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_PREFLOW_H |
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20 | #define LEMON_PREFLOW_H |
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21 | |
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22 | #include <lemon/tolerance.h> |
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23 | #include <lemon/elevator.h> |
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24 | |
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25 | /// \file |
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26 | /// \ingroup max_flow |
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27 | /// \brief Implementation of the preflow algorithm. |
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28 | |
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29 | namespace lemon { |
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30 | |
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31 | /// \brief Default traits class of Preflow class. |
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32 | /// |
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33 | /// Default traits class of Preflow class. |
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34 | /// \tparam GR Digraph type. |
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35 | /// \tparam CAP Capacity map type. |
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36 | template <typename GR, typename CAP> |
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37 | struct PreflowDefaultTraits { |
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38 | |
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39 | /// \brief The type of the digraph the algorithm runs on. |
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40 | typedef GR Digraph; |
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41 | |
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42 | /// \brief The type of the map that stores the arc capacities. |
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43 | /// |
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44 | /// The type of the map that stores the arc capacities. |
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45 | /// It must meet the \ref concepts::ReadMap "ReadMap" concept. |
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46 | typedef CAP CapacityMap; |
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47 | |
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48 | /// \brief The type of the flow values. |
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49 | typedef typename CapacityMap::Value Value; |
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50 | |
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51 | /// \brief The type of the map that stores the flow values. |
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52 | /// |
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53 | /// The type of the map that stores the flow values. |
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54 | /// It must meet the \ref concepts::ReadWriteMap "ReadWriteMap" concept. |
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55 | #ifdef DOXYGEN |
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56 | typedef GR::ArcMap<Value> FlowMap; |
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57 | #else |
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58 | typedef typename Digraph::template ArcMap<Value> FlowMap; |
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59 | #endif |
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60 | |
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61 | /// \brief Instantiates a FlowMap. |
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62 | /// |
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63 | /// This function instantiates a \ref FlowMap. |
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64 | /// \param digraph The digraph for which we would like to define |
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65 | /// the flow map. |
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66 | static FlowMap* createFlowMap(const Digraph& digraph) { |
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67 | return new FlowMap(digraph); |
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68 | } |
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69 | |
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70 | /// \brief The elevator type used by Preflow algorithm. |
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71 | /// |
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72 | /// The elevator type used by Preflow algorithm. |
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73 | /// |
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74 | /// \sa Elevator, LinkedElevator |
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75 | #ifdef DOXYGEN |
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76 | typedef lemon::Elevator<GR, GR::Node> Elevator; |
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77 | #else |
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78 | typedef lemon::Elevator<Digraph, typename Digraph::Node> Elevator; |
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79 | #endif |
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80 | |
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81 | /// \brief Instantiates an Elevator. |
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82 | /// |
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83 | /// This function instantiates an \ref Elevator. |
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84 | /// \param digraph The digraph for which we would like to define |
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85 | /// the elevator. |
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86 | /// \param max_level The maximum level of the elevator. |
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87 | static Elevator* createElevator(const Digraph& digraph, int max_level) { |
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88 | return new Elevator(digraph, max_level); |
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89 | } |
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90 | |
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91 | /// \brief The tolerance used by the algorithm |
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92 | /// |
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93 | /// The tolerance used by the algorithm to handle inexact computation. |
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94 | typedef lemon::Tolerance<Value> Tolerance; |
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95 | |
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96 | }; |
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97 | |
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98 | |
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99 | /// \ingroup max_flow |
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100 | /// |
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101 | /// \brief %Preflow algorithm class. |
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102 | /// |
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103 | /// This class provides an implementation of Goldberg-Tarjan's \e preflow |
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104 | /// \e push-relabel algorithm producing a \ref max_flow |
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105 | /// "flow of maximum value" in a digraph. |
