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kpeter (Peter Kovacs)
kpeter@inf.elte.hu
Small doc improvements
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8 files changed with 42 insertions and 28 deletions:
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cut is the \f$X\f$ solution of the next optimization problem:
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\f[ \min_{X \subset V, X\not\in \{\emptyset, V\}}
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    \sum_{uv\in A, u\in X, v\not\in X}cap(uv) \f]
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    \sum_{uv\in A: u\in X, v\not\in X}cap(uv) \f]
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LEMON contains several algorithms related to minimum cut problems:
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This group contains the algorithms for discovering 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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\image html connected_components.png
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\image latex connected_components.eps "Connected components" width=\textwidth
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*/
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/**
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    ///\name Execution Control
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    ///The simplest way to execute the BFS algorithm is to use one of the
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    ///member functions called \ref run(Node) "run()".\n
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    ///If you need more control on the execution, first you have to call
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    ///\ref init(), then you can add several source nodes with
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    ///If you need better control on the execution, you have to call
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    ///\ref init() first, then you can add several source nodes with
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    ///\ref addSource(). Finally the actual path computation can be
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    ///performed with one of the \ref start() functions.
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    /// \name Execution Control
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    /// The simplest way to execute the BFS algorithm is to use one of the
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    /// member functions called \ref run(Node) "run()".\n
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    /// If you need more control on the execution, first you have to call
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    /// \ref init(), then you can add several source nodes with
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    /// If you need better control on the execution, you have to call
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    /// \ref init() first, then you can add several source nodes with
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    /// \ref addSource(). Finally the actual path computation can be
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    /// performed with one of the \ref start() functions.
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    /// The type of the map that stores the flow values.
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    /// It must conform to the \ref concepts::ReadWriteMap "ReadWriteMap"
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    /// concept.
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#ifdef DOXYGEN
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    typedef GR::ArcMap<Value> FlowMap;
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#else
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    typedef typename Digraph::template ArcMap<Value> FlowMap;
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#endif
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    /// \brief Instantiates a FlowMap.
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    ///
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    ///
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    /// The elevator type used by the algorithm.
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    ///
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    /// \sa Elevator
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    /// \sa LinkedElevator
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    /// \sa Elevator, LinkedElevator
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#ifdef DOXYGEN
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    typedef lemon::Elevator<GR, GR::Node> Elevator;
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#else
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    typedef lemon::Elevator<Digraph, typename Digraph::Node> Elevator;
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#endif
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    /// \brief Instantiates an Elevator.
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    ///
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    /// \name Execution Control
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    /// The simplest way to execute the algorithm is to call \ref run().\n
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    /// If you need more control on the initial solution or the execution,
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    /// first you have to call one of the \ref init() functions, then
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    /// If you need better control on the initial solution or the execution,
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    /// you have to call one of the \ref init() functions first, then
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    /// the \ref start() function.
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    ///@{
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    ///\name Execution Control
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    ///The simplest way to execute the DFS algorithm is to use one of the
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    ///member functions called \ref run(Node) "run()".\n
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    ///If you need more control on the execution, first you have to call
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    ///\ref init(), then you can add a source node with \ref addSource()
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    ///If you need better control on the execution, you have to call
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    ///\ref init() first, then you can add a source node with \ref addSource()
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    ///and perform the actual computation with \ref start().
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    ///This procedure can be repeated if there are nodes that have not
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    ///been reached.
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    /// \name Execution Control
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    /// The simplest way to execute the DFS algorithm is to use one of the
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    /// member functions called \ref run(Node) "run()".\n
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    /// If you need more control on the execution, first you have to call
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    /// \ref init(), then you can add a source node with \ref addSource()
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    /// If you need better control on the execution, you have to call
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    /// \ref init() first, then you can add a source node with \ref addSource()
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    /// and perform the actual computation with \ref start().
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    /// This procedure can be repeated if there are nodes that have not
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    /// been reached.
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    ///\name Execution Control
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    ///The simplest way to execute the %Dijkstra algorithm is to use
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    ///one of the member functions called \ref run(Node) "run()".\n
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    ///If you need more control on the execution, first you have to call
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    ///\ref init(), then you can add several source nodes with
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    ///If you need better control on the execution, you have to call
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    ///\ref init() first, then you can add several source nodes with
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    ///\ref addSource(). Finally the actual path computation can be
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    ///performed with one of the \ref start() functions.
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    /// This example counts the nodes in the minimum cut separating \c s from
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    /// \c t.
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    /// \code
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    /// GomoruHu<Graph> gom(g, capacities);
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    /// GomoryHu<Graph> gom(g, capacities);
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    /// gom.run();
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    /// int cnt=0;
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    /// for(GomoruHu<Graph>::MinCutNodeIt n(gom,s,t); n!=INVALID; ++n) ++cnt;
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    /// for(GomoryHu<Graph>::MinCutNodeIt n(gom,s,t); n!=INVALID; ++n) ++cnt;
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    /// \endcode
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    class MinCutNodeIt
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    {
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    /// This example computes the value of the minimum cut separating \c s from
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    /// \c t.
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    /// \code
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    /// GomoruHu<Graph> gom(g, capacities);
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    /// GomoryHu<Graph> gom(g, capacities);
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    /// gom.run();
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    /// int value=0;
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    /// for(GomoruHu<Graph>::MinCutEdgeIt e(gom,s,t); e!=INVALID; ++e)
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    /// for(GomoryHu<Graph>::MinCutEdgeIt e(gom,s,t); e!=INVALID; ++e)
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    ///   value+=capacities[e];
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    /// \endcode
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    /// The result will be the same as the value returned by
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    /// \name Execution Control
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    /// The simplest way to execute the algorithm is to use
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    /// one of the member functions called \c run(...). \n
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    /// If you need more control on the execution,
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    /// first you must call \ref init(), then you can add several
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    /// If you need better control on the execution,
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    /// you have to call \ref init() first, then you can add several
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    /// source nodes with \ref addSource().
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    /// Finally \ref start() will perform the arborescence
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    /// computation.
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    ///
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    /// The type of the map that stores the flow values.
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    /// It must meet the \ref concepts::ReadWriteMap "ReadWriteMap" concept.
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#ifdef DOXYGEN
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    typedef GR::ArcMap<Value> FlowMap;
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#else
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    typedef typename Digraph::template ArcMap<Value> FlowMap;
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#endif
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    /// \brief Instantiates a FlowMap.
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    ///
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    ///
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    /// The elevator type used by Preflow algorithm.
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    ///
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    /// \sa Elevator
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    /// \sa LinkedElevator
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    typedef LinkedElevator<Digraph, typename Digraph::Node> Elevator;
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    /// \sa Elevator, LinkedElevator
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#ifdef DOXYGEN
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    typedef lemon::Elevator<GR, GR::Node> Elevator;
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#else
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    typedef lemon::Elevator<Digraph, typename Digraph::Node> Elevator;
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#endif
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    /// \brief Instantiates an Elevator.
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    ///
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    /// \name Execution Control
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    /// The simplest way to execute the preflow algorithm is to use
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    /// \ref run() or \ref runMinCut().\n
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    /// If you need more control on the initial solution or the execution,
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    /// first you have to call one of the \ref init() functions, then
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    /// If you need better control on the initial solution or the execution,
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    /// you have to call one of the \ref init() functions first, then
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    /// \ref startFirstPhase() and if you need it \ref startSecondPhase().
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    ///@{
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