LEMON/LEMON-official Changeset - r630:99a31b399b59

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Changeset - r630:99a31b399b59

« 625:a2e6b1
« 629:7a28e2

633:7c1206 »
632:65fbcf »
631:33c6b6 »

r630:99a31b399b59

Tue, 14 Apr 2009 11:40:33

[Not Reviewed]

0 comments (0 inline)

alpar (Alpar Juttner)
alpar@cs.elte.hu

Merge

0 16 0

merge default

0 files changed with 187 insertions and 198 deletions:

lemon/cbc.cc

lemon/cbc.h

lemon/clp.cc

lemon/clp.h

lemon/cplex.cc

lemon/cplex.h

lemon/glpk.cc

lemon/glpk.h

lemon/lp_base.h

lemon/lp_skeleton.cc

lemon/lp_skeleton.h

lemon/soplex.cc

lemon/soplex.h

test/lp_test.cc

test/mip_test.cc

tools/lemon-0.x-to-1.x.sh

↑ Collapse diff ↑

lemon/cbc.cc

Show inline comments

 		/* -*- 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.
+		 *
 		 */
 		///\file
 		///\brief Implementation of the CBC MIP solver interface.
 		#include "cbc.h"
 		#include <coin/CoinModel.hpp>
 		#include <coin/CbcModel.hpp>
 		#include <coin/OsiSolverInterface.hpp>
 		#ifdef COIN_HAS_CLP
 		#include "coin/OsiClpSolverInterface.hpp"
 		#endif
 		#ifdef COIN_HAS_OSL
 		#include "coin/OsiOslSolverInterface.hpp"
 		#endif
 		#include "coin/CbcCutGenerator.hpp"
 		#include "coin/CbcHeuristicLocal.hpp"
 		#include "coin/CbcHeuristicGreedy.hpp"
 		#include "coin/CbcHeuristicFPump.hpp"
 		#include "coin/CbcHeuristicRINS.hpp"
 		#include "coin/CglGomory.hpp"
 		#include "coin/CglProbing.hpp"
 		#include "coin/CglKnapsackCover.hpp"
 		#include "coin/CglOddHole.hpp"
 		#include "coin/CglClique.hpp"
 		#include "coin/CglFlowCover.hpp"
 		#include "coin/CglMixedIntegerRounding.hpp"
 		#include "coin/CbcHeuristic.hpp"
 		namespace lemon {
 		  CbcMip::CbcMip() {
 		    _prob = new CoinModel();
 		    _prob->setProblemName("LEMON");
 		    _osi_solver = 0;
 		    _cbc_model = 0;
 		    messageLevel(MESSAGE_NOTHING);
+		  }
 		  CbcMip::CbcMip(const CbcMip& other) {
 		    _prob = new CoinModel(*other._prob);
 		    _prob->setProblemName("LEMON");
 		    _osi_solver = 0;
 		    _cbc_model = 0;
 		    messageLevel(MESSAGE_NOTHING);
+		  }
 		  CbcMip::~CbcMip() {
 		    delete _prob;
 		    if (_osi_solver) delete _osi_solver;
 		    if (_cbc_model) delete _cbc_model;
+		  }
 		  const char* CbcMip::_solverName() const { return "CbcMip"; }
 		  int CbcMip::_addCol() {
 		    _prob->addColumn(0, 0, 0, -COIN_DBL_MAX, COIN_DBL_MAX, 0.0, 0, false);
 		    return _prob->numberColumns() - 1;
+		  }
 		  CbcMip* CbcMip::newSolver() const {
 		    CbcMip* newlp = new CbcMip;
 		    return newlp;
+		  }
 		  CbcMip* CbcMip::cloneSolver() const {
 		    CbcMip* copylp = new CbcMip(*this);
 		    return copylp;
+		  }
 		  int CbcMip::_addRow() {
 		    _prob->addRow(0, 0, 0, -COIN_DBL_MAX, COIN_DBL_MAX);
 		    return _prob->numberRows() - 1;
+		  }
 		  void CbcMip::_eraseCol(int i) {
 		    _prob->deleteColumn(i);
+		  }
 		  void CbcMip::_eraseRow(int i) {
 		    _prob->deleteRow(i);
+		  }
 		  void CbcMip::_eraseColId(int i) {
 		    cols.eraseIndex(i);
+		  }
 		  void CbcMip::_eraseRowId(int i) {
 		    rows.eraseIndex(i);
+		  }
 		  void CbcMip::_getColName(int c, std::string& name) const {
 		    name = _prob->getColumnName(c);
+		  }
 		  void CbcMip::_setColName(int c, const std::string& name) {
 		    _prob->setColumnName(c, name.c_str());
+		  }
 		  int CbcMip::_colByName(const std::string& name) const {
 		    return _prob->column(name.c_str());
+		  }
 		  void CbcMip::_getRowName(int r, std::string& name) const {
 		    name = _prob->getRowName(r);
+		  }
 		  void CbcMip::_setRowName(int r, const std::string& name) {
 		    _prob->setRowName(r, name.c_str());
+		  }
 		  int CbcMip::_rowByName(const std::string& name) const {
 		    return _prob->row(name.c_str());
+		  }
 		  void CbcMip::_setRowCoeffs(int i, ExprIterator b, ExprIterator e) {
 		    for (ExprIterator it = b; it != e; ++it) {
 		      _prob->setElement(i, it->first, it->second);
+		    }
+		  }
 		  void CbcMip::_getRowCoeffs(int ix, InsertIterator b) const {
 		    int length = _prob->numberRows();
 		    std::vector<int> indices(length);
 		    std::vector<Value> values(length);
 		    length = _prob->getRow(ix, &indices[0], &values[0]);
 		    for (int i = 0; i < length; ++i) {
 		      *b = std::make_pair(indices[i], values[i]);
 		      ++b;
+		    }
+		  }
 		  void CbcMip::_setColCoeffs(int ix, ExprIterator b, ExprIterator e) {
 		    for (ExprIterator it = b; it != e; ++it) {
 		      _prob->setElement(it->first, ix, it->second);
+		    }
+		  }
@@ -177,284 +180,284 @@
+		  }
 		  CbcMip::Value CbcMip::_getCoeff(int ix, int jx) const {
 		    return _prob->getElement(ix, jx);
+		  }
 		  void CbcMip::_setColLowerBound(int i, Value lo) {
 		    LEMON_ASSERT(lo != INF, "Invalid bound");
 		    _prob->setColumnLower(i, lo == - INF ? - COIN_DBL_MAX : lo);
+		  }
 		  CbcMip::Value CbcMip::_getColLowerBound(int i) const {
 		    double val = _prob->getColumnLower(i);
 		    return val == - COIN_DBL_MAX ? - INF : val;
+		  }
 		  void CbcMip::_setColUpperBound(int i, Value up) {
 		    LEMON_ASSERT(up != -INF, "Invalid bound");
 		    _prob->setColumnUpper(i, up == INF ? COIN_DBL_MAX : up);
+		  }
 		  CbcMip::Value CbcMip::_getColUpperBound(int i) const {
 		    double val = _prob->getColumnUpper(i);
 		    return val == COIN_DBL_MAX ? INF : val;
+		  }
 		  void CbcMip::_setRowLowerBound(int i, Value lo) {
 		    LEMON_ASSERT(lo != INF, "Invalid bound");
 		    _prob->setRowLower(i, lo == - INF ? - COIN_DBL_MAX : lo);
+		  }
 		  CbcMip::Value CbcMip::_getRowLowerBound(int i) const {
 		    double val = _prob->getRowLower(i);
 		    return val == - COIN_DBL_MAX ? - INF : val;
+		  }
 		  void CbcMip::_setRowUpperBound(int i, Value up) {
 		    LEMON_ASSERT(up != -INF, "Invalid bound");
 		    _prob->setRowUpper(i, up == INF ? COIN_DBL_MAX : up);
+		  }
 		  CbcMip::Value CbcMip::_getRowUpperBound(int i) const {
 		    double val = _prob->getRowUpper(i);
 		    return val == COIN_DBL_MAX ? INF : val;
+		  }
 		  void CbcMip::_setObjCoeffs(ExprIterator b, ExprIterator e) {
 		    int num = _prob->numberColumns();
 		    for (int i = 0; i < num; ++i) {
 		      _prob->setColumnObjective(i, 0.0);
+		    }
 		    for (ExprIterator it = b; it != e; ++it) {
 		      _prob->setColumnObjective(it->first, it->second);
+		    }
+		  }
 		  void CbcMip::_getObjCoeffs(InsertIterator b) const {
 		    int num = _prob->numberColumns();
 		    for (int i = 0; i < num; ++i) {
 		      Value coef = _prob->getColumnObjective(i);
 		      if (coef != 0.0) {
 		        *b = std::make_pair(i, coef);
 		        ++b;
+		      }
+		    }
+		  }
 		  void CbcMip::_setObjCoeff(int i, Value obj_coef) {
 		    _prob->setColumnObjective(i, obj_coef);
+		  }
 		  CbcMip::Value CbcMip::_getObjCoeff(int i) const {
 		    return _prob->getColumnObjective(i);
+		  }
 		  CbcMip::SolveExitStatus CbcMip::_solve() {
 		    if (_osi_solver) {
 		      delete _osi_solver;
+		    }
 		#ifdef COIN_HAS_CLP
 		    _osi_solver = new OsiClpSolverInterface();
 		#elif COIN_HAS_OSL
 		    _osi_solver = new OsiOslSolverInterface();
 		#else
 		#error Cannot instantiate Osi solver
 		#endif
 		    _osi_solver->loadFromCoinModel(*_prob);
 		    if (_cbc_model) {
 		      delete _cbc_model;
+		    }
 		    _cbc_model= new CbcModel(*_osi_solver);
 		    switch (_message_level) {
 		    case MESSAGE_NO_OUTPUT:
 		      _osi_solver->messageHandler()->setLogLevel(0);
 		      _cbc_model->setLogLevel(0);
 		      break;
 		    case MESSAGE_ERROR_MESSAGE:
 		      _osi_solver->messageHandler()->setLogLevel(1);
 		      _cbc_model->setLogLevel(1);
 		      break;
 		    case MESSAGE_NORMAL_OUTPUT:
 		      _osi_solver->messageHandler()->setLogLevel(2);
 		      _cbc_model->setLogLevel(2);
 		      break;
 		    case MESSAGE_FULL_OUTPUT:
 		      _osi_solver->messageHandler()->setLogLevel(3);
 		      _cbc_model->setLogLevel(3);
 		      break;
+		    }
 		    _osi_solver->messageHandler()->setLogLevel(_message_level);
 		    _cbc_model->setLogLevel(_message_level);
 		    _cbc_model->initialSolve();
 		    _cbc_model->solver()->setHintParam(OsiDoReducePrint, true, OsiHintTry);
 		    if (!_cbc_model->isInitialSolveAbandoned() &&
 		        _cbc_model->isInitialSolveProvenOptimal() &&
 		        !_cbc_model->isInitialSolveProvenPrimalInfeasible() &&
 		        !_cbc_model->isInitialSolveProvenDualInfeasible()) {
 		      CglProbing generator1;
 		      generator1.setUsingObjective(true);
 		      generator1.setMaxPass(3);
 		      generator1.setMaxProbe(100);
 		      generator1.setMaxLook(50);
 		      generator1.setRowCuts(3);
 		      _cbc_model->addCutGenerator(&generator1, -1, "Probing");
 		      CglGomory generator2;
 		      generator2.setLimit(300);
 		      _cbc_model->addCutGenerator(&generator2, -1, "Gomory");
 		      CglKnapsackCover generator3;
 		      _cbc_model->addCutGenerator(&generator3, -1, "Knapsack");
 		      CglOddHole generator4;
 		      generator4.setMinimumViolation(0.005);
 		      generator4.setMinimumViolationPer(0.00002);
 		      generator4.setMaximumEntries(200);
 		      _cbc_model->addCutGenerator(&generator4, -1, "OddHole");
 		      CglClique generator5;
 		      generator5.setStarCliqueReport(false);
 		      generator5.setRowCliqueReport(false);
 		      _cbc_model->addCutGenerator(&generator5, -1, "Clique");
 		      CglMixedIntegerRounding mixedGen;
 		      _cbc_model->addCutGenerator(&mixedGen, -1, "MixedIntegerRounding");
 		      CglFlowCover flowGen;
 		      _cbc_model->addCutGenerator(&flowGen, -1, "FlowCover");
 		#ifdef COIN_HAS_CLP
 		      OsiClpSolverInterface* osiclp =
 		        dynamic_cast<OsiClpSolverInterface*>(_cbc_model->solver());
 		      if (osiclp->getNumRows() < 300 && osiclp->getNumCols() < 500) {
 		        osiclp->setupForRepeatedUse(2, 0);
+		      }
 		#endif
 		      CbcRounding heuristic1(*_cbc_model);
 		      heuristic1.setWhen(3);
 		      _cbc_model->addHeuristic(&heuristic1);
 		      CbcHeuristicLocal heuristic2(*_cbc_model);
 		      heuristic2.setWhen(3);
 		      _cbc_model->addHeuristic(&heuristic2);
 		      CbcHeuristicGreedyCover heuristic3(*_cbc_model);
 		      heuristic3.setAlgorithm(11);
 		      heuristic3.setWhen(3);
 		      _cbc_model->addHeuristic(&heuristic3);
 		      CbcHeuristicFPump heuristic4(*_cbc_model);
 		      heuristic4.setWhen(3);
 		      _cbc_model->addHeuristic(&heuristic4);
 		      CbcHeuristicRINS heuristic5(*_cbc_model);
 		      heuristic5.setWhen(3);
 		      _cbc_model->addHeuristic(&heuristic5);
 		      if (_cbc_model->getNumCols() < 500) {
 		        _cbc_model->setMaximumCutPassesAtRoot(-100);
 		      } else if (_cbc_model->getNumCols() < 5000) {
 		        _cbc_model->setMaximumCutPassesAtRoot(100);
 		      } else {
 		        _cbc_model->setMaximumCutPassesAtRoot(20);
+		      }
 		      if (_cbc_model->getNumCols() < 5000) {
 		        _cbc_model->setNumberStrong(10);
+		      }
 		      _cbc_model->solver()->setIntParam(OsiMaxNumIterationHotStart, 100);
 		      _cbc_model->branchAndBound();
+		    }
 		    if (_cbc_model->isAbandoned()) {
 		      return UNSOLVED;
 		    } else {
 		      return SOLVED;
+		    }
+		  }
 		  CbcMip::Value CbcMip::_getSol(int i) const {
 		    return _cbc_model->getColSolution()[i];
+		  }
 		  CbcMip::Value CbcMip::_getSolValue() const {
 		    return _cbc_model->getObjValue();
+		  }
 		  CbcMip::ProblemType CbcMip::_getType() const {
 		    if (_cbc_model->isProvenOptimal()) {
 		      return OPTIMAL;
 		    } else if (_cbc_model->isContinuousUnbounded()) {
 		      return UNBOUNDED;
+		    }
 		    return FEASIBLE;
+		  }
 		  void CbcMip::_setSense(Sense sense) {
 		    switch (sense) {
 		    case MIN:
 		      _prob->setOptimizationDirection(1.0);
 		      break;
 		    case MAX:
 		      _prob->setOptimizationDirection(- 1.0);
 		      break;
+		    }
+		  }
 		  CbcMip::Sense CbcMip::_getSense() const {
 		    if (_prob->optimizationDirection() > 0.0) {
 		      return MIN;
 		    } else if (_prob->optimizationDirection() < 0.0) {
 		      return MAX;
 		    } else {
 		      LEMON_ASSERT(false, "Wrong sense");
 		      return CbcMip::Sense();
+		    }
+		  }
 		  void CbcMip::_setColType(int i, CbcMip::ColTypes col_type) {
 		    switch (col_type){
 		    case INTEGER:
 		      _prob->setInteger(i);
 		      break;
 		    case REAL:
 		      _prob->setContinuous(i);
 		      break;
 		    default:;
 		      LEMON_ASSERT(false, "Wrong sense");
+		    }
+		  }
 		  CbcMip::ColTypes CbcMip::_getColType(int i) const {
 		    return _prob->getColumnIsInteger(i) ? INTEGER : REAL;
+		  }
 		  void CbcMip::_clear() {
 		    delete _prob;
 		    if (_osi_solver) {
 		      delete _osi_solver;
 		      _osi_solver = 0;
+		    }
 		    if (_cbc_model) {
 		      delete _cbc_model;
 		      _cbc_model = 0;
+		    }
 		    _prob = new CoinModel();
 		    rows.clear();
 		    cols.clear();
+		  }
 		  void CbcMip::messageLevel(MessageLevel m) {
 		    _message_level = m;
 		  void CbcMip::_messageLevel(MessageLevel level) {
 		    switch (level) {
 		    case MESSAGE_NOTHING:
 		      _message_level = 0;
 		      break;
 		    case MESSAGE_ERROR:
 		      _message_level = 1;
 		      break;
 		    case MESSAGE_WARNING:
 		      _message_level = 1;
 		      break;
 		    case MESSAGE_NORMAL:
 		      _message_level = 2;
 		      break;
 		    case MESSAGE_VERBOSE:
 		      _message_level = 3;
 		      break;
+		    }
+		  }
 		} //END OF NAMESPACE LEMON

