RhodeCode

        ++b;

      }

    }

  }

  void GlpkBase::_setObjCoeff(int i, Value obj_coef) {

    //i = 0 means the constant term (shift)

    glp_set_obj_coef(lp, i, obj_coef);

  }

  GlpkBase::Value GlpkBase::_getObjCoeff(int i) const {

    //i = 0 means the constant term (shift)

    return glp_get_obj_coef(lp, i);

  }

  void GlpkBase::_setSense(GlpkBase::Sense sense) {

    switch (sense) {

    case MIN:

      glp_set_obj_dir(lp, GLP_MIN);

      break;

    case MAX:

      glp_set_obj_dir(lp, GLP_MAX);

      break;

    }

  }

  GlpkBase::Sense GlpkBase::_getSense() const {

    switch(glp_get_obj_dir(lp)) {

    case GLP_MIN:

      return MIN;

    case GLP_MAX:

      return MAX;

    default:

      LEMON_ASSERT(false, "Wrong sense");

      return GlpkBase::Sense();

    }

  }

  void GlpkBase::_clear() {

    glp_erase_prob(lp);

    rows.clear();

    cols.clear();

  }

  void GlpkBase::freeEnv() {

    glp_free_env();

  }

  // GlpkLp members

  GlpkLp::GlpkLp()

    : LpBase(), GlpkBase(), LpSolver() {

    messageLevel(MESSAGE_NO_OUTPUT);

  }

  GlpkLp::GlpkLp(const GlpkLp& other)

    : LpBase(other), GlpkBase(other), LpSolver(other) {

    messageLevel(MESSAGE_NO_OUTPUT);

  }

  GlpkLp* GlpkLp::_newSolver() const { return new GlpkLp; }

  GlpkLp* GlpkLp::_cloneSolver() const { return new GlpkLp(*this); }

  const char* GlpkLp::_solverName() const { return "GlpkLp"; }

  void GlpkLp::_clear_temporals() {

    _primal_ray.clear();

    _dual_ray.clear();

  }

  GlpkLp::SolveExitStatus GlpkLp::_solve() {

    return solvePrimal();

  }

  GlpkLp::SolveExitStatus GlpkLp::solvePrimal() {

    _clear_temporals();

    glp_smcp smcp;

    glp_init_smcp(&smcp);

    switch (_message_level) {

    case MESSAGE_NO_OUTPUT:

      smcp.msg_lev = GLP_MSG_OFF;

      break;

    case MESSAGE_ERROR_MESSAGE:

      smcp.msg_lev = GLP_MSG_ERR;

      break;

    case MESSAGE_NORMAL_OUTPUT:

      smcp.msg_lev = GLP_MSG_ON;

      break;

    case MESSAGE_FULL_OUTPUT:

      smcp.msg_lev = GLP_MSG_ALL;

      break;

    }

    if (glp_simplex(lp, &smcp) != 0) return UNSOLVED;

    virtual int _addRow();

    virtual void _eraseCol(int i);

    virtual void _eraseRow(int i);

    virtual void _eraseColId(int i);

    virtual void _eraseRowId(int i);

    virtual void _getColName(int col, std::string& name) const;

    virtual void _setColName(int col, const std::string& name);

    virtual int _colByName(const std::string& name) const;

    virtual void _getRowName(int row, std::string& name) const;

    virtual void _setRowName(int row, const std::string& name);

    virtual int _rowByName(const std::string& name) const;

    virtual void _setRowCoeffs(int i, ExprIterator b, ExprIterator e);

    virtual void _getRowCoeffs(int i, InsertIterator b) const;

    virtual void _setColCoeffs(int i, ExprIterator b, ExprIterator e);

    virtual void _getColCoeffs(int i, InsertIterator b) const;

    virtual void _setCoeff(int row, int col, Value value);

    virtual Value _getCoeff(int row, int col) const;

    virtual void _setColLowerBound(int i, Value value);

    virtual Value _getColLowerBound(int i) const;

    virtual void _setColUpperBound(int i, Value value);

    virtual Value _getColUpperBound(int i) const;

    virtual void _setRowLowerBound(int i, Value value);

    virtual Value _getRowLowerBound(int i) const;

    virtual void _setRowUpperBound(int i, Value value);

    virtual Value _getRowUpperBound(int i) const;

    virtual void _setObjCoeffs(ExprIterator b, ExprIterator e);

    virtual void _getObjCoeffs(InsertIterator b) const;

    virtual void _setObjCoeff(int i, Value obj_coef);

    virtual Value _getObjCoeff(int i) const;

    virtual void _setSense(Sense);

    virtual Sense _getSense() const;

    virtual void _clear();

  public:

    ///Pointer to the underlying GLPK data structure.