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106 | /// The preflow algorithms are the fastest known maximum |
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107 | /// flow algorithms. The current implementation uses a mixture of the |
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108 | /// \e "highest label" and the \e "bound decrease" heuristics. |
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109 | /// The worst case time complexity of the algorithm is \f$O(n^2\sqrt{e})\f$. |
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110 | /// |
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111 | /// The algorithm consists of two phases. After the first phase |
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112 | /// the maximum flow value and the minimum cut is obtained. The |
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113 | /// second phase constructs a feasible maximum flow on each arc. |
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114 | /// |
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115 | /// \tparam GR The type of the digraph the algorithm runs on. |
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116 | /// \tparam CAP The type of the capacity map. The default map |
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117 | /// type is \ref concepts::Digraph::ArcMap "GR::ArcMap<int>". |
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118 | #ifdef DOXYGEN |
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119 | template <typename GR, typename CAP, typename TR> |
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120 | #else |
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121 | template <typename GR, |
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122 | typename CAP = typename GR::template ArcMap<int>, |
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123 | typename TR = PreflowDefaultTraits<GR, CAP> > |
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124 | #endif |
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125 | class Preflow { |
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126 | public: |
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127 | |
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128 | ///The \ref PreflowDefaultTraits "traits class" of the algorithm. |
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129 | typedef TR Traits; |
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130 | ///The type of the digraph the algorithm runs on. |
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131 | typedef typename Traits::Digraph Digraph; |
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132 | ///The type of the capacity map. |
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133 | typedef typename Traits::CapacityMap CapacityMap; |
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134 | ///The type of the flow values. |
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135 | typedef typename Traits::Value Value; |
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136 | |
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137 | ///The type of the flow map. |
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138 | typedef typename Traits::FlowMap FlowMap; |
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139 | ///The type of the elevator. |
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140 | typedef typename Traits::Elevator Elevator; |
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141 | ///The type of the tolerance. |
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142 | typedef typename Traits::Tolerance Tolerance; |
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143 | |
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144 | private: |
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145 | |
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146 | TEMPLATE_DIGRAPH_TYPEDEFS(Digraph); |
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147 | |
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148 | const Digraph& _graph; |
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149 | const CapacityMap* _capacity; |
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150 | |
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151 | int _node_num; |
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152 | |
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153 | Node _source, _target; |
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154 | |
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155 | FlowMap* _flow; |
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156 | bool _local_flow; |
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157 | |
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158 | Elevator* _level; |
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159 | bool _local_level; |
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160 | |
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161 | typedef typename Digraph::template NodeMap<Value> ExcessMap; |
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162 | ExcessMap* _excess; |
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163 | |
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164 | Tolerance _tolerance; |
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165 | |
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166 | bool _phase; |
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167 | |
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168 | |
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169 | void createStructures() { |
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170 | _node_num = countNodes(_graph); |
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171 | |
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172 | if (!_flow) { |
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173 | _flow = Traits::createFlowMap(_graph); |
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174 | _local_flow = true; |
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175 | } |
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176 | if (!_level) { |
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177 | _level = Traits::createElevator(_graph, _node_num); |
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178 | _local_level = true; |
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179 | } |
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180 | if (!_excess) { |
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181 | _excess = new ExcessMap(_graph); |
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182 | } |
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183 | } |
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184 | |
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185 | void destroyStructures() { |
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186 | if (_local_flow) { |
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187 | delete _flow; |
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188 | } |
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189 | if (_local_level) { |
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190 | delete _level; |
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191 | } |
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192 | if (_excess) { |
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193 | delete _excess; |
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194 | } |
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195 | } |
