1 | /* -*- mode: C++; indent-tabs-mode: nil; -*- |
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2 | * |
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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) 2003-2009 |
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6 | * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport |
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7 | * (Egervary Research Group on Combinatorial Optimization, EGRES). |
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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_HAO_ORLIN_H |
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20 | #define LEMON_HAO_ORLIN_H |
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21 | |
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22 | #include <vector> |
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23 | #include <list> |
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24 | #include <limits> |
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25 | |
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26 | #include <lemon/maps.h> |
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27 | #include <lemon/core.h> |
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28 | #include <lemon/tolerance.h> |
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29 | |
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30 | /// \file |
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31 | /// \ingroup min_cut |
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32 | /// \brief Implementation of the Hao-Orlin algorithm. |
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33 | /// |
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34 | /// Implementation of the Hao-Orlin algorithm for finding a minimum cut |
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35 | /// in a digraph. |
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36 | |
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37 | namespace lemon { |
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38 | |
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39 | /// \ingroup min_cut |
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40 | /// |
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41 | /// \brief Hao-Orlin algorithm for finding a minimum cut in a digraph. |
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42 | /// |
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43 | /// This class implements the Hao-Orlin algorithm for finding a minimum |
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44 | /// value cut in a directed graph \f$D=(V,A)\f$. |
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45 | /// It takes a fixed node \f$ source \in V \f$ and |
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46 | /// consists of two phases: in the first phase it determines a |
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47 | /// minimum cut with \f$ source \f$ on the source-side (i.e. a set |
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48 | /// \f$ X\subsetneq V \f$ with \f$ source \in X \f$ and minimal outgoing |
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49 | /// capacity) and in the second phase it determines a minimum cut |
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50 | /// with \f$ source \f$ on the sink-side (i.e. a set |
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51 | /// \f$ X\subsetneq V \f$ with \f$ source \notin X \f$ and minimal outgoing |
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52 | /// capacity). Obviously, the smaller of these two cuts will be a |
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53 | /// minimum cut of \f$ D \f$. The algorithm is a modified |
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54 | /// preflow push-relabel algorithm. Our implementation calculates |
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55 | /// the minimum cut in \f$ O(n^2\sqrt{m}) \f$ time (we use the |
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56 | /// highest-label rule), or in \f$O(nm)\f$ for unit capacities. The |
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57 | /// purpose of such algorithm is e.g. testing network reliability. |
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58 | /// |
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59 | /// For an undirected graph you can run just the first phase of the |
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60 | /// algorithm or you can use the algorithm of Nagamochi and Ibaraki, |
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61 | /// which solves the undirected problem in \f$ O(nm + n^2 \log n) \f$ |
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62 | /// time. It is implemented in the NagamochiIbaraki algorithm class. |
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63 | /// |
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64 | /// \tparam GR The type of the digraph the algorithm runs on. |
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65 | /// \tparam CAP The type of the arc map containing the capacities, |
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66 | /// which can be any numreric type. The default map type is |
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67 | /// \ref concepts::Digraph::ArcMap "GR::ArcMap<int>". |
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68 | /// \tparam TOL Tolerance class for handling inexact computations. The |
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69 | /// default tolerance type is \ref Tolerance "Tolerance<CAP::Value>". |
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70 | #ifdef DOXYGEN |
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71 | template <typename GR, typename CAP, typename TOL> |
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72 | #else |
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73 | template <typename GR, |
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74 | typename CAP = typename GR::template ArcMap<int>, |
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75 | typename TOL = Tolerance<typename CAP::Value> > |
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76 | #endif |
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77 | class HaoOrlin { |
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78 | public: |
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79 | |
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80 | /// The digraph type of the algorithm |
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81 | typedef GR Digraph; |
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82 | /// The capacity map type of the algorithm |
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83 | typedef CAP CapacityMap; |
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84 | /// The tolerance type of the algorithm |
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85 | typedef TOL Tolerance; |
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86 | |
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87 | private: |
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88 | |
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89 | typedef typename CapacityMap::Value Value; |
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90 | |
