1 | /* -*- C++ -*- |
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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) 2003-2007 |
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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 | /** |
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20 | @defgroup datas Data Structures |
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21 | This group describes the several graph structures implemented in LEMON. |
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22 | */ |
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23 | |
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24 | /** |
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25 | @defgroup graphs Graph Structures |
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26 | @ingroup datas |
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27 | \brief Graph structures implemented in LEMON. |
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28 | |
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29 | The implementation of combinatorial algorithms heavily relies on |
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30 | efficient graph implementations. LEMON offers data structures which are |
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31 | planned to be easily used in an experimental phase of implementation studies, |
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32 | and thereafter the program code can be made efficient by small modifications. |
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33 | |
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34 | The most efficient implementation of diverse applications require the |
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35 | usage of different physical graph implementations. These differences |
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36 | appear in the size of graph we require to handle, memory or time usage |
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37 | limitations or in the set of operations through which the graph can be |
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38 | accessed. LEMON provides several physical graph structures to meet |
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39 | the diverging requirements of the possible users. In order to save on |
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40 | running time or on memory usage, some structures may fail to provide |
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41 | some graph features like edge or node deletion. |
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42 | |
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43 | Alteration of standard containers need a very limited number of |
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44 | operations, these together satisfy the everyday requirements. |
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45 | In the case of graph structures, different operations are needed which do |
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46 | not alter the physical graph, but gives another view. If some nodes or |
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47 | edges have to be hidden or the reverse oriented graph have to be used, then |
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48 | this is the case. It also may happen that in a flow implementation |
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49 | the residual graph can be accessed by another algorithm, or a node-set |
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50 | is to be shrunk for another algorithm. |
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51 | LEMON also provides a variety of graphs for these requirements called |
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52 | \ref graph_adaptors "graph adaptors". Adaptors cannot be used alone but only |
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53 | in conjunction with other graph representation. |
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54 | |
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55 | You are free to use the graph structure that fit your requirements |
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56 | the best, most graph algorithms and auxiliary data structures can be used |
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57 | with any graph structures. |
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58 | */ |
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59 | |
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60 | /** |
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61 | @defgroup semi_adaptors Semi-Adaptors Classes for Graphs |
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62 | @ingroup graphs |
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63 | \brief Graph types between real graphs and graph adaptors. |
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64 | |
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65 | Graph types between real graphs and graph adaptors. These classes wrap |
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66 | graphs to give new functionality as the adaptors do it. On the other |
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67 | hand they are not light-weight structures as the adaptors. |
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68 | */ |
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69 | |
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70 | /** |
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71 | @defgroup maps Maps |
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72 | @ingroup datas |
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73 | \brief Some special purpose map to make life easier. |
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74 | |
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75 | LEMON provides several special maps that e.g. combine |
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76 | new maps from existing ones. |
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77 | */ |
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78 | |
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79 | /** |
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80 | @defgroup graph_maps Graph Maps |
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81 | @ingroup maps |
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82 | \brief Special Graph-Related Maps. |
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83 | |
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84 | These maps are specifically designed to assign values to the nodes and edges of |
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85 | graphs. |
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86 | */ |
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87 | |
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88 | |
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89 | /** |
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90 | \defgroup map_adaptors Map Adaptors |
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91 | \ingroup maps |
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92 | \brief Tools to create new maps from existing ones |
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93 | |
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94 | Map adaptors are used to create "implicit" maps from other maps. |
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95 | |
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96 | Most of them are \ref lemon::concepts::ReadMap "ReadMap"s. They can |
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97 | make arithmetic operations between one or two maps (negation, scaling, |
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98 | addition, multiplication etc.) or e.g. convert a map to another one |
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99 | of different Value type. |
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100 | |
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101 | The typical usage of this classes is the passing implicit maps to |
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102 | algorithms. If a function type algorithm is called then the function |
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103 | type map adaptors can be used comfortable. For example let's see the |
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104 | usage of map adaptors with the \c graphToEps() function: |
