demo/topological_ordering.cc
author kpeter
Thu, 13 Nov 2008 15:29:04 +0000
changeset 2629 84354c78b068
parent 2391 14a343be7a5a
permissions -rw-r--r--
Improved constructors for min cost flow classes
Removing the non-zero lower bounds is faster
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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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///\ingroup demos
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///\file
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///\brief Demonstrating the Dfs class with topological ordering
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///
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///\include topological_ordering.cc
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#include <iostream>
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#include <string>
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#include <list>
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#include <lemon/list_graph.h>
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#include <lemon/maps.h>
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#include <lemon/dfs.h>
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using namespace lemon;
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template< typename GR >
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class SerializingWriteMap
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{
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public:
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  typedef typename GR::Node  Key;
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  typedef bool  Value;
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  typedef std::list<Key>  OrderedList;
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  OrderedList  order;
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  SerializingWriteMap( const GR& ) {}
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  void  set( const Key& k, const Value& v ) {
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    if( v ) order.push_front(k);
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  }
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  Value  operator[] ( const Key& ) {
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    return false;
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  }
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};
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int main()
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{
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  std::cout << "Topological Ordering demo" << std::endl;
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  // Create and build the graph
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  ListGraph  gr;
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  ListGraph::NodeMap<std::string>  label(gr);
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  typedef ListGraph::Node  Node;
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  // This DAG example for topological ordering is from the book New Algorithms
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  // (Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein)
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  {
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    Node  belt = gr.addNode();
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    Node  trousers = gr.addNode();
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    Node  necktie = gr.addNode();
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    Node  coat = gr.addNode();
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    Node  socks = gr.addNode();
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    Node  shirt = gr.addNode();
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    Node  shoe = gr.addNode();
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    Node  watch = gr.addNode();
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    Node  pants = gr.addNode();
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    label[belt] = "Belt";
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    label[trousers] = "Trousers";
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    label[necktie] = "Necktie";
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    label[coat] = "Coat";
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    label[socks] = "Socks";
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    label[shirt] = "Shirt";
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    label[shoe] = "Shoe";
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    label[watch] = "Watch";
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    label[pants] = "Pants";
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    // Here we use a directed edge to indicate precedenc.
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    // The source must precede the target.
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    gr.addEdge( socks, shoe );
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    gr.addEdge( pants, shoe );
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    gr.addEdge( pants, trousers );
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    gr.addEdge( trousers, shoe );
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    gr.addEdge( trousers, belt );
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    gr.addEdge( belt, coat );
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    gr.addEdge( shirt, belt );
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    gr.addEdge( shirt, necktie );
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    gr.addEdge( necktie, coat );
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  }
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  // Calculate topological order
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  Dfs<ListGraph, Dfs<ListGraph>::DefProcessedMapTraits<SerializingWriteMap<ListGraph> > >  dfs(gr);
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  SerializingWriteMap<ListGraph>  list(gr);
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  dfs.processedMap(list);
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  dfs.run();
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  // Write out the result
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  std::cout << "One possible order to dress up:";
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  for( SerializingWriteMap<ListGraph>::OrderedList::iterator  it = list.order.begin(); it != list.order.end(); ++it )
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    std::cout << "  " << label[*it];
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  std::cout << std::endl;
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  return 0;
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}