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/* -*- C++ -*-
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*
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* This file is a part of LEMON, a generic C++ optimization library
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*
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* Copyright (C) 2003-2008
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* Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
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* (Egervary Research Group on Combinatorial Optimization, EGRES).
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*
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* Permission to use, modify and distribute this software is granted
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* provided that this copyright notice appears in all copies. For
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* precise terms see the accompanying LICENSE file.
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*
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* This software is provided "AS IS" with no warranty of any kind,
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* express or implied, and with no claim as to its suitability for any
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* purpose.
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*
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*/
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/**
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@defgroup datas Data Structures
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This group describes the several graph structures implemented in LEMON.
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*/
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/**
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@defgroup graphs Graph Structures
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@ingroup datas
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\brief Graph structures implemented in LEMON.
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The implementation of combinatorial algorithms heavily relies on
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efficient graph implementations. LEMON offers data structures which are
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planned to be easily used in an experimental phase of implementation studies,
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and thereafter the program code can be made efficient by small modifications.
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The most efficient implementation of diverse applications require the
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usage of different physical graph implementations. These differences
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appear in the size of graph we require to handle, memory or time usage
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limitations or in the set of operations through which the graph can be
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accessed. LEMON provides several physical graph structures to meet
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the diverging requirements of the possible users. In order to save on
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running time or on memory usage, some structures may fail to provide
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some graph features like edge or node deletion.
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Alteration of standard containers need a very limited number of
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operations, these together satisfy the everyday requirements.
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In the case of graph structures, different operations are needed which do
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not alter the physical graph, but gives another view. If some nodes or
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edges have to be hidden or the reverse oriented graph have to be used, then
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this is the case. It also may happen that in a flow implementation
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the residual graph can be accessed by another algorithm, or a node-set
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is to be shrunk for another algorithm.
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LEMON also provides a variety of graphs for these requirements called
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\ref graph_adaptors "graph adaptors". Adaptors cannot be used alone but only
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in conjunction with other graph representation.
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You are free to use the graph structure that fit your requirements
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the best, most graph algorithms and auxiliary data structures can be used
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with any graph structures.
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*/
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/**
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@defgroup semi_adaptors Semi-Adaptors Classes for Graphs
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@ingroup graphs
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\brief Graph types between real graphs and graph adaptors.
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Graph types between real graphs and graph adaptors. These classes wrap
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graphs to give new functionality as the adaptors do it. On the other
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hand they are not light-weight structures as the adaptors.
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*/
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/**
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@defgroup maps Maps
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@ingroup datas
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\brief Some special purpose map to make life easier.
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LEMON provides several special maps that e.g. combine
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new maps from existing ones.
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*/
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/**
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@defgroup graph_maps Graph Maps
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@ingroup maps
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\brief Special Graph-Related Maps.
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These maps are specifically designed to assign values to the nodes and edges of
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graphs.
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*/
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/**
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\defgroup map_adaptors Map Adaptors
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\ingroup maps
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\brief Tools to create new maps from existing ones
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Map adaptors are used to create "implicit" maps from other maps.
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Most of them are \ref lemon::concepts::ReadMap "ReadMap"s. They can
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make arithmetic operations between one or two maps (negation, scaling,
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addition, multiplication etc.) or e.g. convert a map to another one
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of different Value type.
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The typical usage of this classes is the passing implicit maps to
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algorithms. If a function type algorithm is called then the function
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type map adaptors can be used comfortable. For example let's see the
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usage of map adaptors with the \c graphToEps() function:
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\code
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Color nodeColor(int deg) {
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if (deg >= 2) {
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return Color(0.5, 0.0, 0.5);
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} else if (deg == 1) {
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return Color(1.0, 0.5, 1.0);
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} else {
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return Color(0.0, 0.0, 0.0);
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}
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}
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Graph::NodeMap<int> degree_map(graph);
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graphToEps(graph, "graph.eps")
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.coords(coords).scaleToA4().undirected()
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.nodeColors(composeMap(functorMap(nodeColor), degree_map))
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.run();
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\endcode
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The \c functorMap() function makes an \c int to \c Color map from the
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\e nodeColor() function. The \c composeMap() compose the \e degree_map
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and the previous created map. The composed map is proper function to
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get color of each node.