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196 | |
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197 | public: |
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198 | |
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199 | typedef Preflow Create; |
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200 | |
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201 | ///\name Named Template Parameters |
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202 | |
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203 | ///@{ |
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204 | |
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205 | template <typename T> |
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206 | struct SetFlowMapTraits : public Traits { |
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207 | typedef T FlowMap; |
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208 | static FlowMap *createFlowMap(const Digraph&) { |
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209 | LEMON_ASSERT(false, "FlowMap is not initialized"); |
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210 | return 0; // ignore warnings |
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211 | } |
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212 | }; |
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213 | |
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214 | /// \brief \ref named-templ-param "Named parameter" for setting |
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215 | /// FlowMap type |
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216 | /// |
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217 | /// \ref named-templ-param "Named parameter" for setting FlowMap |
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218 | /// type. |
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219 | template <typename T> |
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220 | struct SetFlowMap |
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221 | : public Preflow<Digraph, CapacityMap, SetFlowMapTraits<T> > { |
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222 | typedef Preflow<Digraph, CapacityMap, |
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223 | SetFlowMapTraits<T> > Create; |
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224 | }; |
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225 | |
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226 | template <typename T> |
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227 | struct SetElevatorTraits : public Traits { |
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228 | typedef T Elevator; |
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229 | static Elevator *createElevator(const Digraph&, int) { |
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230 | LEMON_ASSERT(false, "Elevator is not initialized"); |
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231 | return 0; // ignore warnings |
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232 | } |
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233 | }; |
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234 | |
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235 | /// \brief \ref named-templ-param "Named parameter" for setting |
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236 | /// Elevator type |
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237 | /// |
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238 | /// \ref named-templ-param "Named parameter" for setting Elevator |
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239 | /// type. If this named parameter is used, then an external |
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240 | /// elevator object must be passed to the algorithm using the |
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241 | /// \ref elevator(Elevator&) "elevator()" function before calling |
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242 | /// \ref run() or \ref init(). |
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243 | /// \sa SetStandardElevator |
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244 | template <typename T> |
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245 | struct SetElevator |
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246 | : public Preflow<Digraph, CapacityMap, SetElevatorTraits<T> > { |
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247 | typedef Preflow<Digraph, CapacityMap, |
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248 | SetElevatorTraits<T> > Create; |
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249 | }; |
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250 | |
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251 | template <typename T> |
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252 | struct SetStandardElevatorTraits : public Traits { |
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253 | typedef T Elevator; |
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254 | static Elevator *createElevator(const Digraph& digraph, int max_level) { |
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255 | return new Elevator(digraph, max_level); |
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256 | } |
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257 | }; |
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258 | |
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259 | /// \brief \ref named-templ-param "Named parameter" for setting |
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260 | /// Elevator type with automatic allocation |
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261 | /// |
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262 | /// \ref named-templ-param "Named parameter" for setting Elevator |
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263 | /// type with automatic allocation. |
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264 | /// The Elevator should have standard constructor interface to be |
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265 | /// able to automatically created by the algorithm (i.e. the |
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266 | /// digraph and the maximum level should be passed to it). |
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267 | /// However an external elevator object could also be passed to the |
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268 | /// algorithm with the \ref elevator(Elevator&) "elevator()" function |
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269 | /// before calling \ref run() or \ref init(). |
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270 | /// \sa SetElevator |
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271 | template <typename T> |
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272 | struct SetStandardElevator |
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273 | : public Preflow<Digraph, CapacityMap, |
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274 | SetStandardElevatorTraits<T> > { |
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275 | typedef Preflow<Digraph, CapacityMap, |
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276 | SetStandardElevatorTraits<T> > Create; |
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277 | }; |
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278 | |
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279 | /// @} |
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280 | |
