lemon/dist_log.h
author kpeter
Fri, 29 Feb 2008 15:55:13 +0000
changeset 2586 37fb2c384c78
parent 2391 14a343be7a5a
permissions -rw-r--r--
Reimplemented Suurballe class.

- The new version is the specialized version of CapacityScaling.
- It is about 10-20 times faster than the former Suurballe algorithm
and about 20-50 percent faster than CapacityScaling.
- Doc improvements.
- The test file is also replaced.
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/* -*- C++ -*-
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 *
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 * This file is a part of LEMON, a generic C++ optimization library
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 *
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 * Copyright (C) 2003-2008
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 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
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 * (Egervary Research Group on Combinatorial Optimization, EGRES).
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 *
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 * Permission to use, modify and distribute this software is granted
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 * provided that this copyright notice appears in all copies. For
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 * precise terms see the accompanying LICENSE file.
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 *
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 * This software is provided "AS IS" with no warranty of any kind,
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 * express or implied, and with no claim as to its suitability for any
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 * purpose.
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 *
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 */
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#ifndef LEMON_RANDOM_H
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#define LEMON_RANDOM_H
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#include<iostream>
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#include<fstream>
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#include<string>
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#include <lemon/dim2.h>
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///\ingroup misc
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///\file
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///\brief Measure a Distribution
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///
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///\todo Needs lot more docs
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///
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namespace lemon {
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  ///Measure a distribution
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  class DistLog
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  {
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    std::vector<int> _dist;
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    double _lo,_up;
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    int _count;
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    bool _cut;
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  public:
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    ///\e
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    Dist(double lo,double up,int gr,bool cut=true) 
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      : _dist(gr,0),_lo(lo),_up(up),_count(0),_cut(cut) {}
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    ///\e
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    void operator()(double v)
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    {
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      if(_cut) {
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	if(_lo<=v && v<_up)
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	  _dist[int((v-_lo)/(_up-_lo)*_dist.size())]++;
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      }
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      else {
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	_dist[std::max(0,std::min(int(_dist.size())-1,
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				  int((v-_lo)/(_up-_lo)*_dist.size())
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				  ))]++;
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      }
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      _count++;
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    }
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    ///\e
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    void dump(std::ostream& os=std::cout)
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    {
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      for(int i=0;i<_dist.size();i++)
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	os << _lo+(i+0.5)*(_up-_lo)/_dist.size() << ' '
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	   << double(_dist[i])/_count << std::endl;
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    }
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    ///\e
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    void dump(const std::string& file_name)
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    {
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      dump(std::ofstream(file_name.c_str()));
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    }
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  };
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  ///Measure a two dimensional distribution
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  class DistLog2
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  {
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  public:
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    typedef dim2::Point<double> Point;
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  private:
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    std::vector<int> _dist;
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    int _gr;
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    Point _lo,_up;
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    int _count;
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    bool _cut;
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  public:  
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    ///\e
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    Dist2(Point a,Point b,int gr,bool cut=true) :
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      _dist(gr*gr,0),_gr(gr),
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      _lo(a),_up(b),_count(0),_cut(cut) {}
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    ///\e
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    Dist2(double lox,double upx,double loy,double upy,int gr,bool cut=true) :
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      _dist(gr*gr,0),_gr(gr),
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      _lo(Point(lox,loy)),_up(Point(upx,upy)),_count(0),_cut(cut) {}
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    ///\e
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    void operator()(Point v)
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    {
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      if(_cut)
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	{
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	  if(v.x>=_lo.x && v.x<_up.x && v.y>=_lo.y && v.y<_up.y)
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	    _dist[int((v.x-_lo.x)/(_up.x-_lo.x)*_gr)*_gr+
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		  int((v.y-_lo.y)/(_up.y-_lo.y)*_gr)]++;
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	}
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      else {
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	_dist[std::max(0,std::min(_gr-1,
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				  int((v.x-_lo.x)/(_up.x-_lo.x)*_gr)
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				  ))*_gr+
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	      std::max(0,std::min(_gr-1,
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				  int((v.y-_lo.y)/(_up.y-_lo.y)*_gr)
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				  ))
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	      ]++;
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      }
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      _count++;
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    }
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    ///\e
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    void dump(std::ostream& os=std::cout)
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    {
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      for(int i=0;i<_gr;i++)
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	{
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	  for(int j=0;j<_gr;j++)
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	    os << _lo.x+(i+0.5)*(_up.x-_lo.x)/_gr << ' '
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	       << _lo.y+(j+0.5)*(_up.y-_lo.y)/_gr << ' '
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	       << double(_dist[i*_gr+j])/_count << std::endl;
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	  os << std::endl;
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	}
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    }
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    ///\e
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    void dump(const std::string& file_name)
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    {
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      dump(std::ofstream(file_name.c_str()));
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    }
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  };
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}
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#endif