lemon/cbc.h

Show inline comments

@@ -22,129 +22,108 @@
 		///\file
 		///\brief Header of the LEMON-CBC mip solver interface.
 		///\ingroup lp_group
 		#include <lemon/lp_base.h>
 		class CoinModel;
 		class OsiSolverInterface;
 		class CbcModel;
 		namespace lemon {
 		  /// \brief Interface for the CBC MIP solver
 		  ///
 		  /// This class implements an interface for the CBC MIP solver.
 		  ///\ingroup lp_group
 		  class CbcMip : public MipSolver {
 		  protected:
 		    CoinModel *_prob;
 		    OsiSolverInterface *_osi_solver;
 		    CbcModel *_cbc_model;
 		  public:
 		    /// \e
 		    CbcMip();
 		    /// \e
 		    CbcMip(const CbcMip&);
 		    /// \e
 		    ~CbcMip();
 		    /// \e
 		    virtual CbcMip* newSolver() const;
 		    /// \e
 		    virtual CbcMip* cloneSolver() const;
 		  protected:
 		    virtual const char* _solverName() const;
 		    virtual int _addCol();
 		    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 sense);
 		    virtual Sense _getSense() const;
 		    virtual ColTypes _getColType(int col) const;
 		    virtual void _setColType(int col, ColTypes col_type);
 		    virtual SolveExitStatus _solve();
 		    virtual ProblemType _getType() const;
 		    virtual Value _getSol(int i) const;
 		    virtual Value _getSolValue() const;
 		    virtual void _clear();
-		  public:
+		    virtual void _messageLevel(MessageLevel level);
 		    void _applyMessageLevel();
 		    ///Enum for \c messageLevel() parameter
 		    enum MessageLevel {
 		      /// no output (default value)
 		      MESSAGE_NO_OUTPUT = 0,
 		      /// error messages only
 		      MESSAGE_ERROR_MESSAGE = 1,
 		      /// normal output
 		      MESSAGE_NORMAL_OUTPUT = 2,
 		      /// full output (includes informational messages)
 		      MESSAGE_FULL_OUTPUT = 3
-		    };
+		    int _message_level;
 		  private:
 		    MessageLevel _message_level;
 		  public:
 		    ///Set the verbosity of the messages
 		    ///Set the verbosity of the messages
 		    ///
 		    ///\param m is the level of the messages output by the solver routines.
 		    void messageLevel(MessageLevel m);
 		  };
+		}
 		#endif

lemon/clp.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
 		 * Copyright (C) 2003-2008
 		 * 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 <lemon/clp.h>
 		#include <coin/ClpSimplex.hpp>
 		namespace lemon {
 		  ClpLp::ClpLp() {
 		    _prob = new ClpSimplex();
 		    _init_temporals();
-		    messageLevel(MESSAGE_NO_OUTPUT);
+		    messageLevel(MESSAGE_NOTHING);
+		  }
 		  ClpLp::ClpLp(const ClpLp& other) {
 		    _prob = new ClpSimplex(*other._prob);
 		    rows = other.rows;
 		    cols = other.cols;
 		    _init_temporals();
-		    messageLevel(MESSAGE_NO_OUTPUT);
+		    messageLevel(MESSAGE_NOTHING);
+		  }
 		  ClpLp::~ClpLp() {
 		    delete _prob;
 		    _clear_temporals();
+		  }
 		  void ClpLp::_init_temporals() {
 		    _primal_ray = 0;
 		    _dual_ray = 0;
+		  }
 		  void ClpLp::_clear_temporals() {
 		    if (_primal_ray) {
 		      delete[] _primal_ray;
 		      _primal_ray = 0;
+		    }
 		    if (_dual_ray) {
 		      delete[] _dual_ray;
 		      _dual_ray = 0;
+		    }
+		  }
 		  ClpLp* ClpLp::newSolver() const {
 		    ClpLp* newlp = new ClpLp;
 		    return newlp;
+		  }
 		  ClpLp* ClpLp::cloneSolver() const {
 		    ClpLp* copylp = new ClpLp(*this);
 		    return copylp;
+		  }
 		  const char* ClpLp::_solverName() const { return "ClpLp"; }
 		  int ClpLp::_addCol() {
 		    _prob->addColumn(0, 0, 0, -COIN_DBL_MAX, COIN_DBL_MAX, 0.0);
 		    return _prob->numberColumns() - 1;
+		  }
 		  int ClpLp::_addRow() {
 		    _prob->addRow(0, 0, 0, -COIN_DBL_MAX, COIN_DBL_MAX);
 		    return _prob->numberRows() - 1;
+		  }
 		  void ClpLp::_eraseCol(int c) {
 		    _col_names_ref.erase(_prob->getColumnName(c));
 		    _prob->deleteColumns(1, &c);
+		  }
 		  void ClpLp::_eraseRow(int r) {
 		    _row_names_ref.erase(_prob->getRowName(r));
 		    _prob->deleteRows(1, &r);
+		  }
 		  void ClpLp::_eraseColId(int i) {
 		    cols.eraseIndex(i);
 		    cols.shiftIndices(i);
+		  }
 		  void ClpLp::_eraseRowId(int i) {
 		    rows.eraseIndex(i);
 		    rows.shiftIndices(i);
+		  }
 		  void ClpLp::_getColName(int c, std::string& name) const {
 		    name = _prob->getColumnName(c);
+		  }
 		  void ClpLp::_setColName(int c, const std::string& name) {
 		    _prob->setColumnName(c, const_cast<std::string&>(name));
 		    _col_names_ref[name] = c;
+		  }
 		  int ClpLp::_colByName(const std::string& name) const {
 		    std::map<std::string, int>::const_iterator it = _col_names_ref.find(name);
 		    return it != _col_names_ref.end() ? it->second : -1;
+		  }
 		  void ClpLp::_getRowName(int r, std::string& name) const {
 		    name = _prob->getRowName(r);
+		  }
 		  void ClpLp::_setRowName(int r, const std::string& name) {
 		    _prob->setRowName(r, const_cast<std::string&>(name));
 		    _row_names_ref[name] = r;
+		  }
 		  int ClpLp::_rowByName(const std::string& name) const {
 		    std::map<std::string, int>::const_iterator it = _row_names_ref.find(name);
 		    return it != _row_names_ref.end() ? it->second : -1;
+		  }
 		  void ClpLp::_setRowCoeffs(int ix, ExprIterator b, ExprIterator e) {
@@ -337,101 +337,117 @@
+		  }
 		  ClpLp::VarStatus ClpLp::_getColStatus(int i) const {
 		    switch (_prob->getColumnStatus(i)) {
 		    case ClpSimplex::basic:
 		      return BASIC;
 		    case ClpSimplex::isFree:
 		      return FREE;
 		    case ClpSimplex::atUpperBound:
 		      return UPPER;
 		    case ClpSimplex::atLowerBound:
 		      return LOWER;
 		    case ClpSimplex::isFixed:
 		      return FIXED;
 		    case ClpSimplex::superBasic:
 		      return FREE;
 		    default:
 		      LEMON_ASSERT(false, "Wrong column status");
 		      return VarStatus();
+		    }
+		  }
 		  ClpLp::VarStatus ClpLp::_getRowStatus(int i) const {
 		    switch (_prob->getColumnStatus(i)) {
 		    case ClpSimplex::basic:
 		      return BASIC;
 		    case ClpSimplex::isFree:
 		      return FREE;
 		    case ClpSimplex::atUpperBound:
 		      return UPPER;
 		    case ClpSimplex::atLowerBound:
 		      return LOWER;
 		    case ClpSimplex::isFixed:
 		      return FIXED;
 		    case ClpSimplex::superBasic:
 		      return FREE;
 		    default:
 		      LEMON_ASSERT(false, "Wrong row status");
 		      return VarStatus();
+		    }
+		  }
 		  ClpLp::ProblemType ClpLp::_getPrimalType() const {
 		    if (_prob->isProvenOptimal()) {
 		      return OPTIMAL;
 		    } else if (_prob->isProvenPrimalInfeasible()) {
 		      return INFEASIBLE;
 		    } else if (_prob->isProvenDualInfeasible()) {
 		      return UNBOUNDED;
 		    } else {
 		      return UNDEFINED;
+		    }
+		  }
 		  ClpLp::ProblemType ClpLp::_getDualType() const {
 		    if (_prob->isProvenOptimal()) {
 		      return OPTIMAL;
 		    } else if (_prob->isProvenDualInfeasible()) {
 		      return INFEASIBLE;
 		    } else if (_prob->isProvenPrimalInfeasible()) {
 		      return INFEASIBLE;
 		    } else {
 		      return UNDEFINED;
+		    }
+		  }
 		  void ClpLp::_setSense(ClpLp::Sense sense) {
 		    switch (sense) {
 		    case MIN:
 		      _prob->setOptimizationDirection(1);
 		      break;
 		    case MAX:
 		      _prob->setOptimizationDirection(-1);
 		      break;
+		    }
+		  }
 		  ClpLp::Sense ClpLp::_getSense() const {
 		    double dir = _prob->optimizationDirection();
 		    if (dir > 0.0) {
 		      return MIN;
 		    } else {
 		      return MAX;
+		    }
+		  }
 		  void ClpLp::_clear() {
 		    delete _prob;
 		    _prob = new ClpSimplex();
 		    rows.clear();
 		    cols.clear();
 		    _col_names_ref.clear();
 		    _clear_temporals();
+		  }
 		  void ClpLp::messageLevel(MessageLevel m) {
 		    _prob->setLogLevel(static_cast<int>(m));
 		  void ClpLp::_messageLevel(MessageLevel level) {
 		    switch (level) {
 		    case MESSAGE_NOTHING:
 		      _prob->setLogLevel(0);
 		      break;
 		    case MESSAGE_ERROR:
 		      _prob->setLogLevel(1);
 		      break;
 		    case MESSAGE_WARNING:
 		      _prob->setLogLevel(2);
 		      break;
 		    case MESSAGE_NORMAL:
 		      _prob->setLogLevel(3);
 		      break;
 		    case MESSAGE_VERBOSE:
 		      _prob->setLogLevel(4);
 		      break;
+		    }
+		  }
 		} //END OF NAMESPACE LEMON

