Discrete.h

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// ----------------------------------------------------------------------------
//
// $Id$
//
// Copyright 2008, 2009, 2010, 2011, 2012  Antonio Franchi and Paolo Stegagno    
//
// This file is part of MIP.
//
// MIP is free software: you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// MIP is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with MIP. If not, see <http://www.gnu.org/licenses/>.
//
// Contact info: antonio.franchi@tuebingen.mpg.de stegagno@diag.uniroma1.it
//
// ----------------------------------------------------------------------------


#ifndef __DISCRETE_H
#define __DISCRETE_H

#include "PDF.h"

using namespace MipBaselib;

namespace MipBaselib{
 
 /* @{ */
 
 
 
 struct ProbabilityMass{
  public:
   
   int x;
   Decimal p;
   
   ProbabilityMass();
   
   ProbabilityMass(int y, Decimal q);
   
   ProbabilityMass(const ProbabilityMass &pm);
   
   void operator=(const ProbabilityMass &pm);
   
   string print();
 };
 
 
 
 
 
 
 class Discrete:public PDF, public vector<ProbabilityMass>{
  protected:
   
   
  public:
   
   Discrete();
   
   Discrete(DCol &x, DCol &p);
   
   Discrete(const Discrete &g);
   
   void operator=(const Discrete &g);
   
   DCol expectedValue();
   
   Decimal covariance(int row, int col);
   
   Decimal covariance();
   
   Decimal evaluate(DCol p);
   
   void printCovInv();
   
   virtual string print();
   
   bool findValue(int v, Decimal &pr);
   
   void addValue(int v, Decimal pr);
   
   void addValue(ProbabilityMass a);
   
   void normalize();
 };
 
 /* @} */
}


#endif