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281 | protected: |
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282 | |
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283 | Preflow() {} |
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284 | |
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285 | public: |
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286 | |
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287 | |
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288 | /// \brief The constructor of the class. |
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289 | /// |
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290 | /// The constructor of the class. |
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291 | /// \param digraph The digraph the algorithm runs on. |
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292 | /// \param capacity The capacity of the arcs. |
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293 | /// \param source The source node. |
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294 | /// \param target The target node. |
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295 | Preflow(const Digraph& digraph, const CapacityMap& capacity, |
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296 | Node source, Node target) |
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297 | : _graph(digraph), _capacity(&capacity), |
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298 | _node_num(0), _source(source), _target(target), |
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299 | _flow(0), _local_flow(false), |
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300 | _level(0), _local_level(false), |
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301 | _excess(0), _tolerance(), _phase() {} |
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302 | |
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303 | /// \brief Destructor. |
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304 | /// |
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305 | /// Destructor. |
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306 | ~Preflow() { |
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307 | destroyStructures(); |
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308 | } |
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309 | |
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310 | /// \brief Sets the capacity map. |
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311 | /// |
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312 | /// Sets the capacity map. |
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313 | /// \return <tt>(*this)</tt> |
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314 | Preflow& capacityMap(const CapacityMap& map) { |
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315 | _capacity = ↦ |
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316 | return *this; |
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317 | } |
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318 | |
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319 | /// \brief Sets the flow map. |
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320 | /// |
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321 | /// Sets the flow map. |
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322 | /// If you don't use this function before calling \ref run() or |
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323 | /// \ref init(), an instance will be allocated automatically. |
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324 | /// The destructor deallocates this automatically allocated map, |
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325 | /// of course. |
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326 | /// \return <tt>(*this)</tt> |
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327 | Preflow& flowMap(FlowMap& map) { |
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328 | if (_local_flow) { |
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329 | delete _flow; |
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330 | _local_flow = false; |
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331 | } |
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332 | _flow = ↦ |
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333 | return *this; |
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334 | } |
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335 | |
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336 | /// \brief Sets the source node. |
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337 | /// |
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338 | /// Sets the source node. |
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339 | /// \return <tt>(*this)</tt> |
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340 | Preflow& source(const Node& node) { |
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341 | _source = node; |
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342 | return *this; |
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343 | } |
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344 | |
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345 | /// \brief Sets the target node. |
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346 | /// |
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347 | /// Sets the target node. |
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348 | /// \return <tt>(*this)</tt> |
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349 | Preflow& target(const Node& node) { |
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350 | _target = node; |
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351 | return *this; |
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352 | } |
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353 | |
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354 | /// \brief Sets the elevator used by algorithm. |
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355 | /// |
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356 | /// Sets the elevator used by algorithm. |
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357 | /// If you don't use this function before calling \ref run() or |
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358 | /// \ref init(), an instance will be allocated automatically. |
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359 | /// The destructor deallocates this automatically allocated elevator, |
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360 | /// of course. |
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361 | /// \return <tt>(*this)</tt> |
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362 | Preflow& elevator(Elevator& elevator) { |
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363 | if (_local_level) { |
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364 | delete _level; |
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365 | _local_level = false; |
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366 | } |
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367 | _level = &elevator; |
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368 | return *this; |
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369 | } |
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370 | |
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371 | /// \brief Returns a const reference to the elevator. |
