[1077] | 1 | /* -*- C++ -*- |
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| 2 | * |
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[1956] | 3 | * This file is a part of LEMON, a generic C++ optimization library |
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| 4 | * |
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| 5 | * Copyright (C) 2003-2006 |
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| 6 | * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport |
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[1359] | 7 | * (Egervary Research Group on Combinatorial Optimization, EGRES). |
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[1077] | 8 | * |
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| 9 | * Permission to use, modify and distribute this software is granted |
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| 10 | * provided that this copyright notice appears in all copies. For |
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| 11 | * precise terms see the accompanying LICENSE file. |
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| 12 | * |
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| 13 | * This software is provided "AS IS" with no warranty of any kind, |
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| 14 | * express or implied, and with no claim as to its suitability for any |
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| 15 | * purpose. |
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| 16 | * |
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| 17 | */ |
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| 18 | |
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| 19 | #ifndef LEMON_MAX_MATCHING_H |
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| 20 | #define LEMON_MAX_MATCHING_H |
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| 21 | |
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| 22 | #include <queue> |
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[1993] | 23 | #include <lemon/bits/invalid.h> |
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[1093] | 24 | #include <lemon/unionfind.h> |
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[1077] | 25 | #include <lemon/graph_utils.h> |
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| 26 | |
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| 27 | ///\ingroup galgs |
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| 28 | ///\file |
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| 29 | ///\brief Maximum matching algorithm. |
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| 30 | |
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| 31 | namespace lemon { |
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| 32 | |
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| 33 | /// \addtogroup galgs |
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| 34 | /// @{ |
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| 35 | |
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| 36 | ///Edmonds' alternating forest maximum matching algorithm. |
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| 37 | |
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| 38 | ///This class provides Edmonds' alternating forest matching |
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| 39 | ///algorithm. The starting matching (if any) can be passed to the |
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| 40 | ///algorithm using read-in functions \ref readNMapNode, \ref |
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| 41 | ///readNMapEdge or \ref readEMapBool depending on the container. The |
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| 42 | ///resulting maximum matching can be attained by write-out functions |
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| 43 | ///\ref writeNMapNode, \ref writeNMapEdge or \ref writeEMapBool |
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| 44 | ///depending on the preferred container. |
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| 45 | /// |
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| 46 | ///The dual side of a matching is a map of the nodes to |
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| 47 | ///MaxMatching::pos_enum, having values D, A and C showing the |
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| 48 | ///Gallai-Edmonds decomposition of the graph. The nodes in D induce |
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| 49 | ///a graph with factor-critical components, the nodes in A form the |
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| 50 | ///barrier, and the nodes in C induce a graph having a perfect |
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| 51 | ///matching. This decomposition can be attained by calling \ref |
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[1090] | 52 | ///writePos after running the algorithm. |
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[1077] | 53 | /// |
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| 54 | ///\param Graph The undirected graph type the algorithm runs on. |
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| 55 | /// |
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| 56 | ///\author Jacint Szabo |
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| 57 | template <typename Graph> |
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| 58 | class MaxMatching { |
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[1165] | 59 | |
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| 60 | protected: |
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| 61 | |
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[1077] | 62 | typedef typename Graph::Node Node; |
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| 63 | typedef typename Graph::Edge Edge; |
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[1909] | 64 | typedef typename Graph::UEdge UEdge; |
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| 65 | typedef typename Graph::UEdgeIt UEdgeIt; |
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[1077] | 66 | typedef typename Graph::NodeIt NodeIt; |
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| 67 | typedef typename Graph::IncEdgeIt IncEdgeIt; |
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| 68 | |
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| 69 | typedef UnionFindEnum<Node, Graph::template NodeMap> UFE; |
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| 70 | |
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| 71 | public: |
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| 72 | |
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| 73 | ///Indicates the Gallai-Edmonds decomposition of the graph. |
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| 74 | |
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| 75 | ///Indicates the Gallai-Edmonds decomposition of the graph, which |
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| 76 | ///shows an upper bound on the size of a maximum matching. The |
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| 77 | ///nodes with pos_enum \c D induce a graph with factor-critical |
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| 78 | ///components, the nodes in \c A form the canonical barrier, and the |
