3 * This file is a part of LEMON, a generic C++ optimization library
5 * Copyright (C) 2003-2007
6 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
7 * (Egervary Research Group on Combinatorial Optimization, EGRES).
9 * Permission to use, modify and distribute this software is granted
10 * provided that this copyright notice appears in all copies. For
11 * precise terms see the accompanying LICENSE file.
13 * This software is provided "AS IS" with no warranty of any kind,
14 * express or implied, and with no claim as to its suitability for any
20 @defgroup datas Data Structures
21 This group describes the several graph structures implemented in LEMON.
25 @defgroup graphs Graph Structures
27 \brief Graph structures implemented in LEMON.
29 The implementation of combinatorial algorithms heavily relies on
30 efficient graph implementations. LEMON offers data structures which are
31 planned to be easily used in an experimental phase of implementation studies,
32 and thereafter the program code can be made efficient by small modifications.
34 The most efficient implementation of diverse applications require the
35 usage of different physical graph implementations. These differences
36 appear in the size of graph we require to handle, memory or time usage
37 limitations or in the set of operations through which the graph can be
38 accessed. LEMON provides several physical graph structures to meet
39 the diverging requirements of the possible users. In order to save on
40 running time or on memory usage, some structures may fail to provide
41 some graph features like edge or node deletion.
43 Alteration of standard containers need a very limited number of
44 operations, these together satisfy the everyday requirements.
45 In the case of graph structures, different operations are needed which do
46 not alter the physical graph, but gives another view. If some nodes or
47 edges have to be hidden or the reverse oriented graph have to be used, then
48 this is the case. It also may happen that in a flow implementation
49 the residual graph can be accessed by another algorithm, or a node-set
50 is to be shrunk for another algorithm.
51 LEMON also provides a variety of graphs for these requirements called
52 \ref graph_adaptors "graph adaptors". Adaptors cannot be used alone but only
53 in conjunction with other graph representation.
55 You are free to use the graph structure that fit your requirements
56 the best, most graph algorithms and auxiliary data structures can be used
57 with any graph structures.
61 @defgroup semi_adaptors Semi-Adaptors Classes for Graphs
63 \brief Graph types between real graphs and graph adaptors.
65 Graph types between real graphs and graph adaptors. These classes wrap
66 graphs to give new functionality as the adaptors do it. On the other
67 hand they are not light-weight structures as the adaptors.
73 \brief Some special purpose map to make life easier.
75 LEMON provides several special maps that e.g. combine
76 new maps from existing ones.
80 @defgroup graph_maps Graph Maps
82 \brief Special Graph-Related Maps.
84 These maps are specifically designed to assign values to the nodes and edges of
90 \defgroup map_adaptors Map Adaptors
92 \brief Tools to create new maps from existing ones
94 Map adaptors are used to create "implicit" maps from other maps.
96 Most of them are \ref lemon::concepts::ReadMap "ReadMap"s. They can
97 make arithmetic operations between one or two maps (negation, scaling,
98 addition, multiplication etc.) or e.g. convert a map to another one
99 of different Value type.
101 The typical usage of this classes is the passing implicit maps to
102 algorithms. If a function type algorithm is called then the function
103 type map adaptors can be used comfortable. For example let's see the
104 usage of map adaptors with the \c graphToEps() function:
106 Color nodeColor(int deg) {
108 return Color(0.5, 0.0, 0.5);
109 } else if (deg == 1) {
110 return Color(1.0, 0.5, 1.0);
112 return Color(0.0, 0.0, 0.0);
116 Graph::NodeMap<int> degree_map(graph);
118 graphToEps(graph, "graph.eps")
119 .coords(coords).scaleToA4().undirected()
120 .nodeColors(composeMap(functorMap(nodeColor), degree_map))
123 The \c functorMap() function makes an \c int to \c Color map from the
124 \e nodeColor() function. The \c composeMap() compose the \e degree_map
125 and the previous created map. The composed map is proper function to
126 get color of each node.
128 The usage with class type algorithms is little bit harder. In this
129 case the function type map adaptors can not be used, because the
130 function map adaptors give back temporarly objects.
134 typedef Graph::EdgeMap<double> DoubleEdgeMap;
135 DoubleEdgeMap length(graph);
136 DoubleEdgeMap speed(graph);
138 typedef DivMap<DoubleEdgeMap, DoubleEdgeMap> TimeMap;
140 TimeMap time(length, speed);
142 Dijkstra<Graph, TimeMap> dijkstra(graph, time);
143 dijkstra.run(source, target);
146 We have a length map and a maximum speed map on a graph. The minimum
147 time to pass the edge can be calculated as the division of the two
148 maps which can be done implicitly with the \c DivMap template
149 class. We use the implicit minimum time map as the length map of the
150 \c Dijkstra algorithm.
154 @defgroup matrices Matrices
156 \brief Two dimensional data storages.
158 Two dimensional data storages.
162 @defgroup paths Path Structures
164 \brief Path structures implemented in LEMON.