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105 | \code |
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106 | Color nodeColor(int deg) { |
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107 | if (deg >= 2) { |
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108 | return Color(0.5, 0.0, 0.5); |
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109 | } else if (deg == 1) { |
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110 | return Color(1.0, 0.5, 1.0); |
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111 | } else { |
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112 | return Color(0.0, 0.0, 0.0); |
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113 | } |
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114 | } |
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115 | |
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116 | Graph::NodeMap<int> degree_map(graph); |
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117 | |
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118 | graphToEps(graph, "graph.eps") |
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119 | .coords(coords).scaleToA4().undirected() |
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120 | .nodeColors(composeMap(functorMap(nodeColor), degree_map)) |
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121 | .run(); |
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122 | \endcode |
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123 | The \c functorMap() function makes an \c int to \c Color map from the |
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124 | \e nodeColor() function. The \c composeMap() compose the \e degree_map |
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125 | and the previous created map. The composed map is proper function to |
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126 | get color of each node. |
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127 | |
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128 | The usage with class type algorithms is little bit harder. In this |
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129 | case the function type map adaptors can not be used, because the |
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130 | function map adaptors give back temporarly objects. |
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131 | \code |
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132 | Graph graph; |
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133 | |
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134 | typedef Graph::EdgeMap<double> DoubleEdgeMap; |
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135 | DoubleEdgeMap length(graph); |
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136 | DoubleEdgeMap speed(graph); |
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137 | |
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138 | typedef DivMap<DoubleEdgeMap, DoubleEdgeMap> TimeMap; |
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139 | |
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140 | TimeMap time(length, speed); |
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141 | |
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142 | Dijkstra<Graph, TimeMap> dijkstra(graph, time); |
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143 | dijkstra.run(source, target); |
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144 | \endcode |
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145 | |
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146 | We have a length map and a maximum speed map on a graph. The minimum |
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147 | time to pass the edge can be calculated as the division of the two |
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148 | maps which can be done implicitly with the \c DivMap template |
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149 | class. We use the implicit minimum time map as the length map of the |
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150 | \c Dijkstra algorithm. |
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151 | */ |
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152 | |
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153 | /** |
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154 | @defgroup matrices Matrices |
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155 | @ingroup datas |
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156 | \brief Two dimensional data storages. |
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157 | |
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158 | Two dimensional data storages. |
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159 | */ |
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160 | |
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161 | /** |
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162 | @defgroup paths Path Structures |
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163 | @ingroup datas |
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164 | \brief Path structures implemented in LEMON. |
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165 | |
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166 | LEMON provides flexible data structures |
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167 | to work with paths. |
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168 | |
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169 | All of them have similar interfaces, and it can be copied easily with |
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170 | assignment operator and copy constructor. This make it easy and |
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171 | efficient to have e.g. the Dijkstra algorithm to store its result in |
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172 | any kind of path structure. |
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173 | |
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174 | \sa lemon::concepts::Path |
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175 | |
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176 | */ |
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177 | |
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178 | /** |
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179 | @defgroup auxdat Auxiliary Data Structures |
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180 | @ingroup datas |
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181 | \brief Some data structures implemented in LEMON. |
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182 | |
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183 | This group describes the data structures implemented in LEMON in |
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184 | order to make it easier to implement combinatorial algorithms. |
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185 | */ |
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186 | |
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187 | |
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188 | /** |
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189 | @defgroup algs Algorithms |
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190 | \brief This group describes the several algorithms |
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191 | implemented in LEMON. |
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192 | |
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193 | This group describes the several algorithms |
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194 | implemented in LEMON. |
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195 | */ |
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196 | |
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197 | /** |
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198 | @defgroup search Graph Search |
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199 | @ingroup algs |
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200 | \brief This group contains the common graph |
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201 | search algorithms. |
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202 | |
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203 | This group contains the common graph |
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204 | search algorithms like Bfs and Dfs. |
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205 | */ |
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206 | |
