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/**
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@defgroup algs Algorithms
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\brief This group describes the several algorithms
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implemented in LEMON.
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This group describes the several algorithms
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implemented in LEMON.
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*/
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/**
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@defgroup search Graph Search
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@ingroup algs
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\brief This group contains the common graph
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search algorithms.
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This group contains the common graph
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search algorithms like Bfs and Dfs.
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*/
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/**
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@defgroup shortest_path Shortest Path algorithms
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@ingroup algs
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\brief This group describes the algorithms
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for finding shortest paths.
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This group describes the algorithms for finding shortest paths in
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graphs.
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*/
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/**
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@defgroup max_flow Maximum Flow algorithms
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@ingroup algs
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\brief This group describes the algorithms for finding maximum flows.
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This group describes the algorithms for finding maximum flows and
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feasible circulations.
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The maximum flow problem is to find a flow between a single-source and
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single-target that is maximum. Formally, there is \f$G=(V,A)\f$
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directed graph, an \f$c_a:A\rightarrow\mathbf{R}^+_0\f$ capacity
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function and given \f$s, t \in V\f$ source and target node. The
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maximum flow is the solution of the next optimization problem:
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\f[ 0 \le f_a \le c_a \f]
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\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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\f[ \max \sum_{v\in\delta^{+}(s)}f_{uv} - \sum_{v\in\delta^{-}(s)}f_{vu}\f]
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The lemon contains several algorithms for solve maximum flow problems:
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- \ref lemon::EdmondsKarp "Edmonds-Karp"
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- \ref lemon::Preflow "Goldberg's Preflow algorithm"
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- \ref lemon::DinitzSleatorTarjan "Dinitz's blocking flow algorithm with dynamic tree"
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- \ref lemon::GoldbergTarjan "Preflow algorithm with dynamic trees"
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In most cases the \ref lemon::Preflow "preflow" algorithm provides the
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fastest method to compute the maximum flow. All impelementations
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provides functions for query the minimum cut, which is the dual linear
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programming probelm of the maximum flow.
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*/
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/**
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@defgroup min_cost_flow Minimum Cost Flow algorithms
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@ingroup algs
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\brief This group describes the algorithms
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for finding minimum cost flows and circulations.
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This group describes the algorithms for finding minimum cost flows and
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circulations.
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*/
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/**
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@defgroup min_cut Minimum Cut algorithms
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@ingroup algs
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\brief This group describes the algorithms for finding minimum cut in
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graphs.
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This group describes the algorithms for finding minimum cut in graphs.
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The minimum cut problem is to find a non-empty and non-complete
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\f$X\f$ subset of the vertices with minimum overall capacity on
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outgoing arcs. Formally, there is \f$G=(V,A)\f$ directed graph, an
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\f$c_a:A\rightarrow\mathbf{R}^+_0\f$ capacity function. The minimum
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cut is the solution of the next optimization problem:
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\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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The lemon contains several algorithms related to minimum cut problems:
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- \ref lemon::HaoOrlin "Hao-Orlin algorithm" for calculate minimum cut
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in directed graphs
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- \ref lemon::NagamochiIbaraki "Nagamochi-Ibaraki algorithm" for
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calculate minimum cut in undirected graphs
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- \ref lemon::GomoryHuTree "Gomory-Hu tree computation" for calculate all
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pairs minimum cut in undirected graphs
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If you want to find minimum cut just between two distinict nodes,
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please see the \ref max_flow "Maximum Flow page".
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*/
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/**
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@defgroup graph_prop Connectivity and other graph properties
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@ingroup algs
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\brief This group describes the algorithms
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for discover the graph properties
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This group describes the algorithms for discover the graph properties
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like connectivity, bipartiteness, euler property, simplicity, etc...
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\image html edge_biconnected_components.png
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\image latex edge_biconnected_components.eps "bi-edge-connected components" width=\textwidth
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*/
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/**
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@defgroup planar Planarity embedding and drawing
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@ingroup algs
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\brief This group contains algorithms for planarity embedding and drawing
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This group contains algorithms for planarity checking, embedding and drawing.