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| 79 | ///nodes in \c C induce a graph having a perfect matching. |
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| 80 | enum pos_enum { |
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| 81 | D=0, |
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| 82 | A=1, |
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| 83 | C=2 |
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| 84 | }; |
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| 85 | |
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[1165] | 86 | protected: |
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[1077] | 87 | |
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| 88 | static const int HEUR_density=2; |
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| 89 | const Graph& g; |
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[1093] | 90 | typename Graph::template NodeMap<Node> _mate; |
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[1077] | 91 | typename Graph::template NodeMap<pos_enum> position; |
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| 92 | |
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| 93 | public: |
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| 94 | |
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[1093] | 95 | MaxMatching(const Graph& _g) : g(_g), _mate(_g,INVALID), position(_g) {} |
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[1077] | 96 | |
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| 97 | ///Runs Edmonds' algorithm. |
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| 98 | |
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| 99 | ///Runs Edmonds' algorithm for sparse graphs (number of edges < |
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| 100 | ///2*number of nodes), and a heuristical Edmonds' algorithm with a |
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[1090] | 101 | ///heuristic of postponing shrinks for dense graphs. |
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[1587] | 102 | void run() { |
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[1909] | 103 | if ( countUEdges(g) < HEUR_density*countNodes(g) ) { |
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[1587] | 104 | greedyMatching(); |
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| 105 | runEdmonds(0); |
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| 106 | } else runEdmonds(1); |
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| 107 | } |
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| 108 | |
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[1077] | 109 | |
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| 110 | ///Runs Edmonds' algorithm. |
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| 111 | |
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| 112 | ///If heur=0 it runs Edmonds' algorithm. If heur=1 it runs |
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| 113 | ///Edmonds' algorithm with a heuristic of postponing shrinks, |
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[1090] | 114 | ///giving a faster algorithm for dense graphs. |
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[1587] | 115 | void runEdmonds( int heur = 1 ) { |
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| 116 | |
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[2023] | 117 | //each vertex is put to C |
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[1587] | 118 | for(NodeIt v(g); v!=INVALID; ++v) |
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| 119 | position.set(v,C); |
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| 120 | |
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| 121 | typename Graph::template NodeMap<Node> ear(g,INVALID); |
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| 122 | //undefined for the base nodes of the blossoms (i.e. for the |
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| 123 | //representative elements of UFE blossom) and for the nodes in C |
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| 124 | |
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| 125 | typename UFE::MapType blossom_base(g); |
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| 126 | UFE blossom(blossom_base); |
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| 127 | typename UFE::MapType tree_base(g); |
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| 128 | UFE tree(tree_base); |
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| 129 | //If these UFE's would be members of the class then also |
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| 130 | //blossom_base and tree_base should be a member. |
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| 131 | |
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[2023] | 132 | //We build only one tree and the other vertices uncovered by the |
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| 133 | //matching belong to C. (They can be considered as singleton |
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| 134 | //trees.) If this tree can be augmented or no more |
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| 135 | //grow/augmentation/shrink is possible then we return to this |
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| 136 | //"for" cycle. |
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[1587] | 137 | for(NodeIt v(g); v!=INVALID; ++v) { |
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| 138 | if ( position[v]==C && _mate[v]==INVALID ) { |
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| 139 | blossom.insert(v); |
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| 140 | tree.insert(v); |
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| 141 | position.set(v,D); |
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| 142 | if ( heur == 1 ) lateShrink( v, ear, blossom, tree ); |
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| 143 | else normShrink( v, ear, blossom, tree ); |
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| 144 | } |
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| 145 | } |
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| 146 | } |
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| 147 | |
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[1077] | 148 | |
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| 149 | ///Finds a greedy matching starting from the actual matching. |
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| 150 | |
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| 151 | ///Starting form the actual matching stored, it finds a maximal |
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| 152 | ///greedy matching. |
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[1587] | 153 | void greedyMatching() { |
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| 154 | for(NodeIt v(g); v!=INVALID; ++v) |
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| 155 | if ( _mate[v]==INVALID ) { |
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| 156 | for( IncEdgeIt e(g,v); e!=INVALID ; ++e ) { |
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| 157 | Node y=g.runningNode(e); |
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| 158 | if ( _mate[y]==INVALID && y!=v ) { |
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| 159 | _mate.set(v,y); |
