1 | // -*- C++ -*- |
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2 | |
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3 | /* |
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4 | Heuristics: |
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5 | 2 phase |
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6 | gap |
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7 | list 'level_list' on the nodes on level i implemented by hand |
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8 | stack 'active' on the active nodes on level i |
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9 | runs heuristic 'highest label' for H1*n relabels |
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10 | runs heuristic 'bound decrease' for H0*n relabels, starts with 'highest label' |
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11 | |
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12 | Parameters H0 and H1 are initialized to 20 and 1. |
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13 | |
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14 | Constructors: |
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15 | |
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16 | Preflow(Graph, Node, Node, CapMap, FlowMap, bool) : bool must be false if |
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17 | FlowMap is not constant zero, and should be true if it is |
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18 | |
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19 | Members: |
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20 | |
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21 | void run() |
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22 | |
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23 | Num flowValue() : returns the value of a maximum flow |
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24 | |
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25 | void minMinCut(CutMap& M) : sets M to the characteristic vector of the |
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26 | minimum min cut. M should be a map of bools initialized to false. ??Is it OK? |
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27 | |
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28 | void maxMinCut(CutMap& M) : sets M to the characteristic vector of the |
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29 | maximum min cut. M should be a map of bools initialized to false. |
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30 | |
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31 | void minCut(CutMap& M) : sets M to the characteristic vector of |
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32 | a min cut. M should be a map of bools initialized to false. |
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33 | |
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34 | */ |
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35 | |
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36 | #ifndef HUGO_MAX_FLOW_H |
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37 | #define HUGO_MAX_FLOW_H |
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38 | |
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39 | #define H0 20 |
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40 | #define H1 1 |
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41 | |
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42 | #include <vector> |
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43 | #include <queue> |
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44 | #include <stack> |
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45 | |
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46 | #include <graph_wrapper.h> |
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47 | #include <bfs_iterator.h> |
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48 | #include <hugo/invalid.h> |
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49 | #include <hugo/maps.h> |
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50 | #include <for_each_macros.h> |
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51 | |
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52 | /// \file |
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53 | /// \brief Dimacs file format reader. |
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54 | |
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55 | namespace hugo { |
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56 | |
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57 | |
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58 | // ///\author Marton Makai, Jacint Szabo |
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59 | /// A class for computing max flows and related quantities. |
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60 | template <typename Graph, typename Num, |
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61 | typename CapMap=typename Graph::template EdgeMap<Num>, |
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62 | typename FlowMap=typename Graph::template EdgeMap<Num> > |
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63 | class MaxFlow { |
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64 | |
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65 | typedef typename Graph::Node Node; |
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66 | typedef typename Graph::NodeIt NodeIt; |
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67 | typedef typename Graph::OutEdgeIt OutEdgeIt; |
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68 | typedef typename Graph::InEdgeIt InEdgeIt; |
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69 | |
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70 | typedef typename std::vector<std::stack<Node> > VecStack; |
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71 | typedef typename Graph::template NodeMap<Node> NNMap; |
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72 | typedef typename std::vector<Node> VecNode; |
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73 | |
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74 | const Graph* g; |
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75 | Node s; |
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76 | Node t; |
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77 | const CapMap* capacity; |
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78 | FlowMap* flow; |
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79 | int n; //the number of nodes of G |
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80 | typedef ResGraphWrapper<const Graph, Num, CapMap, FlowMap> ResGW; |
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81 | typedef typename ResGW::OutEdgeIt ResGWOutEdgeIt; |
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82 | typedef typename ResGW::Edge ResGWEdge; |
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83 | //typedef typename ResGW::template NodeMap<bool> ReachedMap; |
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84 | typedef typename Graph::template NodeMap<int> ReachedMap; |
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85 | ReachedMap level; |
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86 | //level works as a bool map in augmenting path algorithms |
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87 | //and is used by bfs for storing reached information. |
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88 | //In preflow, it shows levels of nodes. |
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89 | //typename Graph::template NodeMap<int> level; |
