demo/lp_demo.cc
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     1 /* -*- mode: C++; indent-tabs-mode: nil; -*-
       
     2  *
       
     3  * This file is a part of LEMON, a generic C++ optimization library.
       
     4  *
       
     5  * Copyright (C) 2003-2010
       
     6  * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
       
     7  * (Egervary Research Group on Combinatorial Optimization, EGRES).
       
     8  *
       
     9  * Permission to use, modify and distribute this software is granted
       
    10  * provided that this copyright notice appears in all copies. For
       
    11  * precise terms see the accompanying LICENSE file.
       
    12  *
       
    13  * This software is provided "AS IS" with no warranty of any kind,
       
    14  * express or implied, and with no claim as to its suitability for any
       
    15  * purpose.
       
    16  *
       
    17  */
       
    18 
       
    19 ///\file
       
    20 ///\brief Demo program for the LP solver interface.
       
    21 ///
       
    22 /// This demo program shows how the LEMON LP solver interface can be used.
       
    23 /// A simple linear programming (LP) problem is formulated and solved using
       
    24 /// the default LP solver (e.g. GLPK).
       
    25 ///
       
    26 /// \include lp_demo.cc
       
    27 
       
    28 #include <iostream>
       
    29 #include <lemon/lp.h>
       
    30 
       
    31 using namespace lemon;
       
    32 
       
    33 int main()
       
    34 {
       
    35   // Create an instance of the default LP solver class
       
    36   // (it will represent an "empty" problem at first)
       
    37   Lp lp;
       
    38 
       
    39   // Add two columns (variables) to the problem
       
    40   Lp::Col x1 = lp.addCol();
       
    41   Lp::Col x2 = lp.addCol();
       
    42 
       
    43   // Add rows (constraints) to the problem
       
    44   lp.addRow(x1 - 5 <= x2);
       
    45   lp.addRow(0 <= 2 * x1 + x2 <= 25);
       
    46   
       
    47   // Set lower and upper bounds for the columns (variables)
       
    48   lp.colLowerBound(x1, 0);
       
    49   lp.colUpperBound(x2, 10);
       
    50   
       
    51   // Specify the objective function
       
    52   lp.max();
       
    53   lp.obj(5 * x1 + 3 * x2);
       
    54   
       
    55   // Solve the problem using the underlying LP solver
       
    56   lp.solve();
       
    57 
       
    58   // Print the results
       
    59   if (lp.primalType() == Lp::OPTIMAL) {
       
    60     std::cout << "Objective function value: " << lp.primal() << std::endl;
       
    61     std::cout << "x1 = " << lp.primal(x1) << std::endl;
       
    62     std::cout << "x2 = " << lp.primal(x2) << std::endl;
       
    63   } else {
       
    64     std::cout << "Optimal solution not found." << std::endl;
       
    65   }
       
    66 
       
    67   return 0;
       
    68 }