166 LEMON provides flexible data structures
169 All of them have similar interfaces, and it can be copied easily with
170 assignment operator and copy constructor. This make it easy and
171 efficient to have e.g. the Dijkstra algorithm to store its result in
172 any kind of path structure.
174 \sa lemon::concepts::Path
179 @defgroup auxdat Auxiliary Data Structures
181 \brief Some data structures implemented in LEMON.
183 This group describes the data structures implemented in LEMON in
184 order to make it easier to implement combinatorial algorithms.
189 @defgroup algs Algorithms
190 \brief This group describes the several algorithms
191 implemented in LEMON.
193 This group describes the several algorithms
194 implemented in LEMON.
198 @defgroup search Graph Search
200 \brief This group contains the common graph
203 This group contains the common graph
204 search algorithms like Bfs and Dfs.
208 @defgroup shortest_path Shortest Path algorithms
210 \brief This group describes the algorithms
211 for finding shortest paths.
213 This group describes the algorithms for finding shortest paths in
219 @defgroup max_flow Maximum Flow algorithms
221 \brief This group describes the algorithms for finding maximum flows.
223 This group describes the algorithms for finding maximum flows and
224 feasible circulations.
226 The maximum flow problem is to find a flow between a single-source and
227 single-target that is maximum. Formally, there is \f$G=(V,A)\f$
228 directed graph, an \f$c_a:A\rightarrow\mathbf{R}^+_0\f$ capacity
229 function and given \f$s, t \in V\f$ source and target node. The
230 maximum flow is the solution of the next optimization problem:
232 \f[ 0 \le f_a \le c_a \f]
233 \f[ \sum_{v\in\delta^{-}(u)}f_{vu}=\sum_{v\in\delta^{+}(u)}f_{uv} \quad u \in V \setminus \{s,t\}\f]
234 \f[ \max \sum_{v\in\delta^{+}(s)}f_{uv} - \sum_{v\in\delta^{-}(s)}f_{vu}\f]
236 The lemon contains several algorithms for solve maximum flow problems:
237 - \ref lemon::EdmondsKarp "Edmonds-Karp"
238 - \ref lemon::Preflow "Goldberg's Preflow algorithm"
239 - \ref lemon::DinitzSleatorTarjan "Dinitz's blocking flow algorithm with dynamic tree"
240 - \ref lemon::GoldbergTarjan "Preflow algorithm with dynamic trees"
242 In most cases the \ref lemon::Preflow "preflow" algorithm provides the
243 fastest method to compute the maximum flow. All impelementations
244 provides functions for query the minimum cut, which is the dual linear
245 programming probelm of the maximum flow.
250 @defgroup min_cost_flow Minimum Cost Flow algorithms
253 \brief This group describes the algorithms
254 for finding minimum cost flows and circulations.
256 This group describes the algorithms for finding minimum cost flows and
261 @defgroup min_cut Minimum Cut algorithms
264 \brief This group describes the algorithms for finding minimum cut in
267 This group describes the algorithms for finding minimum cut in graphs.
269 The minimum cut problem is to find a non-empty and non-complete
270 \f$X\f$ subset of the vertices with minimum overall capacity on
271 outgoing arcs. Formally, there is \f$G=(V,A)\f$ directed graph, an
272 \f$c_a:A\rightarrow\mathbf{R}^+_0\f$ capacity function. The minimum
273 cut is the solution of the next optimization problem:
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]
277 The lemon contains several algorithms related to minimum cut problems:
279 - \ref lemon::HaoOrlin "Hao-Orlin algorithm" for calculate minimum cut
281 - \ref lemon::NagamochiIbaraki "Nagamochi-Ibaraki algorithm" for
282 calculate minimum cut in undirected graphs
283 - \ref lemon::GomoryHuTree "Gomory-Hu tree computation" for calculate all
284 pairs minimum cut in undirected graphs
286 If you want to find minimum cut just between two distinict nodes,
287 please see the \ref max_flow "Maximum Flow page".
292 @defgroup graph_prop Connectivity and other graph properties
294 \brief This group describes the algorithms
295 for discover the graph properties
297 This group describes the algorithms for discover the graph properties
298 like connectivity, bipartiteness, euler property, simplicity, etc...
300 \image html edge_biconnected_components.png
301 \image latex edge_biconnected_components.eps "bi-edge-connected components" width=\textwidth
305 @defgroup planar Planarity embedding and drawing
307 \brief This group contains algorithms for planarity embedding and drawing
309 This group contains algorithms for planarity checking, embedding and drawing.
311 \image html planar.png
312 \image latex planar.eps "Plane graph" width=\textwidth
316 @defgroup matching Matching algorithms
318 \brief This group describes the algorithms
319 for find matchings in graphs and bipartite graphs.
321 This group provides some algorithm objects and function
322 to calculate matchings in graphs and bipartite graphs.