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372 | /// |
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373 | /// Returns a const reference to the elevator. |
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374 | /// |
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375 | /// \pre Either \ref run() or \ref init() must be called before |
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376 | /// using this function. |
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377 | const Elevator& elevator() const { |
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378 | return *_level; |
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379 | } |
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380 | |
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381 | /// \brief Sets the tolerance used by the algorithm. |
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382 | /// |
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383 | /// Sets the tolerance object used by the algorithm. |
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384 | /// \return <tt>(*this)</tt> |
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385 | Preflow& tolerance(const Tolerance& tolerance) { |
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386 | _tolerance = tolerance; |
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387 | return *this; |
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388 | } |
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389 | |
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390 | /// \brief Returns a const reference to the tolerance. |
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391 | /// |
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392 | /// Returns a const reference to the tolerance object used by |
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393 | /// the algorithm. |
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394 | const Tolerance& tolerance() const { |
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395 | return _tolerance; |
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396 | } |
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397 | |
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398 | /// \name Execution Control |
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399 | /// The simplest way to execute the preflow algorithm is to use |
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400 | /// \ref run() or \ref runMinCut().\n |
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401 | /// If you need better control on the initial solution or the execution, |
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402 | /// you have to call one of the \ref init() functions first, then |
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403 | /// \ref startFirstPhase() and if you need it \ref startSecondPhase(). |
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404 | |
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405 | ///@{ |
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406 | |
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407 | /// \brief Initializes the internal data structures. |
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408 | /// |
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409 | /// Initializes the internal data structures and sets the initial |
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410 | /// flow to zero on each arc. |
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411 | void init() { |
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412 | createStructures(); |
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413 | |
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414 | _phase = true; |
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415 | for (NodeIt n(_graph); n != INVALID; ++n) { |
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416 | (*_excess)[n] = 0; |
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417 | } |
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418 | |
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419 | for (ArcIt e(_graph); e != INVALID; ++e) { |
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420 | _flow->set(e, 0); |
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421 | } |
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422 | |
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423 | typename Digraph::template NodeMap<bool> reached(_graph, false); |
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424 | |
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425 | _level->initStart(); |
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426 | _level->initAddItem(_target); |
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427 | |
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428 | std::vector<Node> queue; |
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429 | reached[_source] = true; |
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430 | |
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431 | queue.push_back(_target); |
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432 | reached[_target] = true; |
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433 | while (!queue.empty()) { |
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434 | _level->initNewLevel(); |
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435 | std::vector<Node> nqueue; |
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436 | for (int i = 0; i < int(queue.size()); ++i) { |
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437 | Node n = queue[i]; |
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438 | for (InArcIt e(_graph, n); e != INVALID; ++e) { |
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439 | Node u = _graph.source(e); |
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440 | if (!reached[u] && _tolerance.positive((*_capacity)[e])) { |
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441 | reached[u] = true; |
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442 | _level->initAddItem(u); |
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443 | nqueue.push_back(u); |
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444 | } |
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445 | } |
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446 | } |
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447 | queue.swap(nqueue); |
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448 | } |
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449 | _level->initFinish(); |
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450 | |
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451 | for (OutArcIt e(_graph, _source); e != INVALID; ++e) { |
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452 | if (_tolerance.positive((*_capacity)[e])) { |
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453 | Node u = _graph.target(e); |
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454 | if ((*_level)[u] == _level->maxLevel()) continue; |
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455 | _flow->set(e, (*_capacity)[e]); |
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456 | (*_excess)[u] += (*_capacity)[e]; |
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457 | if (u != _target && !_level->active(u)) { |
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458 | _level->activate(u); |
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459 | } |
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460 | } |