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90 | typename Graph::template NodeMap<Num> excess; |
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91 | // protected: |
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92 | // MaxFlow() { } |
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93 | // void set(const Graph& _G, Node _s, Node _t, const CapMap& _capacity, |
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94 | // FlowMap& _flow) |
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95 | // { |
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96 | // g=&_G; |
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97 | // s=_s; |
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98 | // t=_t; |
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99 | // capacity=&_capacity; |
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100 | // flow=&_flow; |
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101 | // n=_G.nodeNum; |
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102 | // level.set (_G); //kellene vmi ilyesmi fv |
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103 | // excess(_G,0); //itt is |
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104 | // } |
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105 | |
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106 | public: |
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107 | |
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108 | ///\todo Document this |
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109 | enum flowEnum{ |
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110 | ZERO_FLOW=0, |
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111 | GEN_FLOW=1, |
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112 | PREFLOW=2 |
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113 | }; |
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114 | |
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115 | MaxFlow(const Graph& _G, Node _s, Node _t, const CapMap& _capacity, |
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116 | FlowMap& _flow) : |
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117 | g(&_G), s(_s), t(_t), capacity(&_capacity), |
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118 | flow(&_flow), n(_G.nodeNum()), level(_G), excess(_G,0) {} |
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119 | |
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120 | /// A max flow algorithm is run. |
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121 | ///\pre the flow have to be 0 at the beginning. |
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122 | void run() { |
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123 | preflow(ZERO_FLOW); |
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124 | } |
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125 | |
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126 | /// A preflow algorithm is run. |
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127 | ///\pre The initial edge-map have to be a |
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128 | /// zero flow if \c fe is \c ZERO_FLOW, |
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129 | /// a flow if \c fe is \c GEN_FLOW, |
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130 | /// and a pre-flow it is \c PREFLOW. |
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131 | void preflow(flowEnum fe) { |
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132 | preflowPhase0(fe); |
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133 | preflowPhase1(); |
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134 | } |
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135 | |
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136 | /// Run the first phase of preflow, starting from a 0 flow, from a flow, |
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137 | /// or from a preflow, according to \c fe. |
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138 | void preflowPhase0( flowEnum fe ); |
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139 | |
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140 | /// Second phase of preflow. |
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141 | void preflowPhase1(); |
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142 | |
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143 | /// Starting from a flow, this method searches for an augmenting path |
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144 | /// according to the Edmonds-Karp algorithm |
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145 | /// and augments the flow on if any. |
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146 | /// The return value shows if the augmentation was succesful. |
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147 | bool augmentOnShortestPath(); |
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148 | |
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149 | /// Starting from a flow, this method searches for an augmenting blockin |
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150 | /// flow according to Dinits' algorithm and augments the flow on if any. |
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151 | /// The blocking flow is computed in a physically constructed |
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152 | /// residual graph of type \c Mutablegraph. |
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153 | /// The return value show sif the augmentation was succesful. |
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154 | template<typename MutableGraph> bool augmentOnBlockingFlow(); |
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155 | |
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156 | /// The same as \c augmentOnBlockingFlow<MutableGraph> but the |
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157 | /// residual graph is not constructed physically. |
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158 | /// The return value shows if the augmentation was succesful. |
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159 | bool augmentOnBlockingFlow2(); |
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160 | |
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161 | /// Returns the actual flow value. |
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162 | /// More precisely, it returns the negative excess of s, thus |
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163 | /// this works also for preflows. |
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164 | Num flowValue() { |
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165 | Num a=0; |
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166 | FOR_EACH_INC_LOC(OutEdgeIt, e, *g, s) a+=(*flow)[e]; |
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167 | FOR_EACH_INC_LOC(InEdgeIt, e, *g, s) a-=(*flow)[e]; |
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168 | return a; |
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169 | } |
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170 | |
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171 | /// Should be used between preflowPhase0 and preflowPhase1. |
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172 | ///\todo We have to make some status variable which shows the actual state |
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173 | /// of the class. This enables us to determine which methods are valid |
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174 | /// for MinCut computation |
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175 | template<typename _CutMap> |
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176 | void actMinCut(_CutMap& M) { |
