doc/quicktour.dox
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parent 1578 1d3a1bcbc874
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     1 /**
     1 /**
     2 
     2 
     3 \page quicktour Quick Tour to LEMON
     3 \page quicktour Quick Tour to LEMON
     4 
     4 
     5 Let us first answer the question <b>"What do I want to use LEMON for?"
     5 Let us first answer the question <b>"What do I want to use LEMON for?"</b>. 
     6 </b>. 
       
     7 LEMON is a C++ library, so you can use it if you want to write C++ 
     6 LEMON is a C++ library, so you can use it if you want to write C++ 
     8 programs. What kind of tasks does the library LEMON help to solve? 
     7 programs. What kind of tasks does the library LEMON help to solve? 
     9 It helps to write programs that solve optimization problems that arise
     8 It helps to write programs that solve optimization problems that arise
    10 frequently when <b>designing and testing certain networks</b>, for example
     9 frequently when <b>designing and testing certain networks</b>, for example
    11 in telecommunication, computer networks, and other areas that I cannot
    10 in telecommunication, computer networks, and other areas that I cannot
   144 <li> If you want to design a network and want to minimize the total
   143 <li> If you want to design a network and want to minimize the total
   145 length of wires then you might be looking for a <b>minimum spanning
   144 length of wires then you might be looking for a <b>minimum spanning
   146 tree</b> in an undirected graph. This can be found using the Kruskal
   145 tree</b> in an undirected graph. This can be found using the Kruskal
   147 algorithm: the function \ref lemon::kruskal "LEMON Kruskal " does
   146 algorithm: the function \ref lemon::kruskal "LEMON Kruskal " does
   148 this job for you.  After we had a graph \c g and a cost map \c
   147 this job for you.  After we had a graph \c g and a cost map \c
   149 edge_cost_map , the following code fragment shows an example how to get weight of the minmum spanning tree, if the costs are uniform:
   148 edge_cost_map , the following code fragment shows an example how to get weight of the minmum spanning tree (in this first example the costs are uniform; this is of course not the case in real life applications):
   150 
   149 
   151 \dontinclude kruskal_demo.cc
   150 \dontinclude kruskal_demo.cc
   152 \skip std::cout 
   151 \skip std::cout 
   153 \until kruskal
   152 \until kruskal
   154 
   153 
   155 It gives back a edge bool map, which contains the edges of the tree.
   154 In the variable \c tree_map the function gives back an edge bool map, which contains the edges of the found tree.
       
   155 
   156 If the costs are non-uniform, for example  the cost is given by \c
   156 If the costs are non-uniform, for example  the cost is given by \c
   157 edge_cost_map_2 , or the edges of the tree are have to be given in a
   157 edge_cost_map_2 , or the edges of the tree  have to be given in a
   158 vector, then we can give to the kruskal a vector \c tree_edge_vec , instead of
   158 vector, then we can give to the kruskal a vector \c tree_edge_vec , instead of
   159 an edge bool map:
   159 an edge bool map:
   160 
   160 
   161 \skip edge_cost_map_2 
   161 \skip edge_cost_map_2 
   162 \until edge_cost_map_2, std::back_inserter
   162 \until edge_cost_map_2, std::back_inserter