324 \image html bipartite_matching.png
325 \image latex bipartite_matching.eps "Bipartite Matching" width=\textwidth
330 @defgroup spantree Minimum Spanning Tree algorithms
332 \brief This group contains the algorithms for finding a minimum cost spanning
335 This group contains the algorithms for finding a minimum cost spanning
341 @defgroup auxalg Auxiliary algorithms
343 \brief Some algorithms implemented in LEMON.
345 This group describes the algorithms in LEMON in order to make
346 it easier to implement complex algorithms.
350 @defgroup approx Approximation algorithms
351 \brief Approximation algorithms
353 Approximation and heuristic algorithms
357 @defgroup gen_opt_group General Optimization Tools
358 \brief This group describes some general optimization frameworks
359 implemented in LEMON.
361 This group describes some general optimization frameworks
362 implemented in LEMON.
367 @defgroup lp_group Lp and Mip solvers
368 @ingroup gen_opt_group
369 \brief Lp and Mip solver interfaces for LEMON.
371 This group describes Lp and Mip solver interfaces for LEMON. The
372 various LP solvers could be used in the same manner with this
378 @defgroup lp_utils Tools for Lp and Mip solvers
380 \brief This group adds some helper tools to the Lp and Mip solvers
381 implemented in LEMON.
383 This group adds some helper tools to general optimization framework
384 implemented in LEMON.
388 @defgroup metah Metaheuristics
389 @ingroup gen_opt_group
390 \brief Metaheuristics for LEMON library.
392 This group contains some metaheuristic optimization tools.
396 @defgroup utils Tools and Utilities
397 \brief Tools and Utilities for Programming in LEMON
399 Tools and Utilities for Programming in LEMON
403 @defgroup gutils Basic Graph Utilities
405 \brief This group describes some simple basic graph utilities.
407 This group describes some simple basic graph utilities.
411 @defgroup misc Miscellaneous Tools
413 Here you can find several useful tools for development,
414 debugging and testing.
419 @defgroup timecount Time measuring and Counting
421 Here you can find simple tools for measuring the performance
426 @defgroup graphbits Tools for Graph Implementation
428 \brief Tools to Make It Easier to Make Graphs.
430 This group describes the tools that makes it easier to make graphs and
431 the maps that dynamically update with the graph changes.
435 @defgroup exceptions Exceptions
437 This group contains the exceptions thrown by LEMON library
441 @defgroup io_group Input-Output
442 \brief Several Graph Input-Output methods
444 Here you can find tools for importing and exporting graphs
445 and graph related data. Now it supports the LEMON format, the
446 \c DIMACS format and the encapsulated postscript format.
450 @defgroup lemon_io Lemon Input-Output
452 \brief Reading and writing LEMON format
454 Methods for reading and writing LEMON format. More about this
455 format you can find on the \ref graph-io-page "Graph Input-Output"
460 @defgroup section_io Section readers and writers
462 \brief Section readers and writers for lemon Input-Output.
464 Here you can find which section readers and writers can attach to
465 the LemonReader and LemonWriter.
469 @defgroup item_io Item Readers and Writers
471 \brief Item readers and writers for lemon Input-Output.
473 The Input-Output classes can handle more data type by example
474 as map or attribute value. Each of these should be written and
475 read some way. The module make possible to do this.
479 @defgroup eps_io Postscript exporting
481 \brief General \c EPS drawer and graph exporter
483 This group contains general \c EPS drawing methods and special
484 graph exporting tools.
489 @defgroup concept Concepts
490 \brief Skeleton classes and concept checking classes
492 This group describes the data/algorithm skeletons and concept checking
493 classes implemented in LEMON.
495 The purpose of the classes in this group is fourfold.
497 - These classes contain the documentations of the concepts. In order
498 to avoid document multiplications, an implementation of a concept
499 simply refers to the corresponding concept class.
501 - These classes declare every functions, <tt>typedef</tt>s etc. an
502 implementation of the concepts should provide, however completely
503 without implementations and real data structures behind the
504 interface. On the other hand they should provide nothing else. All
505 the algorithms working on a data structure meeting a certain concept
506 should compile with these classes. (Though it will not run properly,
507 of course.) In this way it is easily to check if an algorithm
508 doesn't use any extra feature of a certain implementation.
510 - The concept descriptor classes also provide a <em>checker class</em>
511 that makes it possible check whether a certain implementation of a
512 concept indeed provides all the required features.
514 - Finally, They can serve as a skeleton of a new implementation of a concept.
520 @defgroup graph_concepts Graph Structure Concepts
522 \brief Skeleton and concept checking classes for graph structures
524 This group contains the skeletons and concept checking classes of LEMON's
525 graph structures and helper classes used to implement these.
529 @defgroup experimental Experimental Structures and Algorithms
530 This group contains some Experimental structures and algorithms.
531 The stuff here is subject to change.
537 @defgroup demos Demo programs
539 Some demo programs are listed here. Their full source codes can be found in
540 the \c demo subdirectory of the source tree.
542 The standard compilation procedure (<tt>./configure;make</tt>) will compile
548 @defgroup tools Standalone utility applications
550 Some utility applications are listed here.
552 The standard compilation procedure (<tt>./configure;make</tt>) will compile