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kpeter (Peter Kovacs)
kpeter@inf.elte.hu
Doc improvements for planarity related tools (#62)
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1 file changed with 94 insertions and 76 deletions:
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@@ -519,7 +519,7 @@
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  ///
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  /// This function implements the Boyer-Myrvold algorithm for
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  /// planarity checking of an undirected graph. It is a simplified
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  /// planarity checking of an undirected simple graph. It is a simplified
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  /// version of the PlanarEmbedding algorithm class because neither
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  /// the embedding nor the kuratowski subdivisons are not computed.
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  /// the embedding nor the Kuratowski subdivisons are computed.
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  template <typename GR>
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  bool checkPlanarity(const GR& graph) {
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@@ -533,14 +533,15 @@
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  ///
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  /// This class implements the Boyer-Myrvold algorithm for planar
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  /// embedding of an undirected graph. The planar embedding is an
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  /// embedding of an undirected simple graph. The planar embedding is an
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  /// ordering of the outgoing edges of the nodes, which is a possible
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  /// configuration to draw the graph in the plane. If there is not
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  /// such ordering then the graph contains a \f$ K_5 \f$ (full graph
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  /// with 5 nodes) or a \f$ K_{3,3} \f$ (complete bipartite graph on
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  /// 3 ANode and 3 BNode) subdivision.
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  /// such ordering then the graph contains a K<sub>5</sub> (full graph
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  /// with 5 nodes) or a K<sub>3,3</sub> (complete bipartite graph on
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  /// 3 Red and 3 Blue nodes) subdivision.
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  ///
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  /// The current implementation calculates either an embedding or a
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  /// Kuratowski subdivision. The running time of the algorithm is 
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  /// \f$ O(n) \f$.
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  /// Kuratowski subdivision. The running time of the algorithm is O(n).
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  ///
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  /// \see PlanarDrawing, checkPlanarity()
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  template <typename Graph>
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  class PlanarEmbedding {
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@@ -592,20 +593,24 @@
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  public:
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    /// \brief The map for store of embedding
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    /// \brief The map type for storing the embedding
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    ///
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    /// The map type for storing the embedding.
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    /// \see embeddingMap()
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    typedef typename Graph::template ArcMap<Arc> EmbeddingMap;
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    /// \brief Constructor
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    ///
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    /// \note The graph should be simple, i.e. parallel and loop arc
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    /// free.
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    /// Constructor.
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    /// \pre The graph must be simple, i.e. it should not
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    /// contain parallel or loop arcs.
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    PlanarEmbedding(const Graph& graph)
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      : _graph(graph), _embedding(_graph), _kuratowski(graph, false) {}
603 608

	
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    /// \brief Runs the algorithm.
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    /// \brief Run the algorithm.
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    ///
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    /// Runs the algorithm.
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    /// \param kuratowski If the parameter is false, then the
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    /// This function runs the algorithm.
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    /// \param kuratowski If this parameter is set to \c false, then the
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    /// algorithm does not compute a Kuratowski subdivision.
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    ///\return %True when the graph is planar.
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    /// \return \c true if the graph is planar.
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    bool run(bool kuratowski = true) {
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      typedef _planarity_bits::PlanarityVisitor<Graph> Visitor;
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@@ -700,7 +705,7 @@
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    }
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    /// \brief Gives back the successor of an arc
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    /// \brief Give back the successor of an arc
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    ///
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    /// Gives back the successor of an arc. This function makes
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    /// This function gives back the successor of an arc. It makes
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    /// possible to query the cyclic order of the outgoing arcs from
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    /// a node.
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@@ -709,19 +714,21 @@
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    }
710 715

