doc/quicktour.dox
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     1 /**
     2 
     3 \page quicktour Quick Tour to LEMON
     4 
     5 Let us first answer the question <b>"What do I want to use LEMON for?"
     6 </b>. 
     7 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? 
     9 It helps to write programs that solve optimization problems that arise
    10 frequently when <b>designing and testing certain networks</b>, for example
    11 in telecommunication, computer networks, and other areas that I cannot
    12 think of now. A very natural way of modelling these networks is by means
    13 of a <b> graph</b> (we will always mean a directed graph by that and say
    14 <b> undirected graph </b> otherwise). 
    15 So if you want to write a program that works with 
    16 graphs then you might find it useful to use our library LEMON. LEMON 
    17 defines various graph concepts depending on what you want to do with the 
    18 graph: a very good description can be found in the page
    19 about \ref graphs "graphs".
    20 
    21 You will also want to assign data to the edges or nodes of the graph, for
    22 example a length or capacity function defined on the edges. You can do this in
    23 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".
    24 
    25 In this quick tour we want to show you some facilities LEMON library can provide through examples (simple demo programs). The examples will only show part of the functionality, but links will always be given to reach complete details. 
    26 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 getstart "How to start using LEMON". 
    27 
    28 Have fun!
    29 
    30 <ul> <li> The first thing to discuss is the way one can create data structures
    31 like graphs and maps in a program using LEMON. 
    32 //There are more graph types
    33 //implemented in LEMON and you can implement your own graph type just as well:
    34 //read more about this in the already mentioned page on \ref graphs "graphs".
    35 
    36 First we show how to add nodes and edges to a graph manually. We will also
    37 define a map on the edges of the graph. After this we show the way one can
    38 read a graph (and perhaps maps on it) from a stream (e.g. a file). Of course
    39 we also have routines that write a graph (and perhaps maps) to a stream
    40 (file): this will also be shown. LEMON supports the DIMACS file formats to
    41 read network optimization problems, but more importantly we also have our own
    42 file format that gives a more flexible way to store data related to network
    43 optimization.
    44 
    45 <ol> <li>The following code shows how to build a graph from scratch
    46 and iterate on its nodes and edges.  This example also shows how to
    47 give a map on the edges of the graph.  The type Listgraph is one of
    48 the LEMON graph types: the typedefs in the beginning are for
    49 convenience and we will assume them later as well.
    50 
    51 \include hello_lemon.cc
    52 
    53 See the whole program in file \ref hello_lemon.cc in the \c demo subdir of
    54 LEMON package.
    55 
    56     If you want to read more on the LEMON graph structures and
    57 concepts, read the page about \ref graphs "graphs".
    58 
    59 
    60 <li>LEMON has an own file format for storing graphs, maps on edges/nodes and some other things. Instead of any explanation let us give a
    61 short example file in this format: read the detailed description of the LEMON
    62 graph file format and input-output routines here: \ref graph-io-page.
    63 
    64 So here is a file describing a graph of 6 nodes (0 to 5), two nodemaps
    65 (called \c coordinates_x and \c coordinates_y), several edges, an edge map
    66 called \c capacity and two designated nodes (called \c source and \c target).
    67 
    68 \include sample.lgf
    69 
    70 Finally let us give a simple example that reads a graph from a file and writes
    71 it to the standard output.
    72 
    73 \include reader_writer_demo.cc
    74 
    75 See the whole program in file \ref reader_writer_demo.cc.
    76 
    77 <li> The following code shows how to read a graph from a stream
    78 (e.g. a file) in the DIMACS file format (find the documentation of the
    79 DIMACS file formats on the web).
    80 
    81 \code
    82 Graph g;
    83 std::ifstream f("graph.dim");
    84 readDimacs(f, g);
    85 \endcode
    86 
    87 One can also store network (graph+capacity on the edges) instances and
    88 other things (minimum cost flow instances etc.) in DIMACS format and
    89 read these in LEMON: to see the details read the documentation of the
    90 \ref dimacs.h "Dimacs file format reader". 
    91 
    92 </ol>
    93 <li> If you want to solve some transportation problems in a network then 
    94 you will want to find shortest paths between nodes of a graph. This is 
    95 usually solved using Dijkstra's algorithm. A utility
    96 that solves this is  the \ref lemon::Dijkstra "LEMON Dijkstra class".