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177 | NodeIt v; |
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178 | for(g->first(v); g->valid(v); g->next(v)) { |
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179 | if ( level[v] < n ) { |
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180 | M.set(v,false); |
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181 | } else { |
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182 | M.set(v,true); |
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183 | } |
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184 | } |
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185 | } |
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186 | |
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187 | /// The unique inclusionwise minimum cut is computed by |
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188 | /// processing a bfs from s in the residual graph. |
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189 | ///\pre flow have to be a max flow otherwise it will the whole node-set. |
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190 | template<typename _CutMap> |
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191 | void minMinCut(_CutMap& M) { |
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192 | |
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193 | std::queue<Node> queue; |
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194 | |
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195 | M.set(s,true); |
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196 | queue.push(s); |
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197 | |
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198 | while (!queue.empty()) { |
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199 | Node w=queue.front(); |
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200 | queue.pop(); |
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201 | |
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202 | OutEdgeIt e; |
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203 | for(g->first(e,w) ; g->valid(e); g->next(e)) { |
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204 | Node v=g->head(e); |
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205 | if (!M[v] && (*flow)[e] < (*capacity)[e] ) { |
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206 | queue.push(v); |
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207 | M.set(v, true); |
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208 | } |
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209 | } |
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210 | |
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211 | InEdgeIt f; |
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212 | for(g->first(f,w) ; g->valid(f); g->next(f)) { |
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213 | Node v=g->tail(f); |
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214 | if (!M[v] && (*flow)[f] > 0 ) { |
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215 | queue.push(v); |
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216 | M.set(v, true); |
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217 | } |
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218 | } |
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219 | } |
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220 | } |
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221 | |
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222 | |
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223 | /// The unique inclusionwise maximum cut is computed by |
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224 | /// processing a reverse bfs from t in the residual graph. |
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225 | ///\pre flow have to be a max flow otherwise it will be empty. |
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226 | template<typename _CutMap> |
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227 | void maxMinCut(_CutMap& M) { |
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228 | |
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229 | NodeIt v; |
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230 | for(g->first(v) ; g->valid(v); g->next(v)) { |
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231 | M.set(v, true); |
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232 | } |
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233 | |
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234 | std::queue<Node> queue; |
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235 | |
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236 | M.set(t,false); |
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237 | queue.push(t); |
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238 | |
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239 | while (!queue.empty()) { |
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240 | Node w=queue.front(); |
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241 | queue.pop(); |
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242 | |
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243 | |
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244 | InEdgeIt e; |
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245 | for(g->first(e,w) ; g->valid(e); g->next(e)) { |
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246 | Node v=g->tail(e); |
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247 | if (M[v] && (*flow)[e] < (*capacity)[e] ) { |
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248 | queue.push(v); |
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249 | M.set(v, false); |
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250 | } |
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251 | } |
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252 | |
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253 | OutEdgeIt f; |
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254 | for(g->first(f,w) ; g->valid(f); g->next(f)) { |
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255 | Node v=g->head(f); |
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256 | if (M[v] && (*flow)[f] > 0 ) { |
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257 | queue.push(v); |
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258 | M.set(v, false); |
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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 | /// A minimum cut is computed. |
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266 | template<typename CutMap> |
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267 | void minCut(CutMap& M) { minMinCut(M); } |
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268 | |
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269 | /// |
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270 | void resetSource(Node _s) { s=_s; } |
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271 | /// |
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272 | void resetTarget(Node _t) { t=_t; } |
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273 | |
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274 | /// capacity-map is changed. |
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275 | void resetCap(const CapMap& _cap) { capacity=&_cap; } |
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276 | |
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277 | /// flow-map is changed. |
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278 | void resetFlow(FlowMap& _flow) { flow=&_flow; } |
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279 | |
