// @(#)root/minuit2:$Id: FumiliStandardMaximumLikelihoodFCN.h 20880 2007-11-19 11:23:41Z rdm $
// Authors: M. Winkler, F. James, L. Moneta, A. Zsenei   2003-2005  

/**********************************************************************
 *                                                                    *
 * Copyright (c) 2005 LCG ROOT Math team,  CERN/PH-SFT                *
 *                                                                    *
 **********************************************************************/

#ifndef ROOT_Minuit2_FumiliStandardMaximumLikelihoodFCN
#define ROOT_Minuit2_FumiliStandardMaximumLikelihoodFCN


#include "Minuit2/FumiliMaximumLikelihoodFCN.h"
#include "Minuit2/ParametricFunction.h"
#include <vector>

namespace ROOT {

   namespace Minuit2 {




/**

Class implementing the Elements member function for the standard 
maximum likelihood method.

@author Andras Zsenei and Lorenzo Moneta, Creation date: 4 Sep 2004

@see FumiliMaximumLikelihoodFCN

@ingroup Minuit

*/

class FumiliStandardMaximumLikelihoodFCN : public FumiliMaximumLikelihoodFCN {

public:


  /**
     
  Constructor which initializes the measurement points for the one dimensional model function.
  
  @param modelFCN the model function used for describing the data.

  @param pos vector containing the x values corresponding to the
  measurements

  */

  FumiliStandardMaximumLikelihoodFCN(const ParametricFunction& modelFCN, 
				     const std::vector<double>& pos) : 
    fErrorDef(0.5) 
  {
    this->SetModelFunction(modelFCN); 
    unsigned int n = pos.size(); 
    fPositions.reserve( n );
    std::vector<double> x(1);
    for (unsigned int i = 0; i < n; ++i) { 
      x[0] = pos[i];
      fPositions.push_back(x);  
    }
  }



  /**
     
  Constructor which initializes the measurement points for the multi dimensional model function.
  
  @param modelFCN the model function used for describing the data.

  @param pos vector containing the x values corresponding to the
  measurements

  */

  FumiliStandardMaximumLikelihoodFCN(const ParametricFunction& modelFCN, 
				     const std::vector<std::vector<double> >& pos) : 
    fErrorDef(0.5) {
    this->SetModelFunction(modelFCN); 
    fPositions = pos;

  }




  ~FumiliStandardMaximumLikelihoodFCN() {}




  /**

  Evaluates the model function for the different measurement points and 
  the Parameter values supplied.

  @param par vector of Parameter values to feed to the model function.

  @return A vector containing the model function evaluated 
  for each measurement point.  

  */

  std::vector<double> Elements(const std::vector<double>& par) const;




  /**

  Accessor to the position of the measurement (x coordinate).

  @param Index Index of the measuerement the position of which to return.

  @return the position of the measurement.

  */

  virtual const std::vector<double> & GetMeasurement(int Index) const;


  /**

  Accessor to the number of measurements used for calculating 
  the maximum likelihood.

  @return the number of measurements.

  */

  virtual int GetNumberOfMeasurements() const;

  /**
  
  Evaluate function Value, Gradient and Hessian using Fumili approximation, for values of parameters p
  The resul is cached inside and is return from the FumiliFCNBase::Value ,  FumiliFCNBase::Gradient and 
  FumiliFCNBase::Hessian methods 

  @param par vector of parameters

  **/

  virtual  void EvaluateAll( const std::vector<double> & par );


 private:

  std::vector<std::vector<double> > fPositions;
  double fErrorDef;
  
    

};

  }  // namespace Minuit2

}  // namespace ROOT

#endif  // ROOT_Minuit2_FumiliStandardMaximumLikelihoodFCN