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91 | TEMPLATE_DIGRAPH_TYPEDEFS(Digraph); |
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92 | |
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93 | const Digraph& _graph; |
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94 | const CapacityMap* _capacity; |
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95 | |
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96 | typedef typename Digraph::template ArcMap<Value> FlowMap; |
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97 | FlowMap* _flow; |
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98 | |
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99 | Node _source; |
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100 | |
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101 | int _node_num; |
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102 | |
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103 | // Bucketing structure |
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104 | std::vector<Node> _first, _last; |
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105 | typename Digraph::template NodeMap<Node>* _next; |
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106 | typename Digraph::template NodeMap<Node>* _prev; |
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107 | typename Digraph::template NodeMap<bool>* _active; |
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108 | typename Digraph::template NodeMap<int>* _bucket; |
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109 | |
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110 | std::vector<bool> _dormant; |
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111 | |
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112 | std::list<std::list<int> > _sets; |
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113 | std::list<int>::iterator _highest; |
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114 | |
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115 | typedef typename Digraph::template NodeMap<Value> ExcessMap; |
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116 | ExcessMap* _excess; |
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117 | |
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118 | typedef typename Digraph::template NodeMap<bool> SourceSetMap; |
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119 | SourceSetMap* _source_set; |
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120 | |
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121 | Value _min_cut; |
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122 | |
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123 | typedef typename Digraph::template NodeMap<bool> MinCutMap; |
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124 | MinCutMap* _min_cut_map; |
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125 | |
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126 | Tolerance _tolerance; |
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127 | |
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128 | public: |
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129 | |
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130 | /// \brief Constructor |
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131 | /// |
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132 | /// Constructor of the algorithm class. |
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133 | HaoOrlin(const Digraph& graph, const CapacityMap& capacity, |
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134 | const Tolerance& tolerance = Tolerance()) : |
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135 | _graph(graph), _capacity(&capacity), _flow(0), _source(), |
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136 | _node_num(), _first(), _last(), _next(0), _prev(0), |
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137 | _active(0), _bucket(0), _dormant(), _sets(), _highest(), |
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138 | _excess(0), _source_set(0), _min_cut(), _min_cut_map(0), |
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139 | _tolerance(tolerance) {} |
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140 | |
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141 | ~HaoOrlin() { |
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142 | if (_min_cut_map) { |
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143 | delete _min_cut_map; |
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144 | } |
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145 | if (_source_set) { |
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146 | delete _source_set; |
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147 | } |
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148 | if (_excess) { |
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149 | delete _excess; |
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150 | } |
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151 | if (_next) { |
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152 | delete _next; |
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153 | } |
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154 | if (_prev) { |
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155 | delete _prev; |
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156 | } |
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157 | if (_active) { |
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158 | delete _active; |
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159 | } |
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160 | if (_bucket) { |
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161 | delete _bucket; |
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162 | } |
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163 | if (_flow) { |
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164 | delete _flow; |
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165 | } |
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166 | } |
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167 | |
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168 | private: |
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169 | |
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170 | void activate(const Node& i) { |
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171 | (*_active)[i] = true; |
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172 | |
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173 | int bucket = (*_bucket)[i]; |
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174 | |
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175 | if ((*_prev)[i] == INVALID || (*_active)[(*_prev)[i]]) return; |
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176 | //unlace |
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177 | (*_next)[(*_prev)[i]] = (*_next)[i]; |
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178 | if ((*_next)[i] != INVALID) { |
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179 | (*_prev)[(*_next)[i]] = (*_prev)[i]; |
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180 | } else { |