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280 | |
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281 | private: |
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282 | |
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283 | int push(Node w, VecStack& active) { |
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284 | |
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285 | int lev=level[w]; |
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286 | Num exc=excess[w]; |
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287 | int newlevel=n; //bound on the next level of w |
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288 | |
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289 | OutEdgeIt e; |
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290 | for(g->first(e,w); g->valid(e); g->next(e)) { |
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291 | |
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292 | if ( (*flow)[e] >= (*capacity)[e] ) continue; |
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293 | Node v=g->head(e); |
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294 | |
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295 | if( lev > level[v] ) { //Push is allowed now |
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296 | |
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297 | if ( excess[v]<=0 && v!=t && v!=s ) { |
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298 | int lev_v=level[v]; |
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299 | active[lev_v].push(v); |
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300 | } |
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301 | |
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302 | Num cap=(*capacity)[e]; |
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303 | Num flo=(*flow)[e]; |
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304 | Num remcap=cap-flo; |
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305 | |
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306 | if ( remcap >= exc ) { //A nonsaturating push. |
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307 | |
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308 | flow->set(e, flo+exc); |
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309 | excess.set(v, excess[v]+exc); |
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310 | exc=0; |
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311 | break; |
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312 | |
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313 | } else { //A saturating push. |
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314 | flow->set(e, cap); |
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315 | excess.set(v, excess[v]+remcap); |
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316 | exc-=remcap; |
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317 | } |
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318 | } else if ( newlevel > level[v] ) newlevel = level[v]; |
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319 | } //for out edges wv |
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320 | |
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321 | if ( exc > 0 ) { |
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322 | InEdgeIt e; |
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323 | for(g->first(e,w); g->valid(e); g->next(e)) { |
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324 | |
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325 | if( (*flow)[e] <= 0 ) continue; |
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326 | Node v=g->tail(e); |
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327 | |
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328 | if( lev > level[v] ) { //Push is allowed now |
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329 | |
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330 | if ( excess[v]<=0 && v!=t && v!=s ) { |
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331 | int lev_v=level[v]; |
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332 | active[lev_v].push(v); |
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333 | } |
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334 | |
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335 | Num flo=(*flow)[e]; |
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336 | |
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337 | if ( flo >= exc ) { //A nonsaturating push. |
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338 | |
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339 | flow->set(e, flo-exc); |
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340 | excess.set(v, excess[v]+exc); |
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341 | exc=0; |
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342 | break; |
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343 | } else { //A saturating push. |
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344 | |
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345 | excess.set(v, excess[v]+flo); |
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346 | exc-=flo; |
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347 | flow->set(e,0); |
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348 | } |
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349 | } else if ( newlevel > level[v] ) newlevel = level[v]; |
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350 | } //for in edges vw |
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351 | |
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352 | } // if w still has excess after the out edge for cycle |
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353 | |
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354 | excess.set(w, exc); |
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355 | |
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356 | return newlevel; |
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357 | } |
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358 | |
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359 | |
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360 | void preflowPreproc ( flowEnum fe, VecStack& active, |
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361 | VecNode& level_list, NNMap& left, NNMap& right ) { |
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362 | |
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363 | std::queue<Node> bfs_queue; |
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364 | |
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365 | switch ( fe ) { |
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366 | case ZERO_FLOW: |
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367 | { |
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368 | //Reverse_bfs from t, to find the starting level. |
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369 | level.set(t,0); |
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370 | bfs_queue.push(t); |
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371 | |
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372 | while (!bfs_queue.empty()) { |
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373 | |
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374 | Node v=bfs_queue.front(); |
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375 | bfs_queue.pop(); |
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376 | int l=level[v]+1; |
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377 | |
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378 | InEdgeIt e; |
