Changes in doc/groups.dox [318:1e2d6ca80793:963:3ed8f7c8bed8] in lemon

File:

• doc/groups.dox (modified) (26 diffs)

doc/groups.dox

@@ -3 +3 @@
  * This file is a part of LEMON, a generic C++ optimization library.
  *
- * Copyright (C) 2003-2008
+ * Copyright (C) 2003-2010
  * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
  * (Egervary Research Group on Combinatorial Optimization, EGRES).
@@ -17 +17 @@
  */
 
+namespace lemon {
+
 /**
 @defgroup datas Data Structures
-This group describes the several data structures implemented in LEMON.
+This group contains the several data structures implemented in LEMON.
 */
 
@@ -61 +63 @@
 
 /**
-@defgroup semi_adaptors Semi-Adaptor Classes for Graphs
+@defgroup graph_adaptors Adaptor Classes for Graphs
 @ingroup graphs
-\brief Graph types between real graphs and graph adaptors.
-
-This group describes some graph types between real graphs and graph adaptors.
-These classes wrap graphs to give new functionality as the adaptors do it.
-On the other hand they are not light-weight structures as the adaptors.
+\brief Adaptor classes for digraphs and graphs
+
+This group contains several useful adaptor classes for digraphs and graphs.
+
+The main parts of LEMON are the different graph structures, generic
+graph algorithms, graph concepts, which couple them, and graph
+adaptors. While the previous notions are more or less clear, the
+latter one needs further explanation. Graph adaptors are graph classes
+which serve for considering graph structures in different ways.
+
+A short example makes this much clearer.  Suppose that we have an
+instance \c g of a directed graph type, say ListDigraph and an algorithm
+\code
+template <typename Digraph>
+int algorithm(const Digraph&);
+\endcode
+is needed to run on the reverse oriented graph.  It may be expensive
+(in time or in memory usage) to copy \c g with the reversed
+arcs.  In this case, an adaptor class is used, which (according
+to LEMON \ref concepts::Digraph "digraph concepts") works as a digraph.
+The adaptor uses the original digraph structure and digraph operations when
+methods of the reversed oriented graph are called.  This means that the adaptor
+have minor memory usage, and do not perform sophisticated algorithmic
+actions.  The purpose of it is to give a tool for the cases when a
+graph have to be used in a specific alteration.  If this alteration is
+obtained by a usual construction like filtering the node or the arc set or
+considering a new orientation, then an adaptor is worthwhile to use.
+To come back to the reverse oriented graph, in this situation
+\code
+template<typename Digraph> class ReverseDigraph;
+\endcode
+template class can be used. The code looks as follows
+\code
+ListDigraph g;
+ReverseDigraph<ListDigraph> rg(g);
+int result = algorithm(rg);
+\endcode
+During running the algorithm, the original digraph \c g is untouched.
+This techniques give rise to an elegant code, and based on stable
+graph adaptors, complex algorithms can be implemented easily.
+
+In flow, circulation and matching problems, the residual
+graph is of particular importance. Combining an adaptor implementing
+this with shortest path algorithms or minimum mean cycle algorithms,
+a range of weighted and cardinality optimization algorithms can be
+obtained. For other examples, the interested user is referred to the
+detailed documentation of particular adaptors.
+
+The behavior of graph adaptors can be very different. Some of them keep
+capabilities of the original graph while in other cases this would be
+meaningless. This means that the concepts that they meet depend
+on the graph adaptor, and the wrapped graph.
+For example, if an arc of a reversed digraph is deleted, this is carried
+out by deleting the corresponding arc of the original digraph, thus the
+adaptor modifies the original digraph.
+However in case of a residual digraph, this operation has no sense.
+
+Let us stand one more example here to simplify your work.
+ReverseDigraph has constructor
+\code
+ReverseDigraph(Digraph& digraph);
+\endcode
+This means that in a situation, when a <tt>const %ListDigraph&</tt>
+reference to a graph is given, then it have to be instantiated with
+<tt>Digraph=const %ListDigraph</tt>.
+\code
+int algorithm1(const ListDigraph& g) {
+  ReverseDigraph<const ListDigraph> rg(g);
+  return algorithm2(rg);
+}
+\endcode
 */
 
@@ -75 +143 @@
 \brief Map structures implemented in LEMON.
 