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\image html planar.png
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\image latex planar.eps "Plane graph" width=\textwidth
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*/
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/**
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@defgroup matching Matching algorithms
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@ingroup algs
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\brief This group describes the algorithms
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for find matchings in graphs and bipartite graphs.
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This group provides some algorithm objects and function to calculate
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matchings in graphs and bipartite graphs. The general matching problem is
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finding a subset of the edges which does not shares common endpoints.
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There are several different algorithms for calculate matchings in
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graphs. The matching problems in bipartite graphs are generally
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easier than in general graphs. The goal of the matching optimization
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can be the finding maximum cardinality, maximum weight or minimum cost
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matching. The search can be constrained to find perfect or
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maximum cardinality matching.
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Lemon contains the next algorithms:
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- \ref lemon::MaxBipartiteMatching "MaxBipartiteMatching" Hopcroft-Karp
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augmenting path algorithm for calculate maximum cardinality matching in
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bipartite graphs
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- \ref lemon::PrBipartiteMatching "PrBipartiteMatching" Push-Relabel
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algorithm for calculate maximum cardinality matching in bipartite graphs
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- \ref lemon::MaxWeightedBipartiteMatching "MaxWeightedBipartiteMatching"
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Successive shortest path algorithm for calculate maximum weighted matching
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and maximum weighted bipartite matching in bipartite graph
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- \ref lemon::MinCostMaxBipartiteMatching "MinCostMaxBipartiteMatching"
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Successive shortest path algorithm for calculate minimum cost maximum
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matching in bipartite graph
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- \ref lemon::MaxMatching "MaxMatching" Edmond's blossom shrinking algorithm
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for calculate maximum cardinality matching in general graph
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- \ref lemon::MaxWeightedMatching "MaxWeightedMatching" Edmond's blossom
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shrinking algorithm for calculate maximum weighted matching in general
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graph
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- \ref lemon::MaxWeightedPerfectMatching "MaxWeightedPerfectMatching"
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Edmond's blossom shrinking algorithm for calculate maximum weighted
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perfect matching in general graph
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\image html bipartite_matching.png
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\image latex bipartite_matching.eps "Bipartite Matching" width=\textwidth
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*/
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/**
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@defgroup spantree Minimum Spanning Tree algorithms
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@ingroup algs
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\brief This group contains the algorithms for finding a minimum cost spanning
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tree in a graph
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This group contains the algorithms for finding a minimum cost spanning
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tree in a graph
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*/
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/**
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@defgroup auxalg Auxiliary algorithms
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@ingroup algs
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\brief Some algorithms implemented in LEMON.
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This group describes the algorithms in LEMON in order to make
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it easier to implement complex algorithms.
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*/
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/**
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@defgroup approx Approximation algorithms
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\brief Approximation algorithms
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Approximation and heuristic algorithms
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*/
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/**
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@defgroup gen_opt_group General Optimization Tools
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\brief This group describes some general optimization frameworks
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implemented in LEMON.
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This group describes some general optimization frameworks
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implemented in LEMON.
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*/
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/**
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@defgroup lp_group Lp and Mip solvers
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@ingroup gen_opt_group
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\brief Lp and Mip solver interfaces for LEMON.
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This group describes Lp and Mip solver interfaces for LEMON. The
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various LP solvers could be used in the same manner with this
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interface.
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*/
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/**
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@defgroup lp_utils Tools for Lp and Mip solvers
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@ingroup lp_group
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\brief This group adds some helper tools to the Lp and Mip solvers
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implemented in LEMON.
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This group adds some helper tools to general optimization framework
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implemented in LEMON.
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*/
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/**
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@defgroup metah Metaheuristics
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@ingroup gen_opt_group
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\brief Metaheuristics for LEMON library.
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This group contains some metaheuristic optimization tools.
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*/
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/**
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@defgroup utils Tools and Utilities
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\brief Tools and Utilities for Programming in LEMON
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Tools and Utilities for Programming in LEMON
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*/
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/**
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@defgroup gutils Basic Graph Utilities
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@ingroup utils
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\brief This group describes some simple basic graph utilities.