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461 | } |
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462 | } |
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463 | |
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464 | /// \brief Initializes the internal data structures using the |
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465 | /// given flow map. |
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466 | /// |
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467 | /// Initializes the internal data structures and sets the initial |
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468 | /// flow to the given \c flowMap. The \c flowMap should contain a |
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469 | /// flow or at least a preflow, i.e. at each node excluding the |
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470 | /// source node the incoming flow should greater or equal to the |
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471 | /// outgoing flow. |
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472 | /// \return \c false if the given \c flowMap is not a preflow. |
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473 | template <typename FlowMap> |
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474 | bool init(const FlowMap& flowMap) { |
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475 | createStructures(); |
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476 | |
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477 | for (ArcIt e(_graph); e != INVALID; ++e) { |
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478 | _flow->set(e, flowMap[e]); |
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479 | } |
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480 | |
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481 | for (NodeIt n(_graph); n != INVALID; ++n) { |
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482 | Value excess = 0; |
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483 | for (InArcIt e(_graph, n); e != INVALID; ++e) { |
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484 | excess += (*_flow)[e]; |
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485 | } |
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486 | for (OutArcIt e(_graph, n); e != INVALID; ++e) { |
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487 | excess -= (*_flow)[e]; |
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488 | } |
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489 | if (excess < 0 && n != _source) return false; |
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490 | (*_excess)[n] = excess; |
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491 | } |
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492 | |
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493 | typename Digraph::template NodeMap<bool> reached(_graph, false); |
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494 | |
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495 | _level->initStart(); |
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496 | _level->initAddItem(_target); |
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497 | |
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498 | std::vector<Node> queue; |
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499 | reached[_source] = true; |
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500 | |
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501 | queue.push_back(_target); |
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502 | reached[_target] = true; |
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503 | while (!queue.empty()) { |
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504 | _level->initNewLevel(); |
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505 | std::vector<Node> nqueue; |
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506 | for (int i = 0; i < int(queue.size()); ++i) { |
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507 | Node n = queue[i]; |
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508 | for (InArcIt e(_graph, n); e != INVALID; ++e) { |
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509 | Node u = _graph.source(e); |
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510 | if (!reached[u] && |
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511 | _tolerance.positive((*_capacity)[e] - (*_flow)[e])) { |
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512 | reached[u] = true; |
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513 | _level->initAddItem(u); |
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514 | nqueue.push_back(u); |
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515 | } |
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516 | } |
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517 | for (OutArcIt e(_graph, n); e != INVALID; ++e) { |
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518 | Node v = _graph.target(e); |
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519 | if (!reached[v] && _tolerance.positive((*_flow)[e])) { |
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520 | reached[v] = true; |
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521 | _level->initAddItem(v); |
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522 | nqueue.push_back(v); |
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523 | } |
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524 | } |
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525 | } |
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526 | queue.swap(nqueue); |
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527 | } |
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528 | _level->initFinish(); |
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529 | |
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530 | for (OutArcIt e(_graph, _source); e != INVALID; ++e) { |
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531 | Value rem = (*_capacity)[e] - (*_flow)[e]; |
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532 | if (_tolerance.positive(rem)) { |
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533 | Node u = _graph.target(e); |
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534 | if ((*_level)[u] == _level->maxLevel()) continue; |
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535 | _flow->set(e, (*_capacity)[e]); |
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536 | (*_excess)[u] += rem; |
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537 | if (u != _target && !_level->active(u)) { |
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538 | _level->activate(u); |
---|
539 | } |
---|
540 | } |
---|
541 | } |
---|
542 | for (InArcIt e(_graph, _source); e != INVALID; ++e) { |
---|
543 | Value rem = (*_flow)[e]; |
---|
544 | if (_tolerance.positive(rem)) { |
---|
545 | Node v = _graph.source(e); |
---|
546 | if ((*_level)[v] == _level->maxLevel()) continue; |
---|
547 | _flow->set(e, 0); |
---|
548 | (*_excess)[v] += rem; |
---|
549 | if (v != _target && !_level->active(v)) { |
---|
550 | _level->activate(v); |
---|
551 | } |
---|
552 | } |
---|
553 | } |
---|
554 | return true; |
---|
555 | } |
---|
556 | |
---|
557 | /// \brief Starts the first phase of the preflow algorithm. |
---|
558 | /// |
---|
559 | /// The preflow algorithm consists of two phases, this method runs |
---|
560 | /// the first phase. After the first phase the maximum flow value |
---|
561 | /// and a minimum value cut can already be computed, although a |