-This group describes the map structures implemented in LEMON.
+This group contains the map structures implemented in LEMON.
 
 LEMON provides several special purpose maps and map adaptors that e.g. combine
@@ -88 +156 @@
 \brief Special graph-related maps.
 
-This group describes maps that are specifically designed to assign
-values to the nodes and arcs of graphs.
+This group contains maps that are specifically designed to assign
+values to the nodes and arcs/edges of graphs.
+
+If you are looking for the standard graph maps (\c NodeMap, \c ArcMap,
+\c EdgeMap), see the \ref graph_concepts "Graph Structure Concepts".
 */
 
@@ -97 +168 @@
 \brief Tools to create new maps from existing ones
 
-This group describes map adaptors that are used to create "implicit"
+This group contains map adaptors that are used to create "implicit"
 maps from other maps.
 
-Most of them are \ref lemon::concepts::ReadMap "read-only maps".
+Most of them are \ref concepts::ReadMap "read-only maps".
 They can make arithmetic and logical operations between one or two maps
 (negation, shifting, addition, multiplication, logical 'and', 'or',
@@ -156 +227 @@
 
 /**
-@defgroup matrices Matrices
-@ingroup datas
-\brief Two dimensional data storages implemented in LEMON.
-
-This group describes two dimensional data storages implemented in LEMON.
-*/
-
-/**
 @defgroup paths Path Structures
 @ingroup datas
 \brief %Path structures implemented in LEMON.
 
-This group describes the path structures implemented in LEMON.
+This group contains the path structures implemented in LEMON.
 
 LEMON provides flexible data structures to work with paths.
@@ -176 +239 @@
 any kind of path structure.
 
-\sa lemon::concepts::Path
+\sa \ref concepts::Path "Path concept"
+*/
+
+/**
+@defgroup heaps Heap Structures
+@ingroup datas
+\brief %Heap structures implemented in LEMON.
+
+This group contains the heap structures implemented in LEMON.
+
+LEMON provides several heap classes. They are efficient implementations
+of the abstract data type \e priority \e queue. They store items with
+specified values called \e priorities in such a way that finding and
+removing the item with minimum priority are efficient.
+The basic operations are adding and erasing items, changing the priority
+of an item, etc.
+
+Heaps are crucial in several algorithms, such as Dijkstra and Prim.
+The heap implementations have the same interface, thus any of them can be
+used easily in such algorithms.
+
+\sa \ref concepts::Heap "Heap concept"
 */
 
@@ -184 +268 @@
 \brief Auxiliary data structures implemented in LEMON.
 
-This group describes some data structures implemented in LEMON in
+This group contains some data structures implemented in LEMON in
 order to make it easier to implement combinatorial algorithms.
 */
 
 /**
+@defgroup geomdat Geometric Data Structures
+@ingroup auxdat
+\brief Geometric data structures implemented in LEMON.
+
+This group contains geometric data structures implemented in LEMON.
+
+ - \ref lemon::dim2::Point "dim2::Point" implements a two dimensional
+   vector with the usual operations.
+ - \ref lemon::dim2::Box "dim2::Box" can be used to determine the
+   rectangular bounding box of a set of \ref lemon::dim2::Point
+   "dim2::Point"'s.
+*/
+
+/**
 @defgroup algs Algorithms
-\brief This group describes the several algorithms
+\brief This group contains the several algorithms
 implemented in LEMON.
 
-This group describes the several algorithms
+This group contains the several algorithms
 implemented in LEMON.
 */
@@ -202 +300 @@
 \brief Common graph search algorithms.
 
-This group describes the common graph search algorithms like
-Breadth-First Search (BFS) and Depth-First Search (DFS).
+This group contains the common graph search algorithms, namely
+\e breadth-first \e search (BFS) and \e depth-first \e search (DFS)
+\ref clrs01algorithms.
 */
 
@@ -211 +310 @@
 \brief Algorithms for finding shortest paths.
 