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181 | _last[bucket] = (*_prev)[i]; |
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182 | } |
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183 | //lace |
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184 | (*_next)[i] = _first[bucket]; |
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185 | (*_prev)[_first[bucket]] = i; |
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186 | (*_prev)[i] = INVALID; |
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187 | _first[bucket] = i; |
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188 | } |
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189 | |
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190 | void deactivate(const Node& i) { |
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191 | (*_active)[i] = false; |
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192 | int bucket = (*_bucket)[i]; |
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193 | |
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194 | if ((*_next)[i] == INVALID || !(*_active)[(*_next)[i]]) return; |
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195 | |
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196 | //unlace |
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197 | (*_prev)[(*_next)[i]] = (*_prev)[i]; |
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198 | if ((*_prev)[i] != INVALID) { |
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199 | (*_next)[(*_prev)[i]] = (*_next)[i]; |
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200 | } else { |
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201 | _first[bucket] = (*_next)[i]; |
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202 | } |
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203 | //lace |
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204 | (*_prev)[i] = _last[bucket]; |
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205 | (*_next)[_last[bucket]] = i; |
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206 | (*_next)[i] = INVALID; |
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207 | _last[bucket] = i; |
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208 | } |
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209 | |
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210 | void addItem(const Node& i, int bucket) { |
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211 | (*_bucket)[i] = bucket; |
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212 | if (_last[bucket] != INVALID) { |
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213 | (*_prev)[i] = _last[bucket]; |
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214 | (*_next)[_last[bucket]] = i; |
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215 | (*_next)[i] = INVALID; |
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216 | _last[bucket] = i; |
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217 | } else { |
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218 | (*_prev)[i] = INVALID; |
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219 | _first[bucket] = i; |
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220 | (*_next)[i] = INVALID; |
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221 | _last[bucket] = i; |
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222 | } |
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223 | } |
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224 | |
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225 | void findMinCutOut() { |
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226 | |
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227 | for (NodeIt n(_graph); n != INVALID; ++n) { |
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228 | (*_excess)[n] = 0; |
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229 | } |
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230 | |
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231 | for (ArcIt a(_graph); a != INVALID; ++a) { |
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232 | (*_flow)[a] = 0; |
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233 | } |
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234 | |
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235 | int bucket_num = 0; |
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236 | std::vector<Node> queue(_node_num); |
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237 | int qfirst = 0, qlast = 0, qsep = 0; |
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238 | |
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239 | { |
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240 | typename Digraph::template NodeMap<bool> reached(_graph, false); |
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241 | |
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242 | reached[_source] = true; |
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243 | bool first_set = true; |
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244 | |
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245 | for (NodeIt t(_graph); t != INVALID; ++t) { |
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246 | if (reached[t]) continue; |
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247 | _sets.push_front(std::list<int>()); |
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248 | |
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249 | queue[qlast++] = t; |
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250 | reached[t] = true; |
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251 | |
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252 | while (qfirst != qlast) { |
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253 | if (qsep == qfirst) { |
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254 | ++bucket_num; |
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255 | _sets.front().push_front(bucket_num); |
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256 | _dormant[bucket_num] = !first_set; |
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257 | _first[bucket_num] = _last[bucket_num] = INVALID; |
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258 | qsep = qlast; |
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259 | } |
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260 | |
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261 | Node n = queue[qfirst++]; |
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262 | addItem(n, bucket_num); |
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263 | |
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264 | for (InArcIt a(_graph, n); a != INVALID; ++a) { |
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265 | Node u = _graph.source(a); |
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266 | if (!reached[u] && _tolerance.positive((*_capacity)[a])) { |
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267 | reached[u] = true; |
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268 | queue[qlast++] = u; |
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269 | } |
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270 | } |
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271 | } |
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272 | first_set = false; |