    LPX *lpx() {return lp;}

    ///Const pointer to the underlying GLPK data structure.

    const LPX *lpx() const {return lp;}

    ///Returns the constraint identifier understood by GLPK.

    int lpxRow(Row r) const { return rows(id(r)); }

    ///Returns the variable identifier understood by GLPK.

    int lpxCol(Col c) const { return cols(id(c)); }

  };

  /// \brief Interface for the GLPK LP solver

  ///

  /// This class implements an interface for the GLPK LP solver.

  ///\ingroup lp_group

  class GlpkLp : public GlpkBase, public LpSolver {

  public:

    ///\e

    GlpkLp();

    ///\e

    GlpkLp(const GlpkLp&);

  private:

    mutable std::vector<double> _primal_ray;

    mutable std::vector<double> _dual_ray;

    void _clear_temporals();

  protected:

    virtual GlpkLp* _cloneSolver() const;

    virtual GlpkLp* _newSolver() const;

    virtual const char* _solverName() const;

    virtual SolveExitStatus _solve();

    virtual Value _getPrimal(int i) const;

    virtual Value _getDual(int i) const;

    virtual Value _getPrimalValue() const;

    virtual VarStatus _getColStatus(int i) const;

    virtual VarStatus _getRowStatus(int i) const;

        "The upper bound for the first row should be 1.");

  e = clp->row(upright);

  check(e[x1] == 1, "The first coefficient should 1.");

  check(e[x2] == 1, "The second coefficient should 1.");

  de = clp->col(x1);

  check(de[upright] == 1, "The first coefficient should 1.");

  delete clp;

  //Maximization of x1+x2

  //over the triangle with vertices (0,0) (0,1) (1,0)

  double expected_opt=1;

  solveAndCheck(lp, LpSolver::OPTIMAL, expected_opt);

  //Minimization

  lp.sense(lp.MIN);

  expected_opt=0;

  solveAndCheck(lp, LpSolver::OPTIMAL, expected_opt);

  //Vertex (-1,0) instead of (0,0)

  lp.colLowerBound(x1, -LpSolver::INF);

  expected_opt=-1;

  solveAndCheck(lp, LpSolver::OPTIMAL, expected_opt);

  //Erase one constraint and return to maximization

  lp.erase(upright);

  lp.sense(lp.MAX);

  expected_opt=LpSolver::INF;

  solveAndCheck(lp, LpSolver::UNBOUNDED, expected_opt);

  //Infeasibilty

  lp.addRow(x1+x2 <=-2);

  solveAndCheck(lp, LpSolver::INFEASIBLE, expected_opt);

}

int main()

{

  LpSkeleton lp_skel;

  lpTest(lp_skel);

#ifdef HAVE_GLPK

  {

    GlpkLp lp_glpk1,lp_glpk2;

    lpTest(lp_glpk1);

    aTest(lp_glpk2);

  }

#endif

#ifdef HAVE_CPLEX

  try {

    CplexLp lp_cplex1,lp_cplex2;

    lpTest(lp_cplex1);

    aTest(lp_cplex2);

  } catch (CplexEnv::LicenseError& error) {

#ifdef LEMON_FORCE_CPLEX_CHECK

    check(false, error.what());

#else

    std::cerr << error.what() << std::endl;

    std::cerr << "Cplex license check failed, lp check skipped" << std::endl;

#endif

  }

#endif

#ifdef HAVE_SOPLEX

  {

    SoplexLp lp_soplex1,lp_soplex2;

    lpTest(lp_soplex1);

    aTest(lp_soplex2);

  }

#endif

#ifdef HAVE_CLP

  {

    ClpLp lp_clp1,lp_clp2;

    lpTest(lp_clp1);

    aTest(lp_clp2);

  }

#endif

  return 0;

}

  //Objective function

  mip.obj(x1);

  mip.max();

  //Unconstrained optimization

  mip.solve();

  //Check it out!

  //Constraints

  mip.addRow(2*x1+x2 <=2);

  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);

}

int main()

{

#ifdef HAVE_GLPK

  {

    GlpkMip mip1;

    aTest(mip1);

  }

#endif

#ifdef HAVE_CPLEX

  try {

    CplexMip mip2;

    aTest(mip2);

  } catch (CplexEnv::LicenseError& error) {

#ifdef LEMON_FORCE_CPLEX_CHECK

    check(false, error.what());

#else

    std::cerr << error.what() << std::endl;

    std::cerr << "Cplex license check failed, lp check skipped" << std::endl;

#endif

  }

#endif

  return 0;

}