-This group describes the algorithms for finding shortest paths in graphs.
+This group contains the algorithms for finding shortest paths in digraphs
+\ref clrs01algorithms.
+
+ - \ref Dijkstra algorithm for finding shortest paths from a source node
+   when all arc lengths are non-negative.
+ - \ref BellmanFord "Bellman-Ford" algorithm for finding shortest paths
+   from a source node when arc lenghts can be either positive or negative,
+   but the digraph should not contain directed cycles with negative total
+   length.
+ - \ref Suurballe A successive shortest path algorithm for finding
+   arc-disjoint paths between two nodes having minimum total length.
+*/
+
+/**
+@defgroup spantree Minimum Spanning Tree Algorithms
+@ingroup algs
+\brief Algorithms for finding minimum cost spanning trees and arborescences.
+
+This group contains the algorithms for finding minimum cost spanning
+trees and arborescences \ref clrs01algorithms.
 */
 
@@ -219 +337 @@
 \brief Algorithms for finding maximum flows.
 
-This group describes the algorithms for finding maximum flows and
-feasible circulations.
-
-The maximum flow problem is to find a flow between a single source and
-a single target that is maximum. Formally, there is a \f$G=(V,A)\f$
-directed graph, an \f$c_a:A\rightarrow\mathbf{R}^+_0\f$ capacity
-function and given \f$s, t \in V\f$ source and target node. The
-maximum flow is the \f$f_a\f$ solution of the next optimization problem:
-
-\f[ 0 \le f_a \le c_a \f]
-\f[ \sum_{v\in\delta^{-}(u)}f_{vu}=\sum_{v\in\delta^{+}(u)}f_{uv}
-\qquad \forall u \in V \setminus \{s,t\}\f]
-\f[ \max \sum_{v\in\delta^{+}(s)}f_{uv} - \sum_{v\in\delta^{-}(s)}f_{vu}\f]
-
-LEMON contains several algorithms for solving maximum flow problems:
-- \ref lemon::EdmondsKarp "Edmonds-Karp"
-- \ref lemon::Preflow "Goldberg's Preflow algorithm"
-- \ref lemon::DinitzSleatorTarjan "Dinitz's blocking flow algorithm with dynamic trees"
-- \ref lemon::GoldbergTarjan "Preflow algorithm with dynamic trees"
-
-In most cases the \ref lemon::Preflow "Preflow" algorithm provides the
-fastest method to compute the maximum flow. All impelementations
-provides functions to query the minimum cut, which is the dual linear
-programming problem of the maximum flow.
-*/
-
-/**
-@defgroup min_cost_flow Minimum Cost Flow Algorithms
+This group contains the algorithms for finding maximum flows and
+feasible circulations \ref clrs01algorithms, \ref amo93networkflows.
+
+The \e maximum \e flow \e problem is to find a flow of maximum value between
+a single source and a single target. Formally, there is a \f$G=(V,A)\f$
+digraph, a \f$cap: A\rightarrow\mathbf{R}^+_0\f$ capacity function and
+\f$s, t \in V\f$ source and target nodes.
+A maximum flow is an \f$f: A\rightarrow\mathbf{R}^+_0\f$ solution of the
+following optimization problem.
+
+\f[ \max\sum_{sv\in A} f(sv) - \sum_{vs\in A} f(vs) \f]
+\f[ \sum_{uv\in A} f(uv) = \sum_{vu\in A} f(vu)
+    \quad \forall u\in V\setminus\{s,t\} \f]
+\f[ 0 \leq f(uv) \leq cap(uv) \quad \forall uv\in A \f]
+
+\ref Preflow is an efficient implementation of Goldberg-Tarjan's
+preflow push-relabel algorithm \ref goldberg88newapproach for finding
+maximum flows. It also provides functions to query the minimum cut,
+which is the dual problem of maximum flow.
+
+\ref Circulation is a preflow push-relabel algorithm implemented directly
+for finding feasible circulations, which is a somewhat different problem,
+but it is strongly related to maximum flow.
+For more information, see \ref Circulation.
+*/
+
+/**
+@defgroup min_cost_flow_algs Minimum Cost Flow Algorithms
 @ingroup algs
 
 \brief Algorithms for finding minimum cost flows and circulations.
 