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The usage with class type algorithms is little bit harder. In this
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case the function type map adaptors can not be used, because the
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function map adaptors give back temporarly objects.
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\code
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Graph graph;
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typedef Graph::EdgeMap<double> DoubleEdgeMap;
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DoubleEdgeMap length(graph);
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DoubleEdgeMap speed(graph);
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typedef DivMap<DoubleEdgeMap, DoubleEdgeMap> TimeMap;
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TimeMap time(length, speed);
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Dijkstra<Graph, TimeMap> dijkstra(graph, time);
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dijkstra.run(source, target);
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\endcode
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We have a length map and a maximum speed map on a graph. The minimum
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time to pass the edge can be calculated as the division of the two
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maps which can be done implicitly with the \c DivMap template
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class. We use the implicit minimum time map as the length map of the
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\c Dijkstra algorithm.
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*/
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/**
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@defgroup matrices Matrices
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@ingroup datas
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\brief Two dimensional data storages.
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Two dimensional data storages.
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*/
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/**
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@defgroup paths Path Structures
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@ingroup datas
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\brief Path structures implemented in LEMON.
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LEMON provides flexible data structures
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to work with paths.
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All of them have similar interfaces, and it can be copied easily with
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assignment operator and copy constructor. This make it easy and
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efficient to have e.g. the Dijkstra algorithm to store its result in
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any kind of path structure.
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\sa lemon::concepts::Path
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*/
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/**
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@defgroup auxdat Auxiliary Data Structures
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@ingroup datas
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\brief Some data structures implemented in LEMON.
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This group describes the data structures implemented in LEMON in
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order to make it easier to implement combinatorial algorithms.
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*/
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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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434 |
\brief This group describes some simple basic graph utilities.
|
|
435 |
|
|
436 |
This group describes some simple basic graph utilities.
|
|
437 |
*/
|
|
438 |
|
|
439 |
/**
|
|
440 |
@defgroup misc Miscellaneous Tools
|
|
441 |
@ingroup utils
|
|
442 |
Here you can find several useful tools for development,
|
|
443 |
debugging and testing.
|
|
444 |
*/
|
|
445 |
|
|
446 |
|
|
447 |
/**
|
|
448 |
@defgroup timecount Time measuring and Counting
|
|
449 |
@ingroup misc
|
|
450 |
Here you can find simple tools for measuring the performance
|
|
451 |
of algorithms.
|
|
452 |
*/
|
|
453 |
|
|
454 |
/**
|
|
455 |
@defgroup graphbits Tools for Graph Implementation
|
|
456 |
@ingroup utils
|
|
457 |
\brief Tools to Make It Easier to Make Graphs.
|
|
458 |
|
|
459 |
This group describes the tools that makes it easier to make graphs and
|
|
460 |
the maps that dynamically update with the graph changes.
|
|
461 |
*/
|
|
462 |
|
|
463 |
/**
|
|
464 |
@defgroup exceptions Exceptions
|
|
465 |
@ingroup utils
|
|
466 |
This group contains the exceptions thrown by LEMON library
|
|
467 |
*/
|
|
468 |
|
|
469 |
/**
|
|
470 |
@defgroup io_group Input-Output
|
|
471 |
\brief Several Graph Input-Output methods
|
|
472 |
|
|
473 |
Here you can find tools for importing and exporting graphs
|
|
474 |
and graph related data. Now it supports the LEMON format, the
|
|
475 |
\c DIMACS format and the encapsulated postscript format.
|
|
476 |
*/
|
|
477 |
|
|
478 |
/**
|
|
479 |
@defgroup lemon_io Lemon Input-Output
|
|
480 |
@ingroup io_group
|
|
481 |
\brief Reading and writing LEMON format
|
|
482 |
|
|
483 |
Methods for reading and writing LEMON format. More about this
|
|
484 |
format you can find on the \ref graph-io-page "Graph Input-Output"
|
|
485 |
tutorial pages.
|
|
486 |
*/
|
|
487 |
|
|
488 |
/**
|
|
489 |
@defgroup section_io Section readers and writers
|
|
490 |
@ingroup lemon_io
|
|
491 |
\brief Section readers and writers for lemon Input-Output.
