ossrv_pub/boost_apis/boost/graph/kruskal_min_spanning_tree.hpp
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     1 //
       
     2 //=======================================================================
       
     3 // Copyright 1997, 1998, 1999, 2000 University of Notre Dame.
       
     4 // Authors: Andrew Lumsdaine, Lie-Quan Lee, Jeremy G. Siek
       
     5 //
       
     6 // Distributed under the Boost Software License, Version 1.0. (See
       
     7 // accompanying file LICENSE_1_0.txt or copy at
       
     8 // http://www.boost.org/LICENSE_1_0.txt)
       
     9 //=======================================================================
       
    10 //
       
    11 #ifndef BOOST_GRAPH_MST_KRUSKAL_HPP
       
    12 #define BOOST_GRAPH_MST_KRUSKAL_HPP
       
    13 
       
    14 /*
       
    15  *Minimum Spanning Tree 
       
    16  *         Kruskal Algorithm
       
    17  *
       
    18  *Requirement:
       
    19  *      undirected graph
       
    20  */
       
    21 
       
    22 #include <vector>
       
    23 #include <queue>
       
    24 #include <functional>
       
    25 
       
    26 #include <boost/property_map.hpp>
       
    27 #include <boost/graph/graph_concepts.hpp>
       
    28 #include <boost/graph/named_function_params.hpp>
       
    29 #include <boost/pending/disjoint_sets.hpp>
       
    30 #include <boost/pending/indirect_cmp.hpp>
       
    31 
       
    32 
       
    33 namespace boost {
       
    34 
       
    35   // Kruskal's algorithm for Minimum Spanning Tree
       
    36   //
       
    37   // This is a greedy algorithm to calculate the Minimum Spanning Tree
       
    38   // for an undirected graph with weighted edges. The output will be a
       
    39   // set of edges.
       
    40   //
       
    41 
       
    42   namespace detail {
       
    43 
       
    44     template <class Graph, class OutputIterator, 
       
    45               class Rank, class Parent, class Weight>
       
    46     void
       
    47     kruskal_mst_impl(const Graph& G, 
       
    48                      OutputIterator spanning_tree_edges, 
       
    49                      Rank rank, Parent parent, Weight weight)
       
    50     {
       
    51       if (num_vertices(G) == 0) return; // Nothing to do in this case
       
    52       typedef typename graph_traits<Graph>::vertex_descriptor Vertex;
       
    53       typedef typename graph_traits<Graph>::edge_descriptor Edge;
       
    54       function_requires<VertexListGraphConcept<Graph> >();
       
    55       function_requires<EdgeListGraphConcept<Graph> >();
       
    56       function_requires<OutputIteratorConcept<OutputIterator, Edge> >();
       
    57       function_requires<ReadWritePropertyMapConcept<Rank, Vertex> >();
       
    58       function_requires<ReadWritePropertyMapConcept<Parent, Vertex> >();
       
    59       function_requires<ReadablePropertyMapConcept<Weight, Edge> >();
       
    60       typedef typename property_traits<Weight>::value_type W_value;
       
    61       typedef typename property_traits<Rank>::value_type R_value;
       
    62       typedef typename property_traits<Parent>::value_type P_value;
       
    63       function_requires<ComparableConcept<W_value> >();
       
    64       function_requires<ConvertibleConcept<P_value, Vertex> >();
       
    65       function_requires<IntegerConcept<R_value> >();
       
    66 
       
    67       disjoint_sets<Rank, Parent>  dset(rank, parent);
       
    68 
       
    69       typename graph_traits<Graph>::vertex_iterator ui, uiend;
       
    70       for (boost::tie(ui, uiend) = vertices(G); ui != uiend; ++ui)
       
    71         dset.make_set(*ui);
       
    72 
       
    73       typedef indirect_cmp<Weight, std::greater<W_value> > weight_greater;
       
    74       weight_greater wl(weight);
       
    75       std::priority_queue<Edge, std::vector<Edge>, weight_greater> Q(wl);
       