	
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    /// \brief Gives back the calculated embedding map
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    /// \brief Give back the calculated embedding map
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    ///
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    /// The returned map contains the successor of each arc in the
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    /// graph.
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    /// This function gives back the calculated embedding map, which
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    /// contains the successor of each arc in the cyclic order of the
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    /// outgoing arcs of its source node.
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    const EmbeddingMap& embeddingMap() const {
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      return _embedding;
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    }
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    /// \brief Gives back true if the undirected arc is in the
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    /// kuratowski subdivision
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    /// \brief Give back \c true if the given edge is in the Kuratowski
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    /// subdivision
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    ///
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    /// Gives back true if the undirected arc is in the kuratowski
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    /// subdivision
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    /// \note The \c run() had to be called with true value.
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    bool kuratowski(const Edge& edge) {
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    /// This function gives back \c true if the given edge is in the found
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    /// Kuratowski subdivision.
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    /// \pre The \c run() function must be called with \c true parameter
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    /// before using this function.
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    bool kuratowski(const Edge& edge) const {
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      return _kuratowski[edge];
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    }
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@@ -2060,11 +2067,13 @@
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  ///
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  /// The planar drawing algorithm calculates positions for the nodes
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  /// in the plane which coordinates satisfy that if the arcs are
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  /// represented with straight lines then they will not intersect
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  /// in the plane. These coordinates satisfy that if the edges are
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  /// represented with straight lines, then they will not intersect
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  /// each other.
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  ///
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  /// Scnyder's algorithm embeds the graph on \c (n-2,n-2) size grid,
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  /// i.e. each node will be located in the \c [0,n-2]x[0,n-2] square.
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  /// Scnyder's algorithm embeds the graph on an \c (n-2)x(n-2) size grid,
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  /// i.e. each node will be located in the \c [0..n-2]x[0..n-2] square.
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  /// The time complexity of the algorithm is O(n).
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  ///
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  /// \see PlanarEmbedding
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  template <typename Graph>
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  class PlanarDrawing {
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@@ -2073,7 +2082,7 @@
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    TEMPLATE_GRAPH_TYPEDEFS(Graph);
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    /// \brief The point type for store coordinates
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    /// \brief The point type for storing coordinates
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    typedef dim2::Point<int> Point;
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    /// \brief The map type for store coordinates
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    /// \brief The map type for storing the coordinates of the nodes
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    typedef typename Graph::template NodeMap<Point> PointMap;
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@@ -2082,5 +2091,6 @@
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    ///
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    /// Constructor
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    /// \pre The graph should be simple, i.e. loop and parallel arc free.
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    /// \pre The graph must be simple, i.e. it should not
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    /// contain parallel or loop arcs.
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    PlanarDrawing(const Graph& graph)
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      : _graph(graph), _point_map(graph) {}
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@@ -2367,8 +2377,8 @@
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  public:
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    /// \brief Calculates the node positions
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    /// \brief Calculate the node positions
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    ///
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    /// This function calculates the node positions.
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    /// \return %True if the graph is planar.
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    /// This function calculates the node positions on the plane.
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    /// \return \c true if the graph is planar.
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    bool run() {
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      PlanarEmbedding<Graph> pe(_graph);
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@@ -2379,10 +2389,11 @@
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    }
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    /// \brief Calculates the node positions according to a
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    /// \brief Calculate the node positions according to a
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    /// combinatorical embedding
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    ///
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    /// This function calculates the node locations. The \c embedding
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    /// parameter should contain a valid combinatorical embedding, i.e.
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    /// a valid cyclic order of the arcs.
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    /// This function calculates the node positions on the plane.
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    /// The given \c embedding map should contain a valid combinatorical
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    /// embedding, i.e. a valid cyclic order of the arcs.
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    /// It can be computed using PlanarEmbedding.
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    template <typename EmbeddingMap>
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    void run(const EmbeddingMap& embedding) {
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@@ -2424,12 +2435,13 @@
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    /// \brief The coordinate of the given node
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    ///
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    /// The coordinate of the given node.
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    /// This function returns the coordinate of the given node.
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    Point operator[](const Node& node) const {
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      return _point_map[node];
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    }
2430 2441

	
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    /// \brief Returns the grid embedding in a \e NodeMap.
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    /// \brief Return the grid embedding in a node map
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    ///
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    /// Returns the grid embedding in a \e NodeMap of \c dim2::Point<int> .
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    /// This function returns the grid embedding in a node map of
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    /// \c dim2::Point<int> coordinates.
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    const PointMap& coords() const {
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      return _point_map;
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@@ -2471,21 +2483,20 @@
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  ///
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  /// The graph coloring problem is the coloring of the graph nodes
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  /// that there are not adjacent nodes with the same color. The
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  /// planar graphs can be always colored with four colors, it is
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  /// proved by Appel and Haken and their proofs provide a quadratic
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  /// so that there are no adjacent nodes with the same color. The
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  /// planar graphs can always be colored with four colors, which is
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  /// proved by Appel and Haken. Their proofs provide a quadratic
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  /// time algorithm for four coloring, but it could not be used to
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  /// implement efficient algorithm. The five and six coloring can be
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  /// made in linear time, but in this class the five coloring has
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  /// implement an efficient algorithm. The five and six coloring can be
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  /// made in linear time, but in this class, the five coloring has
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  /// quadratic worst case time complexity. The two coloring (if
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  /// possible) is solvable with a graph search algorithm and it is
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  /// implemented in \ref bipartitePartitions() function in LEMON. To
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  /// decide whether the planar graph is three colorable is
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  /// NP-complete.
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  /// decide whether a planar graph is three colorable is NP-complete.
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  ///
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  /// This class contains member functions for calculate colorings
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  /// with five and six colors. The six coloring algorithm is a simple
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  /// greedy coloring on the backward minimum outgoing order of nodes.
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  /// This order can be computed as in each phase the node with least
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  /// outgoing arcs to unprocessed nodes is chosen. This order
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  /// This order can be computed by selecting the node with least
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  /// outgoing arcs to unprocessed nodes in each phase. This order
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  /// guarantees that when a node is chosen for coloring it has at
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  /// most five already colored adjacents. The five coloring algorithm
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@@ -2500,13 +2511,17 @@
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    TEMPLATE_GRAPH_TYPEDEFS(Graph);
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    /// \brief The map type for store color indexes
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    /// \brief The map type for storing color indices
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    typedef typename Graph::template NodeMap<int> IndexMap;
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    /// \brief The map type for store colors
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    /// \brief The map type for storing colors
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    ///
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    /// The map type for storing colors.
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    /// \see Palette, Color
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    typedef ComposeMap<Palette, IndexMap> ColorMap;
2506 2520