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207 | /** |
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208 | @defgroup shortest_path Shortest Path algorithms |
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209 | @ingroup algs |
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210 | \brief This group describes the algorithms |
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211 | for finding shortest paths. |
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212 | |
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213 | This group describes the algorithms for finding shortest paths in |
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214 | graphs. |
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215 | |
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216 | */ |
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217 | |
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218 | /** |
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219 | @defgroup max_flow Maximum Flow algorithms |
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220 | @ingroup algs |
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221 | \brief This group describes the algorithms for finding maximum flows. |
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222 | |
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223 | This group describes the algorithms for finding maximum flows and |
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224 | feasible circulations. |
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225 | |
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226 | The maximum flow problem is to find a flow between a single-source and |
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227 | single-target that is maximum. Formally, there is \f$G=(V,A)\f$ |
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228 | directed graph, an \f$c_a:A\rightarrow\mathbf{R}^+_0\f$ capacity |
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229 | function and given \f$s, t \in V\f$ source and target node. The |
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230 | maximum flow is the solution of the next optimization problem: |
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231 | |
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232 | \f[ 0 \le f_a \le c_a \f] |
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233 | \f[ \sum_{v\in\delta^{-}(u)}f_{vu}=\sum_{v\in\delta^{+}(u)}f_{uv} \quad u \in V \setminus \{s,t\}\f] |
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234 | \f[ \max \sum_{v\in\delta^{+}(s)}f_{uv} - \sum_{v\in\delta^{-}(s)}f_{vu}\f] |
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235 | |
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236 | The lemon contains several algorithms for solve maximum flow problems: |
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237 | - \ref lemon::EdmondsKarp "Edmonds-Karp" |
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238 | - \ref lemon::Preflow "Goldberg's Preflow algorithm" |
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239 | - \ref lemon::DinitzSleatorTarjan "Dinitz's blocking flow algorithm with dynamic tree" |
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240 | - \ref lemon::GoldbergTarjan "Preflow algorithm with dynamic trees" |
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241 | |
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242 | In most cases the \ref lemon::Preflow "preflow" algorithm provides the |
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243 | fastest method to compute the maximum flow. All impelementations |
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244 | provides functions for query the minimum cut, which is the dual linear |
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245 | programming probelm of the maximum flow. |
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246 | |
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247 | */ |
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248 | |
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249 | /** |
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250 | @defgroup min_cost_flow Minimum Cost Flow algorithms |
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251 | @ingroup algs |
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252 | |
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253 | \brief This group describes the algorithms |
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254 | for finding minimum cost flows and circulations. |
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255 | |
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256 | This group describes the algorithms for finding minimum cost flows and |
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257 | circulations. |
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258 | */ |
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259 | |
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260 | /** |
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261 | @defgroup min_cut Minimum Cut algorithms |
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262 | @ingroup algs |
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263 | |
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264 | \brief This group describes the algorithms for finding minimum cut in |
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265 | graphs. |
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266 | |
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267 | This group describes the algorithms for finding minimum cut in graphs. |
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268 | |
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269 | The minimum cut problem is to find a non-empty and non-complete |
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270 | \f$X\f$ subset of the vertices with minimum overall capacity on |
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271 | outgoing arcs. Formally, there is \f$G=(V,A)\f$ directed graph, an |
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272 | \f$c_a:A\rightarrow\mathbf{R}^+_0\f$ capacity function. The minimum |
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273 | cut is the solution of the next optimization problem: |
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274 | |
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275 | \f[ \min_{X \subset V, X\not\in \{\emptyset, V\}}\sum_{uv\in A, u\in X, v\not\in X}c_{uv}\f] |
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276 | |
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277 | The lemon contains several algorithms related to minimum cut problems: |
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278 | |
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279 | - \ref lemon::HaoOrlin "Hao-Orlin algorithm" for calculate minimum cut |
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280 | in directed graphs |
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281 | - \ref lemon::NagamochiIbaraki "Nagamochi-Ibaraki algorithm" for |
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282 | calculate minimum cut in undirected graphs |
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283 | - \ref lemon::GomoryHuTree "Gomory-Hu tree computation" for calculate all |
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284 | pairs minimum cut in undirected graphs |
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285 | |
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286 | If you want to find minimum cut just between two distinict nodes, |
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287 | please see the \ref max_flow "Maximum Flow page". |
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288 | |
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289 | */ |
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290 | |
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291 | /** |
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292 | @defgroup graph_prop Connectivity and other graph properties |
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293 | @ingroup algs |
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294 | \brief This group describes the algorithms |
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295 | for discover the graph properties |
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296 | |
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297 | This group describes the algorithms for discover the graph properties |