    76       /*push all edge into Q*/
       
    77       typename graph_traits<Graph>::edge_iterator ei, eiend;
       
    78       for (boost::tie(ei, eiend) = edges(G); ei != eiend; ++ei) 
       
    79         Q.push(*ei);
       
    80 
       
    81       while (! Q.empty()) {
       
    82         Edge e = Q.top();
       
    83         Q.pop();
       
    84         Vertex u = dset.find_set(source(e, G));
       
    85         Vertex v = dset.find_set(target(e, G));
       
    86         if ( u != v ) {
       
    87           *spanning_tree_edges++ = e;
       
    88           dset.link(u, v);
       
    89         }
       
    90       }
       
    91     }
       
    92 
       
    93   } // namespace detail 
       
    94 
       
    95   // Named Parameters Variants
       
    96 
       
    97   template <class Graph, class OutputIterator>
       
    98   inline void 
       
    99   kruskal_minimum_spanning_tree(const Graph& g,
       
   100                                 OutputIterator spanning_tree_edges)
       
   101   {
       
   102     typedef typename graph_traits<Graph>::vertices_size_type size_type;
       
   103     typedef typename graph_traits<Graph>::vertex_descriptor vertex_t;
       
   104     typedef typename property_map<Graph, vertex_index_t>::type index_map_t;
       
   105     if (num_vertices(g) == 0) return; // Nothing to do in this case
       
   106     typename graph_traits<Graph>::vertices_size_type
       
   107       n = num_vertices(g);
       
   108     std::vector<size_type> rank_map(n);
       
   109     std::vector<vertex_t> pred_map(n);
       
   110 
       
   111     detail::kruskal_mst_impl
       
   112       (g, spanning_tree_edges, 
       
   113        make_iterator_property_map(rank_map.begin(), get(vertex_index, g), rank_map[0]),
       
   114        make_iterator_property_map(pred_map.begin(), get(vertex_index, g), pred_map[0]),
       
   115        get(edge_weight, g));
       
   116   }
       
   117 
       
   118   template <class Graph, class OutputIterator, class P, class T, class R>
       
   119   inline void
       
   120   kruskal_minimum_spanning_tree(const Graph& g,
       
   121                                 OutputIterator spanning_tree_edges, 
       
   122                                 const bgl_named_params<P, T, R>& params)
       
   123   {
       
   124     typedef typename graph_traits<Graph>::vertices_size_type size_type;
       
   125     typedef typename graph_traits<Graph>::vertex_descriptor vertex_t;
       
   126     if (num_vertices(g) == 0) return; // Nothing to do in this case
       
   127     typename graph_traits<Graph>::vertices_size_type n;
       
   128     n = is_default_param(get_param(params, vertex_rank))
       
   129                                    ? num_vertices(g) : 1;
       
   130     std::vector<size_type> rank_map(n);
       
   131     n = is_default_param(get_param(params, vertex_predecessor))
       
   132                                    ? num_vertices(g) : 1;
       
   133     std::vector<vertex_t> pred_map(n);
       
   134     
       
   135     detail::kruskal_mst_impl
       
   136       (g, spanning_tree_edges, 
       
   137        choose_param
       
   138        (get_param(params, vertex_rank), 
       
   139         make_iterator_property_map
       
   140         (rank_map.begin(), 
       
   141          choose_pmap(get_param(params, vertex_index), g, vertex_index), rank_map[0])),
       
   142        choose_param
       
   143        (get_param(params, vertex_predecessor), 
       
   144         make_iterator_property_map
       
   145         (pred_map.begin(), 
       
   146          choose_const_pmap(get_param(params, vertex_index), g, vertex_index), 
       
   147          pred_map[0])),
       
   148        choose_const_pmap(get_param(params, edge_weight), g, edge_weight));
       
   149   }
       
   150     
       
   151 } // namespace boost
       
   152 
       
   153 
       
   154 #endif // BOOST_GRAPH_MST_KRUSKAL_HPP
       
   155