-This group describes the algorithms for finding minimum cost flows and
-circulations.
+This group contains the algorithms for finding minimum cost flows and
+circulations \ref amo93networkflows. For more information about this
+problem and its dual solution, see \ref min_cost_flow
+"Minimum Cost Flow Problem".
+
+LEMON contains several algorithms for this problem.
+ - \ref NetworkSimplex Primal Network Simplex algorithm with various
+   pivot strategies \ref dantzig63linearprog, \ref kellyoneill91netsimplex.
+ - \ref CostScaling Cost Scaling algorithm based on push/augment and
+   relabel operations \ref goldberg90approximation, \ref goldberg97efficient,
+   \ref bunnagel98efficient.
+ - \ref CapacityScaling Capacity Scaling algorithm based on the successive
+   shortest path method \ref edmondskarp72theoretical.
+ - \ref CycleCanceling Cycle-Canceling algorithms, two of which are
+   strongly polynomial \ref klein67primal, \ref goldberg89cyclecanceling.
+
+In general NetworkSimplex is the most efficient implementation,
+but in special cases other algorithms could be faster.
+For example, if the total supply and/or capacities are rather small,
+CapacityScaling is usually the fastest algorithm (without effective scaling).
 */
 
@@ -261 +397 @@
 \brief Algorithms for finding minimum cut in graphs.
 
-This group describes the algorithms for finding minimum cut in graphs.
-
-The minimum cut problem is to find a non-empty and non-complete
-\f$X\f$ subset of the vertices with minimum overall capacity on
-outgoing arcs. Formally, there is \f$G=(V,A)\f$ directed graph, an
-\f$c_a:A\rightarrow\mathbf{R}^+_0\f$ capacity function. The minimum
+This group contains the algorithms for finding minimum cut in graphs.
+
+The \e minimum \e cut \e problem is to find a non-empty and non-complete
+\f$X\f$ subset of the nodes with minimum overall capacity on
+outgoing arcs. Formally, there is a \f$G=(V,A)\f$ digraph, a
+\f$cap: A\rightarrow\mathbf{R}^+_0\f$ capacity function. The minimum
 cut is the \f$X\f$ solution of the next optimization problem:
 
 \f[ \min_{X \subset V, X\not\in \{\emptyset, V\}}
-\sum_{uv\in A, u\in X, v\not\in X}c_{uv}\f]
+    \sum_{uv\in A: u\in X, v\not\in X}cap(uv) \f]
 
 LEMON contains several algorithms related to minimum cut problems:
 
-- \ref lemon::HaoOrlin "Hao-Orlin algorithm" to calculate minimum cut
-  in directed graphs
-- \ref lemon::NagamochiIbaraki "Nagamochi-Ibaraki algorithm" to
-  calculate minimum cut in undirected graphs
-- \ref lemon::GomoryHuTree "Gomory-Hu tree computation" to calculate all
-  pairs minimum cut in undirected graphs
+- \ref HaoOrlin "Hao-Orlin algorithm" for calculating minimum cut
+  in directed graphs.
+- \ref GomoryHu "Gomory-Hu tree computation" for calculating
+  all-pairs minimum cut in undirected graphs.
 
