/afs/cern.ch/work/a/aaltunda/public/www/CMSSW_5_3_13_patch3/src/HiggsAnalysis/CombinedLimit/interface/CascadeMinimizer.h

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#ifndef HiggsAnalysis_CombinedLimit_CascadeMinimizer_h
#define HiggsAnalysis_CombinedLimit_CascadeMinimizer_h

class RooAbsReal;
class RooArgSet;
class RooRealVar;
#include <RooArgSet.h>
#include "../interface/RooMinimizerOpt.h"
#include <boost/program_options.hpp>

class CascadeMinimizer {
    public:
        enum Mode { Constrained, Unconstrained };
        CascadeMinimizer(RooAbsReal &nll, Mode mode, RooRealVar *poi=0, int initialStrategy=0) ;
        // do a new minimization, assuming the initial state is random
        bool minimize(int verbose=0, bool cascade=true);
        // do a new minimization, assuming a plausible initial state
        bool improve(int verbose=0, bool cascade=true);
        RooMinimizerOpt & minimizer() { return minimizer_; }
        RooFitResult *save() { return minimizer().save(); }
        void  setStrategy(int strategy) { strategy_ = strategy; }
        void  setErrorLevel(float errorLevel) { minimizer_.setErrorLevel(errorLevel); }
        static void  initOptions() ;
        static void  applyOptions(const boost::program_options::variables_map &vm) ;
        static const boost::program_options::options_description & options() { return options_; }
        void trivialMinimize(const RooAbsReal &nll, RooRealVar &r, int points=100) const ;
    private:
        RooAbsReal & nll_;
        RooMinimizerOpt minimizer_;
        Mode         mode_;
        int          strategy_;
        RooRealVar * poi_; 

        bool improveOnce(int verbose);
        
        static boost::program_options::options_description options_;
        struct Algo { 
            Algo() : algo(), tolerance(), strategy(-1) {}
            Algo(const std::string &str, float tol=-1.f, int strategy=-1) : algo(str), tolerance(tol), strategy(-1) {}
            std::string algo; float tolerance; int strategy;
            static float default_tolerance() { return -1.f; }
            static int   default_strategy() { return -1; }
        };
        static std::vector<Algo> fallbacks_;
        static bool preScan_;
        static bool poiOnlyFit_;
        static bool singleNuisFit_;
        static bool setZeroPoint_;
        static bool oldFallback_;

        //static void setDefaultIntegrator(RooCategory &cat, const std::string & val) ;
};

#endif