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273 | } |
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274 | |
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275 | ++bucket_num; |
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276 | (*_bucket)[_source] = 0; |
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277 | _dormant[0] = true; |
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278 | } |
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279 | (*_source_set)[_source] = true; |
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280 | |
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281 | Node target = _last[_sets.back().back()]; |
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282 | { |
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283 | for (OutArcIt a(_graph, _source); a != INVALID; ++a) { |
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284 | if (_tolerance.positive((*_capacity)[a])) { |
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285 | Node u = _graph.target(a); |
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286 | (*_flow)[a] = (*_capacity)[a]; |
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287 | (*_excess)[u] += (*_capacity)[a]; |
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288 | if (!(*_active)[u] && u != _source) { |
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289 | activate(u); |
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290 | } |
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291 | } |
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292 | } |
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293 | |
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294 | if ((*_active)[target]) { |
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295 | deactivate(target); |
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296 | } |
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297 | |
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298 | _highest = _sets.back().begin(); |
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299 | while (_highest != _sets.back().end() && |
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300 | !(*_active)[_first[*_highest]]) { |
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301 | ++_highest; |
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302 | } |
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303 | } |
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304 | |
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305 | while (true) { |
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306 | while (_highest != _sets.back().end()) { |
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307 | Node n = _first[*_highest]; |
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308 | Value excess = (*_excess)[n]; |
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309 | int next_bucket = _node_num; |
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310 | |
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311 | int under_bucket; |
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312 | if (++std::list<int>::iterator(_highest) == _sets.back().end()) { |
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313 | under_bucket = -1; |
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314 | } else { |
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315 | under_bucket = *(++std::list<int>::iterator(_highest)); |
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316 | } |
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317 | |
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318 | for (OutArcIt a(_graph, n); a != INVALID; ++a) { |
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319 | Node v = _graph.target(a); |
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320 | if (_dormant[(*_bucket)[v]]) continue; |
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321 | Value rem = (*_capacity)[a] - (*_flow)[a]; |
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322 | if (!_tolerance.positive(rem)) continue; |
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323 | if ((*_bucket)[v] == under_bucket) { |
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324 | if (!(*_active)[v] && v != target) { |
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325 | activate(v); |
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326 | } |
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327 | if (!_tolerance.less(rem, excess)) { |
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328 | (*_flow)[a] += excess; |
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329 | (*_excess)[v] += excess; |
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330 | excess = 0; |
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331 | goto no_more_push; |
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332 | } else { |
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333 | excess -= rem; |
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334 | (*_excess)[v] += rem; |
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335 | (*_flow)[a] = (*_capacity)[a]; |
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336 | } |
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337 | } else if (next_bucket > (*_bucket)[v]) { |
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338 | next_bucket = (*_bucket)[v]; |
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339 | } |
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340 | } |
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341 | |
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342 | for (InArcIt a(_graph, n); a != INVALID; ++a) { |
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343 | Node v = _graph.source(a); |
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344 | if (_dormant[(*_bucket)[v]]) continue; |
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345 | Value rem = (*_flow)[a]; |
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346 | if (!_tolerance.positive(rem)) continue; |
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347 | if ((*_bucket)[v] == under_bucket) { |
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348 | if (!(*_active)[v] && v != target) { |
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349 | activate(v); |
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350 | } |
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351 | if (!_tolerance.less(rem, excess)) { |
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352 | (*_flow)[a] -= excess; |
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353 | (*_excess)[v] += excess; |
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354 | excess = 0; |
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355 | goto no_more_push; |
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356 | } else { |
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357 | excess -= rem; |
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358 | (*_excess)[v] += rem; |
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359 | (*_flow)[a] = 0; |
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360 | } |
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361 | } else if (next_bucket > (*_bucket)[v]) { |
