1 | // -*- c++ -*- |
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2 | #ifndef HUGO_MAX_BIPARTITE_MATCHING_H |
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3 | #define HUGO_MAX_BIPARTITE_MATCHING_H |
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4 | |
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5 | /// \ingroup galgs |
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6 | /// \file |
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7 | /// \brief Maximum bipartite matchings, b-matchings and |
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8 | /// capacitated b-matchings. |
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9 | /// |
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10 | /// This file contains a class for bipartite maximum matching, b-matchings |
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11 | /// and capacitated b-matching computations. |
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12 | /// |
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13 | // /// \author Marton Makai |
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14 | |
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15 | //#include <for_each_macros.h> |
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16 | #include <bipartite_graph_wrapper.h> |
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17 | //#include <hugo/maps.h> |
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18 | #include <hugo/max_flow.h> |
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19 | |
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20 | namespace hugo { |
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21 | |
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22 | // template <typename Graph, typename EdgeCap, typename NodeCap, |
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23 | // typename EdgeFlow, typename NodeFlow> |
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24 | // class MaxMatching : public MaxFlow<stGraphWrapper<Graph>, |
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25 | // stGraphWrapper<Graph>:: EdgeMapWrapper<EdgeCan, NodeCap>, stGraphWrapper<Graph>::EdgeMapWrapper<EdgeFlow, NodeFlow> > { |
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26 | // typedef MaxFlow<stGraphWrapper<Graph>, |
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27 | // stGraphWrapper<Graph>::EdgeMapWrapper<EdgeCan, NodeCap>, |
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28 | // stGraphWrapper<Graph>::EdgeMapWrapper<EdgeFlow, NodeFlow> > |
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29 | // Parent; |
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30 | // protected: |
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31 | // stGraphWrapper<Graph> gw; |
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32 | // stGraphWrapper<Graph>::EdgeMapWrapper<EdgeCap, NodeCap> cap; |
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33 | // stGraphWrapper<Graph>::EdgeMapWrapper<EdgeFlow, NodeFlow> flow; |
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34 | // //graph* g; |
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35 | // //EdgeCap* edge_cap; |
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36 | // //EdgeFlow* edge_flow; |
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37 | // public: |
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38 | // MaxMatching(Graph& _g, EdgeCap& _edge_cap, NodeCap& _node_cap, |
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39 | // EdgeFlow& _edge_flow, NodeFlow& _node_flow) : |
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40 | // MaxFlow(), gw(_g), |
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41 | // cap(_edge_cap, _node_cap), flow(_edge_flow, _node_flow) { |
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42 | // Parent::set(gw, cap, flow); |
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43 | // } |
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44 | // }; |
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45 | |
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46 | /// \brief A bipartite matching class. |
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47 | /// |
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48 | /// This class reduces the matching problem to a flow problem and |
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49 | /// a preflow is used on a wrapper. Such a generic approach means that |
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50 | /// matchings, b-matchings an capacitated b-matchings can be handled in |
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51 | /// a similar way. Due to the efficiency of the preflow algorithm, an |
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52 | /// efficient matching framework is obtained. |
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53 | /// \ingroup galgs |
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54 | template <typename Graph, typename EdgeCap, typename NodeCap, |
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55 | typename EdgeFlow, typename NodeFlow> |
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56 | class MaxBipartiteMatching { |
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57 | protected: |
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58 | // EdgeCap* edge_cap; |
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59 | // NodeCap* node_cap; |
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60 | // EdgeFlow* edge_flow; |
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61 | // NodeFlow* node_flow; |
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62 | typedef stBipartiteGraphWrapper<Graph> stGW; |
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63 | stGW stgw; |
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64 | typedef typename stGW::template EdgeMapWrapper<EdgeCap, NodeCap> CapMap; |
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65 | CapMap cap; |
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66 | NodeFlow* node_flow; |
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67 | typedef typename stGW::template EdgeMapWrapper<EdgeFlow, NodeFlow> FlowMap; |
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68 | FlowMap flow; |
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69 | typedef MaxFlow<stGW, int, CapMap, FlowMap> MaxFlow; |