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379 | for(g->first(e,v); g->valid(e); g->next(e)) { |
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380 | Node w=g->tail(e); |
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381 | if ( level[w] == n && w != s ) { |
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382 | bfs_queue.push(w); |
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383 | Node first=level_list[l]; |
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384 | if ( g->valid(first) ) left.set(first,w); |
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385 | right.set(w,first); |
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386 | level_list[l]=w; |
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387 | level.set(w, l); |
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388 | } |
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389 | } |
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390 | } |
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391 | |
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392 | //the starting flow |
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393 | OutEdgeIt e; |
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394 | for(g->first(e,s); g->valid(e); g->next(e)) |
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395 | { |
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396 | Num c=(*capacity)[e]; |
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397 | if ( c <= 0 ) continue; |
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398 | Node w=g->head(e); |
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399 | if ( level[w] < n ) { |
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400 | if ( excess[w] <= 0 && w!=t ) active[level[w]].push(w); |
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401 | flow->set(e, c); |
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402 | excess.set(w, excess[w]+c); |
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403 | } |
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404 | } |
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405 | break; |
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406 | } |
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407 | |
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408 | case GEN_FLOW: |
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409 | case PREFLOW: |
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410 | { |
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411 | //Reverse_bfs from t in the residual graph, |
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412 | //to find the starting level. |
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413 | level.set(t,0); |
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414 | bfs_queue.push(t); |
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415 | |
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416 | while (!bfs_queue.empty()) { |
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417 | |
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418 | Node v=bfs_queue.front(); |
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419 | bfs_queue.pop(); |
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420 | int l=level[v]+1; |
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421 | |
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422 | InEdgeIt e; |
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423 | for(g->first(e,v); g->valid(e); g->next(e)) { |
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424 | if ( (*capacity)[e] <= (*flow)[e] ) continue; |
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425 | Node w=g->tail(e); |
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426 | if ( level[w] == n && w != s ) { |
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427 | bfs_queue.push(w); |
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428 | Node first=level_list[l]; |
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429 | if ( g->valid(first) ) left.set(first,w); |
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430 | right.set(w,first); |
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431 | level_list[l]=w; |
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432 | level.set(w, l); |
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433 | } |
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434 | } |
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435 | |
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436 | OutEdgeIt f; |
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437 | for(g->first(f,v); g->valid(f); g->next(f)) { |
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438 | if ( 0 >= (*flow)[f] ) continue; |
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439 | Node w=g->head(f); |
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440 | if ( level[w] == n && w != s ) { |
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441 | bfs_queue.push(w); |
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442 | Node first=level_list[l]; |
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443 | if ( g->valid(first) ) left.set(first,w); |
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444 | right.set(w,first); |
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445 | level_list[l]=w; |
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446 | level.set(w, l); |
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447 | } |
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448 | } |
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449 | } |
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450 | |
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451 | |
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452 | //the starting flow |
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453 | OutEdgeIt e; |
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454 | for(g->first(e,s); g->valid(e); g->next(e)) |
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455 | { |
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456 | Num rem=(*capacity)[e]-(*flow)[e]; |
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457 | if ( rem <= 0 ) continue; |
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458 | Node w=g->head(e); |
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459 | if ( level[w] < n ) { |
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460 | if ( excess[w] <= 0 && w!=t ) active[level[w]].push(w); |
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461 | flow->set(e, (*capacity)[e]); |
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462 | excess.set(w, excess[w]+rem); |
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463 | } |
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464 | } |
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465 | |
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466 | InEdgeIt f; |
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467 | for(g->first(f,s); g->valid(f); g->next(f)) |
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468 | { |
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469 | if ( (*flow)[f] <= 0 ) continue; |
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470 | Node w=g->tail(f); |
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471 | if ( level[w] < n ) { |
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472 | if ( excess[w] <= 0 && w!=t ) active[level[w]].push(w); |
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473 | excess.set(w, excess[w]+(*flow)[f]); |
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474 | flow->set(f, 0); |
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475 | } |
