doc/basic_concepts.dox
author deba
Fri, 03 Nov 2006 16:29:32 +0000
changeset 2293 1ee6e8788cc7
parent 2195 f47faf6913ab
child 2350 eb371753e814
permissions -rw-r--r--
First implementation of the static graph class
It could be improved to get better running times on benchmarks
     1 /**
     2 \page basic_concepts Basic concepts
     3 
     4 \section basic_graph The graph classes
     5 The most important classes in LEMON are the graph classes. An instance of a graph
     6 class is the representation of the mathematical graph. It holds the topology and
     7 every structural information of the graph. The structural manipulations are also
     8 provided by the graph object. There is no universal graph class instead we have
     9 different classes for different purposes. They can differ in many ways, but all
    10 have to satisfy one or more \ref concept "graph concepts" which are standardized
    11 interfaces to work with the rest of the library. The most basic concept is the
    12 \ref Graph.<br>
    13 A good example is the \ref ListGraph which we already know from Hello World and
    14 will be used in our examples as well.
    15 
    16 One main advantage of the templates are, that you can write your own graph classes.
    17 As long as they provide the interface a concept is defining all the LEMON algorithms
    18 and classes will work with it properly - no representation or implementation is
    19 written into stone.
    20 
    21 
    22 \subsection basic_node Nodes
    23 To refer to a node of a graph we need some kind of typed variable. Graph classes
    24 have the Node public type for this purpose. Stacking by the last example:
    25 \code lemon::ListGraph::Node \endcode
    26 
    27 If the graph fits the ExtendableGraphComponent concept, then you can add new nodes
    28 to the graph with the addNode() member function. It returns the newly added node
    29 (as value). So if you need the new node to do something useful with, for example
    30 create an edge, assign a value to it through \ref map1 maps.
    31 \code lemon::ListGraph::Node  new_node = graph.addNode(); \endcode
    32 
    33 If the graph fits into the ErasableGraphComponent concept you can also remove nodes
    34 from the graph with the erase() member function.
    35 \code graph.erase( new_node ); \endcode
    36 
    37 You don't have to store every node in a variable, you can access individual nodes
    38 with node iterators discussed in the next section. But how do you know which
    39 node is which?<br>
    40 The graph class has the id( Node n ) member function providing an unique identifier
    41 assigned to every node.
    42 
    43 
    44 \subsection basic_edge Edges
    45 An Edge is what you think it is. It goes from one node to another node (they can
    46 be identical if the edge is a loop). If the graph class is directed, the Edge is directed too. Otherwise
    47 the edge is considered undirected and called UEdge.
    48 \code lemon::ListUGraph::UEdge \endcode
    49 
    50 The addEdge() member function will create a new edge. It has two arguments, the
    51 source node and the target node. The graph class must be extendable.
    52 \code lemon::ListGraph::Edge  new_edge = graph.addEdge( src_node, trg_node ); \endcode
    53 You can handle edges similar as nodes. The erase() member function has an edge taking
    54 overload too.
    55 
    56 You can ask for the source or target node of the edge by the corresponding member
    57 functions:
    58 \code
    59 graph.source( new_edge );
    60 lemon::ListGraph::Node  n = graph.target( new_edge ); \endcode
    61 These functions are always legal even if the graph is undirected. UEdge has a
    62 default direction.
    63 
    64 
    65 \section basic_iterators Iterators
    66 Graphs are some kind of containers. And as you expect they have iterator types.
    67 One for nodes and a couple for edges - and special classes can have additional
    68 iterators too. An example:
    69 \code lemon::ListGraph::NodeIt \endcode
    70 This is a node iterator. Every iterator type starts with a name that refers to
    71 the iterated object, and ends with 'It'.
    72 
    73 LEMON style iterators differ from \c stl or \c boost iterators in a very tasty
    74 way. A graph has no begin or end - or at least a generic graph class has none.
    75 If by some topology you could pick a good begin node, it would be misleading and
    76 incorrect. A LEMON style iterator must be initialized at construction time.
    77 The constructor takes the needed parameters - by a node iterator it's the graph
    78 object. And will be compared to the lemon::INVALID to check if it's still valid.
    79 Every iterator can be compared to INVALID. No \c begin() or \c end() needed.<br>
    80 Let's see these things working together:
    81 \code
    82 for( ListGraph::NodeIt n(graph); n != INVALID; ++n )
    83     do_useful_things_with_node(n);
    84 \endcode
    85 Note that the function \c do_useful_things_with_node() expects a Node type argument
    86 ad we just gave him the iterator. LEMON style iterators must provide "on demand
    87 dereferencing". For example a NodeIt can be used everywhere a Node could. (In some
    88 graph classes Node is the base class of NodeIt. But in other cases this is implemented
    89 through typecast operator.)
    90 
    91 <b>Very important!</b> The iteration has no defined order. There is absolutely no
    92 warranty that the next time the iteration will give us the nodes in the same order.
    93 Don't use this order to identify nodes! Use the \c id() member function of the
    94 graph class described above. (There is a powerful technique using maps right in
    95 the next page.)
    96 
    97 The \ref EdgeIt works exactly the same - nothing more to say. But there are \ref InEdgeIt
    98 and \ref OutEdgeIt by directed graphs and \ref IncEdgeIt by undirected graphs.
    99 They take two arguments. The first is a graph, the second is certain node of the
   100 graph. InEdgeIt iterates on the incoming edges of that node and OutEdgeIt does it
   101 on the outgoing edges. The IncEdgeIt of course iterates every edge connecting to
   102 the given node.
   103 
   104 \code
   105 for( ListGraph::NodeIt n(graph); n != INVALID; ++n ) {
   106   int in = 0, out = 0;
   107   for( ListGraph::InEdgeIt e(graph,n); e != INVALID; ++e ) ++in;
   108   for( ListGraph::OutEdgeIt e(graph,n); e != INVALID; ++e ) ++out;
   109 
   110   std::cout << "#" << graph.id(n) << " node has " << in << " incoming and "
   111     << out << "outgoing edges." << std::endl;
   112 }
   113 \endcode
   114 
   115 
   116 \section basic_ListGraph ListGraph - a versatile directed graph
   117 As you see ListGraph satisfies most of the basic concepts and ideal for general
   118 graph representations. It has an undirected version too: ListUGraph.
   119 */