/**

 \page quicktour Quick Tour to LEMON

 Let us first answer the question <b>"What do I want to use LEMON for?"

 </b>. 

 LEMON is a C++ library, so you can use it if you want to write C++ 

 programs. What kind of tasks does the library LEMON help to solve? 

 It helps to write programs that solve optimization problems that arise

 frequently when <b>designing and testing certain networks</b>, for example

 in telecommunication, computer networks, and other areas that I cannot

 think of now. A very natural way of modelling these networks is by means

 of a <b> graph</b> (we will always mean a directed graph by that and say

 <b> undirected graph </b> otherwise). 

 So if you want to write a program that works with 

 graphs then you might find it useful to use our library LEMON. LEMON 

 defines various graph concepts depending on what you want to do with the 

 graph: a very good description can be found in the page

 about \ref graphs "graphs".

 You will also want to assign data to the edges or nodes of the graph, for

 example a length or capacity function defined on the edges. You can do this in

 LEMON using so called \b maps. You can define a map on the nodes or on the edges of the graph and the value of the map (the range of the function) can be practically almost of any type. Read more about maps \ref maps-page "here".

 Some examples are the following (you will find links next to the code fragments that help to download full demo programs: save them on your computer and compile them according to the description in the page about \ref getsart How to start using LEMON):

 <ul>

 <li> First we give two examples that show how to instantiate a graph. The

 first one shows the methods that add nodes and edges, but one will

 usually use the second way which reads a graph from a stream (file).

 <ol>

 <li>The following code fragment shows how to fill a graph with data. It creates a complete graph on 4 nodes. The type Listgraph is one of the LEMON graph types: the typedefs in the beginning are for convenience and we will suppose them later as well.

  \code

   typedef ListGraph Graph;

   typedef Graph::NodeIt NodeIt;

   Graph g;

   for (int i = 0; i < 3; i++)

     g.addNode();

   for (NodeIt i(g); i!=INVALID; ++i)

     for (NodeIt j(g); j!=INVALID; ++j)

       if (i != j) g.addEdge(i, j);

  \endcode 

 See the whole program in file \ref helloworld.cc.

     If you want to read more on the LEMON graph structures and concepts, read the page about \ref graphs "graphs". 

 <li> The following code shows how to read a graph from a stream (e.g. a file). LEMON supports the DIMACS file format: it can read a graph instance from a file 

 in that format (find the documentation of the DIMACS file format on the web). 

 \code

 Graph g;

 std::ifstream f("graph.dim");

 readDimacs(f, g);

 \endcode

 One can also store network (graph+capacity on the edges) instances and other things in DIMACS format and use these in LEMON: to see the details read the documentation of the \ref dimacs.h "Dimacs file format reader".

 </ol>

 <li> If you want to solve some transportation problems in a network then 

 you will want to find shortest paths between nodes of a graph. This is 

 usually solved using Dijkstra's algorithm. A utility

 that solves this is  the \ref lemon::Dijkstra "LEMON Dijkstra class".

 The following code is a simple program using the \ref lemon::Dijkstra "LEMON

 Dijkstra class" and it also shows how to define a map on the edges (the length

 function):

 \code

     typedef ListGraph Graph;

     typedef Graph::Node Node;

     typedef Graph::Edge Edge;

     typedef Graph::EdgeMap<int> LengthMap;

     Graph g;

     //An example from Ahuja's book

     Node s=g.addNode();

     Node v2=g.addNode();

     Node v3=g.addNode();

     Node v4=g.addNode();

     Node v5=g.addNode();

     Node t=g.addNode();

     Edge s_v2=g.addEdge(s, v2);

     Edge s_v3=g.addEdge(s, v3);

     Edge v2_v4=g.addEdge(v2, v4);

     Edge v2_v5=g.addEdge(v2, v5);

     Edge v3_v5=g.addEdge(v3, v5);

     Edge v4_t=g.addEdge(v4, t);

     Edge v5_t=g.addEdge(v5, t);