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362 | next_bucket = (*_bucket)[v]; |
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363 | } |
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364 | } |
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365 | |
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366 | no_more_push: |
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367 | |
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368 | (*_excess)[n] = excess; |
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369 | |
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370 | if (excess != 0) { |
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371 | if ((*_next)[n] == INVALID) { |
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372 | typename std::list<std::list<int> >::iterator new_set = |
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373 | _sets.insert(--_sets.end(), std::list<int>()); |
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374 | new_set->splice(new_set->end(), _sets.back(), |
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375 | _sets.back().begin(), ++_highest); |
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376 | for (std::list<int>::iterator it = new_set->begin(); |
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377 | it != new_set->end(); ++it) { |
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378 | _dormant[*it] = true; |
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379 | } |
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380 | while (_highest != _sets.back().end() && |
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381 | !(*_active)[_first[*_highest]]) { |
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382 | ++_highest; |
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383 | } |
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384 | } else if (next_bucket == _node_num) { |
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385 | _first[(*_bucket)[n]] = (*_next)[n]; |
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386 | (*_prev)[(*_next)[n]] = INVALID; |
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387 | |
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388 | std::list<std::list<int> >::iterator new_set = |
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389 | _sets.insert(--_sets.end(), std::list<int>()); |
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390 | |
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391 | new_set->push_front(bucket_num); |
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392 | (*_bucket)[n] = bucket_num; |
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393 | _first[bucket_num] = _last[bucket_num] = n; |
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394 | (*_next)[n] = INVALID; |
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395 | (*_prev)[n] = INVALID; |
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396 | _dormant[bucket_num] = true; |
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397 | ++bucket_num; |
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398 | |
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399 | while (_highest != _sets.back().end() && |
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400 | !(*_active)[_first[*_highest]]) { |
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401 | ++_highest; |
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402 | } |
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403 | } else { |
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404 | _first[*_highest] = (*_next)[n]; |
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405 | (*_prev)[(*_next)[n]] = INVALID; |
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406 | |
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407 | while (next_bucket != *_highest) { |
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408 | --_highest; |
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409 | } |
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410 | |
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411 | if (_highest == _sets.back().begin()) { |
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412 | _sets.back().push_front(bucket_num); |
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413 | _dormant[bucket_num] = false; |
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414 | _first[bucket_num] = _last[bucket_num] = INVALID; |
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415 | ++bucket_num; |
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416 | } |
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417 | --_highest; |
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418 | |
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419 | (*_bucket)[n] = *_highest; |
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420 | (*_next)[n] = _first[*_highest]; |
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421 | if (_first[*_highest] != INVALID) { |
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422 | (*_prev)[_first[*_highest]] = n; |
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423 | } else { |
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424 | _last[*_highest] = n; |
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425 | } |
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426 | _first[*_highest] = n; |
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427 | } |
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428 | } else { |
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429 | |
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430 | deactivate(n); |
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431 | if (!(*_active)[_first[*_highest]]) { |
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432 | ++_highest; |
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433 | if (_highest != _sets.back().end() && |
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434 | !(*_active)[_first[*_highest]]) { |
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435 | _highest = _sets.back().end(); |
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436 | } |
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437 | } |
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438 | } |
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439 | } |
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440 | |
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441 | if ((*_excess)[target] < _min_cut) { |
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442 | _min_cut = (*_excess)[target]; |
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443 | for (NodeIt i(_graph); i != INVALID; ++i) { |
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444 | (*_min_cut_map)[i] = true; |
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445 | } |
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446 | for (std::list<int>::iterator it = _sets.back().begin(); |
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447 | it != _sets.back().end(); ++it) { |
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448 | Node n = _first[*it]; |
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449 | while (n != INVALID) { |
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450 | (*_min_cut_map)[n] = false; |
