doc/graphs.dox
author alpar
Wed, 09 Aug 2006 12:47:31 +0000
changeset 2169 9f71586a3f74
parent 2115 4cd528a30ec1
child 2260 4274224f8a7d
permissions -rw-r--r--
This script lists all the header files included directly or indirectly by a certain header file.
     1 /*!
     2 
     3 \page graphs Graphs
     4 
     5 \todo Write a new Graphs page. I think it should be contain the Graph,
     6 UGraph and BpUGraph concept. It should be describe the iterators and
     7 the basic functions and the differences of the implementations.
     8 
     9 The primary data structures of LEMON are the graph classes. They all
    10 provide a node list - edge list interface, i.e. they have
    11 functionalities to list the nodes and the edges of the graph as well
    12 as  incoming and outgoing edges of a given node. 
    13 
    14 Each graph should meet the \ref lemon::concept::Graph "Graph" concept.
    15 This concept does not make it possible to change the graph (i.e. it is
    16 not possible to add or delete edges or nodes). Most of the graph
    17 algorithms will run on these graphs.
    18 
    19 
    20 In case of graphs meeting the full feature
    21 \ref lemon::concept::ErasableGraph "ErasableGraph"
    22 concept
    23 you can also erase individual edges and nodes in arbitrary order.
    24 
    25 The implemented graph structures are the following.
    26 \li \ref lemon::ListGraph "ListGraph" is the most versatile graph class. It meets
    27 the \ref lemon::concept::ErasableGraph "ErasableGraph" concept
    28 and it also has some convenient extra features.
    29 \li \ref lemon::SmartGraph "SmartGraph" is a more memory
    30 efficient version of \ref lemon::ListGraph "ListGraph". The
    31 price of this is that it only meets the
    32 \ref lemon::concept::ExtendableGraph "ExtendableGraph" concept,
    33 so you cannot delete individual edges or nodes.
    34 \li \ref lemon::FullGraph "FullGraph"
    35 implements a complete graph. It is a
    36 \ref lemon::concept::Graph "Graph", so you cannot
    37 change the number of nodes once it is constructed. It is extremely memory
    38 efficient: it uses constant amount of memory independently from the number of
    39 the nodes of the graph. Of course, the size of the \ref maps-page "NodeMap"'s and
    40 \ref maps-page "EdgeMap"'s will depend on the number of nodes.
    41 
    42 \li \ref lemon::NodeSet "NodeSet" implements a graph with no edges. This class
    43 can be used as a base class of \ref lemon::EdgeSet "EdgeSet".
    44 \li \ref lemon::EdgeSet "EdgeSet" can be used to create a new graph on
    45 the node set of another graph. The base graph can be an arbitrary graph and it
    46 is possible to attach several \ref lemon::EdgeSet "EdgeSet"'s to a base graph.
    47 
    48 \todo Don't we need SmartNodeSet and SmartEdgeSet?
    49 \todo Some cross-refs are wrong.
    50 
    51 The graph structures themselves can not store data attached
    52 to the edges and nodes. However they all provide
    53 \ref maps-page "map classes"
    54 to dynamically attach data the to graph components.
    55 
    56 The following program demonstrates the basic features of LEMON's graph
    57 structures.
    58 
    59 \code
    60 #include <iostream>
    61 #include <lemon/list_graph.h>
    62 
    63 using namespace lemon;
    64 
    65 int main()
    66 {
    67   typedef ListGraph Graph;
    68 \endcode
    69 
    70 ListGraph is one of LEMON's graph classes. It is based on linked lists,
    71 therefore iterating throuh its edges and nodes is fast.