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298 | like connectivity, bipartiteness, euler property, simplicity, etc... |
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299 | |
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300 | \image html edge_biconnected_components.png |
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301 | \image latex edge_biconnected_components.eps "bi-edge-connected components" width=\textwidth |
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302 | */ |
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303 | |
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304 | /** |
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305 | @defgroup planar Planarity embedding and drawing |
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306 | @ingroup algs |
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307 | \brief This group contains algorithms for planarity embedding and drawing |
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308 | |
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309 | This group contains algorithms for planarity checking, embedding and drawing. |
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310 | |
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311 | \image html planar.png |
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312 | \image latex planar.eps "Plane graph" width=\textwidth |
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313 | */ |
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314 | |
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315 | /** |
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316 | @defgroup matching Matching algorithms |
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317 | @ingroup algs |
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318 | \brief This group describes the algorithms |
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319 | for find matchings in graphs and bipartite graphs. |
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320 | |
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321 | This group provides some algorithm objects and function to calculate |
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322 | matchings in graphs and bipartite graphs. The general matching problem is |
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323 | finding a subset of the edges which does not shares common endpoints. |
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324 | |
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325 | There are several different algorithms for calculate matchings in |
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326 | graphs. The matching problems in bipartite graphs are generally |
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327 | easier than in general graphs. The goal of the matching optimization |
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328 | can be the finding maximum cardinality, maximum weight or minimum cost |
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329 | matching. The search can be constrained to find perfect or |
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330 | maximum cardinality matching. |
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331 | |
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332 | Lemon contains the next algorithms: |
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333 | - \ref lemon::MaxBipartiteMatching "MaxBipartiteMatching" Hopcroft-Karp |
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334 | augmenting path algorithm for calculate maximum cardinality matching in |
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335 | bipartite graphs |
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336 | - \ref lemon::PrBipartiteMatching "PrBipartiteMatching" Push-Relabel |
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337 | algorithm for calculate maximum cardinality matching in bipartite graphs |
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338 | - \ref lemon::MaxWeightedBipartiteMatching "MaxWeightedBipartiteMatching" |
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339 | Successive shortest path algorithm for calculate maximum weighted matching |
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340 | and maximum weighted bipartite matching in bipartite graph |
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341 | - \ref lemon::MinCostMaxBipartiteMatching "MinCostMaxBipartiteMatching" |
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342 | Successive shortest path algorithm for calculate minimum cost maximum |
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343 | matching in bipartite graph |
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344 | - \ref lemon::MaxMatching "MaxMatching" Edmond's blossom shrinking algorithm |
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345 | for calculate maximum cardinality matching in general graph |
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346 | - \ref lemon::MaxWeightedMatching "MaxWeightedMatching" Edmond's blossom |
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347 | shrinking algorithm for calculate maximum weighted matching in general |
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348 | graph |
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349 | - \ref lemon::MaxWeightedPerfectMatching "MaxWeightedPerfectMatching" |
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350 | Edmond's blossom shrinking algorithm for calculate maximum weighted |
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351 | perfect matching in general graph |
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352 | |
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353 | \image html bipartite_matching.png |
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354 | \image latex bipartite_matching.eps "Bipartite Matching" width=\textwidth |
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355 | |
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356 | */ |
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357 | |
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358 | /** |
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359 | @defgroup spantree Minimum Spanning Tree algorithms |
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360 | @ingroup algs |
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361 | \brief This group contains the algorithms for finding a minimum cost spanning |
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362 | tree in a graph |
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363 | |
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364 | This group contains the algorithms for finding a minimum cost spanning |
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365 | tree in a graph |
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366 | */ |
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367 | |
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368 | |
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369 | /** |
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370 | @defgroup auxalg Auxiliary algorithms |
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371 | @ingroup algs |
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372 | \brief Some algorithms implemented in LEMON. |
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373 | |
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374 | This group describes the algorithms in LEMON in order to make |
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375 | it easier to implement complex algorithms. |
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376 | */ |
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377 | |
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378 | /** |
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379 | @defgroup approx Approximation algorithms |
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380 | \brief Approximation algorithms |
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381 | |
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382 | Approximation and heuristic algorithms |
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383 | */ |
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384 | |
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385 | /** |
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386 | @defgroup gen_opt_group General Optimization Tools |