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476 | } |
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477 | break; |
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478 | } //case PREFLOW |
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479 | } |
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480 | } //preflowPreproc |
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481 | |
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482 | |
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483 | |
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484 | void relabel(Node w, int newlevel, VecStack& active, |
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485 | VecNode& level_list, NNMap& left, |
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486 | NNMap& right, int& b, int& k, bool what_heur ) |
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487 | { |
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488 | |
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489 | Num lev=level[w]; |
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490 | |
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491 | Node right_n=right[w]; |
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492 | Node left_n=left[w]; |
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493 | |
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494 | //unlacing starts |
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495 | if ( g->valid(right_n) ) { |
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496 | if ( g->valid(left_n) ) { |
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497 | right.set(left_n, right_n); |
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498 | left.set(right_n, left_n); |
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499 | } else { |
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500 | level_list[lev]=right_n; |
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501 | left.set(right_n, INVALID); |
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502 | } |
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503 | } else { |
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504 | if ( g->valid(left_n) ) { |
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505 | right.set(left_n, INVALID); |
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506 | } else { |
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507 | level_list[lev]=INVALID; |
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508 | } |
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509 | } |
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510 | //unlacing ends |
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511 | |
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512 | if ( !g->valid(level_list[lev]) ) { |
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513 | |
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514 | //gapping starts |
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515 | for (int i=lev; i!=k ; ) { |
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516 | Node v=level_list[++i]; |
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517 | while ( g->valid(v) ) { |
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518 | level.set(v,n); |
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519 | v=right[v]; |
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520 | } |
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521 | level_list[i]=INVALID; |
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522 | if ( !what_heur ) { |
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523 | while ( !active[i].empty() ) { |
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524 | active[i].pop(); //FIXME: ezt szebben kene |
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525 | } |
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526 | } |
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527 | } |
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528 | |
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529 | level.set(w,n); |
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530 | b=lev-1; |
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531 | k=b; |
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532 | //gapping ends |
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533 | |
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534 | } else { |
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535 | |
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536 | if ( newlevel == n ) level.set(w,n); |
---|
537 | else { |
---|
538 | level.set(w,++newlevel); |
---|
539 | active[newlevel].push(w); |
---|
540 | if ( what_heur ) b=newlevel; |
---|
541 | if ( k < newlevel ) ++k; //now k=newlevel |
---|
542 | Node first=level_list[newlevel]; |
---|
543 | if ( g->valid(first) ) left.set(first,w); |
---|
544 | right.set(w,first); |
---|
545 | left.set(w,INVALID); |
---|
546 | level_list[newlevel]=w; |
---|
547 | } |
---|
548 | } |
---|
549 | |
---|
550 | } //relabel |
---|
551 | |
---|
552 | |
---|
553 | template<typename MapGraphWrapper> |
---|
554 | class DistanceMap { |
---|
555 | protected: |
---|
556 | const MapGraphWrapper* g; |
---|
557 | typename MapGraphWrapper::template NodeMap<int> dist; |
---|
558 | public: |
---|
559 | DistanceMap(MapGraphWrapper& _g) : g(&_g), dist(*g, g->nodeNum()) { } |
---|
560 | void set(const typename MapGraphWrapper::Node& n, int a) { |
---|
561 | dist.set(n, a); |
---|
562 | } |
---|
563 | int operator[](const typename MapGraphWrapper::Node& n) |
---|
564 | { return dist[n]; } |
---|
565 | // int get(const typename MapGraphWrapper::Node& n) const { |
---|
566 | // return dist[n]; } |
---|
567 | // bool get(const typename MapGraphWrapper::Edge& e) const { |
---|
568 | // return (dist.get(g->tail(e))<dist.get(g->head(e))); } |
---|
569 | bool operator[](const typename MapGraphWrapper::Edge& e) const { |
---|
570 | return (dist[g->tail(e)]<dist[g->head(e)]); |
---|
571 | } |
---|
572 | }; |
---|
573 | |
---|
574 | }; |
---|
575 | |
---|
576 | |
---|
577 | template <typename Graph, typename Num, typename CapMap, typename FlowMap> |
---|
578 | void MaxFlow<Graph, Num, CapMap, FlowMap>::preflowPhase0( flowEnum fe ) |
---|
579 | { |
---|
580 | |
---|
581 | int heur0=(int)(H0*n); //time while running 'bound decrease' |
---|
582 | int heur1=(int)(H1*n); //time while running 'highest label' |
---|
583 | int heur=heur1; //starting time interval (#of relabels) |
---|
584 | int numrelabel=0; |
---|
585 | |
---|
586 | bool what_heur=1; |
---|
587 | //It is 0 in case 'bound decrease' and 1 in case 'highest label' |
---|
588 | |
---|
589 | bool end=false; |
---|
590 | //Needed for 'bound decrease', true means no active nodes are above bound b. |
---|
591 | |
---|
592 | int k=n-2; //bound on the highest level under n containing a node |
---|
593 | int b=k; //bound on the highest level under n of an active node |
---|
594 | |
---|
595 | VecStack active(n); |
---|
596 | |
---|
597 | NNMap left(*g, INVALID); |
---|
598 | NNMap right(*g, INVALID); |
---|
599 | VecNode level_list(n,INVALID); |
---|
600 | //List of the nodes in level i<n, set to n. |
---|
601 | |
---|
602 | NodeIt v; |
---|
603 | for(g->first(v); g->valid(v); g->next(v)) level.set(v,n); |
---|
604 | //setting each node to level n |
---|
605 | |
---|
606 | switch ( fe ) { |
---|
607 | case PREFLOW: |
---|
608 | { |
---|
609 | //counting the excess |
---|
610 | NodeIt v; |
---|
611 | for(g->first(v); g->valid(v); g->next(v)) { |
---|
612 | Num exc=0; |
---|
613 | |
---|
614 | InEdgeIt e; |
---|
615 | for(g->first(e,v); g->valid(e); g->next(e)) exc+=(*flow)[e]; |
---|
616 | OutEdgeIt f; |
---|