    72 
    73 \code
    74   typedef Graph::Edge Edge;
    75   typedef Graph::InEdgeIt InEdgeIt;
    76   typedef Graph::OutEdgeIt OutEdgeIt;
    77   typedef Graph::EdgeIt EdgeIt;
    78   typedef Graph::Node Node;
    79   typedef Graph::NodeIt NodeIt;
    80 
    81   Graph g;
    82   
    83   for (int i = 0; i < 3; i++)
    84     g.addNode();
    85   
    86   for (NodeIt i(g); i!=INVALID; ++i)
    87     for (NodeIt j(g); j!=INVALID; ++j)
    88       if (i != j) g.addEdge(i, j);
    89 \endcode
    90 
    91 After some convenient typedefs we create a graph and add three nodes to it.
    92 Then we add edges to it to form a complete graph.
    93 
    94 \code
    95   std::cout << "Nodes:";
    96   for (NodeIt i(g); i!=INVALID; ++i)
    97     std::cout << " " << g.id(i);
    98   std::cout << std::endl;
    99 \endcode
   100 
   101 Here we iterate through all nodes of the graph. We use a constructor of the
   102 node iterator to initialize it to the first node. The operator++ is used to
   103 step to the next node. Using operator++ on the iterator pointing to the last
   104 node invalidates the iterator i.e. sets its value to
   105 \ref lemon::INVALID "INVALID". This is what we exploit in the stop condition.
   106 
   107 The previous code fragment prints out the following:
   108 
   109 \code
   110 Nodes: 2 1 0
   111 \endcode
   112 
   113 \code
   114   std::cout << "Edges:";
   115   for (EdgeIt i(g); i!=INVALID; ++i)
   116     std::cout << " (" << g.id(g.source(i)) << "," << g.id(g.target(i)) << ")";
   117   std::cout << std::endl;
   118 \endcode
   119 
   120 \code
   121 Edges: (0,2) (1,2) (0,1) (2,1) (1,0) (2,0)
   122 \endcode
   123 
   124 We can also iterate through all edges of the graph very similarly. The 
   125 \c target and
   126 \c source member functions can be used to access the endpoints of an edge.
   127 
   128 \code
   129   NodeIt first_node(g);
   130 
   131   std::cout << "Out-edges of node " << g.id(first_node) << ":";
   132   for (OutEdgeIt i(g, first_node); i!=INVALID; ++i)
   133     std::cout << " (" << g.id(g.source(i)) << "," << g.id(g.target(i)) << ")"; 
   134   std::cout << std::endl;
   135 
   136   std::cout << "In-edges of node " << g.id(first_node) << ":";
   137   for (InEdgeIt i(g, first_node); i!=INVALID; ++i)
   138     std::cout << " (" << g.id(g.source(i)) << "," << g.id(g.target(i)) << ")"; 
   139   std::cout << std::endl;
   140 \endcode
   141 
   142 \code
   143 Out-edges of node 2: (2,0) (2,1)
   144 In-edges of node 2: (0,2) (1,2)
   145 \endcode
   146 
   147 We can also iterate through the in and out-edges of a node. In the above
   148 example we print out the in and out-edges of the first node of the graph.
   149 
   150 \code
   151   Graph::EdgeMap<int> m(g);
   152 
   153   for (EdgeIt e(g); e!=INVALID; ++e)
   154     m.set(e, 10 - g.id(e));
   155   
   156   std::cout << "Id Edge  Value" << std::endl;
   157   for (EdgeIt e(g); e!=INVALID; ++e)
   158     std::cout << g.id(e) << "  (" << g.id(g.source(e)) << "," << g.id(g.target(e))
   159       << ") " << m[e] << std::endl;
   160 \endcode
   161 
   162 \code
   163 Id Edge  Value
   164 4  (0,2) 6
   165 2  (1,2) 8
   166 5  (0,1) 5
   167 0  (2,1) 10
   168 3  (1,0) 7
   169 1  (2,0) 9
   170 \endcode
   171 
   172 As we mentioned above, graphs are not containers rather
   173 incidence structures which are iterable in many ways. LEMON introduces
   174 concepts that allow us to attach containers to graphs. These containers are
   175 called maps.
   176 
   177 In the example above we create an EdgeMap which assigns an integer value to all
   178 edges of the graph. We use the set member function of the map to write values
   179 into the map and the operator[] to retrieve them.
   180 
   181 Here we used the maps provided by the ListGraph class, but you can also write
   182 your own maps. You can read more about using maps \ref maps-page "here".
   183 
   184 */