lemon/clp.h

Show inline comments

@@ -43,139 +43,121 @@
 		  protected:
 		    ClpSimplex* _prob;
 		    std::map<std::string, int> _col_names_ref;
 		    std::map<std::string, int> _row_names_ref;
 		  public:
 		    /// \e
 		    ClpLp();
 		    /// \e
 		    ClpLp(const ClpLp&);
 		    /// \e
 		    ~ClpLp();
 		    /// \e
 		    virtual ClpLp* newSolver() const;
 		    /// \e
 		    virtual ClpLp* cloneSolver() const;
 		  protected:
 		    mutable double* _primal_ray;
 		    mutable double* _dual_ray;
 		    void _init_temporals();
 		    void _clear_temporals();
 		  protected:
 		    virtual const char* _solverName() const;
 		    virtual int _addCol();
 		    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, ExprIterator);
 		    virtual void _getObjCoeffs(InsertIterator) const;
 		    virtual void _setObjCoeff(int i, Value obj_coef);
 		    virtual Value _getObjCoeff(int i) const;
 		    virtual void _setSense(Sense sense);
 		    virtual Sense _getSense() const;
 		    virtual SolveExitStatus _solve();
 		    virtual Value _getPrimal(int i) const;
 		    virtual Value _getDual(int i) const;
 		    virtual Value _getPrimalValue() const;
 		    virtual Value _getPrimalRay(int i) const;
 		    virtual Value _getDualRay(int i) const;
 		    virtual VarStatus _getColStatus(int i) const;
 		    virtual VarStatus _getRowStatus(int i) const;
 		    virtual ProblemType _getPrimalType() const;
 		    virtual ProblemType _getDualType() const;
 		    virtual void _clear();
 		    virtual void _messageLevel(MessageLevel);
 		  public:
 		    ///Solves LP with primal simplex method.
 		    SolveExitStatus solvePrimal();
 		    ///Solves LP with dual simplex method.
 		    SolveExitStatus solveDual();
 		    ///Solves LP with barrier method.
 		    SolveExitStatus solveBarrier();
 		    ///Returns the constraint identifier understood by CLP.
 		    int clpRow(Row r) const { return rows(id(r)); }
 		    ///Returns the variable identifier understood by CLP.
 		    int clpCol(Col c) const { return cols(id(c)); }
 		    ///Enum for \c messageLevel() parameter
 		    enum MessageLevel {
 		      /// no output (default value)
 		      MESSAGE_NO_OUTPUT = 0,
 		      /// print final solution
 		      MESSAGE_FINAL_SOLUTION = 1,
 		      /// print factorization
 		      MESSAGE_FACTORIZATION = 2,
 		      /// normal output
 		      MESSAGE_NORMAL_OUTPUT = 3,
 		      /// verbose output
 		      MESSAGE_VERBOSE_OUTPUT = 4
 		    };
 		    ///Set the verbosity of the messages
 		    ///Set the verbosity of the messages
 		    ///
 		    ///\param m is the level of the messages output by the solver routines.
 		    void messageLevel(MessageLevel m);
 		  };
 		} //END OF NAMESPACE LEMON
 		#endif //LEMON_CLP_H