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387 | \brief This group describes some general optimization frameworks |
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388 | implemented in LEMON. |
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389 | |
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390 | This group describes some general optimization frameworks |
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391 | implemented in LEMON. |
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392 | |
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393 | */ |
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394 | |
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395 | /** |
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396 | @defgroup lp_group Lp and Mip solvers |
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397 | @ingroup gen_opt_group |
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398 | \brief Lp and Mip solver interfaces for LEMON. |
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399 | |
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400 | This group describes Lp and Mip solver interfaces for LEMON. The |
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401 | various LP solvers could be used in the same manner with this |
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402 | interface. |
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403 | |
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404 | */ |
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405 | |
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406 | /** |
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407 | @defgroup lp_utils Tools for Lp and Mip solvers |
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408 | @ingroup lp_group |
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409 | \brief This group adds some helper tools to the Lp and Mip solvers |
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410 | implemented in LEMON. |
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411 | |
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412 | This group adds some helper tools to general optimization framework |
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413 | implemented in LEMON. |
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414 | */ |
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415 | |
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416 | /** |
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417 | @defgroup metah Metaheuristics |
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418 | @ingroup gen_opt_group |
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419 | \brief Metaheuristics for LEMON library. |
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420 | |
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421 | This group contains some metaheuristic optimization tools. |
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422 | */ |
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423 | |
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424 | /** |
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425 | @defgroup utils Tools and Utilities |
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426 | \brief Tools and Utilities for Programming in LEMON |
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427 | |
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428 | Tools and Utilities for Programming in LEMON |
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429 | */ |
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430 | |
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431 | /** |
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432 | @defgroup gutils Basic Graph Utilities |
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433 | @ingroup utils |
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434 | \brief This group describes some simple basic graph utilities. |
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435 | |
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436 | This group describes some simple basic graph utilities. |
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437 | */ |
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438 | |
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439 | /** |
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440 | @defgroup misc Miscellaneous Tools |
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441 | @ingroup utils |
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442 | Here you can find several useful tools for development, |
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443 | debugging and testing. |
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444 | */ |
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445 | |
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446 | |
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447 | /** |
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448 | @defgroup timecount Time measuring and Counting |
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449 | @ingroup misc |
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450 | Here you can find simple tools for measuring the performance |
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451 | of algorithms. |
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452 | */ |
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453 | |
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454 | /** |
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455 | @defgroup graphbits Tools for Graph Implementation |
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456 | @ingroup utils |
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457 | \brief Tools to Make It Easier to Make Graphs. |
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458 | |
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459 | This group describes the tools that makes it easier to make graphs and |
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460 | the maps that dynamically update with the graph changes. |
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461 | */ |
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462 | |
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463 | /** |
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464 | @defgroup exceptions Exceptions |
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465 | @ingroup utils |
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466 | This group contains the exceptions thrown by LEMON library |
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467 | */ |
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468 | |
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469 | /** |
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470 | @defgroup io_group Input-Output |
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471 | \brief Several Graph Input-Output methods |
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472 | |
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473 | Here you can find tools for importing and exporting graphs |
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474 | and graph related data. Now it supports the LEMON format, the |
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475 | \c DIMACS format and the encapsulated postscript format. |
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476 | */ |
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477 | |
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478 | /** |
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479 | @defgroup lemon_io Lemon Input-Output |
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480 | @ingroup io_group |
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481 | \brief Reading and writing LEMON format |
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482 | |
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483 | Methods for reading and writing LEMON format. More about this |
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484 | format you can find on the \ref graph-io-page "Graph Input-Output" |
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485 | tutorial pages. |
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486 | */ |
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487 | |
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488 | /** |
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489 | @defgroup section_io Section readers and writers |
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490 | @ingroup lemon_io |