    97 The following code is a simple program using the 
    98 \ref lemon::Dijkstra "LEMON Dijkstra class": it calculates the shortest path between node \c s and \c t in a graph \c g.
    99 We omit the part reading the graph  \c g and the length map \c len.
   100 
   101 \dontinclude dijkstra_demo.cc
   102 \skip ListGraph
   103 \until Graph g
   104 ...
   105 \skip Dijkstra algorithm
   106 \until std::cout << g.id(s)
   107 
   108 See the whole program in \ref dijkstra_demo.cc.
   109 
   110 Some explanation: after instantiating a member of the Dijkstra class
   111 we run the Dijkstra algorithm from node \c s. After this we read some
   112 of the results.  You can do much more with the Dijkstra class, for
   113 example you can run it step by step and gain full control of the
   114 execution. For a detailed description, see the documentation of the
   115 \ref lemon::Dijkstra "LEMON Dijkstra class".
   116 
   117 
   118 <li> If you want to design a network and want to minimize the total length
   119 of wires then you might be looking for a <b>minimum spanning tree</b> in
   120 an undirected graph. This can be found using the Kruskal algorithm: the 
   121 function \ref lemon::kruskal "LEMON Kruskal ..." does this job for you.
   122 The following code fragment shows an example:
   123 
   124 Ide Zsuzska fog irni!
   125 
   126 <li>Many problems in network optimization can be formalized by means
   127 of a linear programming problem (LP problem, for short). In our
   128 library we decided not to write an LP solver, since such packages are
   129 available in the commercial world just as well as in the open source
   130 world, and it is also a difficult task to compete these. Instead we
   131 decided to develop an interface that makes it easier to use these
   132 solvers together with LEMON. The advantage of this approach is
   133 twofold. Firstly our C++ interface is more comfortable than the
   134 solvers' native interface. Secondly, changing the underlying solver in
   135 a certain software using LEMON's LP interface needs zero effort. So,
   136 for example, one may try his idea using a free solver, demonstrate its
   137 usability for a customer and if it works well, but the performance
   138 should be improved, then one may decide to purchase and use a better
   139 commercial solver.
   140 
   141 So far we have an
   142 interface for the commercial LP solver software \b CPLEX (developed by ILOG)
   143 and for the open source solver \b GLPK (a shorthand for Gnu Linear Programming
   144 Toolkit).
   145 
   146 We will show two examples, the first one shows how simple it is to formalize
   147 and solve an LP problem in LEMON, while the second one shows how LEMON
   148 facilitates solving network optimization problems using LP solvers.
   149 
   150 <ol>
   151 <li>The following code shows how to solve an LP problem using the LEMON lp
   152 interface. The code together with the comments is self-explanatory.
   153 
   154 \dontinclude lp_demo.cc
   155 \skip A default solver is taken
   156 \until End of LEMON style code
   157 
   158 See the whole code in \ref lp_demo.cc.
   159 
   160 <li>The second example shows how easy it is to formalize a max-flow
   161 problem as an LP problem using the LEMON LP interface: we are looking
   162 for a real valued function defined on the edges of the digraph
   163 satisfying the nonnegativity-, the capacity constraints and the
   164 flow-conservation constraints and giving the largest flow value
   165 between to designated nodes.
   166 
   167 In the following code we suppose that we already have the graph \c g,
   168 the capacity map \c cap, the source node \c s and the target node \c t
   169 in the memory. We will also omit the typedefs.
   170 
   171 \dontinclude lp_maxflow_demo.cc
   172 \skip Define a map on the edges for the variables of the LP problem
   173 \until lp.max();
   174 \skip Solve with the underlying solver
   175 \until lp.solve();
   176 
   177 
   178 The complete program can be found in file \ref lp_maxflow_demo.cc. After compiling run it in the form:
   179 
   180 <tt>./lp_maxflow_demo < sample.lgf</tt>
   181 
   182 where sample.lgf is a file in the lemon format containing a maxflow instance (designated "source", "target" nodes and "capacity" map on the edges).
   183 
   184 
   185 
   186 </ol>
   187 </ul>
   188 
   189 */