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451 | n = (*_next)[n]; |
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452 | } |
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453 | } |
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454 | } |
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455 | |
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456 | { |
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457 | Node new_target; |
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458 | if ((*_prev)[target] != INVALID || (*_next)[target] != INVALID) { |
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459 | if ((*_next)[target] == INVALID) { |
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460 | _last[(*_bucket)[target]] = (*_prev)[target]; |
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461 | new_target = (*_prev)[target]; |
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462 | } else { |
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463 | (*_prev)[(*_next)[target]] = (*_prev)[target]; |
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464 | new_target = (*_next)[target]; |
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465 | } |
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466 | if ((*_prev)[target] == INVALID) { |
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467 | _first[(*_bucket)[target]] = (*_next)[target]; |
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468 | } else { |
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469 | (*_next)[(*_prev)[target]] = (*_next)[target]; |
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470 | } |
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471 | } else { |
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472 | _sets.back().pop_back(); |
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473 | if (_sets.back().empty()) { |
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474 | _sets.pop_back(); |
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475 | if (_sets.empty()) |
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476 | break; |
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477 | for (std::list<int>::iterator it = _sets.back().begin(); |
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478 | it != _sets.back().end(); ++it) { |
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479 | _dormant[*it] = false; |
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480 | } |
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481 | } |
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482 | new_target = _last[_sets.back().back()]; |
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483 | } |
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484 | |
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485 | (*_bucket)[target] = 0; |
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486 | |
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487 | (*_source_set)[target] = true; |
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488 | for (OutArcIt a(_graph, target); a != INVALID; ++a) { |
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489 | Value rem = (*_capacity)[a] - (*_flow)[a]; |
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490 | if (!_tolerance.positive(rem)) continue; |
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491 | Node v = _graph.target(a); |
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492 | if (!(*_active)[v] && !(*_source_set)[v]) { |
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493 | activate(v); |
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494 | } |
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495 | (*_excess)[v] += rem; |
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496 | (*_flow)[a] = (*_capacity)[a]; |
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497 | } |
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498 | |
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499 | for (InArcIt a(_graph, target); a != INVALID; ++a) { |
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500 | Value rem = (*_flow)[a]; |
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501 | if (!_tolerance.positive(rem)) continue; |
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502 | Node v = _graph.source(a); |
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503 | if (!(*_active)[v] && !(*_source_set)[v]) { |
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504 | activate(v); |
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505 | } |
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506 | (*_excess)[v] += rem; |
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507 | (*_flow)[a] = 0; |
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508 | } |
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509 | |
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510 | target = new_target; |
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511 | if ((*_active)[target]) { |
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512 | deactivate(target); |
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513 | } |
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514 | |
---|
515 | _highest = _sets.back().begin(); |
---|
516 | while (_highest != _sets.back().end() && |
---|
517 | !(*_active)[_first[*_highest]]) { |
---|
518 | ++_highest; |
---|
519 | } |
---|
520 | } |
---|
521 | } |
---|
522 | } |
---|
523 | |
---|
524 | void findMinCutIn() { |
---|
525 | |
---|
526 | for (NodeIt n(_graph); n != INVALID; ++n) { |
---|
527 | (*_excess)[n] = 0; |
---|
528 | } |
---|
529 | |
---|
530 | for (ArcIt a(_graph); a != INVALID; ++a) { |
---|
531 | (*_flow)[a] = 0; |
---|
532 | } |
---|
533 | |
---|
534 | int bucket_num = 0; |
---|
535 | std::vector<Node> queue(_node_num); |
---|
536 | int qfirst = 0, qlast = 0, qsep = 0; |
---|
537 | |
---|
538 | { |
---|
539 | typename Digraph::template NodeMap<bool> reached(_graph, false); |
---|
540 | |
---|
541 | reached[_source] = true; |
---|
542 | |
---|
543 | bool first_set = true; |
---|
544 | |
---|
545 | for (NodeIt t(_graph); t != INVALID; ++t) { |
---|
546 | if (reached[t]) continue; |
---|
547 | _sets.push_front(std::list<int>()); |
---|
548 | |
---|
549 | queue[qlast++] = t; |
---|
550 | reached[t] = true; |
---|
551 | |
---|
552 | while (qfirst != qlast) { |
---|
553 | if (qsep == qfirst) { |
---|
554 | ++bucket_num; |
---|
555 | _sets.front().push_front(bucket_num); |
---|
556 | _dormant[bucket_num] = !first_set; |
---|
557 | _first[bucket_num] = _last[bucket_num] = INVALID; |
---|
558 | qsep = qlast; |
---|
559 | } |
---|
560 | |
---|
561 | Node n = queue[qfirst++]; |
---|
562 | addItem(n, bucket_num); |
---|
563 | |
---|
564 | for (OutArcIt a(_graph, n); a != INVALID; ++a) { |
---|
565 | Node u = _graph.target(a); |
---|
566 | if (!reached[u] && _tolerance.positive((*_capacity)[a])) { |
---|
567 | reached[u] = true; |
---|
568 | queue[qlast++] = u; |
---|
569 | } |
---|
570 | } |
---|
571 | } |
---|
572 | first_set = false; |
---|
573 | } |
---|
574 | |
---|
575 | ++bucket_num; |
---|
576 | (*_bucket)[_source] = 0; |
---|
577 | _dormant[0] = true; |
---|
578 | } |
---|
579 | (*_source_set)[_source] = true; |
---|
580 | |
---|
581 | Node target = _last[_sets.back().back()]; |
---|
