Changes in doc/groups.dox [71:9df0fe5e5109:83:3654324ec035] in lemon1.0
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doc/groups.dox
r71 r83 39 39 the diverging requirements of the possible users. In order to save on 40 40 running time or on memory usage, some structures may fail to provide 41 some graph features like edge or node deletion.41 some graph features like arc/edge or node deletion. 42 42 43 43 Alteration of standard containers need a very limited number of … … 45 45 In the case of graph structures, different operations are needed which do 46 46 not alter the physical graph, but gives another view. If some nodes or 47 edges have to be hidden or the reverse oriented graph have to be used, then 47 arcs have to be hidden or the reverse oriented graph have to be used, then 48 48 this is the case. It also may happen that in a flow implementation 49 49 the residual graph can be accessed by another algorithm, or a nodeset … … 82 82 @defgroup graph_maps Graph Maps 83 83 @ingroup maps 84 \brief Special GraphRelated Maps.84 \brief Special graphrelated maps. 85 85 86 86 This group describes maps that are specifically designed to assign 87 values to the nodes and edges of graphs.87 values to the nodes and arcs of graphs. 88 88 */ 89 89 … … 97 97 maps from other maps. 98 98 99 Most of them are \ref lemon::concepts::ReadMap " ReadMap"s. They can100 make arithmetic operations between one or two maps (negation, scaling, 101 addition, multiplication etc.) or e.g. convert a map to another one 102 of different Value type.99 Most of them are \ref lemon::concepts::ReadMap "readonly maps". 100 They can make arithmetic and logical operations between one or two maps 101 (negation, shifting, addition, multiplication, logical 'and', 'or', 102 'not' etc.) or e.g. convert a map to another one of different Value type. 103 103 104 104 The typical usage of this classes is passing implicit maps to 105 105 algorithms. If a function type algorithm is called then the function 106 106 type map adaptors can be used comfortable. For example let's see the 107 usage of map adaptors with the \c graphToEps() function:107 usage of map adaptors with the \c digraphToEps() function. 108 108 \code 109 109 Color nodeColor(int deg) { … … 117 117 } 118 118 119 Graph::NodeMap<int> degree_map(graph);119 Digraph::NodeMap<int> degree_map(graph); 120 120 121 graphToEps(graph, "graph.eps")121 digraphToEps(graph, "graph.eps") 122 122 .coords(coords).scaleToA4().undirected() 123 .nodeColors(composeMap(functor Map(nodeColor), degree_map))123 .nodeColors(composeMap(functorToMap(nodeColor), degree_map)) 124 124 .run(); 125 125 \endcode 126 The \c functor Map() function makes an \c int to \c Color map from the126 The \c functorToMap() function makes an \c int to \c Color map from the 127 127 \e nodeColor() function. The \c composeMap() compose the \e degree_map 128 and the previous created map. The composed map isproper function to129 get color of each node.128 and the previously created map. The composed map is a proper function to 129 get the color of each node. 130 130 131 131 The usage with class type algorithms is little bit harder. In this … … 133 133 function map adaptors give back temporary objects. 134 134 \code 135 Graph graph; 136 137 typedef Graph::EdgeMap<double> DoubleEdgeMap; 138 DoubleEdgeMap length(graph); 139 DoubleEdgeMap speed(graph); 140 141 typedef DivMap<DoubleEdgeMap, DoubleEdgeMap> TimeMap; 142 135 Digraph graph; 136 137 typedef Digraph::ArcMap<double> DoubleArcMap; 138 DoubleArcMap length(graph); 139 DoubleArcMap speed(graph); 140 141 typedef DivMap<DoubleArcMap, DoubleArcMap> TimeMap; 143 142 TimeMap time(length, speed); 144 143 145 Dijkstra< Graph, TimeMap> dijkstra(graph, time);144 Dijkstra<Digraph, TimeMap> dijkstra(graph, time); 146 145 dijkstra.run(source, target); 147 146 \endcode 148 149 We have a length map and a maximum speed map on a graph. The minimum 150 time to pass the edge can be calculated as the division of the two 151 maps which can be done implicitly with the \c DivMap template 147 We have a length map and a maximum speed map on the arcs of a digraph. 148 The minimum time to pass the arc can be calculated as the division of 149 the two maps which can be done implicitly with the \c DivMap template 152 150 class. We use the implicit minimum time map as the length map of the 153 151 \c Dijkstra algorithm. … … 316 314 This group contains algorithm objects and functions to calculate 317 315 matchings in graphs and bipartite graphs. The general matching problem is 318 finding a subset of the edges which does not shares common endpoints.316 finding a subset of the arcs which does not shares common endpoints. 319 317 320 318 There are several different algorithms for calculate matchings in
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