617 | for(g->first(f,v); g->valid(f); g->next(f)) exc-=(*flow)[f]; |
---|
618 | |
---|
619 | excess.set(v,exc); |
---|
620 | |
---|
621 | //putting the active nodes into the stack |
---|
622 | int lev=level[v]; |
---|
623 | if ( exc > 0 && lev < n && v != t ) active[lev].push(v); |
---|
624 | } |
---|
625 | break; |
---|
626 | } |
---|
627 | case GEN_FLOW: |
---|
628 | { |
---|
629 | //Counting the excess of t |
---|
630 | Num exc=0; |
---|
631 | |
---|
632 | InEdgeIt e; |
---|
633 | for(g->first(e,t); g->valid(e); g->next(e)) exc+=(*flow)[e]; |
---|
634 | OutEdgeIt f; |
---|
635 | for(g->first(f,t); g->valid(f); g->next(f)) exc-=(*flow)[f]; |
---|
636 | |
---|
637 | excess.set(t,exc); |
---|
638 | |
---|
639 | break; |
---|
640 | } |
---|
641 | default: |
---|
642 | break; |
---|
643 | } |
---|
644 | |
---|
645 | preflowPreproc( fe, active, level_list, left, right ); |
---|
646 | //End of preprocessing |
---|
647 | |
---|
648 | |
---|
649 | //Push/relabel on the highest level active nodes. |
---|
650 | while ( true ) { |
---|
651 | if ( b == 0 ) { |
---|
652 | if ( !what_heur && !end && k > 0 ) { |
---|
653 | b=k; |
---|
654 | end=true; |
---|
655 | } else break; |
---|
656 | } |
---|
657 | |
---|
658 | if ( active[b].empty() ) --b; |
---|
659 | else { |
---|
660 | end=false; |
---|
661 | Node w=active[b].top(); |
---|
662 | active[b].pop(); |
---|
663 | int newlevel=push(w,active); |
---|
664 | if ( excess[w] > 0 ) relabel(w, newlevel, active, level_list, |
---|
665 | left, right, b, k, what_heur); |
---|
666 | |
---|
667 | ++numrelabel; |
---|
668 | if ( numrelabel >= heur ) { |
---|
669 | numrelabel=0; |
---|
670 | if ( what_heur ) { |
---|
671 | what_heur=0; |
---|
672 | heur=heur0; |
---|
673 | end=false; |
---|
674 | } else { |
---|
675 | what_heur=1; |
---|
676 | heur=heur1; |
---|
677 | b=k; |
---|
678 | } |
---|
679 | } |
---|
680 | } |
---|
681 | } |
---|
682 | } |
---|
683 | |
---|
684 | |
---|
685 | |
---|
686 | template <typename Graph, typename Num, typename CapMap, typename FlowMap> |
---|
687 | void MaxFlow<Graph, Num, CapMap, FlowMap>::preflowPhase1() |
---|
688 | { |
---|
689 | |
---|
690 | int k=n-2; //bound on the highest level under n containing a node |
---|
691 | int b=k; //bound on the highest level under n of an active node |
---|
692 | |
---|
693 | VecStack active(n); |
---|
694 | level.set(s,0); |
---|
695 | std::queue<Node> bfs_queue; |
---|
696 | bfs_queue.push(s); |
---|
697 | |
---|
698 | while (!bfs_queue.empty()) { |
---|
699 | |
---|
700 | Node v=bfs_queue.front(); |
---|
701 | bfs_queue.pop(); |
---|
702 | int l=level[v]+1; |
---|
703 | |
---|
704 | InEdgeIt e; |
---|
705 | for(g->first(e,v); g->valid(e); g->next(e)) { |
---|
706 | if ( (*capacity)[e] <= (*flow)[e] ) continue; |
---|
707 | Node u=g->tail(e); |
---|
708 | if ( level[u] >= n ) { |
---|
709 | bfs_queue.push(u); |
---|
710 | level.set(u, l); |
---|
711 | if ( excess[u] > 0 ) active[l].push(u); |
---|
712 | } |
---|
713 | } |
---|
714 | |
---|
715 | OutEdgeIt f; |
---|
716 | for(g->first(f,v); g->valid(f); g->next(f)) { |
---|
717 | if ( 0 >= (*flow)[f] ) continue; |
---|
718 | Node u=g->head(f); |
---|
719 | if ( level[u] >= n ) { |
---|
720 | bfs_queue.push(u); |
---|
721 | level.set(u, l); |
---|
722 | if ( excess[u] > 0 ) active[l].push(u); |
---|
723 | } |
---|
724 | } |
---|
725 | } |
---|
726 | b=n-2; |
---|
727 | |
---|
728 | while ( true ) { |
---|
729 | |
---|
730 | if ( b == 0 ) break; |
---|
731 | |
---|
732 | if ( active[b].empty() ) --b; |
---|
733 | else { |
---|
734 | Node w=active[b].top(); |
---|
735 | active[b].pop(); |
---|
736 | int newlevel=push(w,active); |
---|
737 | |
---|
738 | //relabel |
---|
739 | if ( excess[w] > 0 ) { |
---|
740 | level.set(w,++newlevel); |
---|
741 | active[newlevel].push(w); |
---|
742 | b=newlevel; |
---|
743 | } |
---|
744 | } // if stack[b] is nonempty |
---|
745 | } // while(true) |
---|
746 | } |
---|
747 | |
---|
748 | |
---|
749 | |
---|
750 | template <typename Graph, typename Num, typename CapMap, typename FlowMap> |
---|
751 | bool MaxFlow<Graph, Num, CapMap, FlowMap>::augmentOnShortestPath() |
---|
752 | { |
---|
753 | ResGW res_graph(*g, *capacity, *flow); |
---|
754 | bool _augment=false; |
---|
755 | |
---|
756 | //ReachedMap level(res_graph); |
---|
757 | FOR_EACH_LOC(typename Graph::NodeIt, e, *g) level.set(e, 0); |
---|
758 | BfsIterator<ResGW, ReachedMap> bfs(res_graph, level); |
---|
759 | bfs.pushAndSetReached(s); |
---|
760 | |
---|
761 | typename ResGW::template NodeMap<ResGWEdge> pred(res_graph); |
---|
762 | pred.set(s, INVALID); |
---|
763 | |
---|
764 | typename ResGW::template NodeMap<Num> free(res_graph); |
---|
765 | |
---|
766 | //searching for augmenting path |
---|
767 | while ( !bfs.finished() ) { |
---|
768 | ResGWOutEdgeIt e=bfs; |
---|
769 | if (res_graph.valid(e) && bfs.isBNodeNewlyReached()) { |
---|
770 | Node v=res_graph.tail(e); |
---|
771 | Node w=res_graph.head(e); |
---|
772 | pred.set(w, e); |
---|
773 | if (res_graph.valid(pred[v])) { |
---|
774 | free.set(w, std::min(free[v], res_graph.resCap(e))); |
---|
775 | } else { |
---|
776 | free.set(w, res_graph.resCap(e)); |
---|
777 | } |
---|
778 | if (res_graph.head(e)==t) { _augment=true; break; } |
---|
779 | } |
---|
780 | |
---|
781 | ++bfs; |
---|
782 | } //end of searching augmenting path |
---|
783 | |
---|
784 | if (_augment) { |
---|
785 | Node n=t; |
---|
786 | Num augment_value=free[t]; |
---|
787 | while (res_graph.valid(pred[n])) { |
---|
788 | ResGWEdge e=pred[n]; |
---|
789 | res_graph.augment(e, augment_value); |
---|
790 | n=res_graph.tail(e); |
---|
791 | } |
---|
792 | } |
---|
793 | |
---|
794 | return _augment; |
---|
795 | } |
---|
796 | |
---|
797 | |
---|
798 | |
---|
799 | |
---|
800 | |
---|
801 | |
---|
802 | |
---|
803 | |
---|
804 | |
---|
805 | template <typename Graph, typename Num, typename CapMap, typename FlowMap> |
---|
806 | template<typename MutableGraph> |
---|
807 | bool MaxFlow<Graph, Num, CapMap, FlowMap>::augmentOnBlockingFlow() |
---|
808 | { |
---|
809 | typedef MutableGraph MG; |
---|
810 | bool _augment=false; |
---|
811 | |
---|
812 | ResGW res_graph(*g, *capacity, *flow); |
---|
813 | |
---|
814 | //bfs for distances on the residual graph |
---|
815 | //ReachedMap level(res_graph); |
---|
816 | FOR_EACH_LOC(typename Graph::NodeIt, e, *g) level.set(e, 0); |
---|
817 | BfsIterator<ResGW, ReachedMap> bfs(res_graph, level); |
---|
818 | bfs.pushAndSetReached(s); |
---|
819 | typename ResGW::template NodeMap<int> |
---|
820 | dist(res_graph); //filled up with 0's |
---|
821 | |
---|
822 | //F will contain the physical copy of the residual graph |
---|
823 | //with the set of edges which are on shortest paths |
---|
824 | MG F; |
---|
825 | typename ResGW::template NodeMap<typename MG::Node> |
---|
826 | res_graph_to_F(res_graph); |
---|
827 | { |
---|
828 | typename ResGW::NodeIt n; |
---|
829 | for(res_graph.first(n); res_graph.valid(n); res_graph.next(n)) { |
---|
830 | res_graph_to_F.set(n, F.addNode()); |
---|
831 | } |
---|
832 | } |
---|
833 | |
---|
834 | typename MG::Node sF=res_graph_to_F[s]; |
---|
835 | typename MG::Node tF=res_graph_to_F[t]; |
---|
836 | typename MG::template EdgeMap<ResGWEdge> original_edge(F); |
---|
837 | typename MG::template EdgeMap<Num> residual_capacity(F); |
---|
838 | |
---|
839 | while ( !bfs.finished() ) { |
---|
840 | ResGWOutEdgeIt e=bfs; |
---|
841 | if (res_graph.valid(e)) { |
---|
842 | if (bfs.isBNodeNewlyReached()) { |
---|
843 | dist.set(res_graph.head(e), dist[res_graph.tail(e)]+1); |
---|
844 | typename MG::Edge f=F.addEdge(res_graph_to_F[res_graph.tail(e)], res_graph_to_F[res_graph.head(e)]); |
---|
845 | original_edge.update(); |
---|
846 | original_edge.set(f, e); |
---|
847 | residual_capacity.update(); |
---|
848 | residual_capacity.set(f, res_graph.resCap(e)); |