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| 160 | _mate.set(y,v); |
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| 161 | break; |
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| 162 | } |
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| 163 | } |
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| 164 | } |
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| 165 | } |
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[1077] | 166 | |
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| 167 | ///Returns the size of the actual matching stored. |
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| 168 | |
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| 169 | ///Returns the size of the actual matching stored. After \ref |
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| 170 | ///run() it returns the size of a maximum matching in the graph. |
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[1587] | 171 | int size() const { |
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| 172 | int s=0; |
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| 173 | for(NodeIt v(g); v!=INVALID; ++v) { |
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| 174 | if ( _mate[v]!=INVALID ) { |
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| 175 | ++s; |
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| 176 | } |
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| 177 | } |
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| 178 | return s/2; |
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| 179 | } |
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| 180 | |
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[1077] | 181 | |
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| 182 | ///Resets the actual matching to the empty matching. |
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| 183 | |
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| 184 | ///Resets the actual matching to the empty matching. |
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| 185 | /// |
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[1587] | 186 | void resetMatching() { |
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| 187 | for(NodeIt v(g); v!=INVALID; ++v) |
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| 188 | _mate.set(v,INVALID); |
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| 189 | } |
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[1077] | 190 | |
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[1093] | 191 | ///Returns the mate of a node in the actual matching. |
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| 192 | |
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| 193 | ///Returns the mate of a \c node in the actual matching. |
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| 194 | ///Returns INVALID if the \c node is not covered by the actual matching. |
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| 195 | Node mate(Node& node) const { |
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| 196 | return _mate[node]; |
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| 197 | } |
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| 198 | |
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[1165] | 199 | ///Reads a matching from a \c Node valued \c Node map. |
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[1077] | 200 | |
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[1165] | 201 | ///Reads a matching from a \c Node valued \c Node map. This map |
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| 202 | ///must be \e symmetric, i.e. if \c map[u]==v then \c map[v]==u |
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| 203 | ///must hold, and \c uv will be an edge of the matching. |
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[1077] | 204 | template<typename NMapN> |
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| 205 | void readNMapNode(NMapN& map) { |
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| 206 | for(NodeIt v(g); v!=INVALID; ++v) { |
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[1093] | 207 | _mate.set(v,map[v]); |
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[1077] | 208 | } |
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| 209 | } |
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| 210 | |
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[1165] | 211 | ///Writes the stored matching to a \c Node valued \c Node map. |
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[1077] | 212 | |
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[1165] | 213 | ///Writes the stored matching to a \c Node valued \c Node map. The |
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[1077] | 214 | ///resulting map will be \e symmetric, i.e. if \c map[u]==v then \c |
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| 215 | ///map[v]==u will hold, and now \c uv is an edge of the matching. |
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| 216 | template<typename NMapN> |
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| 217 | void writeNMapNode (NMapN& map) const { |
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| 218 | for(NodeIt v(g); v!=INVALID; ++v) { |
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[1093] | 219 | map.set(v,_mate[v]); |
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[1077] | 220 | } |
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| 221 | } |
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| 222 | |
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[1909] | 223 | ///Reads a matching from an \c UEdge valued \c Node map. |
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[1077] | 224 | |
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[1909] | 225 | ///Reads a matching from an \c UEdge valued \c Node map. \c |
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| 226 | ///map[v] must be an \c UEdge incident to \c v. This map must |
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[1165] | 227 | ///have the property that if \c g.oppositeNode(u,map[u])==v then |
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| 228 | ///\c \c g.oppositeNode(v,map[v])==u holds, and now some edge |
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[1172] | 229 | ///joining \c u to \c v will be an edge of the matching. |
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[1077] | 230 | template<typename NMapE> |
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| 231 | void readNMapEdge(NMapE& map) { |
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[2023] | 232 | for(NodeIt v(g); v!=INVALID; ++v) { |
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| 233 | UEdge e=map[v]; |
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[1165] | 234 | if ( e!=INVALID ) |
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[1166] | 235 | _mate.set(v,g.oppositeNode(v,e)); |
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[1077] | 236 | } |
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| 237 | } |
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| 238 | |
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[1909] | 239 | ///Writes the matching stored to an \c UEdge valued \c Node map. |
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[1077] | 240 | |