582 | { |
---|
583 | for (InArcIt a(_graph, _source); a != INVALID; ++a) { |
---|
584 | if (_tolerance.positive((*_capacity)[a])) { |
---|
585 | Node u = _graph.source(a); |
---|
586 | (*_flow)[a] = (*_capacity)[a]; |
---|
587 | (*_excess)[u] += (*_capacity)[a]; |
---|
588 | if (!(*_active)[u] && u != _source) { |
---|
589 | activate(u); |
---|
590 | } |
---|
591 | } |
---|
592 | } |
---|
593 | if ((*_active)[target]) { |
---|
594 | deactivate(target); |
---|
595 | } |
---|
596 | |
---|
597 | _highest = _sets.back().begin(); |
---|
598 | while (_highest != _sets.back().end() && |
---|
599 | !(*_active)[_first[*_highest]]) { |
---|
600 | ++_highest; |
---|
601 | } |
---|
602 | } |
---|
603 | |
---|
604 | |
---|
605 | while (true) { |
---|
606 | while (_highest != _sets.back().end()) { |
---|
607 | Node n = _first[*_highest]; |
---|
608 | Value excess = (*_excess)[n]; |
---|
609 | int next_bucket = _node_num; |
---|
610 | |
---|
611 | int under_bucket; |
---|
612 | if (++std::list<int>::iterator(_highest) == _sets.back().end()) { |
---|
613 | under_bucket = -1; |
---|
614 | } else { |
---|
615 | under_bucket = *(++std::list<int>::iterator(_highest)); |
---|
616 | } |
---|
617 | |
---|
618 | for (InArcIt a(_graph, n); a != INVALID; ++a) { |
---|
619 | Node v = _graph.source(a); |
---|
620 | if (_dormant[(*_bucket)[v]]) continue; |
---|
621 | Value rem = (*_capacity)[a] - (*_flow)[a]; |
---|
622 | if (!_tolerance.positive(rem)) continue; |
---|
623 | if ((*_bucket)[v] == under_bucket) { |
---|
624 | if (!(*_active)[v] && v != target) { |
---|
625 | activate(v); |
---|
626 | } |
---|
627 | if (!_tolerance.less(rem, excess)) { |
---|
628 | (*_flow)[a] += excess; |
---|
629 | (*_excess)[v] += excess; |
---|
630 | excess = 0; |
---|
631 | goto no_more_push; |
---|
632 | } else { |
---|
633 | excess -= rem; |
---|
634 | (*_excess)[v] += rem; |
---|
635 | (*_flow)[a] = (*_capacity)[a]; |
---|
636 | } |
---|
637 | } else if (next_bucket > (*_bucket)[v]) { |
---|
638 | next_bucket = (*_bucket)[v]; |
---|
639 | } |
---|
640 | } |
---|
641 | |
---|
642 | for (OutArcIt a(_graph, n); a != INVALID; ++a) { |
---|
643 | Node v = _graph.target(a); |
---|
644 | if (_dormant[(*_bucket)[v]]) continue; |
---|
645 | Value rem = (*_flow)[a]; |
---|
646 | if (!_tolerance.positive(rem)) continue; |
---|
647 | if ((*_bucket)[v] == under_bucket) { |
---|
648 | if (!(*_active)[v] && v != target) { |
---|
649 | activate(v); |
---|
650 | } |
---|
651 | if (!_tolerance.less(rem, excess)) { |
---|
652 | (*_flow)[a] -= excess; |
---|
653 | (*_excess)[v] += excess; |
---|
654 | excess = 0; |
---|
655 | goto no_more_push; |
---|
656 | } else { |
---|
657 | excess -= rem; |
---|
658 | (*_excess)[v] += rem; |
---|
659 | (*_flow)[a] = 0; |
---|
660 | } |
---|
661 | } else if (next_bucket > (*_bucket)[v]) { |
---|
662 | next_bucket = (*_bucket)[v]; |
---|
663 | } |
---|
664 | } |
---|
665 | |
---|
666 | no_more_push: |
---|
667 | |
---|
668 | (*_excess)[n] = excess; |
---|
669 | |
---|
670 | if (excess != 0) { |
---|
671 | if ((*_next)[n] == INVALID) { |
---|
672 | typename std::list<std::list<int> >::iterator new_set = |
---|
673 | _sets.insert(--_sets.end(), std::list<int>()); |
---|
674 | new_set->splice(new_set->end(), _sets.back(), |
---|
675 | _sets.back().begin(), ++_highest); |
---|
676 | for (std::list<int>::iterator it = new_set->begin(); |
---|
677 | it != new_set->end(); ++it) { |
---|
678 | _dormant[*it] = true; |
---|
679 | } |
---|
680 | while (_highest != _sets.back().end() && |
---|
681 | !(*_active)[_first[*_highest]]) { |
---|
682 | ++_highest; |
---|
683 | } |
---|
684 | } else if (next_bucket == _node_num) { |
---|
685 | _first[(*_bucket)[n]] = (*_next)[n]; |
---|
686 | (*_prev)[(*_next)[n]] = INVALID; |
---|
687 | |
---|
688 | std::list<std::list<int> >::iterator new_set = |
---|
689 | _sets.insert(--_sets.end(), std::list<int>()); |
---|
690 | |
---|
691 | new_set->push_front(bucket_num); |
---|
692 | (*_bucket)[n] = bucket_num; |
---|
693 | _first[bucket_num] = _last[bucket_num] = n; |
---|
694 | (*_next)[n] = INVALID; |
---|
695 | (*_prev)[n] = INVALID; |
---|
696 | _dormant[bucket_num] = true; |
---|
697 | ++bucket_num; |
---|
698 | |
---|
699 | while (_highest != _sets.back().end() && |
---|
700 | !(*_active)[_first[*_highest]]) { |
---|
701 | ++_highest; |
---|
702 | } |
---|
703 | } else { |
---|
704 | _first[*_highest] = (*_next)[n]; |
---|
705 | (*_prev)[(*_next)[n]] = INVALID; |
---|
706 | |
---|
707 | while (next_bucket != *_highest) { |
---|
708 | --_highest; |
---|
709 | } |
---|
710 | if (_highest == _sets.back().begin()) { |
---|
711 | _sets.back().push_front(bucket_num); |
---|
712 | _dormant[bucket_num] = false; |
---|
713 | _first[bucket_num] = _last[bucket_num] = INVALID; |
---|
714 | ++bucket_num; |
---|
715 | } |
---|
716 | --_highest; |
---|
717 | |
---|
718 | (*_bucket)[n] = *_highest; |
---|
719 | (*_next)[n] = _first[*_highest]; |
---|
720 | if (_first[*_highest] != INVALID) { |
---|
721 | (*_prev)[_first[*_highest]] = n; |
---|
722 | } else { |
---|
723 | _last[*_highest] = n; |
---|
724 | } |
---|
725 | _first[*_highest] = n; |
---|
726 | } |
---|
727 | } else { |
---|
728 | |
---|
729 | deactivate(n); |
---|
730 | if (!(*_active)[_first[*_highest]]) { |
---|
731 | ++_highest; |
---|
732 | if (_highest != _sets.back().end() && |
---|
733 | !(*_active)[_first[*_highest]]) { |
---|
734 | _highest = _sets.back().end(); |
---|
735 | } |
---|
736 | } |
---|
737 | } |
---|
738 | } |
---|
739 | |
---|
740 | if ((*_excess)[target] < _min_cut) { |
---|
741 | _min_cut = (*_excess)[target]; |
---|
742 | for (NodeIt i(_graph); i != INVALID; ++i) { |
---|
743 | (*_min_cut_map)[i] = false; |
---|
744 | } |
---|
745 | for (std::list<int>::iterator it = _sets.back().begin(); |
---|
746 | it != _sets.back().end(); ++it) { |
---|
747 | Node n = _first[*it]; |
---|
748 | while (n != INVALID) { |
---|
749 | (*_min_cut_map)[n] = true; |
---|
750 | n = (*_next)[n]; |
---|
751 | } |
---|
752 | } |
---|
753 | } |
---|
754 | |
---|
755 | { |
---|
756 | Node new_target; |
---|
757 | if ((*_prev)[target] != INVALID || (*_next)[target] != INVALID) { |
---|
758 | if ((*_next)[target] == INVALID) { |
---|
759 | _last[(*_bucket)[target]] = (*_prev)[target]; |
---|
760 | new_target = (*_prev)[target]; |
---|
761 | } else { |
---|
762 | (*_prev)[(*_next)[target]] = (*_prev)[target]; |
---|
763 | new_target = (*_next)[target]; |
---|
764 | } |
---|
765 | if ((*_prev)[target] == INVALID) { |
---|
766 | _first[(*_bucket)[target]] = (*_next)[target]; |
---|
767 | } else { |
---|
768 | (*_next)[(*_prev)[target]] = (*_next)[target]; |
---|
769 | } |
---|
770 | } else { |
---|
771 | _sets.back().pop_back(); |
---|
772 | if (_sets.back().empty()) { |
---|
773 | _sets.pop_back(); |
---|
774 | if (_sets.empty()) |
---|
775 | break; |
---|
776 | for (std::list<int>::iterator it = _sets.back().begin(); |
---|
777 | it != _sets.back().end(); ++it) { |
---|
778 | _dormant[*it] = false; |
---|
779 | } |
---|
780 | } |
---|
781 | new_target = _last[_sets.back().back()]; |
---|
782 | } |
---|
783 | |
---|
784 | (*_bucket)[target] = 0; |
---|
785 | |
---|
786 | (*_source_set)[target] = true; |
---|
787 | for (InArcIt a(_graph, target); a != INVALID; ++a) { |
---|
788 | Value rem = (*_capacity)[a] - (*_flow)[a]; |
---|
789 | if (!_tolerance.positive(rem)) continue; |
---|
