Marginialized parameters of likelihood
  Bool_t _startFromMin ; // Always start minimization for global minimum?

  TIterator* _piter ; //! Iterator over profile likelihood parameters to be minimized 
  TIterator* _oiter ; //! Iterator of profile likelihood output parameter(s)

  mutable MINIMIZER* _minimizer ; //! Internal minuit instance

  mutable Bool_t _absMinValid ; // flag if absmin is up-to-date
  mutable Double_t _absMin ; // absolute minimum of -log(L)
  mutable RooArgSet _paramAbsMin ; // Parameter values at absolute minimum
  mutable RooArgSet _obsAbsMin ; // Observable values at absolute minimum
  mutable std::map<std::string,bool> _paramFixed ; // Parameter constant status at last time of use
  mutable Int_t _neval ; // Number evaluations used in last minimization
  Double_t evaluate() const ;


  ClassDef(RooProfileLL,0) // Real-valued function representing profile likelihood of external (likelihood) function