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[1909] | 241 | ///Writes the stored matching to an \c UEdge valued \c Node |
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| 242 | ///map. \c map[v] will be an \c UEdge incident to \c v. This |
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[1165] | 243 | ///map will have the property that if \c g.oppositeNode(u,map[u]) |
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| 244 | ///== v then \c map[u]==map[v] holds, and now this edge is an edge |
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| 245 | ///of the matching. |
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[1077] | 246 | template<typename NMapE> |
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| 247 | void writeNMapEdge (NMapE& map) const { |
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| 248 | typename Graph::template NodeMap<bool> todo(g,true); |
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| 249 | for(NodeIt v(g); v!=INVALID; ++v) { |
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[1093] | 250 | if ( todo[v] && _mate[v]!=INVALID ) { |
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| 251 | Node u=_mate[v]; |
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[1077] | 252 | for(IncEdgeIt e(g,v); e!=INVALID; ++e) { |
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[1158] | 253 | if ( g.runningNode(e) == u ) { |
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[1077] | 254 | map.set(u,e); |
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| 255 | map.set(v,e); |
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| 256 | todo.set(u,false); |
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| 257 | todo.set(v,false); |
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| 258 | break; |
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| 259 | } |
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| 260 | } |
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| 261 | } |
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| 262 | } |
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| 263 | } |
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| 264 | |
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| 265 | |
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[1165] | 266 | ///Reads a matching from a \c bool valued \c Edge map. |
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[1077] | 267 | |
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[1165] | 268 | ///Reads a matching from a \c bool valued \c Edge map. This map |
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| 269 | ///must have the property that there are no two incident edges \c |
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| 270 | ///e, \c f with \c map[e]==map[f]==true. The edges \c e with \c |
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[1077] | 271 | ///map[e]==true form the matching. |
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| 272 | template<typename EMapB> |
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| 273 | void readEMapBool(EMapB& map) { |
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[1909] | 274 | for(UEdgeIt e(g); e!=INVALID; ++e) { |
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[1077] | 275 | if ( map[e] ) { |
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| 276 | Node u=g.source(e); |
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| 277 | Node v=g.target(e); |
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[1093] | 278 | _mate.set(u,v); |
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| 279 | _mate.set(v,u); |
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[1077] | 280 | } |
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| 281 | } |
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| 282 | } |
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| 283 | |
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| 284 | |
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[1165] | 285 | ///Writes the matching stored to a \c bool valued \c Edge map. |
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[1077] | 286 | |
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[1165] | 287 | ///Writes the matching stored to a \c bool valued \c Edge |
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| 288 | ///map. This map will have the property that there are no two |
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| 289 | ///incident edges \c e, \c f with \c map[e]==map[f]==true. The |
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| 290 | ///edges \c e with \c map[e]==true form the matching. |
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[1077] | 291 | template<typename EMapB> |
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| 292 | void writeEMapBool (EMapB& map) const { |
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[1909] | 293 | for(UEdgeIt e(g); e!=INVALID; ++e) map.set(e,false); |
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[1077] | 294 | |
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| 295 | typename Graph::template NodeMap<bool> todo(g,true); |
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| 296 | for(NodeIt v(g); v!=INVALID; ++v) { |
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[1093] | 297 | if ( todo[v] && _mate[v]!=INVALID ) { |
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| 298 | Node u=_mate[v]; |
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[1077] | 299 | for(IncEdgeIt e(g,v); e!=INVALID; ++e) { |
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[1158] | 300 | if ( g.runningNode(e) == u ) { |
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[1077] | 301 | map.set(e,true); |
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| 302 | todo.set(u,false); |
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| 303 | todo.set(v,false); |
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| 304 | break; |
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| 305 | } |
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| 306 | } |
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| 307 | } |
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| 308 | } |
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| 309 | } |
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| 310 | |
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| 311 | |
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| 312 | ///Writes the canonical decomposition of the graph after running |
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| 313 | ///the algorithm. |
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| 314 | |
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[1090] | 315 | ///After calling any run methods of the class, it writes the |
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| 316 | ///Gallai-Edmonds canonical decomposition of the graph. \c map |
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| 317 | ///must be a node map of \ref pos_enum 's. |
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[1077] | 318 | template<typename NMapEnum> |
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| 319 | void writePos (NMapEnum& map) const { |
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| 320 | for(NodeIt v(g); v!=INVALID; ++v) map.set(v,position[v]); |