---|
562 | /// maximum flow is not yet obtained. So after calling this method |
---|
563 | /// \ref flowValue() returns the value of a maximum flow and \ref |
---|
564 | /// minCut() returns a minimum cut. |
---|
565 | /// \pre One of the \ref init() functions must be called before |
---|
566 | /// using this function. |
---|
567 | void startFirstPhase() { |
---|
568 | _phase = true; |
---|
569 | |
---|
570 | Node n = _level->highestActive(); |
---|
571 | int level = _level->highestActiveLevel(); |
---|
572 | while (n != INVALID) { |
---|
573 | int num = _node_num; |
---|
574 | |
---|
575 | while (num > 0 && n != INVALID) { |
---|
576 | Value excess = (*_excess)[n]; |
---|
577 | int new_level = _level->maxLevel(); |
---|
578 | |
---|
579 | for (OutArcIt e(_graph, n); e != INVALID; ++e) { |
---|
580 | Value rem = (*_capacity)[e] - (*_flow)[e]; |
---|
581 | if (!_tolerance.positive(rem)) continue; |
---|
582 | Node v = _graph.target(e); |
---|
583 | if ((*_level)[v] < level) { |
---|
584 | if (!_level->active(v) && v != _target) { |
---|
585 | _level->activate(v); |
---|
586 | } |
---|
587 | if (!_tolerance.less(rem, excess)) { |
---|
588 | _flow->set(e, (*_flow)[e] + excess); |
---|
589 | (*_excess)[v] += excess; |
---|
590 | excess = 0; |
---|
591 | goto no_more_push_1; |
---|
592 | } else { |
---|
593 | excess -= rem; |
---|
594 | (*_excess)[v] += rem; |
---|
595 | _flow->set(e, (*_capacity)[e]); |
---|
596 | } |
---|
597 | } else if (new_level > (*_level)[v]) { |
---|
598 | new_level = (*_level)[v]; |
---|
599 | } |
---|
600 | } |
---|
601 | |
---|
602 | for (InArcIt e(_graph, n); e != INVALID; ++e) { |
---|
603 | Value rem = (*_flow)[e]; |
---|
604 | if (!_tolerance.positive(rem)) continue; |
---|
605 | Node v = _graph.source(e); |
---|
606 | if ((*_level)[v] < level) { |
---|
607 | if (!_level->active(v) && v != _target) { |
---|
608 | _level->activate(v); |
---|
609 | } |
---|
610 | if (!_tolerance.less(rem, excess)) { |
---|
611 | _flow->set(e, (*_flow)[e] - excess); |
---|
612 | (*_excess)[v] += excess; |
---|
613 | excess = 0; |
---|
614 | goto no_more_push_1; |
---|
615 | } else { |
---|
616 | excess -= rem; |
---|
617 | (*_excess)[v] += rem; |
---|
618 | _flow->set(e, 0); |
---|
619 | } |
---|
620 | } else if (new_level > (*_level)[v]) { |
---|
621 | new_level = (*_level)[v]; |
---|
622 | } |
---|
623 | } |
---|
624 | |
---|
625 | no_more_push_1: |
---|
626 | |
---|
627 | (*_excess)[n] = excess; |
---|
628 | |
---|
629 | if (excess != 0) { |
---|
630 | if (new_level + 1 < _level->maxLevel()) { |
---|
631 | _level->liftHighestActive(new_level + 1); |
---|
632 | } else { |
---|
633 | _level->liftHighestActiveToTop(); |
---|
634 | } |
---|
635 | if (_level->emptyLevel(level)) { |
---|
636 | _level->liftToTop(level); |
---|
637 | } |
---|
638 | } else { |
---|
639 | _level->deactivate(n); |
---|
640 | } |
---|
641 | |
---|
642 | n = _level->highestActive(); |
---|
643 | level = _level->highestActiveLevel(); |
---|
644 | --num; |
---|
645 | } |
---|
646 | |
---|
647 | num = _node_num * 20; |
---|
648 | while (num > 0 && n != INVALID) { |
---|
649 | Value excess = (*_excess)[n]; |
---|
650 | int new_level = _level->maxLevel(); |
---|
651 | |
---|
652 | for (OutArcIt e(_graph, n); e != INVALID; ++e) { |
---|
653 | Value rem = (*_capacity)[e] - (*_flow)[e]; |
---|
654 | if (!_tolerance.positive(rem)) continue; |
---|
655 | Node v = _graph.target(e); |
---|
656 | if ((*_level)[v] < level) { |
---|
657 | if (!_level->active(v) && v != _target) { |
---|
658 | _level->activate(v); |
---|
659 | } |
---|
660 | if (!_tolerance.less(rem, excess)) { |
---|
661 | _flow->set(e, (*_flow)[e] + excess); |
---|
662 | (*_excess)[v] += excess; |
---|
663 | excess = 0; |
---|
664 | goto no_more_push_2; |
---|
665 | } else { |
---|
666 | excess -= rem; |
---|
667 | (*_excess)[v] += rem; |
---|
668 | _flow->set(e, (*_capacity)[e]); |
---|
669 | } |
---|
670 | } else if (new_level > (*_level)[v]) { |
---|
671 | new_level = (*_level)[v]; |
---|
672 | } |
---|
673 | } |
---|
674 | |
---|
675 | for (InArcIt e(_graph, n); e != INVALID; ++e) { |
---|
676 | Value rem = (*_flow)[e]; |
---|
677 | if (!_tolerance.positive(rem)) continue; |
---|
678 | Node v = _graph.source(e); |
---|
679 | if ((*_level)[v] < level) { |
---|
680 | if (!_level->active(v) && v != _target) { |
---|
681 | _level->activate(v); |
---|
682 | } |
---|
683 | if (!_tolerance.less(rem, excess)) { |
---|
684 | _flow->set(e, (*_flow)[e] - excess); |
---|
685 | (*_excess)[v] += excess; |
---|
686 | excess = 0; |
---|
687 | goto no_more_push_2; |
---|
688 | } else { |
---|
689 | excess -= rem; |
---|
690 | (*_excess)[v] += rem; |
---|
691 | _flow->set(e, 0); |
---|
692 | } |
---|
693 | } else if (new_level > (*_level)[v]) { |
---|
694 | new_level = (*_level)[v]; |
---|
695 | } |
---|
696 | } |
---|
697 | |
---|
698 | no_more_push_2: |
---|
699 | |
---|
700 | (*_excess)[n] = excess; |
---|
701 | |
---|
702 | if (excess != 0) { |
---|
703 | if (new_level + 1 < _level->maxLevel()) { |
---|
704 | _level->liftActiveOn(level, new_level + 1); |
---|
705 | } else { |
---|
706 | _level->liftActiveToTop(level); |
---|
707 | } |
---|
708 | if (_level->emptyLevel(level)) { |
---|
709 | _level->liftToTop(level); |
---|
710 | } |
---|
711 | } else { |
---|
712 | _level->deactivate(n); |
---|
713 | } |
---|
714 | |
---|
715 | while (level >= 0 && _level->activeFree(level)) { |
---|
716 | --level; |
---|
717 | } |
---|
718 | if (level == -1) { |
---|
719 | n = _level->highestActive(); |
---|
720 | level = _level->highestActiveLevel(); |
---|
721 | } else { |
---|
722 | n = _level->activeOn(level); |
---|
723 | } |
---|
724 | --num; |
---|
725 | } |
---|
726 | } |
---|
727 | } |
---|
728 | |
---|
729 | /// \brief Starts the second phase of the preflow algorithm. |
---|
730 | /// |
---|
731 | /// The preflow algorithm consists of two phases, this method runs |
---|
732 | /// the second phase. After calling one of the \ref init() functions |
---|
733 | /// and \ref startFirstPhase() and then \ref startSecondPhase(), |
---|
734 | /// \ref flowMap() returns a maximum flow, \ref flowValue() returns the |
---|
735 | /// value of a maximum flow, \ref minCut() returns a minimum cut |
---|
736 | /// \pre One of the \ref init() functions and \ref startFirstPhase() |
---|
737 | /// must be called before using this function. |
---|
738 | void startSecondPhase() { |
---|
739 | _phase = false; |
---|
740 | |
---|
741 | typename Digraph::template NodeMap<bool> reached(_graph); |
---|
742 | for (NodeIt n(_graph); n != INVALID; ++n) { |
---|
743 | reached[n] = (*_level)[n] < _level->maxLevel(); |
---|
744 | } |
---|
745 | |
---|
746 | _level->initStart(); |
---|
747 | _level->initAddItem(_source); |
---|
748 | |
---|
749 | std::vector<Node> queue; |
---|
750 | queue.push_back(_source); |
---|
751 | reached[_source] = true; |
---|
752 | |
---|
753 | while (!queue.empty()) { |
---|
754 | _level->initNewLevel(); |
---|
755 | std::vector<Node> nqueue; |
---|
756 | for (int i = 0; i < int(queue.size()); ++i) { |
---|
757 | Node n = queue[i]; |
---|
758 | for (OutArcIt e(_graph, n); e != INVALID; ++e) { |
---|
759 | Node v = _graph.target(e); |
---|
760 | if (!reached[v] && _tolerance.positive((*_flow)[e])) { |
---|
761 | reached[v] = true; |
---|
762 | _level->initAddItem(v); |
---|
763 | nqueue.push_back(v); |
---|
764 | } |
---|
765 | } |
---|
766 | for (InArcIt e(_graph, n); e != INVALID; ++e) { |
---|
767 | Node u = _graph.source(e); |
---|
768 | if (!reached[u] && |
---|
769 | _tolerance.positive((*_capacity)[e] - (*_flow)[e])) { |
---|
770 | reached[u] = true; |