790 | Node v = _graph.source(a); |
---|
791 | if (!(*_active)[v] && !(*_source_set)[v]) { |
---|
792 | activate(v); |
---|
793 | } |
---|
794 | (*_excess)[v] += rem; |
---|
795 | (*_flow)[a] = (*_capacity)[a]; |
---|
796 | } |
---|
797 | |
---|
798 | for (OutArcIt a(_graph, target); a != INVALID; ++a) { |
---|
799 | Value rem = (*_flow)[a]; |
---|
800 | if (!_tolerance.positive(rem)) continue; |
---|
801 | Node v = _graph.target(a); |
---|
802 | if (!(*_active)[v] && !(*_source_set)[v]) { |
---|
803 | activate(v); |
---|
804 | } |
---|
805 | (*_excess)[v] += rem; |
---|
806 | (*_flow)[a] = 0; |
---|
807 | } |
---|
808 | |
---|
809 | target = new_target; |
---|
810 | if ((*_active)[target]) { |
---|
811 | deactivate(target); |
---|
812 | } |
---|
813 | |
---|
814 | _highest = _sets.back().begin(); |
---|
815 | while (_highest != _sets.back().end() && |
---|
816 | !(*_active)[_first[*_highest]]) { |
---|
817 | ++_highest; |
---|
818 | } |
---|
819 | } |
---|
820 | } |
---|
821 | } |
---|
822 | |
---|
823 | public: |
---|
824 | |
---|
825 | /// \name Execution Control |
---|
826 | /// The simplest way to execute the algorithm is to use |
---|
827 | /// one of the member functions called \ref run(). |
---|
828 | /// \n |
---|
829 | /// If you need better control on the execution, |
---|
830 | /// you have to call one of the \ref init() functions first, then |
---|
831 | /// \ref calculateOut() and/or \ref calculateIn(). |
---|
832 | |
---|
833 | /// @{ |
---|
834 | |
---|
835 | /// \brief Initialize the internal data structures. |
---|
836 | /// |
---|
837 | /// This function initializes the internal data structures. It creates |
---|
838 | /// the maps and some bucket structures for the algorithm. |
---|
839 | /// The first node is used as the source node for the push-relabel |
---|
840 | /// algorithm. |
---|
841 | void init() { |
---|
842 | init(NodeIt(_graph)); |
---|
843 | } |
---|
844 | |
---|
845 | /// \brief Initialize the internal data structures. |
---|
846 | /// |
---|
847 | /// This function initializes the internal data structures. It creates |
---|
848 | /// the maps and some bucket structures for the algorithm. |
---|
849 | /// The given node is used as the source node for the push-relabel |
---|
850 | /// algorithm. |
---|
851 | void init(const Node& source) { |
---|
852 | _source = source; |
---|
853 | |
---|
854 | _node_num = countNodes(_graph); |
---|
855 | |
---|
856 | _first.resize(_node_num); |
---|
857 | _last.resize(_node_num); |
---|
858 | |
---|
859 | _dormant.resize(_node_num); |
---|
860 | |
---|
861 | if (!_flow) { |
---|
862 | _flow = new FlowMap(_graph); |
---|
863 | } |
---|
864 | if (!_next) { |
---|
865 | _next = new typename Digraph::template NodeMap<Node>(_graph); |
---|
866 | } |
---|
867 | if (!_prev) { |
---|
868 | _prev = new typename Digraph::template NodeMap<Node>(_graph); |
---|
869 | } |
---|
870 | if (!_active) { |
---|
871 | _active = new typename Digraph::template NodeMap<bool>(_graph); |
---|
872 | } |
---|
873 | if (!_bucket) { |
---|
874 | _bucket = new typename Digraph::template NodeMap<int>(_graph); |
---|
875 | } |
---|
876 | if (!_excess) { |
---|
877 | _excess = new ExcessMap(_graph); |
---|
878 | } |
---|
879 | if (!_source_set) { |
---|
880 | _source_set = new SourceSetMap(_graph); |
---|
881 | } |
---|
882 | if (!_min_cut_map) { |
---|
883 | _min_cut_map = new MinCutMap(_graph); |
---|
884 | } |
---|
885 | |
---|
886 | _min_cut = std::numeric_limits<Value>::max(); |
---|
887 | } |
---|
888 | |
---|
889 | |
---|
890 | /// \brief Calculate a minimum cut with \f$ source \f$ on the |
---|
891 | /// source-side. |
---|
892 | /// |
---|
893 | /// This function calculates a minimum cut with \f$ source \f$ on the |
---|
894 | /// source-side (i.e. a set \f$ X\subsetneq V \f$ with |
---|
895 | /// \f$ source \in X \f$ and minimal outgoing capacity). |
---|
896 | /// |
---|
897 | /// \pre \ref init() must be called before using this function. |
---|
898 | void calculateOut() { |
---|
899 | findMinCutOut(); |
---|
900 | } |
---|
901 | |
---|
902 | /// \brief Calculate a minimum cut with \f$ source \f$ on the |
---|
903 | /// sink-side. |
---|
904 | /// |
---|
905 | /// This function calculates a minimum cut with \f$ source \f$ on the |
---|
906 | /// sink-side (i.e. a set \f$ X\subsetneq V \f$ with |
---|
907 | /// \f$ source \notin X \f$ and minimal outgoing capacity). |
---|
908 | /// |
---|
909 | /// \pre \ref init() must be called before using this function. |
---|
910 | void calculateIn() { |
---|
911 | findMinCutIn(); |
---|
912 | } |
---|
913 | |
---|
914 | |
---|
915 | /// \brief Run the algorithm. |
---|
916 | /// |
---|
917 | /// This function runs the algorithm. It finds nodes \c source and |
---|
918 | /// \c target arbitrarily and then calls \ref init(), \ref calculateOut() |
---|
919 | /// and \ref calculateIn(). |
---|
920 | void run() { |
---|
921 | init(); |
---|
922 | calculateOut(); |
---|
923 | calculateIn(); |
---|
924 | } |
---|
925 | |
---|
926 | /// \brief Run the algorithm. |
---|
927 | /// |
---|
928 | /// This function runs the algorithm. It uses the given \c source node, |
---|
929 | /// finds a proper \c target node and then calls the \ref init(), |
---|
930 | /// \ref calculateOut() and \ref calculateIn(). |
---|
931 | void run(const Node& s) { |
---|
932 | init(s); |
---|
933 | calculateOut(); |
---|
934 | calculateIn(); |
---|
935 | } |
---|
936 | |
---|
937 | /// @} |
---|
938 | |
---|
939 | /// \name Query Functions |
---|
940 | /// The result of the %HaoOrlin algorithm |
---|
941 | /// can be obtained using these functions.\n |
---|
942 | /// \ref run(), \ref calculateOut() or \ref calculateIn() |
---|
943 | /// should be called before using them. |
---|
944 | |
---|
945 | /// @{ |
---|
946 | |
---|
947 | /// \brief Return the value of the minimum cut. |
---|
948 | /// |
---|
949 | /// This function returns the value of the minimum cut. |
---|
950 | /// |
---|
951 | /// \pre \ref run(), \ref calculateOut() or \ref calculateIn() |
---|
952 | /// must be called before using this function. |
---|
953 | Value minCutValue() const { |
---|
954 | return _min_cut; |
---|
955 | } |
---|
956 | |
---|
957 | |
---|
958 | /// \brief Return a minimum cut. |
---|
959 | /// |
---|
960 | /// This function sets \c cutMap to the characteristic vector of a |
---|
961 | /// minimum value cut: it will give a non-empty set \f$ X\subsetneq V \f$ |
---|
962 | /// with minimal outgoing capacity (i.e. \c cutMap will be \c true exactly |
---|
963 | /// for the nodes of \f$ X \f$). |
---|
964 | /// |
---|
965 | /// \param cutMap A \ref concepts::WriteMap "writable" node map with |
---|
966 | /// \c bool (or convertible) value type. |
---|
967 | /// |
---|
968 | /// \return The value of the minimum cut. |
---|
969 | /// |
---|
970 | /// \pre \ref run(), \ref calculateOut() or \ref calculateIn() |
---|
971 | /// must be called before using this function. |
---|
972 | template <typename CutMap> |
---|
973 | Value minCutMap(CutMap& cutMap) const { |
---|
974 | for (NodeIt it(_graph); it != INVALID; ++it) { |
---|
975 | cutMap.set(it, (*_min_cut_map)[it]); |
---|
976 | } |
---|
977 | return _min_cut; |
---|
978 | } |
---|
979 | |
---|
980 | /// @} |
---|
981 | |
---|
982 | }; //class HaoOrlin |
---|
983 | |
---|
984 | } //namespace lemon |
---|
985 | |
---|
986 | #endif //LEMON_HAO_ORLIN_H |
---|