test/mip_test.cc
changeset 614 3314f58e7b25
parent 598 9d0d7e20f76d
child 622 3cbddc293cf9
     1.1 --- a/test/mip_test.cc	Thu Apr 02 19:29:56 2009 +0200
     1.2 +++ b/test/mip_test.cc	Wed Apr 01 22:58:58 2009 +0200
     1.3 @@ -18,7 +18,6 @@
     1.4  
     1.5  #include "test_tools.h"
     1.6  
     1.7 -
     1.8  #ifdef HAVE_CONFIG_H
     1.9  #include <lemon/config.h>
    1.10  #endif
    1.11 @@ -31,6 +30,10 @@
    1.12  #include <lemon/glpk.h>
    1.13  #endif
    1.14  
    1.15 +#ifdef HAVE_CBC
    1.16 +#include <lemon/cbc.h>
    1.17 +#endif
    1.18 +
    1.19  
    1.20  using namespace lemon;
    1.21  
    1.22 @@ -57,14 +60,13 @@
    1.23  
    1.24  void aTest(MipSolver& mip)
    1.25  {
    1.26 - //The following example is very simple
    1.27 +  //The following example is very simple
    1.28  
    1.29  
    1.30    typedef MipSolver::Row Row;
    1.31    typedef MipSolver::Col Col;
    1.32  
    1.33  
    1.34 -
    1.35    Col x1 = mip.addCol();
    1.36    Col x2 = mip.addCol();
    1.37  
    1.38 @@ -74,23 +76,24 @@
    1.39  
    1.40    mip.max();
    1.41  
    1.42 -
    1.43    //Unconstrained optimization
    1.44    mip.solve();
    1.45    //Check it out!
    1.46  
    1.47    //Constraints
    1.48 -  mip.addRow(2*x1+x2 <=2);
    1.49 -  mip.addRow(x1-2*x2 <=0);
    1.50 +  mip.addRow(2 * x1 + x2 <= 2);
    1.51 +  Row y2 = mip.addRow(x1 - 2 * x2 <= 0);
    1.52  
    1.53    //Nonnegativity of the variable x1
    1.54    mip.colLowerBound(x1, 0);
    1.55  
    1.56 +
    1.57    //Maximization of x1
    1.58    //over the triangle with vertices (0,0),(4/5,2/5),(0,2)
    1.59    double expected_opt=4.0/5.0;
    1.60    solveAndCheck(mip, MipSolver::OPTIMAL, expected_opt);
    1.61  
    1.62 +
    1.63    //Restrict x2 to integer
    1.64    mip.colType(x2,MipSolver::INTEGER);
    1.65    expected_opt=1.0/2.0;
    1.66 @@ -102,10 +105,15 @@
    1.67    expected_opt=0;
    1.68    solveAndCheck(mip, MipSolver::OPTIMAL, expected_opt);
    1.69  
    1.70 -
    1.71 +  //Erase a variable
    1.72 +  mip.erase(x2);
    1.73 +  mip.rowUpperBound(y2, 8);
    1.74 +  expected_opt=1;
    1.75 +  solveAndCheck(mip, MipSolver::OPTIMAL, expected_opt);
    1.76  
    1.77  }
    1.78  
    1.79 +
    1.80  template<class MIP>
    1.81  void cloneTest()
    1.82  {
    1.83 @@ -144,6 +152,14 @@
    1.84    }
    1.85  #endif
    1.86  
    1.87 +#ifdef HAVE_CBC
    1.88 +  {
    1.89 +    CbcMip mip1;
    1.90 +    aTest(mip1);
    1.91 +    cloneTest<CbcMip>();
    1.92 +  }
    1.93 +#endif
    1.94 +
    1.95    return 0;
    1.96  
    1.97  }