lemon/cplex.cc

Show inline comments

 		/* -*- 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 <iostream>
 		#include <vector>
 		#include <cstring>
 		#include <lemon/cplex.h>
 		extern "C" {
 		#include <ilcplex/cplex.h>
+		}
 		///\file
 		///\brief Implementation of the LEMON-CPLEX lp solver interface.
 		namespace lemon {
 		  CplexEnv::LicenseError::LicenseError(int status) {
 		    if (!CPXgeterrorstring(0, status, _message)) {
 		      std::strcpy(_message, "Cplex unknown error");
+		    }
+		  }
 		  CplexEnv::CplexEnv() {
 		    int status;
 		    _cnt = new int;
 		    _env = CPXopenCPLEX(&status);
 		    if (_env == 0) {
 		      delete _cnt;
 		      _cnt = 0;
 		      throw LicenseError(status);
+		    }
+		  }
 		  CplexEnv::CplexEnv(const CplexEnv& other) {
 		    _env = other._env;
 		    _cnt = other._cnt;
 		    ++(*_cnt);
+		  }
 		  CplexEnv& CplexEnv::operator=(const CplexEnv& other) {
 		    _env = other._env;
 		    _cnt = other._cnt;
 		    ++(*_cnt);
 		    return *this;
+		  }
 		  CplexEnv::~CplexEnv() {
 		    --(*_cnt);
 		    if (*_cnt == 0) {
 		      delete _cnt;
 		      CPXcloseCPLEX(&_env);
+		    }
+		  }
 		  CplexBase::CplexBase() : LpBase() {
 		    int status;
 		    _prob = CPXcreateprob(cplexEnv(), &status, "Cplex problem");
 		    messageLevel(MESSAGE_NOTHING);
+		  }
 		  CplexBase::CplexBase(const CplexEnv& env)
 		    : LpBase(), _env(env) {
 		    int status;
 		    _prob = CPXcreateprob(cplexEnv(), &status, "Cplex problem");
 		    messageLevel(MESSAGE_NOTHING);
+		  }
 		  CplexBase::CplexBase(const CplexBase& cplex)
 		    : LpBase() {
 		    int status;
 		    _prob = CPXcloneprob(cplexEnv(), cplex._prob, &status);
 		    rows = cplex.rows;
 		    cols = cplex.cols;
 		    messageLevel(MESSAGE_NOTHING);
+		  }
 		  CplexBase::~CplexBase() {
 		    CPXfreeprob(cplexEnv(),&_prob);
+		  }
 		  int CplexBase::_addCol() {
 		    int i = CPXgetnumcols(cplexEnv(), _prob);
 		    double lb = -INF, ub = INF;
 		    CPXnewcols(cplexEnv(), _prob, 1, 0, &lb, &ub, 0, 0);
 		    return i;
+		  }
 		  int CplexBase::_addRow() {
 		    int i = CPXgetnumrows(cplexEnv(), _prob);
 		    const double ub = INF;
 		    const char s = 'L';
 		    CPXnewrows(cplexEnv(), _prob, 1, &ub, &s, 0, 0);
 		    return i;
+		  }
 		  void CplexBase::_eraseCol(int i) {
 		    CPXdelcols(cplexEnv(), _prob, i, i);
+		  }
 		  void CplexBase::_eraseRow(int i) {
 		    CPXdelrows(cplexEnv(), _prob, i, i);
+		  }
 		  void CplexBase::_eraseColId(int i) {
 		    cols.eraseIndex(i);
 		    cols.shiftIndices(i);
+		  }
 		  void CplexBase::_eraseRowId(int i) {
 		    rows.eraseIndex(i);
 		    rows.shiftIndices(i);
+		  }
 		  void CplexBase::_getColName(int col, std::string &name) const {
 		    int size;
 		    CPXgetcolname(cplexEnv(), _prob, 0, 0, 0, &size, col, col);
 		    if (size == 0) {
 		      name.clear();
 		      return;
+		    }
 		    size *= -1;
 		    std::vector<char> buf(size);
 		    char *cname;
 		    int tmp;
 		    CPXgetcolname(cplexEnv(), _prob, &cname, &buf.front(), size,
 		                  &tmp, col, col);
 		    name = cname;
+		  }
 		  void CplexBase::_setColName(int col, const std::string &name) {
 		    char *cname;
 		    cname = const_cast<char*>(name.c_str());
 		    CPXchgcolname(cplexEnv(), _prob, 1, &col, &cname);
+		  }
 		  int CplexBase::_colByName(const std::string& name) const {
 		    int index;
 		    if (CPXgetcolindex(cplexEnv(), _prob,
 		                       const_cast<char*>(name.c_str()), &index) == 0) {
 		      return index;
+		    }
 		    return -1;
+		  }
 		  void CplexBase::_getRowName(int row, std::string &name) const {
 		    int size;
 		    CPXgetrowname(cplexEnv(), _prob, 0, 0, 0, &size, row, row);
 		    if (size == 0) {
 		      name.clear();
 		      return;
+		    }
 		    size *= -1;
 		    std::vector<char> buf(size);
 		    char *cname;
 		    int tmp;
 		    CPXgetrowname(cplexEnv(), _prob, &cname, &buf.front(), size,
 		                  &tmp, row, row);
 		    name = cname;
+		  }
 		  void CplexBase::_setRowName(int row, const std::string &name) {
 		    char *cname;
 		    cname = const_cast<char*>(name.c_str());
 		    CPXchgrowname(cplexEnv(), _prob, 1, &row, &cname);
+		  }
 		  int CplexBase::_rowByName(const std::string& name) const {
@@ -345,581 +348,604 @@
 		    } else if (lb == ub){
 		      const char s = 'E';
 		      CPXchgsense(cplexEnv(), _prob, 1, &i, &s);
 		      CPXchgrhs(cplexEnv(), _prob, 1, &i, &lb);
 		    } else {
 		      const char s = 'R';
 		      CPXchgsense(cplexEnv(), _prob, 1, &i, &s);
 		      CPXchgrhs(cplexEnv(), _prob, 1, &i, &lb);
 		      double len = ub - lb;
 		      CPXchgrngval(cplexEnv(), _prob, 1, &i, &len);
+		    }
+		  }
 		  void CplexBase::_setRowLowerBound(int i, Value lb)
+		  {
 		    LEMON_ASSERT(lb != INF, "Invalid bound");
 		    _set_row_bounds(i, lb, CplexBase::_getRowUpperBound(i));
+		  }
 		  void CplexBase::_setRowUpperBound(int i, Value ub)
+		  {
 		    LEMON_ASSERT(ub != -INF, "Invalid bound");
 		    _set_row_bounds(i, CplexBase::_getRowLowerBound(i), ub);
+		  }
 		  void CplexBase::_setObjCoeffs(ExprIterator b, ExprIterator e)
+		  {
 		    std::vector<int> indices;
 		    std::vector<Value> values;
 		    for(ExprIterator it=b; it!=e; ++it) {
 		      indices.push_back(it->first);
 		      values.push_back(it->second);
+		    }
 		    CPXchgobj(cplexEnv(), _prob, values.size(),
 		              &indices.front(), &values.front());
+		  }
 		  void CplexBase::_getObjCoeffs(InsertIterator b) const
+		  {
 		    int num = CPXgetnumcols(cplexEnv(), _prob);
 		    std::vector<Value> x(num);
 		    CPXgetobj(cplexEnv(), _prob, &x.front(), 0, num - 1);
 		    for (int i = 0; i < num; ++i) {
 		      if (x[i] != 0.0) {
 		        *b = std::make_pair(i, x[i]);
 		        ++b;
+		      }
+		    }
+		  }
 		  void CplexBase::_setObjCoeff(int i, Value obj_coef)
+		  {
 		    CPXchgobj(cplexEnv(), _prob, 1, &i, &obj_coef);
+		  }
 		  CplexBase::Value CplexBase::_getObjCoeff(int i) const
+		  {
 		    Value x;
 		    CPXgetobj(cplexEnv(), _prob, &x, i, i);
 		    return x;
+		  }
 		  void CplexBase::_setSense(CplexBase::Sense sense) {
 		    switch (sense) {
 		    case MIN:
 		      CPXchgobjsen(cplexEnv(), _prob, CPX_MIN);
 		      break;
 		    case MAX:
 		      CPXchgobjsen(cplexEnv(), _prob, CPX_MAX);
 		      break;
+		    }
+		  }
 		  CplexBase::Sense CplexBase::_getSense() const {
 		    switch (CPXgetobjsen(cplexEnv(), _prob)) {
 		    case CPX_MIN:
 		      return MIN;
 		    case CPX_MAX:
 		      return MAX;
 		    default:
 		      LEMON_ASSERT(false, "Invalid sense");
 		      return CplexBase::Sense();
+		    }
+		  }
 		  void CplexBase::_clear() {
 		    CPXfreeprob(cplexEnv(),&_prob);
 		    int status;
 		    _prob = CPXcreateprob(cplexEnv(), &status, "Cplex problem");
 		    rows.clear();
 		    cols.clear();
+		  }
 		  void CplexBase::_messageLevel(MessageLevel level) {
 		    switch (level) {
 		    case MESSAGE_NOTHING:
 		      _message_enabled = false;
 		      break;
 		    case MESSAGE_ERROR:
 		    case MESSAGE_WARNING:
 		    case MESSAGE_NORMAL:
 		    case MESSAGE_VERBOSE:
 		      _message_enabled = true;
 		      break;
+		    }
+		  }
 		  void CplexBase::_applyMessageLevel() {
 		    CPXsetintparam(cplexEnv(), CPX_PARAM_SCRIND,
 		                   _message_enabled ? CPX_ON : CPX_OFF);
+		  }
 		  // CplexLp members
 		  CplexLp::CplexLp()
 		    : LpBase(), LpSolver(), CplexBase() {}
 		  CplexLp::CplexLp(const CplexEnv& env)
 		    : LpBase(), LpSolver(), CplexBase(env) {}
 		  CplexLp::CplexLp(const CplexLp& other)
 		    : LpBase(), LpSolver(), CplexBase(other) {}
 		  CplexLp::~CplexLp() {}
 		  CplexLp* CplexLp::newSolver() const { return new CplexLp; }
 		  CplexLp* CplexLp::cloneSolver() const {return new CplexLp(*this); }
 		  const char* CplexLp::_solverName() const { return "CplexLp"; }
 		  void CplexLp::_clear_temporals() {
 		    _col_status.clear();
 		    _row_status.clear();
 		    _primal_ray.clear();
 		    _dual_ray.clear();
+		  }
 		  // The routine returns zero unless an error occurred during the
 		  // optimization. Examples of errors include exhausting available
 		  // memory (CPXERR_NO_MEMORY) or encountering invalid data in the
 		  // CPLEX problem object (CPXERR_NO_PROBLEM). Exceeding a
 		  // user-specified CPLEX limit, or proving the model infeasible or
 		  // unbounded, are not considered errors. Note that a zero return
 		  // value does not necessarily mean that a solution exists. Use query
 		  // routines CPXsolninfo, CPXgetstat, and CPXsolution to obtain
 		  // further information about the status of the optimization.
 		  CplexLp::SolveExitStatus CplexLp::convertStatus(int status) {
 		#if CPX_VERSION >= 800
 		    if (status == 0) {
 		      switch (CPXgetstat(cplexEnv(), _prob)) {
 		      case CPX_STAT_OPTIMAL:
 		      case CPX_STAT_INFEASIBLE:
 		      case CPX_STAT_UNBOUNDED:
 		        return SOLVED;
 		      default:
 		        return UNSOLVED;
+		      }
 		    } else {
 		      return UNSOLVED;
+		    }
 		#else
 		    if (status == 0) {
 		      //We want to exclude some cases
 		      switch (CPXgetstat(cplexEnv(), _prob)) {
 		      case CPX_OBJ_LIM:
 		      case CPX_IT_LIM_FEAS:
 		      case CPX_IT_LIM_INFEAS:
 		      case CPX_TIME_LIM_FEAS:
 		      case CPX_TIME_LIM_INFEAS:
 		        return UNSOLVED;
 		      default:
 		        return SOLVED;
+		      }
 		    } else {
 		      return UNSOLVED;
+		    }
 		#endif
+		  }
 		  CplexLp::SolveExitStatus CplexLp::_solve() {
 		    _clear_temporals();
 		    _applyMessageLevel();
 		    return convertStatus(CPXlpopt(cplexEnv(), _prob));
+		  }
 		  CplexLp::SolveExitStatus CplexLp::solvePrimal() {
 		    _clear_temporals();
 		    _applyMessageLevel();
 		    return convertStatus(CPXprimopt(cplexEnv(), _prob));
+		  }
 		  CplexLp::SolveExitStatus CplexLp::solveDual() {
 		    _clear_temporals();
 		    _applyMessageLevel();
 		    return convertStatus(CPXdualopt(cplexEnv(), _prob));
+		  }
 		  CplexLp::SolveExitStatus CplexLp::solveBarrier() {
 		    _clear_temporals();
 		    _applyMessageLevel();
 		    return convertStatus(CPXbaropt(cplexEnv(), _prob));
+		  }
 		  CplexLp::Value CplexLp::_getPrimal(int i) const {
 		    Value x;
 		    CPXgetx(cplexEnv(), _prob, &x, i, i);
 		    return x;
+		  }
 		  CplexLp::Value CplexLp::_getDual(int i) const {
 		    Value y;
 		    CPXgetpi(cplexEnv(), _prob, &y, i, i);
 		    return y;
+		  }
 		  CplexLp::Value CplexLp::_getPrimalValue() const {
 		    Value objval;
 		    CPXgetobjval(cplexEnv(), _prob, &objval);
 		    return objval;
+		  }
 		  CplexLp::VarStatus CplexLp::_getColStatus(int i) const {
 		    if (_col_status.empty()) {
 		      _col_status.resize(CPXgetnumcols(cplexEnv(), _prob));
 		      CPXgetbase(cplexEnv(), _prob, &_col_status.front(), 0);
+		    }
 		    switch (_col_status[i]) {
 		    case CPX_BASIC:
 		      return BASIC;
 		    case CPX_FREE_SUPER:
 		      return FREE;
 		    case CPX_AT_LOWER:
 		      return LOWER;
 		    case CPX_AT_UPPER:
 		      return UPPER;
 		    default:
 		      LEMON_ASSERT(false, "Wrong column status");
 		      return CplexLp::VarStatus();
+		    }
+		  }
 		  CplexLp::VarStatus CplexLp::_getRowStatus(int i) const {
 		    if (_row_status.empty()) {
 		      _row_status.resize(CPXgetnumrows(cplexEnv(), _prob));
 		      CPXgetbase(cplexEnv(), _prob, 0, &_row_status.front());
+		    }
 		    switch (_row_status[i]) {
 		    case CPX_BASIC:
 		      return BASIC;
 		    case CPX_AT_LOWER:
+		      {
 		        char s;
 		        CPXgetsense(cplexEnv(), _prob, &s, i, i);
 		        return s != 'L' ? LOWER : UPPER;
+		      }
 		    case CPX_AT_UPPER:
 		      return UPPER;
 		    default:
 		      LEMON_ASSERT(false, "Wrong row status");
 		      return CplexLp::VarStatus();
+		    }
+		  }
 		  CplexLp::Value CplexLp::_getPrimalRay(int i) const {
 		    if (_primal_ray.empty()) {
 		      _primal_ray.resize(CPXgetnumcols(cplexEnv(), _prob));
 		      CPXgetray(cplexEnv(), _prob, &_primal_ray.front());
+		    }
 		    return _primal_ray[i];
+		  }
 		  CplexLp::Value CplexLp::_getDualRay(int i) const {
 		    if (_dual_ray.empty()) {
+		    }
 		    return _dual_ray[i];
+		  }
-		  //7.5-os cplex statusai (Vigyazat: a 9.0-asei masok!)
+		  // Cplex 7.0 status values
 		  // This table lists the statuses, returned by the CPXgetstat()
 		  // routine, for solutions to LP problems or mixed integer problems. If
 		  // no solution exists, the return value is zero.
 		  // For Simplex, Barrier
 		  // 1          CPX_OPTIMAL
 		  //          Optimal solution found
 		  // 2          CPX_INFEASIBLE
 		  //          Problem infeasible
 		  // 3    CPX_UNBOUNDED
 		  //          Problem unbounded
 		  // 4          CPX_OBJ_LIM
 		  //          Objective limit exceeded in Phase II
 		  // 5          CPX_IT_LIM_FEAS
 		  //          Iteration limit exceeded in Phase II
 		  // 6          CPX_IT_LIM_INFEAS
 		  //          Iteration limit exceeded in Phase I
 		  // 7          CPX_TIME_LIM_FEAS
 		  //          Time limit exceeded in Phase II
 		  // 8          CPX_TIME_LIM_INFEAS
 		  //          Time limit exceeded in Phase I
 		  // 9          CPX_NUM_BEST_FEAS
 		  //          Problem non-optimal, singularities in Phase II
 		  // 10         CPX_NUM_BEST_INFEAS
 		  //          Problem non-optimal, singularities in Phase I
 		  // 11         CPX_OPTIMAL_INFEAS
 		  //          Optimal solution found, unscaled infeasibilities
 		  // 12         CPX_ABORT_FEAS
 		  //          Aborted in Phase II
 		  // 13         CPX_ABORT_INFEAS
 		  //          Aborted in Phase I
 		  // 14          CPX_ABORT_DUAL_INFEAS
 		  //          Aborted in barrier, dual infeasible
 		  // 15          CPX_ABORT_PRIM_INFEAS
 		  //          Aborted in barrier, primal infeasible
 		  // 16          CPX_ABORT_PRIM_DUAL_INFEAS
 		  //          Aborted in barrier, primal and dual infeasible
 		  // 17          CPX_ABORT_PRIM_DUAL_FEAS
 		  //          Aborted in barrier, primal and dual feasible
 		  // 18          CPX_ABORT_CROSSOVER
 		  //          Aborted in crossover
 		  // 19          CPX_INForUNBD
 		  //          Infeasible or unbounded
 		  // 20   CPX_PIVOT
 		  //       User pivot used
 		  //
-		  //     Ezeket hova tegyem:
+		  // Pending return values
 		  // ??case CPX_ABORT_DUAL_INFEAS
 		  // ??case CPX_ABORT_CROSSOVER
 		  // ??case CPX_INForUNBD
 		  // ??case CPX_PIVOT
 		  //Some more interesting stuff:
 		  // CPX_PARAM_PROBMETHOD  1062  int  LPMETHOD
 		  // 0 Automatic
 		  // 1 Primal Simplex
 		  // 2 Dual Simplex
 		  // 3 Network Simplex
 		  // 4 Standard Barrier
 		  // Default: 0
 		  // Description: Method for linear optimization.
 		  // Determines which algorithm is used when CPXlpopt() (or "optimize"
 		  // in the Interactive Optimizer) is called. Currently the behavior of
 		  // the "Automatic" setting is that CPLEX simply invokes the dual
 		  // simplex method, but this capability may be expanded in the future
 		  // so that CPLEX chooses the method based on problem characteristics
 		#if CPX_VERSION < 900
 		  void statusSwitch(CPXENVptr cplexEnv(),int& stat){
 		    int lpmethod;
 		    CPXgetintparam (cplexEnv(),CPX_PARAM_PROBMETHOD,&lpmethod);
 		    if (lpmethod==2){
 		      if (stat==CPX_UNBOUNDED){
 		        stat=CPX_INFEASIBLE;
+		      }
 		      else{
 		        if (stat==CPX_INFEASIBLE)
 		          stat=CPX_UNBOUNDED;
+		      }
+		    }
+		  }
 		#else
 		  void statusSwitch(CPXENVptr,int&){}
 		#endif
 		  CplexLp::ProblemType CplexLp::_getPrimalType() const {
 		    // Unboundedness not treated well: the following is from cplex 9.0 doc
 		    // About Unboundedness
 		    // The treatment of models that are unbounded involves a few
 		    // subtleties. Specifically, a declaration of unboundedness means that
 		    // ILOG CPLEX has determined that the model has an unbounded
 		    // ray. Given any feasible solution x with objective z, a multiple of
 		    // the unbounded ray can be added to x to give a feasible solution
 		    // with objective z-1 (or z+1 for maximization models). Thus, if a
 		    // feasible solution exists, then the optimal objective is
 		    // unbounded. Note that ILOG CPLEX has not necessarily concluded that
 		    // a feasible solution exists. Users can call the routine CPXsolninfo
 		    // to determine whether ILOG CPLEX has also concluded that the model
 		    // has a feasible solution.
 		    int stat = CPXgetstat(cplexEnv(), _prob);
 		#if CPX_VERSION >= 800
 		    switch (stat)
+		      {
 		      case CPX_STAT_OPTIMAL:
 		        return OPTIMAL;
 		      case CPX_STAT_UNBOUNDED:
 		        return UNBOUNDED;
 		      case CPX_STAT_INFEASIBLE:
 		        return INFEASIBLE;
 		      default:
 		        return UNDEFINED;
+		      }
 		#else
 		    statusSwitch(cplexEnv(),stat);
 		    //CPXgetstat(cplexEnv(), _prob);
 		    //printf("A primal status: %d, CPX_OPTIMAL=%d \n",stat,CPX_OPTIMAL);
 		    switch (stat) {
 		    case 0:
 		      return UNDEFINED; //Undefined
 		    case CPX_OPTIMAL://Optimal
 		      return OPTIMAL;
 		    case CPX_UNBOUNDED://Unbounded
 		      return INFEASIBLE;//In case of dual simplex
 		      //return UNBOUNDED;
 		    case CPX_INFEASIBLE://Infeasible
 		      //    case CPX_IT_LIM_INFEAS:
 		      //     case CPX_TIME_LIM_INFEAS:
 		      //     case CPX_NUM_BEST_INFEAS:
 		      //     case CPX_OPTIMAL_INFEAS:
 		      //     case CPX_ABORT_INFEAS:
 		      //     case CPX_ABORT_PRIM_INFEAS:
 		      //     case CPX_ABORT_PRIM_DUAL_INFEAS:
 		      return UNBOUNDED;//In case of dual simplex
 		      //return INFEASIBLE;
 		      //     case CPX_OBJ_LIM:
 		      //     case CPX_IT_LIM_FEAS:
 		      //     case CPX_TIME_LIM_FEAS:
 		      //     case CPX_NUM_BEST_FEAS:
 		      //     case CPX_ABORT_FEAS:
 		      //     case CPX_ABORT_PRIM_DUAL_FEAS:
 		      //       return FEASIBLE;
 		    default:
 		      return UNDEFINED; //Everything else comes here
 		      //FIXME error
+		    }
 		#endif
+		  }
-		  //9.0-as cplex verzio statusai
+		  // Cplex 9.0 status values
 		  // CPX_STAT_ABORT_DUAL_OBJ_LIM
 		  // CPX_STAT_ABORT_IT_LIM
 		  // CPX_STAT_ABORT_OBJ_LIM
 		  // CPX_STAT_ABORT_PRIM_OBJ_LIM
 		  // CPX_STAT_ABORT_TIME_LIM
 		  // CPX_STAT_ABORT_USER
 		  // CPX_STAT_FEASIBLE_RELAXED
 		  // CPX_STAT_INFEASIBLE
 		  // CPX_STAT_INForUNBD
 		  // CPX_STAT_NUM_BEST
 		  // CPX_STAT_OPTIMAL
 		  // CPX_STAT_OPTIMAL_FACE_UNBOUNDED
 		  // CPX_STAT_OPTIMAL_INFEAS
 		  // CPX_STAT_OPTIMAL_RELAXED
 		  // CPX_STAT_UNBOUNDED
 		  CplexLp::ProblemType CplexLp::_getDualType() const {
 		    int stat = CPXgetstat(cplexEnv(), _prob);
 		#if CPX_VERSION >= 800
 		    switch (stat) {
 		    case CPX_STAT_OPTIMAL:
 		      return OPTIMAL;
 		    case CPX_STAT_UNBOUNDED:
 		      return INFEASIBLE;
 		    default:
 		      return UNDEFINED;
+		    }
 		#else
 		    statusSwitch(cplexEnv(),stat);
 		    switch (stat) {
 		    case 0:
 		      return UNDEFINED; //Undefined
 		    case CPX_OPTIMAL://Optimal
 		      return OPTIMAL;
 		    case CPX_UNBOUNDED:
 		      return INFEASIBLE;
 		    default:
 		      return UNDEFINED; //Everything else comes here
 		      //FIXME error
+		    }
 		#endif
+		  }
 		  // CplexMip members
 		  CplexMip::CplexMip()
 		    : LpBase(), MipSolver(), CplexBase() {
 		#if CPX_VERSION < 800
 		    CPXchgprobtype(cplexEnv(),  _prob, CPXPROB_MIP);
 		#else
 		    CPXchgprobtype(cplexEnv(),  _prob, CPXPROB_MILP);
 		#endif
+		  }
 		  CplexMip::CplexMip(const CplexEnv& env)
 		    : LpBase(), MipSolver(), CplexBase(env) {
 		#if CPX_VERSION < 800
 		    CPXchgprobtype(cplexEnv(),  _prob, CPXPROB_MIP);
 		#else
 		    CPXchgprobtype(cplexEnv(),  _prob, CPXPROB_MILP);
 		#endif
+		  }
 		  CplexMip::CplexMip(const CplexMip& other)
 		    : LpBase(), MipSolver(), CplexBase(other) {}
 		  CplexMip::~CplexMip() {}
 		  CplexMip* CplexMip::newSolver() const { return new CplexMip; }
 		  CplexMip* CplexMip::cloneSolver() const {return new CplexMip(*this); }
 		  const char* CplexMip::_solverName() const { return "CplexMip"; }
 		  void CplexMip::_setColType(int i, CplexMip::ColTypes col_type) {
 		    // Note If a variable is to be changed to binary, a call to CPXchgbds
 		    // should also be made to change the bounds to 0 and 1.
 		    switch (col_type){
 		    case INTEGER: {
 		      const char t = 'I';
 		      CPXchgctype (cplexEnv(), _prob, 1, &i, &t);
 		    } break;
 		    case REAL: {
 		      const char t = 'C';
 		      CPXchgctype (cplexEnv(), _prob, 1, &i, &t);
 		    } break;
 		    default:
 		      break;
+		    }
+		  }
 		  CplexMip::ColTypes CplexMip::_getColType(int i) const {
 		    char t;
 		    CPXgetctype (cplexEnv(), _prob, &t, i, i);
 		    switch (t) {
 		    case 'I':
 		      return INTEGER;
 		    case 'C':
 		      return REAL;
 		    default:
 		      LEMON_ASSERT(false, "Invalid column type");
 		      return ColTypes();
+		    }
+		  }
 		  CplexMip::SolveExitStatus CplexMip::_solve() {
 		    int status;
 		    _applyMessageLevel();
 		    status = CPXmipopt (cplexEnv(), _prob);
 		    if (status==0)
 		      return SOLVED;
 		    else
 		      return UNSOLVED;
+		  }
 		  CplexMip::ProblemType CplexMip::_getType() const {
 		    int stat = CPXgetstat(cplexEnv(), _prob);
 		    //Fortunately, MIP statuses did not change for cplex 8.0
 		    switch (stat) {
 		    case CPXMIP_OPTIMAL:
 		      // Optimal integer solution has been found.
 		    case CPXMIP_OPTIMAL_TOL:
 		      // Optimal soluton with the tolerance defined by epgap or epagap has
 		      // been found.
 		      return OPTIMAL;
 		      //This also exists in later issues
 		      //    case CPXMIP_UNBOUNDED:
 		      //return UNBOUNDED;
 		      case CPXMIP_INFEASIBLE:
 		        return INFEASIBLE;
 		    default:
 		      return UNDEFINED;
+		    }
 		    //Unboundedness not treated well: the following is from cplex 9.0 doc
 		    // About Unboundedness
 		    // The treatment of models that are unbounded involves a few
 		    // subtleties. Specifically, a declaration of unboundedness means that
 		    // ILOG CPLEX has determined that the model has an unbounded
 		    // ray. Given any feasible solution x with objective z, a multiple of
 		    // the unbounded ray can be added to x to give a feasible solution
 		    // with objective z-1 (or z+1 for maximization models). Thus, if a
 		    // feasible solution exists, then the optimal objective is
 		    // unbounded. Note that ILOG CPLEX has not necessarily concluded that
 		    // a feasible solution exists. Users can call the routine CPXsolninfo
 		    // to determine whether ILOG CPLEX has also concluded that the model
 		    // has a feasible solution.
+		  }
 		  CplexMip::Value CplexMip::_getSol(int i) const {
 		    Value x;
 		    CPXgetmipx(cplexEnv(), _prob, &x, i, i);
 		    return x;
+		  }
 		  CplexMip::Value CplexMip::_getSolValue() const {
 		    Value objval;
 		    CPXgetmipobjval(cplexEnv(), _prob, &objval);
 		    return objval;
+		  }
 		} //namespace lemon