 If you want to find minimum cut just between two distinict nodes,
-please see the \ref max_flow "Maximum Flow page".
-*/
-
-/**
-@defgroup graph_prop Connectivity and Other Graph Properties
-@ingroup algs
-\brief Algorithms for discovering the graph properties
-
-This group describes the algorithms for discovering the graph properties
-like connectivity, bipartiteness, euler property, simplicity etc.
-
-\image html edge_biconnected_components.png
-\image latex edge_biconnected_components.eps "bi-edge-connected components" width=\textwidth
-*/
-
-/**
-@defgroup planar Planarity Embedding and Drawing
-@ingroup algs
-\brief Algorithms for planarity checking, embedding and drawing
-
-This group describes the algorithms for planarity checking,
-embedding and drawing.
-
-\image html planar.png
-\image latex planar.eps "Plane graph" width=\textwidth
+see the \ref max_flow "maximum flow problem".
+*/
+
+/**
+@defgroup min_mean_cycle Minimum Mean Cycle Algorithms
+@ingroup algs
+\brief Algorithms for finding minimum mean cycles.
+
+This group contains the algorithms for finding minimum mean cycles
+\ref clrs01algorithms, \ref amo93networkflows.
+
+The \e minimum \e mean \e cycle \e problem is to find a directed cycle
+of minimum mean length (cost) in a digraph.
+The mean length of a cycle is the average length of its arcs, i.e. the
+ratio between the total length of the cycle and the number of arcs on it.
+
+This problem has an important connection to \e conservative \e length
+\e functions, too. A length function on the arcs of a digraph is called
+conservative if and only if there is no directed cycle of negative total
+length. For an arbitrary length function, the negative of the minimum
+cycle mean is the smallest \f$\epsilon\f$ value so that increasing the
+arc lengths uniformly by \f$\epsilon\f$ results in a conservative length
+function.
+
+LEMON contains three algorithms for solving the minimum mean cycle problem:
+- \ref KarpMmc Karp's original algorithm \ref amo93networkflows,
+  \ref dasdan98minmeancycle.
+- \ref HartmannOrlinMmc Hartmann-Orlin's algorithm, which is an improved
+  version of Karp's algorithm \ref dasdan98minmeancycle.
+- \ref HowardMmc Howard's policy iteration algorithm
+  \ref dasdan98minmeancycle.
+
+In practice, the \ref HowardMmc "Howard" algorithm proved to be by far the
+most efficient one, though the best known theoretical bound on its running
+time is exponential.
+Both \ref KarpMmc "Karp" and \ref HartmannOrlinMmc "Hartmann-Orlin" algorithms
+run in time O(ne) and use space O(n<sup>2</sup>+e), but the latter one is
+typically faster due to the applied early termination scheme.
 */
 
@@ -314 +461 @@
 \brief Algorithms for finding matchings in graphs and bipartite graphs.
 
-This group contains algorithm objects and functions to calculate
+This group contains the algorithms for calculating
 matchings in graphs and bipartite graphs. The general matching problem is
-finding a subset of the arcs which does not shares common endpoints.
+finding a subset of the edges for which each node has at most one incident
+edge.
 
 There are several different algorithms for calculate matchings in
 graphs.  The matching problems in bipartite graphs are generally
 easier than in general graphs. The goal of the matching optimization
-can be the finding maximum cardinality, maximum weight or minimum cost
+can be finding maximum cardinality, maximum weight or minimum cost
 matching. The search can be constrained to find perfect or
 maximum cardinality matching.
 