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| 321 | } |
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| 322 | |
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| 323 | private: |
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| 324 | |
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[1165] | 325 | |
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[1077] | 326 | void lateShrink(Node v, typename Graph::template NodeMap<Node>& ear, |
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| 327 | UFE& blossom, UFE& tree); |
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| 328 | |
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[1234] | 329 | void normShrink(Node v, typename Graph::template NodeMap<Node>& ear, |
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[1077] | 330 | UFE& blossom, UFE& tree); |
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| 331 | |
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[2023] | 332 | void shrink(Node x,Node y, typename Graph::template NodeMap<Node>& ear, |
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| 333 | UFE& blossom, UFE& tree,std::queue<Node>& Q); |
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[1077] | 334 | |
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[1234] | 335 | void shrinkStep(Node& top, Node& middle, Node& bottom, |
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| 336 | typename Graph::template NodeMap<Node>& ear, |
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[1077] | 337 | UFE& blossom, UFE& tree, std::queue<Node>& Q); |
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| 338 | |
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[2023] | 339 | bool growOrAugment(Node& y, Node& x, typename Graph::template |
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| 340 | NodeMap<Node>& ear, UFE& blossom, UFE& tree, |
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| 341 | std::queue<Node>& Q); |
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| 342 | |
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[1234] | 343 | void augment(Node x, typename Graph::template NodeMap<Node>& ear, |
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[1077] | 344 | UFE& blossom, UFE& tree); |
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| 345 | |
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| 346 | }; |
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| 347 | |
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| 348 | |
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| 349 | // ********************************************************************** |
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| 350 | // IMPLEMENTATIONS |
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| 351 | // ********************************************************************** |
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| 352 | |
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| 353 | |
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| 354 | template <typename Graph> |
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[2023] | 355 | void MaxMatching<Graph>::lateShrink(Node v, typename Graph::template |
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| 356 | NodeMap<Node>& ear, UFE& blossom, UFE& tree) { |
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| 357 | //We have one tree which we grow, and also shrink but only if it cannot be |
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| 358 | //postponed. If we augment then we return to the "for" cycle of |
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| 359 | //runEdmonds(). |
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[1077] | 360 | |
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| 361 | std::queue<Node> Q; //queue of the totally unscanned nodes |
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| 362 | Q.push(v); |
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| 363 | std::queue<Node> R; |
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| 364 | //queue of the nodes which must be scanned for a possible shrink |
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| 365 | |
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| 366 | while ( !Q.empty() ) { |
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| 367 | Node x=Q.front(); |
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| 368 | Q.pop(); |
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[2023] | 369 | for( IncEdgeIt e(g,x); e!= INVALID; ++e ) { |
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| 370 | Node y=g.runningNode(e); |
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| 371 | //growOrAugment grows if y is covered by the matching and |
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| 372 | //augments if not. In this latter case it returns 1. |
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| 373 | if ( position[y]==C && growOrAugment(y, x, ear, blossom, tree, Q) ) return; |
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| 374 | } |
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| 375 | R.push(x); |
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[1077] | 376 | } |
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| 377 | |
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| 378 | while ( !R.empty() ) { |
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| 379 | Node x=R.front(); |
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| 380 | R.pop(); |
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| 381 | |
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| 382 | for( IncEdgeIt e(g,x); e!=INVALID ; ++e ) { |
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[1158] | 383 | Node y=g.runningNode(e); |
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[1077] | 384 | |
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[2023] | 385 | if ( position[y] == D && blossom.find(x) != blossom.find(y) ) |
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| 386 | //Recall that we have only one tree. |
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| 387 | shrink( x, y, ear, blossom, tree, Q); |
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[1077] | 388 | |
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| 389 | while ( !Q.empty() ) { |
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| 390 | Node x=Q.front(); |
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| 391 | Q.pop(); |
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[2023] | 392 | for( IncEdgeIt e(g,x); e!= INVALID; ++e ) { |
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| 393 | Node y=g.runningNode(e); |
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| 394 | //growOrAugment grows if y is covered by the matching and |
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| 395 | //augments if not. In this latter case it returns 1. |
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| 396 | if ( position[y]==C && growOrAugment(y, x, ear, blossom, tree, Q) ) return; |
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| 397 | } |
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| 398 | R.push(x); |
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[1077] | 399 | } |
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| 400 | } //for e |
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| 401 | } // while ( !R.empty() ) |