---|
849 | } else { |
---|
850 | if (dist[res_graph.head(e)]==(dist[res_graph.tail(e)]+1)) { |
---|
851 | typename MG::Edge f=F.addEdge(res_graph_to_F[res_graph.tail(e)], res_graph_to_F[res_graph.head(e)]); |
---|
852 | original_edge.update(); |
---|
853 | original_edge.set(f, e); |
---|
854 | residual_capacity.update(); |
---|
855 | residual_capacity.set(f, res_graph.resCap(e)); |
---|
856 | } |
---|
857 | } |
---|
858 | } |
---|
859 | ++bfs; |
---|
860 | } //computing distances from s in the residual graph |
---|
861 | |
---|
862 | bool __augment=true; |
---|
863 | |
---|
864 | while (__augment) { |
---|
865 | __augment=false; |
---|
866 | //computing blocking flow with dfs |
---|
867 | DfsIterator< MG, typename MG::template NodeMap<bool> > dfs(F); |
---|
868 | typename MG::template NodeMap<typename MG::Edge> pred(F); |
---|
869 | pred.set(sF, INVALID); |
---|
870 | //invalid iterators for sources |
---|
871 | |
---|
872 | typename MG::template NodeMap<Num> free(F); |
---|
873 | |
---|
874 | dfs.pushAndSetReached(sF); |
---|
875 | while (!dfs.finished()) { |
---|
876 | ++dfs; |
---|
877 | if (F.valid(/*typename MG::OutEdgeIt*/(dfs))) { |
---|
878 | if (dfs.isBNodeNewlyReached()) { |
---|
879 | typename MG::Node v=F.aNode(dfs); |
---|
880 | typename MG::Node w=F.bNode(dfs); |
---|
881 | pred.set(w, dfs); |
---|
882 | if (F.valid(pred[v])) { |
---|
883 | free.set(w, std::min(free[v], residual_capacity[dfs])); |
---|
884 | } else { |
---|
885 | free.set(w, residual_capacity[dfs]); |
---|
886 | } |
---|
887 | if (w==tF) { |
---|
888 | __augment=true; |
---|
889 | _augment=true; |
---|
890 | break; |
---|
891 | } |
---|
892 | |
---|
893 | } else { |
---|
894 | F.erase(/*typename MG::OutEdgeIt*/(dfs)); |
---|
895 | } |
---|
896 | } |
---|
897 | } |
---|
898 | |
---|
899 | if (__augment) { |
---|
900 | typename MG::Node n=tF; |
---|
901 | Num augment_value=free[tF]; |
---|
902 | while (F.valid(pred[n])) { |
---|
903 | typename MG::Edge e=pred[n]; |
---|
904 | res_graph.augment(original_edge[e], augment_value); |
---|
905 | n=F.tail(e); |
---|
906 | if (residual_capacity[e]==augment_value) |
---|
907 | F.erase(e); |
---|
908 | else |
---|
909 | residual_capacity.set(e, residual_capacity[e]-augment_value); |
---|
910 | } |
---|
911 | } |
---|
912 | |
---|
913 | } |
---|
914 | |
---|
915 | return _augment; |
---|
916 | } |
---|
917 | |
---|
918 | |
---|
919 | |
---|
920 | |
---|
921 | |
---|
922 | |
---|
923 | template <typename Graph, typename Num, typename CapMap, typename FlowMap> |
---|
924 | bool MaxFlow<Graph, Num, CapMap, FlowMap>::augmentOnBlockingFlow2() |
---|
925 | { |
---|
926 | bool _augment=false; |
---|
927 | |
---|
928 | ResGW res_graph(*g, *capacity, *flow); |
---|
929 | |
---|
930 | //ReachedMap level(res_graph); |
---|
931 | FOR_EACH_LOC(typename Graph::NodeIt, e, *g) level.set(e, 0); |
---|
932 | BfsIterator<ResGW, ReachedMap> bfs(res_graph, level); |
---|
933 | |
---|
934 | bfs.pushAndSetReached(s); |
---|
935 | DistanceMap<ResGW> dist(res_graph); |
---|
936 | while ( !bfs.finished() ) { |
---|
937 | ResGWOutEdgeIt e=bfs; |
---|
938 | if (res_graph.valid(e) && bfs.isBNodeNewlyReached()) { |
---|
939 | dist.set(res_graph.head(e), dist[res_graph.tail(e)]+1); |
---|
940 | } |
---|
941 | ++bfs; |
---|
942 | } //computing distances from s in the residual graph |
---|
943 | |
---|
944 | //Subgraph containing the edges on some shortest paths |
---|
945 | ConstMap<typename ResGW::Node, bool> true_map(true); |
---|
946 | typedef SubGraphWrapper<ResGW, ConstMap<typename ResGW::Node, bool>, |
---|
947 | DistanceMap<ResGW> > FilterResGW; |
---|
948 | FilterResGW filter_res_graph(res_graph, true_map, dist); |
---|
949 | |
---|
950 | //Subgraph, which is able to delete edges which are already |
---|
951 | //met by the dfs |
---|
952 | typename FilterResGW::template NodeMap<typename FilterResGW::OutEdgeIt> |
---|
953 | first_out_edges(filter_res_graph); |
---|
954 | typename FilterResGW::NodeIt v; |
---|
955 | for(filter_res_graph.first(v); filter_res_graph.valid(v); |
---|
956 | filter_res_graph.next(v)) |
---|
957 | { |
---|
958 | typename FilterResGW::OutEdgeIt e; |
---|
959 | filter_res_graph.first(e, v); |
---|
960 | first_out_edges.set(v, e); |
---|
961 | } |
---|
962 | typedef ErasingFirstGraphWrapper<FilterResGW, typename FilterResGW:: |
---|
963 | template NodeMap<typename FilterResGW::OutEdgeIt> > ErasingResGW; |
---|
964 | ErasingResGW erasing_res_graph(filter_res_graph, first_out_edges); |
---|
965 | |
---|
966 | bool __augment=true; |
---|
967 | |
---|
968 | while (__augment) { |
---|
969 | |
---|
970 | __augment=false; |
---|
971 | //computing blocking flow with dfs |
---|
972 | DfsIterator< ErasingResGW, |
---|
973 | typename ErasingResGW::template NodeMap<bool> > |
---|
974 | dfs(erasing_res_graph); |
---|
975 | typename ErasingResGW:: |
---|
976 | template NodeMap<typename ErasingResGW::OutEdgeIt> |
---|
977 | pred(erasing_res_graph); |
---|
978 | pred.set(s, INVALID); |
---|
979 | //invalid iterators for sources |
---|
980 | |
---|
981 | typename ErasingResGW::template NodeMap<Num> |
---|
982 | free1(erasing_res_graph); |
---|
983 | |
---|
984 | dfs.pushAndSetReached( |
---|
985 | typename ErasingResGW::Node( |
---|
986 | typename FilterResGW::Node( |
---|
987 | typename ResGW::Node(s) |
---|
988 | ) |
---|
989 | ) |
---|
990 | ); |
---|
991 | while (!dfs.finished()) { |
---|
992 | ++dfs; |
---|
993 | if (erasing_res_graph.valid( |
---|
994 | typename ErasingResGW::OutEdgeIt(dfs))) |
---|
995 | { |
---|
996 | if (dfs.isBNodeNewlyReached()) { |
---|
997 | |
---|
998 | typename ErasingResGW::Node v=erasing_res_graph.aNode(dfs); |
---|
999 | typename ErasingResGW::Node w=erasing_res_graph.bNode(dfs); |
---|
1000 | |
---|
1001 | pred.set(w, /*typename ErasingResGW::OutEdgeIt*/(dfs)); |
---|
1002 | if (erasing_res_graph.valid(pred[v])) { |
---|
1003 | free1.set(w, std::min(free1[v], res_graph.resCap( |
---|
1004 | typename ErasingResGW::OutEdgeIt(dfs)))); |
---|
1005 | } else { |
---|
1006 | free1.set(w, res_graph.resCap( |
---|
1007 | typename ErasingResGW::OutEdgeIt(dfs))); |
---|
1008 | } |
---|
1009 | |
---|
1010 | if (w==t) { |
---|
1011 | __augment=true; |
---|
1012 | _augment=true; |
---|
1013 | break; |
---|
1014 | } |
---|
1015 | } else { |
---|
1016 | erasing_res_graph.erase(dfs); |
---|
1017 | } |
---|
1018 | } |
---|
1019 | } |
---|
1020 | |
---|
1021 | if (__augment) { |
---|
1022 | typename ErasingResGW::Node n=typename FilterResGW::Node(typename ResGW::Node(t)); |
---|
1023 | // typename ResGW::NodeMap<Num> a(res_graph); |
---|
1024 | // typename ResGW::Node b; |
---|
1025 | // Num j=a[b]; |
---|
1026 | // typename FilterResGW::NodeMap<Num> a1(filter_res_graph); |
---|
1027 | // typename FilterResGW::Node b1; |
---|
1028 | // Num j1=a1[b1]; |
---|
1029 | // typename ErasingResGW::NodeMap<Num> a2(erasing_res_graph); |
---|
1030 | // typename ErasingResGW::Node b2; |
---|
1031 | // Num j2=a2[b2]; |
---|
1032 | Num augment_value=free1[n]; |
---|
1033 | while (erasing_res_graph.valid(pred[n])) { |
---|
1034 | typename ErasingResGW::OutEdgeIt e=pred[n]; |
---|
1035 | res_graph.augment(e, augment_value); |
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1036 | n=erasing_res_graph.tail(e); |
---|
1037 | if (res_graph.resCap(e)==0) |
---|
1038 | erasing_res_graph.erase(e); |
---|
1039 | } |
---|
1040 | } |
---|
1041 | |
---|
1042 | } //while (__augment) |
---|
1043 | |
---|
1044 | return _augment; |
---|
1045 | } |
---|
1046 | |
---|
1047 | |
---|
1048 | |
---|
1049 | |
---|
1050 | } //namespace hugo |
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1051 | |
---|
1052 | #endif //HUGO_MAX_FLOW_H |
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1053 | |
---|
1054 | |
---|
1055 | |
---|
1056 | |
---|