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/* -*- mode: C++; indent-tabs-mode: nil; -*-
*
* This file is a part of LEMON, a generic C++ optimization library.
*
* Copyright (C) 2003-2009
* Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
* (Egervary Research Group on Combinatorial Optimization, EGRES).
*
* Permission to use, modify and distribute this software is granted
* provided that this copyright notice appears in all copies. For
* precise terms see the accompanying LICENSE file.
*
* This software is provided "AS IS" with no warranty of any kind,
* express or implied, and with no claim as to its suitability for any
* purpose.
*
*/
#include "test_tools.h"
#include <lemon/config.h>
#ifdef LEMON_HAVE_CPLEX
#include <lemon/cplex.h>
#endif
#ifdef LEMON_HAVE_GLPK
#include <lemon/glpk.h>
#endif
#ifdef LEMON_HAVE_CBC
#include <lemon/cbc.h>
#endif
using namespace lemon;
void solveAndCheck(MipSolver& mip, MipSolver::ProblemType stat,
double exp_opt) {
using std::string;
mip.solve();
//int decimal,sign;
std::ostringstream buf;
buf << "Type should be: " << int(stat)<<" and it is "<<int(mip.type());
// itoa(stat,buf1, 10);
check(mip.type()==stat, buf.str());
if (stat == MipSolver::OPTIMAL) {
std::ostringstream sbuf;
sbuf << "Wrong optimal value ("<< mip.solValue()
<<" instead of " << exp_opt << ")";
check(std::abs(mip.solValue()-exp_opt) < 1e-3, sbuf.str());
//+ecvt(exp_opt,2)
}
}
void aTest(MipSolver& mip)
{
//The following example is very simple
typedef MipSolver::Row Row;
typedef MipSolver::Col Col;
Col x1 = mip.addCol();
Col x2 = mip.addCol();
//Objective function
mip.obj(x1);
mip.max();
//Unconstrained optimization
mip.solve();
//Check it out!
//Constraints
mip.addRow(2 * x1 + x2 <= 2);
Row y2 = mip.addRow(x1 - 2 * x2 <= 0);
//Nonnegativity of the variable x1
mip.colLowerBound(x1, 0);
//Maximization of x1
//over the triangle with vertices (0,0),(4/5,2/5),(0,2)
double expected_opt=4.0/5.0;
solveAndCheck(mip, MipSolver::OPTIMAL, expected_opt);
//Restrict x2 to integer
mip.colType(x2,MipSolver::INTEGER);
expected_opt=1.0/2.0;
solveAndCheck(mip, MipSolver::OPTIMAL, expected_opt);
//Restrict both to integer
mip.colType(x1,MipSolver::INTEGER);
expected_opt=0;
solveAndCheck(mip, MipSolver::OPTIMAL, expected_opt);
//Erase a variable
mip.erase(x2);
mip.rowUpperBound(y2, 8);
expected_opt=1;
solveAndCheck(mip, MipSolver::OPTIMAL, expected_opt);
}
template<class MIP>
void cloneTest()
{
MIP* mip = new MIP();
MIP* mipnew = mip->newSolver();
MIP* mipclone = mip->cloneSolver();
delete mip;
delete mipnew;
delete mipclone;
}
int main()
{
#ifdef LEMON_HAVE_GLPK
{
GlpkMip mip1;
aTest(mip1);
cloneTest<GlpkMip>();
}
#endif
#ifdef LEMON_HAVE_CPLEX
try {
CplexMip mip2;
aTest(mip2);
cloneTest<CplexMip>();
} catch (CplexEnv::LicenseError& error) {
check(false, error.what());
}
#endif
#ifdef LEMON_HAVE_CBC
{
CbcMip mip1;
aTest(mip1);
cloneTest<CbcMip>();
}
#endif
return 0;
}
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