demo/kruskal_demo.cc
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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///\ingroup demos
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///\file
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///\brief Minimum weight spanning tree by Kruskal algorithm (demo).
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///
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/// This demo program shows how to find a minimum weight spanning tree
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/// in a graph by using the Kruskal algorithm. 
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///
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/// \include kruskal_demo.cc
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#include <iostream>
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#include <vector>
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#include <lemon/maps.h>
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#include <lemon/kruskal.h>
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#include <lemon/list_graph.h>
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using namespace std;
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using namespace lemon;
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int main() {
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  typedef ListGraph::Node Node;
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  typedef ListGraph::Edge Edge;
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  typedef ListGraph::NodeIt NodeIt;
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  typedef ListGraph::EdgeIt EdgeIt;
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  ListGraph g;
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  //Make an example graph g.
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  Node s=g.addNode();
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  Node v1=g.addNode();
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  Node v2=g.addNode();
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  Node v3=g.addNode();
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  Node v4=g.addNode();
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  Node t=g.addNode();
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  Edge e1 = g.addEdge(s, v1);
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  Edge e2 = g.addEdge(s, v2);
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  Edge e3 = g.addEdge(v1, v2);
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  Edge e4 = g.addEdge(v2, v1);
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  Edge e5 = g.addEdge(v1, v3);
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  Edge e6 = g.addEdge(v3, v2);
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  Edge e7 = g.addEdge(v2, v4);
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  Edge e8 = g.addEdge(v4, v3);
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  Edge e9 = g.addEdge(v3, t);
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  Edge e10 = g.addEdge(v4, t);
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  //Make the input for the kruskal.
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  typedef ListGraph::EdgeMap<int> ECostMap;
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  ECostMap edge_cost_map(g);
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  // Fill the edge_cost_map. 
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  edge_cost_map.set(e1, -10);
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  edge_cost_map.set(e2, -9);
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  edge_cost_map.set(e3, -8);
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  edge_cost_map.set(e4, -7);
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  edge_cost_map.set(e5, -6);
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  edge_cost_map.set(e6, -5);
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  edge_cost_map.set(e7, -4);
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  edge_cost_map.set(e8, -3);
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  edge_cost_map.set(e9, -2);
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  edge_cost_map.set(e10, -1);
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  // Make the map or the vector, which will contain the edges of the minimum
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  // spanning tree.
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  typedef ListGraph::EdgeMap<bool> EBoolMap;
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  EBoolMap tree_map(g);
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  vector<Edge> tree_edge_vec;
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  //Kruskal Algorithm.  
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  //Input: a graph (g); a costmap of the graph (edge_cost_map); a
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  //boolmap (tree_map) or a vector (tree_edge_vec) to store the edges
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  //of the output tree;
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  //Output: it gives back the value of the minimum spanning tree, and
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  //set true for the edges of the tree in the edgemap tree_map or
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  //store the edges of the tree in the vector tree_edge_vec;
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  // Kruskal with boolmap;
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  std::cout << "The weight of the minimum spanning tree is " << 
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    kruskal(g, edge_cost_map, tree_map)<<std::endl;
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  int k=0;
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  std::cout << "The edges of the tree:" ;
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  for(EdgeIt i(g); i!=INVALID; ++i)
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    if (tree_map[i]) { 
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      std::cout << g.id(i) <<";";
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      ++k;
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    }
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  std::cout << std::endl;
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  std::cout << "The size of the tree is: "<< k << std::endl;
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  // Kruskal with vector;
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  std::cout << "The weight of the minimum spanning tree again is " << 
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    kruskal(g, edge_cost_map, std::back_inserter(tree_edge_vec)) <<std::endl;
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  std::cout << "The edges of the tree again: " ;
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  for(int i=tree_edge_vec.size()-1; i>=0;  i--)
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    std::cout << g.id(tree_edge_vec[i]) << ";" ;
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  std::cout << std::endl;
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  std::cout << "The size of the tree again is: "<< tree_edge_vec.size()
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	    << std::endl; 
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  return 0;
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}