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| 402 | } |
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| 403 | |
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| 404 | |
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| 405 | template <typename Graph> |
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[1234] | 406 | void MaxMatching<Graph>::normShrink(Node v, |
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| 407 | typename Graph::template |
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| 408 | NodeMap<Node>& ear, |
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[1077] | 409 | UFE& blossom, UFE& tree) { |
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[2023] | 410 | //We have one tree, which we grow and shrink. If we augment then we |
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| 411 | //return to the "for" cycle of runEdmonds(). |
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| 412 | |
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[1077] | 413 | std::queue<Node> Q; //queue of the unscanned nodes |
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| 414 | Q.push(v); |
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| 415 | while ( !Q.empty() ) { |
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| 416 | |
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| 417 | Node x=Q.front(); |
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| 418 | Q.pop(); |
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| 419 | |
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| 420 | for( IncEdgeIt e(g,x); e!=INVALID; ++e ) { |
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[1158] | 421 | Node y=g.runningNode(e); |
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[1077] | 422 | |
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| 423 | switch ( position[y] ) { |
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| 424 | case D: //x and y must be in the same tree |
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[2023] | 425 | if ( blossom.find(x) != blossom.find(y) ) |
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| 426 | //x and y are in the same tree |
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| 427 | shrink( x, y, ear, blossom, tree, Q); |
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[1077] | 428 | break; |
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| 429 | case C: |
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[2023] | 430 | //growOrAugment grows if y is covered by the matching and |
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| 431 | //augments if not. In this latter case it returns 1. |
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| 432 | if ( growOrAugment(y, x, ear, blossom, tree, Q) ) return; |
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[1077] | 433 | break; |
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| 434 | default: break; |
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[2023] | 435 | } |
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[1077] | 436 | } |
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| 437 | } |
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| 438 | } |
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[2023] | 439 | |
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[1077] | 440 | |
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| 441 | template <typename Graph> |
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[2023] | 442 | void MaxMatching<Graph>::shrink(Node x,Node y, typename |
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| 443 | Graph::template NodeMap<Node>& ear, |
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| 444 | UFE& blossom, UFE& tree, std::queue<Node>& Q) { |
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| 445 | //x and y are the two adjacent vertices in two blossoms. |
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| 446 | |
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| 447 | typename Graph::template NodeMap<bool> path(g,false); |
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| 448 | |
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| 449 | Node b=blossom.find(x); |
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| 450 | path.set(b,true); |
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| 451 | b=_mate[b]; |
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| 452 | while ( b!=INVALID ) { |
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| 453 | b=blossom.find(ear[b]); |
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| 454 | path.set(b,true); |
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| 455 | b=_mate[b]; |
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| 456 | } //we go until the root through bases of blossoms and odd vertices |
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| 457 | |
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| 458 | Node top=y; |
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| 459 | Node middle=blossom.find(top); |
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| 460 | Node bottom=x; |
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| 461 | while ( !path[middle] ) |
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| 462 | shrinkStep(top, middle, bottom, ear, blossom, tree, Q); |
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| 463 | //Until we arrive to a node on the path, we update blossom, tree |
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| 464 | //and the positions of the odd nodes. |
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| 465 | |
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| 466 | Node base=middle; |
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| 467 | top=x; |
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| 468 | middle=blossom.find(top); |
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| 469 | bottom=y; |
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| 470 | Node blossom_base=blossom.find(base); |
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| 471 | while ( middle!=blossom_base ) |
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| 472 | shrinkStep(top, middle, bottom, ear, blossom, tree, Q); |
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| 473 | //Until we arrive to a node on the path, we update blossom, tree |
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| 474 | //and the positions of the odd nodes. |
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| 475 | |
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| 476 | blossom.makeRep(base); |
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[1077] | 477 | } |
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| 478 | |
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[2023] | 479 | |
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| 480 | |
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[1077] | 481 | template <typename Graph> |
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[1234] | 482 | void MaxMatching<Graph>::shrinkStep(Node& top, Node& middle, Node& bottom, |
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| 483 | typename Graph::template |
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| 484 | NodeMap<Node>& ear, |