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This group describes some simple basic graph utilities.
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*/
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/**
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@defgroup misc Miscellaneous Tools
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@ingroup utils
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Here you can find several useful tools for development,
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debugging and testing.
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*/
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/**
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@defgroup timecount Time measuring and Counting
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@ingroup misc
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Here you can find simple tools for measuring the performance
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of algorithms.
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*/
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/**
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@defgroup graphbits Tools for Graph Implementation
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@ingroup utils
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\brief Tools to Make It Easier to Make Graphs.
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This group describes the tools that makes it easier to make graphs and
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the maps that dynamically update with the graph changes.
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*/
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/**
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@defgroup exceptions Exceptions
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@ingroup utils
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This group contains the exceptions thrown by LEMON library
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*/
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/**
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@defgroup io_group Input-Output
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\brief Several Graph Input-Output methods
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Here you can find tools for importing and exporting graphs
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and graph related data. Now it supports the LEMON format, the
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\c DIMACS format and the encapsulated postscript format.
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*/
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/**
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@defgroup lemon_io Lemon Input-Output
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@ingroup io_group
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\brief Reading and writing LEMON format
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Methods for reading and writing LEMON format. More about this
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format you can find on the \ref graph-io-page "Graph Input-Output"
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tutorial pages.
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*/
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/**
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@defgroup section_io Section readers and writers
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@ingroup lemon_io
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\brief Section readers and writers for lemon Input-Output.
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Here you can find which section readers and writers can attach to
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the LemonReader and LemonWriter.
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*/
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/**
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@defgroup item_io Item Readers and Writers
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@ingroup lemon_io
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\brief Item readers and writers for lemon Input-Output.
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The Input-Output classes can handle more data type by example
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as map or attribute value. Each of these should be written and
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read some way. The module make possible to do this.
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*/
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/**
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@defgroup eps_io Postscript exporting
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@ingroup io_group
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\brief General \c EPS drawer and graph exporter
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This group contains general \c EPS drawing methods and special
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graph exporting tools.
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*/
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/**
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@defgroup concept Concepts
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\brief Skeleton classes and concept checking classes
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This group describes the data/algorithm skeletons and concept checking
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classes implemented in LEMON.
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The purpose of the classes in this group is fourfold.
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- These classes contain the documentations of the concepts. In order
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to avoid document multiplications, an implementation of a concept
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simply refers to the corresponding concept class.
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- These classes declare every functions, <tt>typedef</tt>s etc. an
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implementation of the concepts should provide, however completely
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without implementations and real data structures behind the
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interface. On the other hand they should provide nothing else. All
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the algorithms working on a data structure meeting a certain concept
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should compile with these classes. (Though it will not run properly,
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of course.) In this way it is easily to check if an algorithm
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doesn't use any extra feature of a certain implementation.
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- The concept descriptor classes also provide a <em>checker class</em>
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that makes it possible check whether a certain implementation of a
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concept indeed provides all the required features.
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- Finally, They can serve as a skeleton of a new implementation of a concept.
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|
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*/
|
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|
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|
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/**
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@defgroup graph_concepts Graph Structure Concepts
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@ingroup concept
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\brief Skeleton and concept checking classes for graph structures
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This group contains the skeletons and concept checking classes of LEMON's
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graph structures and helper classes used to implement these.
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*/
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/* --- Unused group
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@defgroup experimental Experimental Structures and Algorithms
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This group contains some Experimental structures and algorithms.
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The stuff here is subject to change.
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*/
|
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|
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/**
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\anchor demoprograms
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@defgroup demos Demo programs
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Some demo programs are listed here. Their full source codes can be found in
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the \c demo subdirectory of the source tree.
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The standard compilation procedure (<tt>./configure;make</tt>) will compile
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them, as well.
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It order to compile them, use <tt>--enable-demo</tt> configure option when
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build the library.
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*/
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/**
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@defgroup tools Standalone utility applications
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Some utility applications are listed here.
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The standard compilation procedure (<tt>./configure;make</tt>) will compile
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them, as well.
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*/
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|