lemon/cplex.h

Show inline comments

@@ -51,200 +51,215 @@
 		      LicenseError(int status);
 		      char _message[510];
 		    public:
 		      /// The short error message
 		      virtual const char* what() const throw() {
 		        return _message;
+		      }
 		    };
 		    /// Constructor
 		    CplexEnv();
 		    /// Shallow copy constructor
 		    CplexEnv(const CplexEnv&);
 		    /// Shallow assignement
 		    CplexEnv& operator=(const CplexEnv&);
 		    /// Destructor
 		    virtual ~CplexEnv();
 		  protected:
 		    cpxenv* cplexEnv() { return _env; }
 		    const cpxenv* cplexEnv() const { return _env; }
 		  };
 		  /// \brief Base interface for the CPLEX LP and MIP solver
 		  ///
 		  /// This class implements the common interface of the CPLEX LP and
 		  /// MIP solvers.
 		  /// \ingroup lp_group
 		  class CplexBase : virtual public LpBase {
 		  protected:
 		    CplexEnv _env;
 		    cpxlp* _prob;
 		    CplexBase();
 		    CplexBase(const CplexEnv&);
 		    CplexBase(const CplexBase &);
 		    virtual ~CplexBase();
 		    virtual int _addCol();
 		    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;
 		  private:
 		    void _set_row_bounds(int i, Value lb, Value ub);
 		  protected:
 		    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 sense);
 		    virtual Sense _getSense() const;
 		    virtual void _clear();
 		    virtual void _messageLevel(MessageLevel level);
 		    void _applyMessageLevel();
 		    bool _message_enabled;
 		  public:
 		    /// Returns the used \c CplexEnv instance
 		    const CplexEnv& env() const { return _env; }
 		    /// \brief Returns the const cpxenv pointer
 		    ///
 		    /// \note The cpxenv might be destructed with the solver.
 		    const cpxenv* cplexEnv() const { return _env.cplexEnv(); }
 		    /// \brief Returns the const cpxenv pointer
 		    ///
 		    /// \note The cpxenv might be destructed with the solver.
 		    cpxenv* cplexEnv() { return _env.cplexEnv(); }
 		    /// Returns the cplex problem object
 		    cpxlp* cplexLp() { return _prob; }
 		    /// Returns the cplex problem object
 		    const cpxlp* cplexLp() const { return _prob; }
 		  };
 		  /// \brief Interface for the CPLEX LP solver
 		  ///
 		  /// This class implements an interface for the CPLEX LP solver.
 		  ///\ingroup lp_group
 		  class CplexLp : public LpSolver, public CplexBase {
 		  public:
 		    /// \e
 		    CplexLp();
 		    /// \e
 		    CplexLp(const CplexEnv&);
 		    /// \e
 		    CplexLp(const CplexLp&);
 		    /// \e
 		    virtual ~CplexLp();
 		    /// \e
 		    virtual CplexLp* cloneSolver() const;
 		    /// \e
 		    virtual CplexLp* newSolver() const;
 		  private:
 		    // these values cannot retrieved element by element
 		    mutable std::vector<int> _col_status;
 		    mutable std::vector<int> _row_status;
 		    mutable std::vector<Value> _primal_ray;
 		    mutable std::vector<Value> _dual_ray;
 		    void _clear_temporals();
 		    SolveExitStatus convertStatus(int status);
 		  protected:
 		    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;
 		    virtual Value _getPrimalRay(int i) const;
 		    virtual Value _getDualRay(int i) const;
 		    virtual ProblemType _getPrimalType() const;
 		    virtual ProblemType _getDualType() const;
 		  public:
 		    /// Solve with primal simplex method
 		    SolveExitStatus solvePrimal();
 		    /// Solve with dual simplex method
 		    SolveExitStatus solveDual();
 		    /// Solve with barrier method
 		    SolveExitStatus solveBarrier();
 		  };
 		  /// \brief Interface for the CPLEX MIP solver
 		  ///
 		  /// This class implements an interface for the CPLEX MIP solver.
 		  ///\ingroup lp_group
 		  class CplexMip : public MipSolver, public CplexBase {
 		  public:
 		    /// \e
 		    CplexMip();
 		    /// \e
 		    CplexMip(const CplexEnv&);
 		    /// \e
 		    CplexMip(const CplexMip&);
 		    /// \e
 		    virtual ~CplexMip();
 		    /// \e
 		    virtual CplexMip* cloneSolver() const;
 		    /// \e
 		    virtual CplexMip* newSolver() const;
 		  protected:
 		    virtual const char* _solverName() const;
 		    virtual ColTypes _getColType(int col) const;
 		    virtual void _setColType(int col, ColTypes col_type);

