namespace lemon{ /*! \page maps-page Maps Maps play a central role in LEMON. As their name suggests, they map a certain range of \e keys to certain \e values. Each map has two typedef's to determine the types of keys and values, like this: \code typedef Edge Key; typedef double Value; \endcode A map can be \e readable (\ref lemon::concept::ReadMap "ReadMap", for short), \e writable (\ref lemon::concept::WriteMap "WriteMap") or both (\ref lemon::concept::ReadWriteMap "ReadWriteMap"). There also exists a special type of ReadWrite map called \ref lemon::concept::ReferenceMap "reference map". In addition that you can read and write the values of a key, a reference map can also give you a reference to the value belonging to a key, so you have a direct access to the memory address where it is stored. Each graph structure in LEMON provides two standard map templates called \c EdgeMap and \c NodeMap. Both are reference maps and you can easily assign data to the nodes and to the edges of the graph. For example if you have a graph \c G defined as \code ListGraph G; \endcode and you want to assign a floating point value to each edge, you can do it like this. \code ListGraph::EdgeMap length(G); \endcode Note that you must give the underlying graph to the constructor. The value of a readable map can be obtained by operator[]. \code d=length[e]; \endcode where \c e is an instance of \c ListGraph::Edge. (Or anything else that converts to \c ListGraph::Edge, like \c ListGraph::EdgeIt or \c ListGraph::OutEdgeIt etc.) There are two ways to assign a new value to a key - In case of a reference map operator[] gives you a reference to the value, thus you can use this. \code length[e]=3.5; \endcode - Writable maps have a member function \c set(Key,const Value &) for this purpose. \code length.set(e,3.5); \endcode The first case is more comfortable and if you store complex structures in your map, it might be more efficient. However, there are writable but not reference maps, so if you want to write a generic algorithm, you should insist on the second way. \section how-to-write-your-own-map How to Write Your Own Maps \subsection read-maps Readable Maps Readable maps are very frequently used as the input of an algorithm. For this purpose the most straightforward way is the use of the default maps provided by LEMON's graph structures. Very often however, it is more convenient and/or more efficient to write your own readable map. You can find some examples below. In these examples \c Graph is the type of the particular graph structure you use. This simple map assigns \f$\pi\f$ to each edge. \code struct MyMap { typedef double Value; typedef Graph::Edge Key; double operator[](Key e) const { return M_PI;} }; \endcode An alternative way to define maps is to use \c MapBase \todo For this, \c MapBase seems to be a better name then \c NullMap. \code struct MyMap : public MapBase { Value operator[](Key e) const { return M_PI;} }; \endcode Here is a bit more complex example. It provides a length function obtained from a base length function shifted by a potential difference. \code class ReducedLengthMap : public MapBase { const Graph &g; const Graph::EdgeMap &orig_len; const Graph::NodeMap &pot; public: Value operator[](Key e) const { return orig_len.get(e)-(pot.get(G.target(e))-pot.get(G.source(e))); } ReducedLengthMap(const Graph &_g, const Graph::EdgeMap &o, const Graph::NodeMap &p) : G(g), orig_len(o), pot(p) {}; }; \endcode Then, you can call e.g. Dijkstra algoritm on this map like this: \code ... ReducedLengthMap rm(g,len,pot); Dijkstra dij(g,rm); dij.run(s); ... \endcode \subsection write-maps Writable Maps To be written... \subsection side-effect-maps Maps with Side Effect To be written... */ }