     LengthMap len(g);

     len.set(s_v2, 10);

     len.set(s_v3, 10);

     len.set(v2_v4, 5);

     len.set(v2_v5, 8);

     len.set(v3_v5, 5);

     len.set(v4_t, 8);

     len.set(v5_t, 8);

     std::cout << "The id of s is " << g.id(s)<< std::endl;

     std::cout <<"The id of t is " << g.id(t)<<"."<<std::endl;

     std::cout << "Dijkstra algorithm test..." << std::endl;

     Dijkstra<Graph, LengthMap> dijkstra_test(g,len);

     dijkstra_test.run(s);

     std::cout << "The distance of node t from node s: " << dijkstra_test.dist(t)<<std::endl;

     std::cout << "The shortest path from s to t goes through the following nodes" <<std::endl;

  std::cout << " (the first one is t, the last one is s): "<<std::endl;

     for (Node v=t;v != s; v=dijkstra_test.predNode(v)){

 	std::cout << g.id(v) << "<-";

     }

     std::cout << g.id(s) << std::endl;	

 \endcode

 See the whole program in \ref dijkstra_demo.cc.

 The first part of the code is self-explanatory: we build the graph and set the

 length values of the edges. Then we instantiate a member of the Dijkstra class

 and run the Dijkstra algorithm from node \c s. After this we read some of the

 results. 

 You can do much more with the Dijkstra class, for example you can run it step

 by step and gain full control of the execution. For a detailed description, see the documentation of the \ref lemon::Dijkstra "LEMON Dijkstra class".

 <li> If you want to design a network and want to minimize the total length

 of wires then you might be looking for a <b>minimum spanning tree</b> in

 an undirected graph. This can be found using the Kruskal algorithm: the 

 class \ref lemon::Kruskal "LEMON Kruskal class" does this job for you.

 The following code fragment shows an example:

 Ide Zsuzska fog irni!

 <li>Many problems in network optimization can be formalized by means of a

 linear programming problem (LP problem, for short). In our library we decided

 not to write an LP solver, since such packages are available in the commercial

 world just as well as in the open source world, and it is also a difficult

 task to compete these. Instead we decided to develop an interface that makes

 it easier to use these solvers together with LEMON. So far we have an

 interface for the commercial LP solver software \b CLPLEX (developed by ILOG)

 and for the open source solver \b GLPK (a shorthand for Gnu Linear Programming

 Toolkit). 

 We will show two examples, the first one shows how simple it is to formalize

 and solve an LP problem in LEMON, while the second one shows how LEMON

 facilitates solving network optimization problems using LP solvers.

 <ol>

 <li>The following code shows how to solve an LP problem using the LEMON lp

 interface. 

 \code

   //A default solver is taken

   LpDefault lp;

   typedef LpDefault::Row Row;

   typedef LpDefault::Col Col;

   //This will be a maximization

   lp.max();

   //We add coloumns (variables) to our problem

   Col x1 = lp.addCol();

   Col x2 = lp.addCol();

   Col x3 = lp.addCol();

   //Constraints

   lp.addRow(x1+x2+x3 <=100);  

   lp.addRow(10*x1+4*x2+5*x3<=600);  

   lp.addRow(2*x1+2*x2+6*x3<=300);  

   //Nonnegativity of the variables

   lp.colLowerBound(x1, 0);

   lp.colLowerBound(x2, 0);

   lp.colLowerBound(x3, 0);

   //Objective function

   lp.setObj(10*x1+6*x2+4*x3);

   //Call the routine of the underlying LP solver

   lp.solve();

   //Print results

   if (lp.primalStatus()==LpSolverBase::OPTIMAL){

     printf("Z = %g; x1 = %g; x2 = %g; x3 = %g\n", 

 	   lp.primalValue(), 

 	   lp.primal(x1), lp.primal(x2), lp.primal(x3));

   }

   else{

     std::cout<<"Optimal solution not found!"<<std::endl;

   }

 \endcode

 See the whole code in \ref lp_demo.cc.

 <li>The second example shows how easy it is to formalize a network

 optimization problem as an LP problem using the LEMON LP interface.

 </ol>

 </ul>

 */