lemon/glpk.cc

Show inline comments

 		/* -*- 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.
+		 *
 		 */
 		///\file
 		///\brief Implementation of the LEMON GLPK LP and MIP solver interface.
 		#include <lemon/glpk.h>
 		#include <glpk.h>
 		#include <lemon/assert.h>
 		namespace lemon {
 		  // GlpkBase members
 		  GlpkBase::GlpkBase() : LpBase() {
 		    lp = glp_create_prob();
 		    glp_create_index(lp);
 		    messageLevel(MESSAGE_NOTHING);
+		  }
 		  GlpkBase::GlpkBase(const GlpkBase &other) : LpBase() {
 		    lp = glp_create_prob();
 		    glp_copy_prob(lp, other.lp, GLP_ON);
 		    glp_create_index(lp);
 		    rows = other.rows;
 		    cols = other.cols;
 		    messageLevel(MESSAGE_NOTHING);
+		  }
 		  GlpkBase::~GlpkBase() {
 		    glp_delete_prob(lp);
+		  }
 		  int GlpkBase::_addCol() {
 		    int i = glp_add_cols(lp, 1);
 		    glp_set_col_bnds(lp, i, GLP_FR, 0.0, 0.0);
 		    return i;
+		  }
 		  int GlpkBase::_addRow() {
 		    int i = glp_add_rows(lp, 1);
 		    glp_set_row_bnds(lp, i, GLP_FR, 0.0, 0.0);
 		    return i;
+		  }
 		  void GlpkBase::_eraseCol(int i) {
 		    int ca[2];
 		    ca[1] = i;
 		    glp_del_cols(lp, 1, ca);
+		  }
 		  void GlpkBase::_eraseRow(int i) {
 		    int ra[2];
 		    ra[1] = i;
 		    glp_del_rows(lp, 1, ra);
+		  }
 		  void GlpkBase::_eraseColId(int i) {
 		    cols.eraseIndex(i);
 		    cols.shiftIndices(i);
+		  }
 		  void GlpkBase::_eraseRowId(int i) {
 		    rows.eraseIndex(i);
 		    rows.shiftIndices(i);
+		  }
 		  void GlpkBase::_getColName(int c, std::string& name) const {
 		    const char *str = glp_get_col_name(lp, c);
 		    if (str) name = str;
 		    else name.clear();
+		  }
 		  void GlpkBase::_setColName(int c, const std::string & name) {
 		    glp_set_col_name(lp, c, const_cast<char*>(name.c_str()));
+		  }
 		  int GlpkBase::_colByName(const std::string& name) const {
 		    int k = glp_find_col(lp, const_cast<char*>(name.c_str()));
 		    return k > 0 ? k : -1;
+		  }
 		  void GlpkBase::_getRowName(int r, std::string& name) const {
 		    const char *str = glp_get_row_name(lp, r);
 		    if (str) name = str;
 		    else name.clear();
+		  }
 		  void GlpkBase::_setRowName(int r, const std::string & name) {
 		    glp_set_row_name(lp, r, const_cast<char*>(name.c_str()));
+		  }
 		  int GlpkBase::_rowByName(const std::string& name) const {
 		    int k = glp_find_row(lp, const_cast<char*>(name.c_str()));
 		    return k > 0 ? k : -1;
+		  }
 		  void GlpkBase::_setRowCoeffs(int i, ExprIterator b, ExprIterator e) {
 		    std::vector<int> indexes;
 		    std::vector<Value> values;
 		    indexes.push_back(0);
 		    values.push_back(0);
 		    for(ExprIterator it = b; it != e; ++it) {
 		      indexes.push_back(it->first);
 		      values.push_back(it->second);
+		    }
 		    glp_set_mat_row(lp, i, values.size() - 1,
 		                    &indexes.front(), &values.front());
+		  }
 		  void GlpkBase::_getRowCoeffs(int ix, InsertIterator b) const {
 		    int length = glp_get_mat_row(lp, ix, 0, 0);
 		    std::vector<int> indexes(length + 1);
 		    std::vector<Value> values(length + 1);
 		    glp_get_mat_row(lp, ix, &indexes.front(), &values.front());
@@ -433,284 +435,276 @@
 		    } else {
 		      switch (b) {
 		      case GLP_FR:
 		        glp_set_row_bnds(lp, i, GLP_UP, lo, up);
 		        break;
 		      case GLP_UP:
 		        glp_set_row_bnds(lp, i, GLP_UP, lo, up);
 		        break;
 		      case GLP_LO:
 		      case GLP_DB:
 		      case GLP_FX:
 		        if (lo == up)
 		          glp_set_row_bnds(lp, i, GLP_FX, lo, up);
 		        else
 		          glp_set_row_bnds(lp, i, GLP_DB, lo, up);
 		        break;
 		      default:
 		        break;
+		      }
+		    }
+		  }
 		  GlpkBase::Value GlpkBase::_getRowUpperBound(int i) const {
 		    int b = glp_get_row_type(lp, i);
 		    switch (b) {
 		    case GLP_UP:
 		    case GLP_DB:
 		    case GLP_FX:
 		      return glp_get_row_ub(lp, i);
 		    default:
 		      return INF;
+		    }
+		  }
 		  void GlpkBase::_setObjCoeffs(ExprIterator b, ExprIterator e) {
 		    for (int i = 1; i <= glp_get_num_cols(lp); ++i) {
 		      glp_set_obj_coef(lp, i, 0.0);
+		    }
 		    for (ExprIterator it = b; it != e; ++it) {
 		      glp_set_obj_coef(lp, it->first, it->second);
+		    }
+		  }
 		  void GlpkBase::_getObjCoeffs(InsertIterator b) const {
 		    for (int i = 1; i <= glp_get_num_cols(lp); ++i) {
 		      Value val = glp_get_obj_coef(lp, i);
 		      if (val != 0.0) {
 		        *b = std::make_pair(i, val);
 		        ++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();
+		  }
 		  void GlpkBase::_messageLevel(MessageLevel level) {
 		    switch (level) {
 		    case MESSAGE_NOTHING:
 		      _message_level = GLP_MSG_OFF;
 		      break;
 		    case MESSAGE_ERROR:
 		      _message_level = GLP_MSG_ERR;
 		      break;
 		    case MESSAGE_WARNING:
 		      _message_level = GLP_MSG_ERR;
 		      break;
 		    case MESSAGE_NORMAL:
 		      _message_level = GLP_MSG_ON;
 		      break;
 		    case MESSAGE_VERBOSE:
 		      _message_level = GLP_MSG_ALL;
 		      break;
+		    }
+		  }
 		  GlpkBase::FreeEnvHelper GlpkBase::freeEnvHelper;
 		  // GlpkLp members
 		  GlpkLp::GlpkLp()
 		    : LpBase(), LpSolver(), GlpkBase() {
 		    messageLevel(MESSAGE_NO_OUTPUT);
 		    presolver(false);
+		  }
 		  GlpkLp::GlpkLp(const GlpkLp& other)
 		    : LpBase(other), LpSolver(other), GlpkBase(other) {
 		    messageLevel(MESSAGE_NO_OUTPUT);
 		    presolver(false);
+		  }
 		  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;
+		    }
 		    smcp.msg_lev = _message_level;
 		    smcp.presolve = _presolve;
 		    // If the basis is not valid we get an error return value.
 		    // In this case we can try to create a new basis.
 		    switch (glp_simplex(lp, &smcp)) {
 		    case 0:
 		      break;
 		    case GLP_EBADB:
 		    case GLP_ESING:
 		    case GLP_ECOND:
 		      glp_term_out(false);
 		      glp_adv_basis(lp, 0);
 		      glp_term_out(true);
 		      if (glp_simplex(lp, &smcp) != 0) return UNSOLVED;
 		      break;
 		    default:
 		      return UNSOLVED;
+		    }
 		    return SOLVED;
+		  }
 		  GlpkLp::SolveExitStatus GlpkLp::solveDual() {
 		    _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;
+		    }
 		    smcp.msg_lev = _message_level;
 		    smcp.meth = GLP_DUAL;
 		    smcp.presolve = _presolve;
 		    // If the basis is not valid we get an error return value.
 		    // In this case we can try to create a new basis.
 		    switch (glp_simplex(lp, &smcp)) {
 		    case 0:
 		      break;
 		    case GLP_EBADB:
 		    case GLP_ESING:
 		    case GLP_ECOND:
 		      glp_term_out(false);
 		      glp_adv_basis(lp, 0);
 		      glp_term_out(true);
 		      if (glp_simplex(lp, &smcp) != 0) return UNSOLVED;
 		      break;
 		    default:
 		      return UNSOLVED;
+		    }
 		    return SOLVED;
+		  }
 		  GlpkLp::Value GlpkLp::_getPrimal(int i) const {
 		    return glp_get_col_prim(lp, i);
+		  }
 		  GlpkLp::Value GlpkLp::_getDual(int i) const {
 		    return glp_get_row_dual(lp, i);
+		  }
 		  GlpkLp::Value GlpkLp::_getPrimalValue() const {
 		    return glp_get_obj_val(lp);
+		  }
 		  GlpkLp::VarStatus GlpkLp::_getColStatus(int i) const {
 		    switch (glp_get_col_stat(lp, i)) {
 		    case GLP_BS:
 		      return BASIC;
 		    case GLP_UP:
 		      return UPPER;
 		    case GLP_LO:
 		      return LOWER;
 		    case GLP_NF:
 		      return FREE;
 		    case GLP_NS:
 		      return FIXED;
 		    default:
 		      LEMON_ASSERT(false, "Wrong column status");
 		      return GlpkLp::VarStatus();
+		    }
+		  }
 		  GlpkLp::VarStatus GlpkLp::_getRowStatus(int i) const {
 		    switch (glp_get_row_stat(lp, i)) {
 		    case GLP_BS:
 		      return BASIC;
 		    case GLP_UP:
 		      return UPPER;
 		    case GLP_LO:
 		      return LOWER;
 		    case GLP_NF:
 		      return FREE;
 		    case GLP_NS:
 		      return FIXED;
 		    default:
 		      LEMON_ASSERT(false, "Wrong row status");
 		      return GlpkLp::VarStatus();
+		    }
+		  }
 		  GlpkLp::Value GlpkLp::_getPrimalRay(int i) const {
 		    if (_primal_ray.empty()) {
 		      int row_num = glp_get_num_rows(lp);
 		      int col_num = glp_get_num_cols(lp);
 		      _primal_ray.resize(col_num + 1, 0.0);
 		      int index = glp_get_unbnd_ray(lp);
 		      if (index != 0) {
 		        // The primal ray is found in primal simplex second phase
 		        LEMON_ASSERT((index <= row_num ? glp_get_row_stat(lp, index) :
 		                      glp_get_col_stat(lp, index - row_num)) != GLP_BS,
 		                     "Wrong primal ray");
 		        bool negate = glp_get_obj_dir(lp) == GLP_MAX;
 		        if (index > row_num) {
 		          _primal_ray[index - row_num] = 1.0;
 		          if (glp_get_col_dual(lp, index - row_num) > 0) {
 		            negate = !negate;
+		          }
 		        } else {
 		          if (glp_get_row_dual(lp, index) > 0) {
 		            negate = !negate;
+		          }
+		        }
@@ -765,245 +759,209 @@
+		          }
 		        } else {
 		          idx = glp_get_row_bind(lp, index);
 		          if (glp_get_row_prim(lp, index) > glp_get_row_ub(lp, index)) {
 		            negate = true;
+		          }
+		        }
 		        _dual_ray[idx] = negate ?  - 1.0 : 1.0;
 		        glp_btran(lp, &_dual_ray.front());
 		      } else {
 		        double eps = 1e-7;
 		        // The dual ray is found in primal simplex first phase
 		        // We assume that the glpk minimizes the slack to get feasible solution
 		        for (int i = 1; i <= row_num; ++i) {
 		          int index = glp_get_bhead(lp, i);
 		          if (index <= row_num) {
 		            double res = glp_get_row_prim(lp, index);
 		            if (res > glp_get_row_ub(lp, index) + eps) {
 		              _dual_ray[i] = -1;
 		            } else if (res < glp_get_row_lb(lp, index) - eps) {
 		              _dual_ray[i] = 1;
 		            } else {
 		              _dual_ray[i] = 0;
+		            }
 		            _dual_ray[i] *= glp_get_rii(lp, index);
 		          } else {
 		            double res = glp_get_col_prim(lp, index - row_num);
 		            if (res > glp_get_col_ub(lp, index - row_num) + eps) {
 		              _dual_ray[i] = -1;
 		            } else if (res < glp_get_col_lb(lp, index - row_num) - eps) {
 		              _dual_ray[i] = 1;
 		            } else {
 		              _dual_ray[i] = 0;
+		            }
 		            _dual_ray[i] /= glp_get_sjj(lp, index - row_num);
+		          }
+		        }
 		        glp_btran(lp, &_dual_ray.front());
 		        for (int i = 1; i <= row_num; ++i) {
 		          _dual_ray[i] /= glp_get_rii(lp, i);
+		        }
+		      }
+		    }
 		    return _dual_ray[i];
+		  }
 		  GlpkLp::ProblemType GlpkLp::_getPrimalType() const {
 		    if (glp_get_status(lp) == GLP_OPT)
 		      return OPTIMAL;
 		    switch (glp_get_prim_stat(lp)) {
 		    case GLP_UNDEF:
 		      return UNDEFINED;
 		    case GLP_FEAS:
 		    case GLP_INFEAS:
 		      if (glp_get_dual_stat(lp) == GLP_NOFEAS) {
 		        return UNBOUNDED;
 		      } else {
 		        return UNDEFINED;
+		      }
 		    case GLP_NOFEAS:
 		      return INFEASIBLE;
 		    default:
 		      LEMON_ASSERT(false, "Wrong primal type");
 		      return  GlpkLp::ProblemType();
+		    }
+		  }
 		  GlpkLp::ProblemType GlpkLp::_getDualType() const {
 		    if (glp_get_status(lp) == GLP_OPT)
 		      return OPTIMAL;
 		    switch (glp_get_dual_stat(lp)) {
 		    case GLP_UNDEF:
 		      return UNDEFINED;
 		    case GLP_FEAS:
 		    case GLP_INFEAS:
 		      if (glp_get_prim_stat(lp) == GLP_NOFEAS) {
 		        return UNBOUNDED;
 		      } else {
 		        return UNDEFINED;
+		      }
 		    case GLP_NOFEAS:
 		      return INFEASIBLE;
 		    default:
 		      LEMON_ASSERT(false, "Wrong primal type");
 		      return  GlpkLp::ProblemType();
+		    }
+		  }
 		  void GlpkLp::presolver(bool presolve) {
 		    _presolve = presolve;
+		  }
 		  void GlpkLp::messageLevel(MessageLevel m) {
 		    _message_level = m;
+		  }
 		  // GlpkMip members
 		  GlpkMip::GlpkMip()
 		    : LpBase(), MipSolver(), GlpkBase() {
 		    messageLevel(MESSAGE_NO_OUTPUT);
+		  }
 		  GlpkMip::GlpkMip(const GlpkMip& other)
 		    : LpBase(), MipSolver(), GlpkBase(other) {
 		    messageLevel(MESSAGE_NO_OUTPUT);
+		  }
 		  void GlpkMip::_setColType(int i, GlpkMip::ColTypes col_type) {
 		    switch (col_type) {
 		    case INTEGER:
 		      glp_set_col_kind(lp, i, GLP_IV);
 		      break;
 		    case REAL:
 		      glp_set_col_kind(lp, i, GLP_CV);
 		      break;
+		    }
+		  }
 		  GlpkMip::ColTypes GlpkMip::_getColType(int i) const {
 		    switch (glp_get_col_kind(lp, i)) {
 		    case GLP_IV:
 		    case GLP_BV:
 		      return INTEGER;
 		    default:
 		      return REAL;
+		    }
+		  }
 		  GlpkMip::SolveExitStatus GlpkMip::_solve() {
 		    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;
+		    }
 		    smcp.msg_lev = _message_level;
 		    smcp.meth = GLP_DUAL;
 		    // If the basis is not valid we get an error return value.
 		    // In this case we can try to create a new basis.
 		    switch (glp_simplex(lp, &smcp)) {
 		    case 0:
 		      break;
 		    case GLP_EBADB:
 		    case GLP_ESING:
 		    case GLP_ECOND:
 		      glp_term_out(false);
 		      glp_adv_basis(lp, 0);
 		      glp_term_out(true);
 		      if (glp_simplex(lp, &smcp) != 0) return UNSOLVED;
 		      break;
 		    default:
 		      return UNSOLVED;
+		    }
 		    if (glp_get_status(lp) != GLP_OPT) return SOLVED;
 		    glp_iocp iocp;
 		    glp_init_iocp(&iocp);
 		    switch (_message_level) {
 		    case MESSAGE_NO_OUTPUT:
 		      iocp.msg_lev = GLP_MSG_OFF;
 		      break;
 		    case MESSAGE_ERROR_MESSAGE:
 		      iocp.msg_lev = GLP_MSG_ERR;
 		      break;
 		    case MESSAGE_NORMAL_OUTPUT:
 		      iocp.msg_lev = GLP_MSG_ON;
 		      break;
 		    case MESSAGE_FULL_OUTPUT:
 		      iocp.msg_lev = GLP_MSG_ALL;
 		      break;
+		    }
 		    iocp.msg_lev = _message_level;
 		    if (glp_intopt(lp, &iocp) != 0) return UNSOLVED;
 		    return SOLVED;
+		  }
 		  GlpkMip::ProblemType GlpkMip::_getType() const {
 		    switch (glp_get_status(lp)) {
 		    case GLP_OPT:
 		      switch (glp_mip_status(lp)) {
 		      case GLP_UNDEF:
 		        return UNDEFINED;
 		      case GLP_NOFEAS:
 		        return INFEASIBLE;
 		      case GLP_FEAS:
 		        return FEASIBLE;
 		      case GLP_OPT:
 		        return OPTIMAL;
 		      default:
 		        LEMON_ASSERT(false, "Wrong problem type.");
 		        return GlpkMip::ProblemType();
+		      }
 		    case GLP_NOFEAS:
 		      return INFEASIBLE;
 		    case GLP_INFEAS:
 		    case GLP_FEAS:
 		      if (glp_get_dual_stat(lp) == GLP_NOFEAS) {
 		        return UNBOUNDED;
 		      } else {
 		        return UNDEFINED;
+		      }
 		    default:
 		      LEMON_ASSERT(false, "Wrong problem type.");
 		      return GlpkMip::ProblemType();
+		    }
+		  }
 		  GlpkMip::Value GlpkMip::_getSol(int i) const {
 		    return glp_mip_col_val(lp, i);
+		  }
 		  GlpkMip::Value GlpkMip::_getSolValue() const {
 		    return glp_mip_obj_val(lp);
+		  }
 		  GlpkMip* GlpkMip::newSolver() const { return new GlpkMip; }
 		  GlpkMip* GlpkMip::cloneSolver() const {return new GlpkMip(*this); }
 		  const char* GlpkMip::_solverName() const { return "GlpkMip"; }
 		  void GlpkMip::messageLevel(MessageLevel m) {
 		    _message_level = m;
+		  }
 		} //END OF NAMESPACE LEMON