-LEMON contains the next algorithms:
-- \ref lemon::MaxBipartiteMatching "MaxBipartiteMatching" Hopcroft-Karp
-  augmenting path algorithm for calculate maximum cardinality matching in
-  bipartite graphs
-- \ref lemon::PrBipartiteMatching "PrBipartiteMatching" Push-Relabel
-  algorithm for calculate maximum cardinality matching in bipartite graphs
-- \ref lemon::MaxWeightedBipartiteMatching "MaxWeightedBipartiteMatching"
-  Successive shortest path algorithm for calculate maximum weighted matching
-  and maximum weighted bipartite matching in bipartite graph
-- \ref lemon::MinCostMaxBipartiteMatching "MinCostMaxBipartiteMatching"
-  Successive shortest path algorithm for calculate minimum cost maximum
-  matching in bipartite graph
-- \ref lemon::MaxMatching "MaxMatching" Edmond's blossom shrinking algorithm
-  for calculate maximum cardinality matching in general graph
-- \ref lemon::MaxWeightedMatching "MaxWeightedMatching" Edmond's blossom
-  shrinking algorithm for calculate maximum weighted matching in general
-  graph
-- \ref lemon::MaxWeightedPerfectMatching "MaxWeightedPerfectMatching"
-  Edmond's blossom shrinking algorithm for calculate maximum weighted
-  perfect matching in general graph
-
-\image html bipartite_matching.png
-\image latex bipartite_matching.eps "Bipartite Matching" width=\textwidth
-*/
-
-/**
-@defgroup spantree Minimum Spanning Tree Algorithms
-@ingroup algs
-\brief Algorithms for finding a minimum cost spanning tree in a graph.
-
-This group describes the algorithms for finding a minimum cost spanning
-tree in a graph
+The matching algorithms implemented in LEMON:
+- \ref MaxMatching Edmond's blossom shrinking algorithm for calculating
+  maximum cardinality matching in general graphs.
+- \ref MaxWeightedMatching Edmond's blossom shrinking algorithm for calculating
+  maximum weighted matching in general graphs.
+- \ref MaxWeightedPerfectMatching
+  Edmond's blossom shrinking algorithm for calculating maximum weighted
+  perfect matching in general graphs.
+- \ref MaxFractionalMatching Push-relabel algorithm for calculating
+  maximum cardinality fractional matching in general graphs.
+- \ref MaxWeightedFractionalMatching Augmenting path algorithm for calculating
+  maximum weighted fractional matching in general graphs.
+- \ref MaxWeightedPerfectFractionalMatching
+  Augmenting path algorithm for calculating maximum weighted
+  perfect fractional matching in general graphs.
+
+\image html matching.png
+\image latex matching.eps "Min Cost Perfect Matching" width=\textwidth
+*/
+
+/**
+@defgroup graph_properties Connectivity and Other Graph Properties
+@ingroup algs
+\brief Algorithms for discovering the graph properties
+
+This group contains the algorithms for discovering the graph properties
+like connectivity, bipartiteness, euler property, simplicity etc.
+
+\image html connected_components.png
+\image latex connected_components.eps "Connected components" width=\textwidth
+*/
+
+/**
+@defgroup planar Planarity Embedding and Drawing
+@ingroup algs
+\brief Algorithms for planarity checking, embedding and drawing
+
+This group contains the algorithms for planarity checking,
+embedding and drawing.
+
+\image html planar.png
+\image latex planar.eps "Plane graph" width=\textwidth
 */
 
@@ -364 +522 @@
 \brief Auxiliary algorithms implemented in LEMON.
 
-This group describes some algorithms implemented in LEMON
+This group contains some algorithms implemented in LEMON
 in order to make it easier to implement complex algorithms.
 */
 
 /**
-@defgroup approx Approximation Algorithms
-@ingroup algs
-\brief Approximation algorithms.
-
-This group describes the approximation and heuristic algorithms
+@defgroup gen_opt_group General Optimization Tools
+\brief This group contains some general optimization frameworks
 implemented in LEMON.
-*/
-
-/**
-@defgroup gen_opt_group General Optimization Tools
-\brief This group describes some general optimization frameworks
+
+This group contains some general optimization frameworks
 implemented in LEMON.
-
-This group describes some general optimization frameworks
-implemented in LEMON.
-*/
-
-/**
-@defgroup lp_group Lp and Mip Solvers
+*/
+
+/**
+@defgroup lp_group LP and MIP Solvers
 @ingroup gen_opt_group
-\brief Lp and Mip solver interfaces for LEMON.
-
-This group describes Lp and Mip solver interfaces for LEMON. The
-various LP solvers could be used in the same manner with this
-interface.
-*/
-
-/**
-@defgroup lp_utils Tools for Lp and Mip Solvers
-@ingroup lp_group
-\brief Helper tools to the Lp and Mip solvers.
-
-This group adds some helper tools to general optimization framework
-implemented in LEMON.
-*/
-
-/**
-@defgroup metah Metaheuristics
-@ingroup gen_opt_group
-\brief Metaheuristics for LEMON library.
-
-This group describes some metaheuristic optimization tools.
+\brief LP and MIP solver interfaces for LEMON.
+
+This group contains LP and MIP solver interfaces for LEMON.
+Various LP solvers could be used in the same manner with this
+high-level interface.
+
+The currently supported solvers are \ref glpk, \ref clp, \ref cbc,
+\ref cplex, \ref soplex.
 */
 
@@ -425 +560 @@
 \brief Simple basic graph utilities.
 