	
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    /// \brief Constructor
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    ///
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    /// Constructor
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    /// \pre The graph should be simple, i.e. loop and parallel arc free.
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    /// Constructor.
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    /// \pre The graph must be simple, i.e. it should not
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    /// contain parallel or loop arcs.
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    PlanarColoring(const Graph& graph)
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      : _graph(graph), _color_map(graph), _palette(0) {
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@@ -2519,32 +2534,32 @@
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    }
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    /// \brief Returns the \e NodeMap of color indexes
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    /// \brief Return the node map of color indices
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    ///
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    /// Returns the \e NodeMap of color indexes. The values are in the
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    /// range \c [0..4] or \c [0..5] according to the coloring method.
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    /// This function returns the node map of color indices. The values are
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    /// in the range \c [0..4] or \c [0..5] according to the coloring method.
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    IndexMap colorIndexMap() const {
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      return _color_map;
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    }
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    /// \brief Returns the \e NodeMap of colors
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    /// \brief Return the node map of colors
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    ///
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    /// Returns the \e NodeMap of colors. The values are five or six
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    /// distinct \ref lemon::Color "colors".
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    /// This function returns the node map of colors. The values are among
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    /// five or six distinct \ref lemon::Color "colors".
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    ColorMap colorMap() const {
2534 2549
      return composeMap(_palette, _color_map);
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    }
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    /// \brief Returns the color index of the node
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    /// \brief Return the color index of the node
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    ///
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    /// Returns the color index of the node. The values are in the
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    /// range \c [0..4] or \c [0..5] according to the coloring method.
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    /// This function returns the color index of the given node. The value is
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    /// in the range \c [0..4] or \c [0..5] according to the coloring method.
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    int colorIndex(const Node& node) const {
2542 2557
      return _color_map[node];
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    }
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2545
    /// \brief Returns the color of the node
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    /// \brief Return the color of the node
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    ///
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    /// Returns the color of the node. The values are five or six
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    /// distinct \ref lemon::Color "colors".
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    /// This function returns the color of the given node. The value is among
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    /// five or six distinct \ref lemon::Color "colors".
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    Color color(const Node& node) const {
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      return _palette[_color_map[node]];
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@@ -2552,12 +2567,12 @@
2552 2567

	
2553 2568

	
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    /// \brief Calculates a coloring with at most six colors
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    /// \brief Calculate a coloring with at most six colors
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    ///
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    /// This function calculates a coloring with at most six colors. The time
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    /// complexity of this variant is linear in the size of the graph.
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    /// \return %True when the algorithm could color the graph with six color.
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    /// If the algorithm fails, then the graph could not be planar.
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    /// \note This function can return true if the graph is not
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    /// planar but it can be colored with 6 colors.
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    /// \return \c true if the algorithm could color the graph with six colors.
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    /// If the algorithm fails, then the graph is not planar.
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    /// \note This function can return \c true if the graph is not
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    /// planar, but it can be colored with at most six colors.
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    bool runSixColoring() {
2563 2578

	
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@@ -2661,9 +2676,12 @@
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  public:
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    /// \brief Calculates a coloring with at most five colors
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    /// \brief Calculate a coloring with at most five colors
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    ///
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    /// This function calculates a coloring with at most five
2666 2681
    /// colors. The worst case time complexity of this variant is
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    /// quadratic in the size of the graph.
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    /// \param embedding This map should contain a valid combinatorical
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    /// embedding, i.e. a valid cyclic order of the arcs.
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    /// It can be computed using PlanarEmbedding.
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    template <typename EmbeddingMap>
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    void runFiveColoring(const EmbeddingMap& embedding) {
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@@ -2712,10 +2730,10 @@
2712 2730
    }
2713 2731

	
2714
    /// \brief Calculates a coloring with at most five colors
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    /// \brief Calculate a coloring with at most five colors
2715 2733
    ///
2716 2734
    /// This function calculates a coloring with at most five
2717 2735
    /// colors. The worst case time complexity of this variant is
2718 2736
    /// quadratic in the size of the graph.
2719
    /// \return %True when the graph is planar.
2737
    /// \return \c true if the graph is planar.
2720 2738
    bool runFiveColoring() {
2721 2739
      PlanarEmbedding<Graph> pe(_graph);
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