lemon/glpk.h

Show inline comments

@@ -7,271 +7,229 @@
 		 * (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.
+		 *
 		 */
 		#ifndef LEMON_GLPK_H
 		#define LEMON_GLPK_H
 		///\file
 		///\brief Header of the LEMON-GLPK lp solver interface.
 		///\ingroup lp_group
 		#include <lemon/lp_base.h>
 		// forward declaration
 		#ifndef _GLP_PROB
 		#define _GLP_PROB
 		typedef struct { double _prob; } glp_prob;
 		/* LP/MIP problem object */
 		#endif
 		namespace lemon {
 		  /// \brief Base interface for the GLPK LP and MIP solver
 		  ///
 		  /// This class implements the common interface of the GLPK LP and MIP solver.
 		  /// \ingroup lp_group
 		  class GlpkBase : virtual public LpBase {
 		  protected:
 		    typedef glp_prob LPX;
 		    glp_prob* lp;
 		    GlpkBase();
 		    GlpkBase(const GlpkBase&);
 		    virtual ~GlpkBase();
 		  protected:
 		    virtual int _addCol();
 		    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();
 		    virtual void _messageLevel(MessageLevel level);
 		  private:
 		    static void freeEnv();
 		    struct FreeEnvHelper {
 		      ~FreeEnvHelper() {
 		        freeEnv();
+		      }
 		    };
 		    static FreeEnvHelper freeEnvHelper;
 		  protected:
 		    int _message_level;
 		  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 LpSolver, public GlpkBase {
 		  public:
 		    ///\e
 		    GlpkLp();
 		    ///\e
 		    GlpkLp(const GlpkLp&);
 		    ///\e
 		    virtual GlpkLp* cloneSolver() const;
 		    ///\e
 		    virtual GlpkLp* newSolver() const;
 		  private:
 		    mutable std::vector<double> _primal_ray;
 		    mutable std::vector<double> _dual_ray;
 		    void _clear_temporals();
 		  protected:
 		    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;
 		    virtual Value _getPrimalRay(int i) const;
 		    virtual Value _getDualRay(int i) const;
 		    virtual ProblemType _getPrimalType() const;
 		    virtual ProblemType _getDualType() const;
 		  public:
 		    ///Solve with primal simplex
 		    SolveExitStatus solvePrimal();
 		    ///Solve with dual simplex
 		    SolveExitStatus solveDual();
 		  private:
 		    bool _presolve;
 		  public:
 		    ///Turns on or off the presolver
 		    ///Turns on (\c b is \c true) or off (\c b is \c false) the presolver
 		    ///
 		    ///The presolver is off by default.
 		    void presolver(bool presolve);
 		    ///Enum for \c messageLevel() parameter
 		    enum MessageLevel {
 		      /// no output (default value)
 		      MESSAGE_NO_OUTPUT = 0,
 		      /// error messages only
 		      MESSAGE_ERROR_MESSAGE = 1,
 		      /// normal output
 		      MESSAGE_NORMAL_OUTPUT = 2,
 		      /// full output (includes informational messages)
 		      MESSAGE_FULL_OUTPUT = 3
 		    };
 		  private:
 		    MessageLevel _message_level;
 		  public:
 		    ///Set the verbosity of the messages
 		    ///Set the verbosity of the messages
 		    ///
 		    ///\param m is the level of the messages output by the solver routines.
 		    void messageLevel(MessageLevel m);
 		  };
 		  /// \brief Interface for the GLPK MIP solver
 		  ///
 		  /// This class implements an interface for the GLPK MIP solver.
 		  ///\ingroup lp_group
 		  class GlpkMip : public MipSolver, public GlpkBase {
 		  public:
 		    ///\e
 		    GlpkMip();
 		    ///\e
 		    GlpkMip(const GlpkMip&);
 		    virtual GlpkMip* cloneSolver() const;
 		    virtual GlpkMip* newSolver() const;
 		  protected:
 		    virtual const char* _solverName() const;
 		    virtual ColTypes _getColType(int col) const;
 		    virtual void _setColType(int col, ColTypes col_type);
 		    virtual SolveExitStatus _solve();
 		    virtual ProblemType _getType() const;
 		    virtual Value _getSol(int i) const;
 		    virtual Value _getSolValue() const;
 		    ///Enum for \c messageLevel() parameter
 		    enum MessageLevel {
 		      /// no output (default value)
 		      MESSAGE_NO_OUTPUT = 0,
 		      /// error messages only
 		      MESSAGE_ERROR_MESSAGE = 1,
 		      /// normal output
 		      MESSAGE_NORMAL_OUTPUT = 2,
 		      /// full output (includes informational messages)
 		      MESSAGE_FULL_OUTPUT = 3
 		    };
 		  private:
 		    MessageLevel _message_level;
 		  public:
 		    ///Set the verbosity of the messages
 		    ///Set the verbosity of the messages
 		    ///
 		    ///\param m is the level of the messages output by the solver routines.
 		    void messageLevel(MessageLevel m);
 		  };
 		} //END OF NAMESPACE LEMON
 		#endif //LEMON_GLPK_H

lemon/lp_base.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
 		 * Copyright (C) 2003-2008
 		 * 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.
+		 *
 		 */
 		#ifndef LEMON_LP_BASE_H
 		#define LEMON_LP_BASE_H
 		#include<iostream>
 		#include<vector>
 		#include<map>
 		#include<limits>
 		#include<lemon/math.h>
 		#include<lemon/error.h>
 		#include<lemon/assert.h>
 		#include<lemon/core.h>
 		#include<lemon/bits/solver_bits.h>
 		///\file
 		///\brief The interface of the LP solver interface.
 		///\ingroup lp_group
 		namespace lemon {
 		  ///Common base class for LP and MIP solvers
 		  ///Usually this class is not used directly, please use one of the concrete
 		  ///implementations of the solver interface.
 		  ///\ingroup lp_group
 		  class LpBase {
 		  protected:
 		    _solver_bits::VarIndex rows;
 		    _solver_bits::VarIndex cols;
 		  public:
 		    ///Possible outcomes of an LP solving procedure
 		    enum SolveExitStatus {
 		      ///This means that the problem has been successfully solved: either
 		      ///an optimal solution has been found or infeasibility/unboundedness
 		      ///has been proved.
 		      SOLVED = 0,
 		      ///Any other case (including the case when some user specified
 		      ///limit has been exceeded)
 		      UNSOLVED = 1
 		    };
 		    ///Direction of the optimization
 		    enum Sense {
 		      /// Minimization
 		      MIN,
 		      /// Maximization
 		      MAX
 		    };
 		    ///Enum for \c messageLevel() parameter
 		    enum MessageLevel {
 		      /// no output (default value)
 		      MESSAGE_NOTHING,
 		      /// error messages only
 		      MESSAGE_ERROR,
 		      /// warnings
 		      MESSAGE_WARNING,
 		      /// normal output
 		      MESSAGE_NORMAL,
 		      /// verbose output
 		      MESSAGE_VERBOSE
 		    };
 		    ///The floating point type used by the solver
 		    typedef double Value;
 		    ///The infinity constant
 		    static const Value INF;
 		    ///The not a number constant
 		    static const Value NaN;
 		    friend class Col;
 		    friend class ColIt;
 		    friend class Row;
 		    friend class RowIt;
 		    ///Refer to a column of the LP.
 		    ///This type is used to refer to a column of the LP.
 		    ///
 		    ///Its value remains valid and correct even after the addition or erase of
 		    ///other columns.
 		    ///
 		    ///\note This class is similar to other Item types in LEMON, like
 		    ///Node and Arc types in digraph.
 		    class Col {
 		      friend class LpBase;
 		    protected:
 		      int _id;
 		      explicit Col(int id) : _id(id) {}
 		    public:
 		      typedef Value ExprValue;
 		      typedef True LpCol;
 		      /// Default constructor
 		      /// \warning The default constructor sets the Col to an
 		      /// undefined value.
 		      Col() {}
 		      /// Invalid constructor \& conversion.
 		      /// This constructor initializes the Col to be invalid.
 		      /// \sa Invalid for more details.
 		      Col(const Invalid&) : _id(-1) {}
 		      /// Equality operator
 		      /// Two \ref Col "Col"s are equal if and only if they point to
 		      /// the same LP column or both are invalid.
 		      bool operator==(Col c) const  {return _id == c._id;}
 		      /// Inequality operator
 		      /// \sa operator==(Col c)
 		      ///
 		      bool operator!=(Col c) const  {return _id != c._id;}
 		      /// Artificial ordering operator.
 		      /// To allow the use of this object in std::map or similar
 		      /// associative container we require this.
 		      ///
 		      /// \note This operator only have to define some strict ordering of
 		      /// the items; this order has nothing to do with the iteration
 		      /// ordering of the items.
 		      bool operator<(Col c) const  {return _id < c._id;}
 		    };
 		    ///Iterator for iterate over the columns of an LP problem
 		    /// Its usage is quite simple, for example you can count the number
 		    /// of columns in an LP \c lp:
 		    ///\code
 		    /// int count=0;
 		    /// for (LpBase::ColIt c(lp); c!=INVALID; ++c) ++count;
 		    ///\endcode
 		    class ColIt : public Col {
 		      const LpBase *_solver;
 		    public:
 		      /// Default constructor
 		      /// \warning The default constructor sets the iterator
 		      /// to an undefined value.
 		      ColIt() {}
 		      /// Sets the iterator to the first Col
 		      /// Sets the iterator to the first Col.
 		      ///
 		      ColIt(const LpBase &solver) : _solver(&solver)
+		      {
 		        _solver->cols.firstItem(_id);
+		      }
 		      /// Invalid constructor \& conversion
 		      /// Initialize the iterator to be invalid.
 		      /// \sa Invalid for more details.
 		      ColIt(const Invalid&) : Col(INVALID) {}
 		      /// Next column
 		      /// Assign the iterator to the next column.
 		      ///
 		      ColIt &operator++()
+		      {
 		        _solver->cols.nextItem(_id);
@@ -880,192 +895,194 @@
 		        pointer(value_type& _value) : value(_value) {}
 		        value_type* operator->() { return &value; }
 		      private:
 		        value_type value;
 		      };
 		      ExprIterator(const std::map<int, Value>::const_iterator& host_it,
 		                   const _solver_bits::VarIndex& index)
 		        : _host_it(host_it), _index(index) {}
 		      reference operator*() {
 		        return std::make_pair(_index(_host_it->first), _host_it->second);
+		      }
 		      pointer operator->() {
 		        return pointer(operator*());
+		      }
 		      ExprIterator& operator++() { ++_host_it; return *this; }
 		      ExprIterator operator++(int) {
 		        ExprIterator tmp(*this); ++_host_it; return tmp;
+		      }
 		      ExprIterator& operator--() { --_host_it; return *this; }
 		      ExprIterator operator--(int) {
 		        ExprIterator tmp(*this); --_host_it; return tmp;
+		      }
 		      bool operator==(const ExprIterator& it) const {
 		        return _host_it == it._host_it;
+		      }
 		      bool operator!=(const ExprIterator& it) const {
 		        return _host_it != it._host_it;
+		      }
 		    };
 		  protected:
 		    //Abstract virtual functions
 		    virtual int _addColId(int col) { return cols.addIndex(col); }
 		    virtual int _addRowId(int row) { return rows.addIndex(row); }
 		    virtual void _eraseColId(int col) { cols.eraseIndex(col); }
 		    virtual void _eraseRowId(int row) { rows.eraseIndex(row); }
 		    virtual int _addCol() = 0;
 		    virtual int _addRow() = 0;
 		    virtual void _eraseCol(int col) = 0;
 		    virtual void _eraseRow(int row) = 0;
 		    virtual void _getColName(int col, std::string& name) const = 0;
 		    virtual void _setColName(int col, const std::string& name) = 0;
 		    virtual int _colByName(const std::string& name) const = 0;
 		    virtual void _getRowName(int row, std::string& name) const = 0;
 		    virtual void _setRowName(int row, const std::string& name) = 0;
 		    virtual int _rowByName(const std::string& name) const = 0;
 		    virtual void _setRowCoeffs(int i, ExprIterator b, ExprIterator e) = 0;
 		    virtual void _getRowCoeffs(int i, InsertIterator b) const = 0;
 		    virtual void _setColCoeffs(int i, ExprIterator b, ExprIterator e) = 0;
 		    virtual void _getColCoeffs(int i, InsertIterator b) const = 0;
 		    virtual void _setCoeff(int row, int col, Value value) = 0;
 		    virtual Value _getCoeff(int row, int col) const = 0;
 		    virtual void _setColLowerBound(int i, Value value) = 0;
 		    virtual Value _getColLowerBound(int i) const = 0;
 		    virtual void _setColUpperBound(int i, Value value) = 0;
 		    virtual Value _getColUpperBound(int i) const = 0;
 		    virtual void _setRowLowerBound(int i, Value value) = 0;
 		    virtual Value _getRowLowerBound(int i) const = 0;
 		    virtual void _setRowUpperBound(int i, Value value) = 0;
 		    virtual Value _getRowUpperBound(int i) const = 0;
 		    virtual void _setObjCoeffs(ExprIterator b, ExprIterator e) = 0;
 		    virtual void _getObjCoeffs(InsertIterator b) const = 0;
 		    virtual void _setObjCoeff(int i, Value obj_coef) = 0;
 		    virtual Value _getObjCoeff(int i) const = 0;
 		    virtual void _setSense(Sense) = 0;
 		    virtual Sense _getSense() const = 0;
 		    virtual void _clear() = 0;
 		    virtual const char* _solverName() const = 0;
 		    virtual void _messageLevel(MessageLevel level) = 0;
 		    //Own protected stuff
 		    //Constant component of the objective function
 		    Value obj_const_comp;
 		    LpBase() : rows(), cols(), obj_const_comp(0) {}
 		  public:
 		    /// Virtual destructor
 		    virtual ~LpBase() {}
 		    ///Gives back the name of the solver.
 		    const char* solverName() const {return _solverName();}
 		    ///\name Build up and modify the LP
 		    ///@{
 		    ///Add a new empty column (i.e a new variable) to the LP
 		    Col addCol() { Col c; c._id = _addColId(_addCol()); return c;}
 		    ///\brief Adds several new columns (i.e variables) at once
 		    ///
 		    ///This magic function takes a container as its argument and fills
 		    ///its elements with new columns (i.e. variables)
 		    ///\param t can be
 		    ///- a standard STL compatible iterable container with
 		    ///\ref Col as its \c values_type like
 		    ///\code
 		    ///std::vector<LpBase::Col>
 		    ///std::list<LpBase::Col>
 		    ///\endcode
 		    ///- a standard STL compatible iterable container with
 		    ///\ref Col as its \c mapped_type like
 		    ///\code
 		    ///std::map<AnyType,LpBase::Col>
 		    ///\endcode
 		    ///- an iterable lemon \ref concepts::WriteMap "write map" like
 		    ///\code
 		    ///ListGraph::NodeMap<LpBase::Col>
 		    ///ListGraph::ArcMap<LpBase::Col>
 		    ///\endcode
 		    ///\return The number of the created column.
 		#ifdef DOXYGEN
 		    template<class T>
 		    int addColSet(T &t) { return 0;}
 		#else
 		    template<class T>
 		    typename enable_if<typename T::value_type::LpCol,int>::type
 		    addColSet(T &t,dummy<0> = 0) {
 		      int s=0;
 		      for(typename T::iterator i=t.begin();i!=t.end();++i) {*i=addCol();s++;}
 		      return s;
+		    }
 		    template<class T>
 		    typename enable_if<typename T::value_type::second_type::LpCol,
 		                       int>::type
 		    addColSet(T &t,dummy<1> = 1) {
 		      int s=0;
 		      for(typename T::iterator i=t.begin();i!=t.end();++i) {
 		        i->second=addCol();
 		        s++;
+		      }
 		      return s;
+		    }
 		    template<class T>
 		    typename enable_if<typename T::MapIt::Value::LpCol,
 		                       int>::type
 		    addColSet(T &t,dummy<2> = 2) {
 		      int s=0;
 		      for(typename T::MapIt i(t); i!=INVALID; ++i)
+		        {
 		          i.set(addCol());
 		          s++;
+		        }
 		      return s;
+		    }
 		#endif
 		    ///Set a column (i.e a dual constraint) of the LP
 		    ///\param c is the column to be modified
 		    ///\param e is a dual linear expression (see \ref DualExpr)
 		    ///a better one.
 		    void col(Col c, const DualExpr &e) {
 		      e.simplify();
 		      _setColCoeffs(cols(id(c)), ExprIterator(e.comps.begin(), rows),
 		                    ExprIterator(e.comps.end(), rows));
+		    }
 		    ///Get a column (i.e a dual constraint) of the LP
 		    ///\param c is the column to get
 		    ///\return the dual expression associated to the column
 		    DualExpr col(Col c) const {
@@ -1434,192 +1451,195 @@
+		    }
 		    template<class T2>
 		    typename enable_if<typename T2::value_type::second_type::LpCol, void>::type
 		    colBounds(T2 &t, Value lower, Value upper,dummy<1> = 1) {
 		      for(typename T2::iterator i=t.begin();i!=t.end();++i) {
 		        colBounds(i->second, lower, upper);
+		      }
+		    }
 		    template<class T2>
 		    typename enable_if<typename T2::MapIt::Value::LpCol, void>::type
 		    colBounds(T2 &t, Value lower, Value upper,dummy<2> = 2) {
 		      for(typename T2::MapIt i(t); i!=INVALID; ++i){
 		        colBounds(*i, lower, upper);
+		      }
+		    }
 		#endif
 		    /// Set the lower bound of a row (i.e a constraint)
 		    /// The lower bound of a constraint (row) has to be given by an
 		    /// extended number of type Value, i.e. a finite number of type
 		    /// Value or -\ref INF.
 		    void rowLowerBound(Row r, Value value) {
 		      _setRowLowerBound(rows(id(r)),value);
+		    }
 		    /// Get the lower bound of a row (i.e a constraint)
 		    /// This function returns the lower bound for row (constraint) \c c
 		    /// (this might be -\ref INF as well).
 		    ///\return The lower bound for row \c r
 		    Value rowLowerBound(Row r) const {
 		      return _getRowLowerBound(rows(id(r)));
+		    }
 		    /// Set the upper bound of a row (i.e a constraint)
 		    /// The upper bound of a constraint (row) has to be given by an
 		    /// extended number of type Value, i.e. a finite number of type
 		    /// Value or -\ref INF.
 		    void rowUpperBound(Row r, Value value) {
 		      _setRowUpperBound(rows(id(r)),value);
+		    }
 		    /// Get the upper bound of a row (i.e a constraint)
 		    /// This function returns the upper bound for row (constraint) \c c
 		    /// (this might be -\ref INF as well).
 		    ///\return The upper bound for row \c r
 		    Value rowUpperBound(Row r) const {
 		      return _getRowUpperBound(rows(id(r)));
+		    }
 		    ///Set an element of the objective function
 		    void objCoeff(Col c, Value v) {_setObjCoeff(cols(id(c)),v); };
 		    ///Get an element of the objective function
 		    Value objCoeff(Col c) const { return _getObjCoeff(cols(id(c))); };
 		    ///Set the objective function
 		    ///\param e is a linear expression of type \ref Expr.
 		    ///
 		    void obj(const Expr& e) {
 		      _setObjCoeffs(ExprIterator(e.comps.begin(), cols),
 		                    ExprIterator(e.comps.end(), cols));
 		      obj_const_comp = *e;
+		    }
 		    ///Get the objective function
 		    ///\return the objective function as a linear expression of type
 		    ///Expr.
 		    Expr obj() const {
 		      Expr e;
 		      _getObjCoeffs(InsertIterator(e.comps, cols));
 		      *e = obj_const_comp;
 		      return e;
+		    }
 		    ///Set the direction of optimization
 		    void sense(Sense sense) { _setSense(sense); }
 		    ///Query the direction of the optimization
 		    Sense sense() const {return _getSense(); }
 		    ///Set the sense to maximization
 		    void max() { _setSense(MAX); }
 		    ///Set the sense to maximization
 		    void min() { _setSense(MIN); }
 		    ///Clears the problem
 		    void clear() { _clear(); }
 		    /// Sets the message level of the solver
 		    void messageLevel(MessageLevel level) { _messageLevel(level); }
 		    ///@}
 		  };
 		  /// Addition
 		  ///\relates LpBase::Expr
 		  ///
 		  inline LpBase::Expr operator+(const LpBase::Expr &a, const LpBase::Expr &b) {
 		    LpBase::Expr tmp(a);
 		    tmp+=b;
 		    return tmp;
+		  }
 		  ///Substraction
 		  ///\relates LpBase::Expr
 		  ///
 		  inline LpBase::Expr operator-(const LpBase::Expr &a, const LpBase::Expr &b) {
 		    LpBase::Expr tmp(a);
 		    tmp-=b;
 		    return tmp;
+		  }
 		  ///Multiply with constant
 		  ///\relates LpBase::Expr
 		  ///
 		  inline LpBase::Expr operator*(const LpBase::Expr &a, const LpBase::Value &b) {
 		    LpBase::Expr tmp(a);
 		    tmp*=b;
 		    return tmp;
+		  }
 		  ///Multiply with constant
 		  ///\relates LpBase::Expr
 		  ///
 		  inline LpBase::Expr operator*(const LpBase::Value &a, const LpBase::Expr &b) {
 		    LpBase::Expr tmp(b);
 		    tmp*=a;
 		    return tmp;
+		  }
 		  ///Divide with constant
 		  ///\relates LpBase::Expr
 		  ///
 		  inline LpBase::Expr operator/(const LpBase::Expr &a, const LpBase::Value &b) {
 		    LpBase::Expr tmp(a);
 		    tmp/=b;
 		    return tmp;
+		  }
 		  ///Create constraint
 		  ///\relates LpBase::Constr
 		  ///
 		  inline LpBase::Constr operator<=(const LpBase::Expr &e,
 		                                   const LpBase::Expr &f) {
 		    return LpBase::Constr(0, f - e, LpBase::INF);
+		  }
 		  ///Create constraint
 		  ///\relates LpBase::Constr
 		  ///
 		  inline LpBase::Constr operator<=(const LpBase::Value &e,
 		                                   const LpBase::Expr &f) {
 		    return LpBase::Constr(e, f, LpBase::NaN);
+		  }
 		  ///Create constraint
 		  ///\relates LpBase::Constr
 		  ///
 		  inline LpBase::Constr operator<=(const LpBase::Expr &e,
 		                                   const LpBase::Value &f) {
 		    return LpBase::Constr(- LpBase::INF, e, f);
+		  }
 		  ///Create constraint
 		  ///\relates LpBase::Constr
 		  ///
 		  inline LpBase::Constr operator>=(const LpBase::Expr &e,
 		                                   const LpBase::Expr &f) {
 		    return LpBase::Constr(0, e - f, LpBase::INF);
+		  }
 		  ///Create constraint
 		  ///\relates LpBase::Constr
 		  ///
 		  inline LpBase::Constr operator>=(const LpBase::Value &e,
 		                                   const LpBase::Expr &f) {
 		    return LpBase::Constr(LpBase::NaN, f, e);
+		  }