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| 485 | UFE& blossom, UFE& tree, |
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| 486 | std::queue<Node>& Q) { |
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[2023] | 487 | //We traverse a blossom and update everything. |
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| 488 | |
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[1077] | 489 | ear.set(top,bottom); |
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| 490 | Node t=top; |
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| 491 | while ( t!=middle ) { |
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[1093] | 492 | Node u=_mate[t]; |
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[1077] | 493 | t=ear[u]; |
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| 494 | ear.set(t,u); |
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| 495 | } |
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[1093] | 496 | bottom=_mate[middle]; |
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[1077] | 497 | position.set(bottom,D); |
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| 498 | Q.push(bottom); |
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| 499 | top=ear[bottom]; |
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| 500 | Node oldmiddle=middle; |
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| 501 | middle=blossom.find(top); |
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| 502 | tree.erase(bottom); |
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| 503 | tree.erase(oldmiddle); |
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| 504 | blossom.insert(bottom); |
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| 505 | blossom.join(bottom, oldmiddle); |
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| 506 | blossom.join(top, oldmiddle); |
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| 507 | } |
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| 508 | |
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[2023] | 509 | |
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| 510 | template <typename Graph> |
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| 511 | bool MaxMatching<Graph>::growOrAugment(Node& y, Node& x, typename Graph::template |
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| 512 | NodeMap<Node>& ear, UFE& blossom, UFE& tree, |
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| 513 | std::queue<Node>& Q) { |
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| 514 | //x is in a blossom in the tree, y is outside. If y is covered by |
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| 515 | //the matching we grow, otherwise we augment. In this case we |
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| 516 | //return 1. |
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| 517 | |
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| 518 | if ( _mate[y]!=INVALID ) { //grow |
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| 519 | ear.set(y,x); |
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| 520 | Node w=_mate[y]; |
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| 521 | blossom.insert(w); |
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| 522 | position.set(y,A); |
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| 523 | position.set(w,D); |
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| 524 | tree.insert(y); |
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| 525 | tree.insert(w); |
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| 526 | tree.join(y,blossom.find(x)); |
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| 527 | tree.join(w,y); |
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| 528 | Q.push(w); |
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| 529 | } else { //augment |
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| 530 | augment(x, ear, blossom, tree); |
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| 531 | _mate.set(x,y); |
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| 532 | _mate.set(y,x); |
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| 533 | return true; |
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| 534 | } |
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| 535 | return false; |
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| 536 | } |
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| 537 | |
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| 538 | |
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[1077] | 539 | template <typename Graph> |
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[1234] | 540 | void MaxMatching<Graph>::augment(Node x, |
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| 541 | typename Graph::template NodeMap<Node>& ear, |
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[1077] | 542 | UFE& blossom, UFE& tree) { |
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[1093] | 543 | Node v=_mate[x]; |
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[1077] | 544 | while ( v!=INVALID ) { |
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| 545 | |
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| 546 | Node u=ear[v]; |
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[1093] | 547 | _mate.set(v,u); |
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[1077] | 548 | Node tmp=v; |
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[1093] | 549 | v=_mate[u]; |
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| 550 | _mate.set(u,tmp); |
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[1077] | 551 | } |
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[2023] | 552 | Node y=blossom.find(x); |
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[1077] | 553 | typename UFE::ItemIt it; |
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| 554 | for (tree.first(it,blossom.find(x)); tree.valid(it); tree.next(it)) { |
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| 555 | if ( position[it] == D ) { |
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| 556 | typename UFE::ItemIt b_it; |
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| 557 | for (blossom.first(b_it,it); blossom.valid(b_it); blossom.next(b_it)) { |
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| 558 | position.set( b_it ,C); |
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| 559 | } |
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| 560 | blossom.eraseClass(it); |
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| 561 | } else position.set( it ,C); |
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| 562 | } |
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[2023] | 563 | tree.eraseClass(y); |
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[1077] | 564 | |
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| 565 | } |
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| 566 | |
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| 567 | /// @} |
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| 568 | |
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| 569 | } //END OF NAMESPACE LEMON |
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| 570 | |
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[1165] | 571 | #endif //LEMON_MAX_MATCHING_H |
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