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491 | \brief Section readers and writers for lemon Input-Output. |
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492 | |
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493 | Here you can find which section readers and writers can attach to |
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494 | the LemonReader and LemonWriter. |
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495 | */ |
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496 | |
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497 | /** |
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498 | @defgroup item_io Item Readers and Writers |
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499 | @ingroup lemon_io |
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500 | \brief Item readers and writers for lemon Input-Output. |
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501 | |
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502 | The Input-Output classes can handle more data type by example |
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503 | as map or attribute value. Each of these should be written and |
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504 | read some way. The module make possible to do this. |
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505 | */ |
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506 | |
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507 | /** |
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508 | @defgroup eps_io Postscript exporting |
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509 | @ingroup io_group |
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510 | \brief General \c EPS drawer and graph exporter |
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511 | |
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512 | This group contains general \c EPS drawing methods and special |
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513 | graph exporting tools. |
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514 | */ |
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515 | |
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516 | |
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517 | /** |
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518 | @defgroup concept Concepts |
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519 | \brief Skeleton classes and concept checking classes |
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520 | |
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521 | This group describes the data/algorithm skeletons and concept checking |
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522 | classes implemented in LEMON. |
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523 | |
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524 | The purpose of the classes in this group is fourfold. |
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525 | |
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526 | - These classes contain the documentations of the concepts. In order |
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527 | to avoid document multiplications, an implementation of a concept |
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528 | simply refers to the corresponding concept class. |
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529 | |
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530 | - These classes declare every functions, <tt>typedef</tt>s etc. an |
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531 | implementation of the concepts should provide, however completely |
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532 | without implementations and real data structures behind the |
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533 | interface. On the other hand they should provide nothing else. All |
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534 | the algorithms working on a data structure meeting a certain concept |
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535 | should compile with these classes. (Though it will not run properly, |
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536 | of course.) In this way it is easily to check if an algorithm |
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537 | doesn't use any extra feature of a certain implementation. |
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538 | |
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539 | - The concept descriptor classes also provide a <em>checker class</em> |
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540 | that makes it possible check whether a certain implementation of a |
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541 | concept indeed provides all the required features. |
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542 | |
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543 | - Finally, They can serve as a skeleton of a new implementation of a concept. |
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544 | |
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545 | */ |
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546 | |
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547 | |
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548 | /** |
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549 | @defgroup graph_concepts Graph Structure Concepts |
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550 | @ingroup concept |
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551 | \brief Skeleton and concept checking classes for graph structures |
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552 | |
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553 | This group contains the skeletons and concept checking classes of LEMON's |
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554 | graph structures and helper classes used to implement these. |
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555 | */ |
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556 | |
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557 | /* --- Unused group |
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558 | @defgroup experimental Experimental Structures and Algorithms |
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559 | This group contains some Experimental structures and algorithms. |
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560 | The stuff here is subject to change. |
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561 | */ |
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562 | |
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563 | /** |
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564 | \anchor demoprograms |
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565 | |
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566 | @defgroup demos Demo programs |
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567 | |
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568 | Some demo programs are listed here. Their full source codes can be found in |
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569 | the \c demo subdirectory of the source tree. |
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570 | |
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571 | The standard compilation procedure (<tt>./configure;make</tt>) will compile |
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572 | them, as well. |
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573 | |
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574 | */ |
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575 | |
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576 | /** |
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577 | @defgroup tools Standalone utility applications |
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578 | |
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579 | Some utility applications are listed here. |
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580 | |
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581 | The standard compilation procedure (<tt>./configure;make</tt>) will compile |
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582 | them, as well. |
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583 | |
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584 | */ |
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585 | |
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