Blame view

3rdparty/boost_1_81_0/libs/graph/example/edmonds-karp-eg.cpp 2.8 KB
977ed18d   Hu Chunming   提交三方库
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
  //=======================================================================
  // Copyright 2001 Jeremy G. Siek, Andrew Lumsdaine, Lie-Quan Lee,
  //
  // Distributed under the Boost Software License, Version 1.0. (See
  // accompanying file LICENSE_1_0.txt or copy at
  // http://www.boost.org/LICENSE_1_0.txt)
  //=======================================================================
  
  #ifdef _MSC_VER
  #define _CRT_SECURE_NO_WARNINGS
  #endif
  
  #include <boost/config.hpp>
  #include <iostream>
  #include <string>
  #include <boost/graph/edmonds_karp_max_flow.hpp>
  #include <boost/graph/adjacency_list.hpp>
  #include <boost/graph/read_dimacs.hpp>
  #include <boost/graph/graph_utility.hpp>
  
  // Use a DIMACS network flow file as stdin.
  // edmonds-karp-eg < max_flow.dat
  //
  // Sample output:
  //  c  The total flow:
  //  s 13
  //
  //  c flow values:
  //  f 0 6 3
  //  f 0 1 6
  //  f 0 2 4
  //  f 1 5 1
  //  f 1 0 0
  //  f 1 3 5
  //  f 2 4 4
  //  f 2 3 0
  //  f 2 0 0
  //  f 3 7 5
  //  f 3 2 0
  //  f 3 1 0
  //  f 4 5 4
  //  f 4 6 0
  //  f 5 4 0
  //  f 5 7 5
  //  f 6 7 3
  //  f 6 4 0
  //  f 7 6 0
  //  f 7 5 0
  
  int main()
  {
      using namespace boost;
  
      typedef adjacency_list_traits< vecS, vecS, directedS > Traits;
      typedef adjacency_list< listS, vecS, directedS,
          property< vertex_name_t, std::string >,
          property< edge_capacity_t, long,
              property< edge_residual_capacity_t, long,
                  property< edge_reverse_t, Traits::edge_descriptor > > > >
          Graph;
  
      Graph g;
  
      property_map< Graph, edge_capacity_t >::type capacity
          = get(edge_capacity, g);
      property_map< Graph, edge_reverse_t >::type rev = get(edge_reverse, g);
      property_map< Graph, edge_residual_capacity_t >::type residual_capacity
          = get(edge_residual_capacity, g);
  
      Traits::vertex_descriptor s, t;
      read_dimacs_max_flow(g, capacity, rev, s, t);
  
  #if defined(BOOST_MSVC) && BOOST_MSVC <= 1300
      std::vector< default_color_type > color(num_vertices(g));
      std::vector< Traits::edge_descriptor > pred(num_vertices(g));
      long flow = edmonds_karp_max_flow(
          g, s, t, capacity, residual_capacity, rev, &color[0], &pred[0]);
  #else
      long flow = edmonds_karp_max_flow(g, s, t);
  #endif
  
      std::cout << "c  The total flow:" << std::endl;
      std::cout << "s " << flow << std::endl << std::endl;
  
      std::cout << "c flow values:" << std::endl;
      graph_traits< Graph >::vertex_iterator u_iter, u_end;
      graph_traits< Graph >::out_edge_iterator ei, e_end;
      for (boost::tie(u_iter, u_end) = vertices(g); u_iter != u_end; ++u_iter)
          for (boost::tie(ei, e_end) = out_edges(*u_iter, g); ei != e_end; ++ei)
              if (capacity[*ei] > 0)
                  std::cout << "f " << *u_iter << " " << target(*ei, g) << " "
                            << (capacity[*ei] - residual_capacity[*ei])
                            << std::endl;
  
      return EXIT_SUCCESS;
  }