3  * This file is a part of LEMON, a generic C++ optimization library
 
     5  * Copyright (C) 2003-2007
 
     6  * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 
     7  * (Egervary Research Group on Combinatorial Optimization, EGRES).
 
     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.
 
    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
 
    19 #include "test_tools.h"
 
    27 #include <lemon/mip_cplex.h>
 
    31 #include <lemon/mip_glpk.h>
 
    35 using namespace lemon;
 
    37 void solveAndCheck(MipSolverBase& lp, MipSolverBase::SolutionStatus stat, 
 
    43   std::ostringstream buf;
 
    44   buf << "Primalstatus should be: " << int(stat)<<" and it is "<<int(lp.mipStatus());
 
    47   //  itoa(stat,buf1, 10);
 
    48   check(lp.mipStatus()==stat, buf.str());
 
    50   if (stat ==  MipSolverBase::OPTIMAL) {
 
    51     std::ostringstream sbuf;
 
    52     buf << "Wrong optimal value: the right optimum is " << exp_opt; 
 
    53     check(std::abs(lp.primalValue()-exp_opt) < 1e-3, sbuf.str());
 
    58 void aTest(MipSolverBase& mip)
 
    60  //The following example is very simple
 
    63   typedef MipSolverBase::Row Row;
 
    64   typedef MipSolverBase::Col Col;
 
    68   Col x1 = mip.addCol();
 
    69   Col x2 = mip.addCol();
 
    78   //Unconstrained optimization
 
    83   mip.addRow(2*x1+x2 <=2);  
 
    84   mip.addRow(x1-2*x2 <=0);
 
    86   //Nonnegativity of the variable x1
 
    87   mip.colLowerBound(x1, 0);
 
    90   //over the triangle with vertices (0,0),(4/5,2/5),(0,2)
 
    91   double expected_opt=4.0/5.0;
 
    92   solveAndCheck(mip, MipSolverBase::OPTIMAL, expected_opt);
 
    94   //Restrict x2 to integer
 
    95   mip.colType(x2,MipSolverBase::INT);  
 
    97   solveAndCheck(mip, MipSolverBase::OPTIMAL, expected_opt);
 
   100   //Restrict both to integer
 
   101   mip.colType(x1,MipSolverBase::INT);  
 
   103   solveAndCheck(mip, MipSolverBase::OPTIMAL, expected_opt);