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70 | MaxFlow mf; |
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71 | //graph* g; |
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72 | //EdgeCap* edge_cap; |
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73 | //EdgeFlow* edge_flow; |
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74 | public: |
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75 | enum MatchingEnum{ |
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76 | ZERO_MATCHING, |
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77 | GEN_MATCHING, |
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78 | GEN_MATCHING_WITH_GOOD_NODE_FLOW, |
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79 | NO_MATCHING |
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80 | }; |
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81 | /// For capacitated b-matchings, edge-caoacities and node-capacities |
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82 | /// have to be given. After running \c run the matching is is given |
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83 | /// back in the edge-map \c _edge_flow and \c _node_map can be used |
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84 | /// to obtain saturation information about nodes. |
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85 | ///\bug Note that the values in _edge_flow and _node_flow have |
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86 | /// to form a flow. |
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87 | MaxBipartiteMatching(Graph& _g, EdgeCap& _edge_cap, NodeCap& _node_cap, |
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88 | EdgeFlow& _edge_flow, NodeFlow& _node_flow) : |
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89 | stgw(_g), |
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90 | cap(_edge_cap, _node_cap), |
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91 | node_flow(0), |
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92 | flow(_edge_flow, _node_flow), |
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93 | mf(stgw, stgw.S_NODE, stgw.T_NODE, cap, flow) { } |
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94 | /// If the saturation information of nodes is not needed that the use of |
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95 | /// this constructor is more comfortable. |
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96 | ///\bug Note that the values in _edge_flow and _node_flow have |
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97 | /// to form a flow. |
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98 | MaxBipartiteMatching(Graph& _g, EdgeCap& _edge_cap, NodeCap& _node_cap, |
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99 | EdgeFlow& _edge_flow/*, NodeFlow& _node_flow*/) : |
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100 | stgw(_g), |
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101 | cap(_edge_cap, _node_cap), |
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102 | node_flow(new NodeFlow(_g)), |
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103 | flow(_edge_flow, *node_flow), |
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104 | mf(stgw, stgw.S_NODE, stgw.T_NODE, cap, flow) { } |
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105 | /// The class have a nontrivial destructor. |
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106 | ~MaxBipartiteMatching() { if (node_flow) delete node_flow; } |
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107 | /// run computes the max matching. |
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108 | void run(MatchingEnum me=ZERO_MATCHING) { |
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109 | switch (me) { |
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110 | case ZERO_MATCHING: |
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111 | mf.run(MaxFlow::ZERO_FLOW); |
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112 | break; |
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113 | case GEN_MATCHING: |
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114 | { |
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115 | typename stGW::OutEdgeIt e; |
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116 | for (stgw.first(e, stgw.S_NODE); stgw.valid(e); stgw.next(e)) |
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117 | flow.set(e, cap[e]); |
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118 | } |
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119 | { |
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120 | typename stGW::InEdgeIt e; |
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121 | for (stgw.first(e, stgw.T_NODE); stgw.valid(e); stgw.next(e)) |
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122 | flow.set(e, 0); |
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123 | } |
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124 | mf.run(MaxFlow::PRE_FLOW); |
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125 | break; |
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126 | case GEN_MATCHING_WITH_GOOD_NODE_FLOW: |
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127 | mf.run(MaxFlow::GEN_FLOW); |
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128 | break; |
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129 | case NO_MATCHING: |
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130 | mf.run(MaxFlow::NO_FLOW); |
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131 | break; |
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132 | } |
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133 | } |
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134 | /// The matching value after running \c run. |
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135 | int matchingValue() const { return mf.flowValue(); } |
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136 | }; |
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137 | |
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138 | } //namespace hugo |
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139 | |
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140 | #endif //HUGO_MAX_BIPARTITE_MATCHING_H |
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