---|
771 | _level->initAddItem(u); |
---|
772 | nqueue.push_back(u); |
---|
773 | } |
---|
774 | } |
---|
775 | } |
---|
776 | queue.swap(nqueue); |
---|
777 | } |
---|
778 | _level->initFinish(); |
---|
779 | |
---|
780 | for (NodeIt n(_graph); n != INVALID; ++n) { |
---|
781 | if (!reached[n]) { |
---|
782 | _level->dirtyTopButOne(n); |
---|
783 | } else if ((*_excess)[n] > 0 && _target != n) { |
---|
784 | _level->activate(n); |
---|
785 | } |
---|
786 | } |
---|
787 | |
---|
788 | Node n; |
---|
789 | while ((n = _level->highestActive()) != INVALID) { |
---|
790 | Value excess = (*_excess)[n]; |
---|
791 | int level = _level->highestActiveLevel(); |
---|
792 | int new_level = _level->maxLevel(); |
---|
793 | |
---|
794 | for (OutArcIt e(_graph, n); e != INVALID; ++e) { |
---|
795 | Value rem = (*_capacity)[e] - (*_flow)[e]; |
---|
796 | if (!_tolerance.positive(rem)) continue; |
---|
797 | Node v = _graph.target(e); |
---|
798 | if ((*_level)[v] < level) { |
---|
799 | if (!_level->active(v) && v != _source) { |
---|
800 | _level->activate(v); |
---|
801 | } |
---|
802 | if (!_tolerance.less(rem, excess)) { |
---|
803 | _flow->set(e, (*_flow)[e] + excess); |
---|
804 | (*_excess)[v] += excess; |
---|
805 | excess = 0; |
---|
806 | goto no_more_push; |
---|
807 | } else { |
---|
808 | excess -= rem; |
---|
809 | (*_excess)[v] += rem; |
---|
810 | _flow->set(e, (*_capacity)[e]); |
---|
811 | } |
---|
812 | } else if (new_level > (*_level)[v]) { |
---|
813 | new_level = (*_level)[v]; |
---|
814 | } |
---|
815 | } |
---|
816 | |
---|
817 | for (InArcIt e(_graph, n); e != INVALID; ++e) { |
---|
818 | Value rem = (*_flow)[e]; |
---|
819 | if (!_tolerance.positive(rem)) continue; |
---|
820 | Node v = _graph.source(e); |
---|
821 | if ((*_level)[v] < level) { |
---|
822 | if (!_level->active(v) && v != _source) { |
---|
823 | _level->activate(v); |
---|
824 | } |
---|
825 | if (!_tolerance.less(rem, excess)) { |
---|
826 | _flow->set(e, (*_flow)[e] - excess); |
---|
827 | (*_excess)[v] += excess; |
---|
828 | excess = 0; |
---|
829 | goto no_more_push; |
---|
830 | } else { |
---|
831 | excess -= rem; |
---|
832 | (*_excess)[v] += rem; |
---|
833 | _flow->set(e, 0); |
---|
834 | } |
---|
835 | } else if (new_level > (*_level)[v]) { |
---|
836 | new_level = (*_level)[v]; |
---|
837 | } |
---|
838 | } |
---|
839 | |
---|
840 | no_more_push: |
---|
841 | |
---|
842 | (*_excess)[n] = excess; |
---|
843 | |
---|
844 | if (excess != 0) { |
---|
845 | if (new_level + 1 < _level->maxLevel()) { |
---|
846 | _level->liftHighestActive(new_level + 1); |
---|
847 | } else { |
---|
848 | // Calculation error |
---|
849 | _level->liftHighestActiveToTop(); |
---|
850 | } |
---|
851 | if (_level->emptyLevel(level)) { |
---|
852 | // Calculation error |
---|
853 | _level->liftToTop(level); |
---|
854 | } |
---|
855 | } else { |
---|
856 | _level->deactivate(n); |
---|
857 | } |
---|
858 | |
---|
859 | } |
---|
860 | } |
---|
861 | |
---|
862 | /// \brief Runs the preflow algorithm. |
---|
863 | /// |
---|
864 | /// Runs the preflow algorithm. |
---|
865 | /// \note pf.run() is just a shortcut of the following code. |
---|
866 | /// \code |
---|
867 | /// pf.init(); |
---|
868 | /// pf.startFirstPhase(); |
---|
869 | /// pf.startSecondPhase(); |
---|
870 | /// \endcode |
---|
871 | void run() { |
---|
872 | init(); |
---|
873 | startFirstPhase(); |
---|
874 | startSecondPhase(); |
---|
875 | } |
---|
876 | |
---|
877 | /// \brief Runs the preflow algorithm to compute the minimum cut. |
---|
878 | /// |
---|
879 | /// Runs the preflow algorithm to compute the minimum cut. |
---|
880 | /// \note pf.runMinCut() is just a shortcut of the following code. |
---|
881 | /// \code |
---|
882 | /// pf.init(); |
---|
883 | /// pf.startFirstPhase(); |
---|
884 | /// \endcode |
---|
885 | void runMinCut() { |
---|
886 | init(); |
---|
887 | startFirstPhase(); |
---|
888 | } |
---|
889 | |
---|
890 | /// @} |
---|
891 | |
---|
892 | /// \name Query Functions |
---|
893 | /// The results of the preflow algorithm can be obtained using these |
---|
894 | /// functions.\n |
---|
895 | /// Either one of the \ref run() "run*()" functions or one of the |
---|
896 | /// \ref startFirstPhase() "start*()" functions should be called |
---|
897 | /// before using them. |
---|
898 | |
---|
899 | ///@{ |
---|
900 | |
---|
901 | /// \brief Returns the value of the maximum flow. |
---|
902 | /// |
---|
903 | /// Returns the value of the maximum flow by returning the excess |
---|
904 | /// of the target node. This value equals to the value of |
---|
905 | /// the maximum flow already after the first phase of the algorithm. |
---|
906 | /// |
---|
907 | /// \pre Either \ref run() or \ref init() must be called before |
---|
908 | /// using this function. |
---|
909 | Value flowValue() const { |
---|
910 | return (*_excess)[_target]; |
---|
911 | } |
---|
912 | |
---|
913 | /// \brief Returns the flow value on the given arc. |
---|
914 | /// |
---|
915 | /// Returns the flow value on the given arc. This method can |
---|
916 | /// be called after the second phase of the algorithm. |
---|
917 | /// |
---|
918 | /// \pre Either \ref run() or \ref init() must be called before |
---|
919 | /// using this function. |
---|
920 | Value flow(const Arc& arc) const { |
---|
921 | return (*_flow)[arc]; |
---|
922 | } |
---|
923 | |
---|
924 | /// \brief Returns a const reference to the flow map. |
---|
925 | /// |
---|
926 | /// Returns a const reference to the arc map storing the found flow. |
---|
927 | /// This method can be called after the second phase of the algorithm. |
---|
928 | /// |
---|
929 | /// \pre Either \ref run() or \ref init() must be called before |
---|
930 | /// using this function. |
---|
931 | const FlowMap& flowMap() const { |
---|
932 | return *_flow; |
---|
933 | } |
---|
934 | |
---|
935 | /// \brief Returns \c true when the node is on the source side of the |
---|
936 | /// minimum cut. |
---|
937 | /// |
---|
938 | /// Returns true when the node is on the source side of the found |
---|
939 | /// minimum cut. This method can be called both after running \ref |
---|
940 | /// startFirstPhase() and \ref startSecondPhase(). |
---|
941 | /// |
---|
942 | /// \pre Either \ref run() or \ref init() must be called before |
---|
943 | /// using this function. |
---|
944 | bool minCut(const Node& node) const { |
---|
945 | return ((*_level)[node] == _level->maxLevel()) == _phase; |
---|
946 | } |
---|
947 | |
---|
948 | /// \brief Gives back a minimum value cut. |
---|
949 | /// |
---|
950 | /// Sets \c cutMap to the characteristic vector of a minimum value |
---|
951 | /// cut. \c cutMap should be a \ref concepts::WriteMap "writable" |
---|
952 | /// node map with \c bool (or convertible) value type. |
---|
953 | /// |
---|
954 | /// This method can be called both after running \ref startFirstPhase() |
---|
955 | /// and \ref startSecondPhase(). The result after the second phase |
---|
956 | /// could be slightly different if inexact computation is used. |
---|
957 | /// |
---|
958 | /// \note This function calls \ref minCut() for each node, so it runs in |
---|
959 | /// O(n) time. |
---|
960 | /// |
---|
961 | /// \pre Either \ref run() or \ref init() must be called before |
---|
962 | /// using this function. |
---|
963 | template <typename CutMap> |
---|
964 | void minCutMap(CutMap& cutMap) const { |
---|
965 | for (NodeIt n(_graph); n != INVALID; ++n) { |
---|
966 | cutMap.set(n, minCut(n)); |
---|
967 | } |
---|
968 | } |
---|
969 | |
---|
970 | /// @} |
---|
971 | }; |
---|
972 | } |
---|
973 | |
---|
974 | #endif |
---|