|
|
492 |
|
|
493 |
Here you can find which section readers and writers can attach to
|
|
494 |
the LemonReader and LemonWriter.
|
|
495 |
*/
|
|
496 |
|
|
497 |
/**
|
|
498 |
@defgroup item_io Item Readers and Writers
|
|
499 |
@ingroup lemon_io
|
|
500 |
\brief Item readers and writers for lemon Input-Output.
|
|
501 |
|
|
502 |
The Input-Output classes can handle more data type by example
|
|
503 |
as map or attribute value. Each of these should be written and
|
|
504 |
read some way. The module make possible to do this.
|
|
505 |
*/
|
|
506 |
|
|
507 |
/**
|
|
508 |
@defgroup eps_io Postscript exporting
|
|
509 |
@ingroup io_group
|
|
510 |
\brief General \c EPS drawer and graph exporter
|
|
511 |
|
|
512 |
This group contains general \c EPS drawing methods and special
|
|
513 |
graph exporting tools.
|
|
514 |
*/
|
|
515 |
|
|
516 |
|
|
517 |
/**
|
|
518 |
@defgroup concept Concepts
|
|
519 |
\brief Skeleton classes and concept checking classes
|
|
520 |
|
|
521 |
This group describes the data/algorithm skeletons and concept checking
|
|
522 |
classes implemented in LEMON.
|
|
523 |
|
|
524 |
The purpose of the classes in this group is fourfold.
|
|
525 |
|
|
526 |
- These classes contain the documentations of the concepts. In order
|
|
527 |
to avoid document multiplications, an implementation of a concept
|
|
528 |
simply refers to the corresponding concept class.
|
|
529 |
|
|
530 |
- These classes declare every functions, <tt>typedef</tt>s etc. an
|
|
531 |
implementation of the concepts should provide, however completely
|
|
532 |
without implementations and real data structures behind the
|
|
533 |
interface. On the other hand they should provide nothing else. All
|
|
534 |
the algorithms working on a data structure meeting a certain concept
|
|
535 |
should compile with these classes. (Though it will not run properly,
|
|
536 |
of course.) In this way it is easily to check if an algorithm
|
|
537 |
doesn't use any extra feature of a certain implementation.
|
|
538 |
|
|
539 |
- The concept descriptor classes also provide a <em>checker class</em>
|
|
540 |
that makes it possible check whether a certain implementation of a
|
|
541 |
concept indeed provides all the required features.
|
|
542 |
|
|
543 |
- Finally, They can serve as a skeleton of a new implementation of a concept.
|
|
544 |
|
|
545 |
*/
|
|
546 |
|
|
547 |
|
|
548 |
/**
|
|
549 |
@defgroup graph_concepts Graph Structure Concepts
|
|
550 |
@ingroup concept
|
|
551 |
\brief Skeleton and concept checking classes for graph structures
|
|
552 |
|
|
553 |
This group contains the skeletons and concept checking classes of LEMON's
|
|
554 |
graph structures and helper classes used to implement these.
|
|
555 |
*/
|
|
556 |
|
|
557 |
/* --- Unused group
|
|
558 |
@defgroup experimental Experimental Structures and Algorithms
|
|
559 |
This group contains some Experimental structures and algorithms.
|
|
560 |
The stuff here is subject to change.
|
|
561 |
*/
|
|
562 |
|
|
563 |
/**
|
|
564 |
\anchor demoprograms
|
|
565 |
|
|
566 |
@defgroup demos Demo programs
|
|
567 |
|
|
568 |
Some demo programs are listed here. Their full source codes can be found in
|
|
569 |
the \c demo subdirectory of the source tree.
|
|
570 |
|
|
571 |
The standard compilation procedure (<tt>./configure;make</tt>) will compile
|
|
572 |
them, as well.
|
|
573 |
|
|
574 |
*/
|
|
575 |
|
|
576 |
/**
|
|
577 |
@defgroup tools Standalone utility applications
|
|
578 |
|
|
579 |
Some utility applications are listed here.
|
|
580 |
|
|
581 |
The standard compilation procedure (<tt>./configure;make</tt>) will compile
|
|
582 |
them, as well.
|
|
583 |
|
|
584 |
*/
|
|
585 |
|