-This group describes some simple basic graph utilities.
+This group contains some simple basic graph utilities.
 */
 
@@ -433 +568 @@
 \brief Tools for development, debugging and testing.
 
-This group describes several useful tools for development,
+This group contains several useful tools for development,
 debugging and testing.
 */
@@ -442 +577 @@
 \brief Simple tools for measuring the performance of algorithms.
 
-This group describes simple tools for measuring the performance
+This group contains simple tools for measuring the performance
 of algorithms.
 */
@@ -451 +586 @@
 \brief Exceptions defined in LEMON.
 
-This group describes the exceptions defined in LEMON.
+This group contains the exceptions defined in LEMON.
 */
 
@@ -458 +593 @@
 \brief Graph Input-Output methods
 
-This group describes the tools for importing and exporting graphs
+This group contains the tools for importing and exporting graphs
 and graph related data. Now it supports the \ref lgf-format
 "LEMON Graph Format", the \c DIMACS format and the encapsulated
@@ -465 +600 @@
 
 /**
-@defgroup lemon_io LEMON Input-Output
+@defgroup lemon_io LEMON Graph Format
 @ingroup io_group
 \brief Reading and writing LEMON Graph Format.
 
-This group describes methods for reading and writing
+This group contains methods for reading and writing
 \ref lgf-format "LEMON Graph Format".
 */
@@ -478 +613 @@
 \brief General \c EPS drawer and graph exporter
 
-This group describes general \c EPS drawing methods and special
+This group contains general \c EPS drawing methods and special
 graph exporting tools.
+*/
+
+/**
+@defgroup dimacs_group DIMACS Format
+@ingroup io_group
+\brief Read and write files in DIMACS format
+
+Tools to read a digraph from or write it to a file in DIMACS format data.
+*/
+
+/**
+@defgroup nauty_group NAUTY Format
+@ingroup io_group
+\brief Read \e Nauty format
+
+Tool to read graphs from \e Nauty format data.
 */
 
@@ -486 +637 @@
 \brief Skeleton classes and concept checking classes
 
-This group describes the data/algorithm skeletons and concept checking
+This group contains the data/algorithm skeletons and concept checking
 classes implemented in LEMON.
 
@@ -516 +667 @@
 \brief Skeleton and concept checking classes for graph structures
 
-This group describes the skeletons and concept checking classes of LEMON's
-graph structures and helper classes used to implement these.
+This group contains the skeletons and concept checking classes of
+graph structures.
 */
 
@@ -525 +676 @@
 \brief Skeleton and concept checking classes for maps
 
-This group describes the skeletons and concept checking classes of maps.
+This group contains the skeletons and concept checking classes of maps.
+*/
+
+/**
+@defgroup tools Standalone Utility Applications
+
+Some utility applications are listed here.
+
+The standard compilation procedure (<tt>./configure;make</tt>) will compile
+them, as well.
 */
 
@@ -531 +691 @@
 \anchor demoprograms
 
-@defgroup demos Demo programs
+@defgroup demos Demo Programs
 
 Some demo programs are listed here. Their full source codes can be found in
 the \c demo subdirectory of the source tree.
 
-It order to compile them, use <tt>--enable-demo</tt> configure option when
-build the library.
-*/
-
-/**
-@defgroup tools Standalone utility applications
-
-Some utility applications are listed here.
-
-The standard compilation procedure (<tt>./configure;make</tt>) will compile
-them, as well.
-*/
-
+In order to compile them, use the <tt>make demo</tt> or the
+<tt>make check</tt> commands.
+*/
+
+}