lemon/lp_skeleton.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
 		 * Copyright (C) 2003-2008
 		 * 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 <lemon/lp_skeleton.h>
 		///\file
 		///\brief A skeleton file to implement LP solver interfaces
 		namespace lemon {
 		  int SkeletonSolverBase::_addCol()
+		  {
 		    return ++col_num;
+		  }
 		  int SkeletonSolverBase::_addRow()
+		  {
 		    return ++row_num;
+		  }
 		  void SkeletonSolverBase::_eraseCol(int) {}
 		  void SkeletonSolverBase::_eraseRow(int) {}
 		  void SkeletonSolverBase::_getColName(int, std::string &) const {}
 		  void SkeletonSolverBase::_setColName(int, const std::string &) {}
 		  int SkeletonSolverBase::_colByName(const std::string&) const { return -1; }
 		  void SkeletonSolverBase::_getRowName(int, std::string &) const {}
 		  void SkeletonSolverBase::_setRowName(int, const std::string &) {}
 		  int SkeletonSolverBase::_rowByName(const std::string&) const { return -1; }
 		  void SkeletonSolverBase::_setRowCoeffs(int, ExprIterator, ExprIterator) {}
 		  void SkeletonSolverBase::_getRowCoeffs(int, InsertIterator) const {}
 		  void SkeletonSolverBase::_setColCoeffs(int, ExprIterator, ExprIterator) {}
 		  void SkeletonSolverBase::_getColCoeffs(int, InsertIterator) const {}
 		  void SkeletonSolverBase::_setCoeff(int, int, Value) {}
 		  SkeletonSolverBase::Value SkeletonSolverBase::_getCoeff(int, int) const
 		  { return 0; }
 		  void SkeletonSolverBase::_setColLowerBound(int, Value) {}
 		  SkeletonSolverBase::Value SkeletonSolverBase::_getColLowerBound(int) const
 		  {  return 0; }
 		  void SkeletonSolverBase::_setColUpperBound(int, Value) {}
 		  SkeletonSolverBase::Value SkeletonSolverBase::_getColUpperBound(int) const
 		  {  return 0; }
 		  void SkeletonSolverBase::_setRowLowerBound(int, Value) {}
 		  SkeletonSolverBase::Value SkeletonSolverBase::_getRowLowerBound(int) const
 		  {  return 0; }
 		  void SkeletonSolverBase::_setRowUpperBound(int, Value) {}
 		  SkeletonSolverBase::Value SkeletonSolverBase::_getRowUpperBound(int) const
 		  {  return 0; }
 		  void SkeletonSolverBase::_setObjCoeffs(ExprIterator, ExprIterator) {}
 		  void SkeletonSolverBase::_getObjCoeffs(InsertIterator) const {};
 		  void SkeletonSolverBase::_setObjCoeff(int, Value) {}
 		  SkeletonSolverBase::Value SkeletonSolverBase::_getObjCoeff(int) const
 		  {  return 0; }
 		  void SkeletonSolverBase::_setSense(Sense) {}
 		  SkeletonSolverBase::Sense SkeletonSolverBase::_getSense() const
 		  { return MIN; }
 		  void SkeletonSolverBase::_clear() {
 		    row_num = col_num = 0;
+		  }
 		  void SkeletonSolverBase::_messageLevel(MessageLevel) {}
 		  LpSkeleton::SolveExitStatus LpSkeleton::_solve() { return SOLVED; }
 		  LpSkeleton::Value LpSkeleton::_getPrimal(int) const { return 0; }
 		  LpSkeleton::Value LpSkeleton::_getDual(int) const { return 0; }
 		  LpSkeleton::Value LpSkeleton::_getPrimalValue() const { return 0; }
 		  LpSkeleton::Value LpSkeleton::_getPrimalRay(int) const { return 0; }
 		  LpSkeleton::Value LpSkeleton::_getDualRay(int) const { return 0; }
 		  LpSkeleton::ProblemType LpSkeleton::_getPrimalType() const
 		  { return UNDEFINED; }
 		  LpSkeleton::ProblemType LpSkeleton::_getDualType() const
 		  { return UNDEFINED; }
 		  LpSkeleton::VarStatus LpSkeleton::_getColStatus(int) const
 		  { return BASIC; }
 		  LpSkeleton::VarStatus LpSkeleton::_getRowStatus(int) const
 		  { return BASIC; }
 		  LpSkeleton* LpSkeleton::newSolver() const
 		  { return static_cast<LpSkeleton*>(0); }
 		  LpSkeleton* LpSkeleton::cloneSolver() const
 		  { return static_cast<LpSkeleton*>(0); }
 		  const char* LpSkeleton::_solverName() const { return "LpSkeleton"; }
 		  MipSkeleton::SolveExitStatus MipSkeleton::_solve()
 		  { return SOLVED; }
 		  MipSkeleton::Value MipSkeleton::_getSol(int) const { return 0; }
 		  MipSkeleton::Value MipSkeleton::_getSolValue() const { return 0; }
 		  MipSkeleton::ProblemType MipSkeleton::_getType() const
 		  { return UNDEFINED; }
 		  MipSkeleton* MipSkeleton::newSolver() const
 		  { return static_cast<MipSkeleton*>(0); }
 		  MipSkeleton* MipSkeleton::cloneSolver() const
 		  { return static_cast<MipSkeleton*>(0); }
 		  const char* MipSkeleton::_solverName() const { return "MipSkeleton"; }
 		} //namespace lemon

lemon/lp_skeleton.h

Show inline comments

@@ -47,179 +47,181 @@
 		    /// \e
 		    virtual void _eraseCol(int i);
 		    /// \e
 		    virtual void _eraseRow(int i);
 		    /// \e
 		    virtual void _getColName(int col, std::string& name) const;
 		    /// \e
 		    virtual void _setColName(int col, const std::string& name);
 		    /// \e
 		    virtual int _colByName(const std::string& name) const;
 		    /// \e
 		    virtual void _getRowName(int row, std::string& name) const;
 		    /// \e
 		    virtual void _setRowName(int row, const std::string& name);
 		    /// \e
 		    virtual int _rowByName(const std::string& name) const;
 		    /// \e
 		    virtual void _setRowCoeffs(int i, ExprIterator b, ExprIterator e);
 		    /// \e
 		    virtual void _getRowCoeffs(int i, InsertIterator b) const;
 		    /// \e
 		    virtual void _setColCoeffs(int i, ExprIterator b, ExprIterator e);
 		    /// \e
 		    virtual void _getColCoeffs(int i, InsertIterator b) const;
 		    /// Set one element of the coefficient matrix
 		    virtual void _setCoeff(int row, int col, Value value);
 		    /// Get one element of the coefficient matrix
 		    virtual Value _getCoeff(int row, int col) const;
 		    /// The lower bound of a variable (column) have to be given by an
 		    /// extended number of type Value, i.e. a finite number of type
 		    /// Value or -\ref INF.
 		    virtual void _setColLowerBound(int i, Value value);
 		    /// \e
 		    /// The lower bound of a variable (column) is an
 		    /// extended number of type Value, i.e. a finite number of type
 		    /// Value or -\ref INF.
 		    virtual Value _getColLowerBound(int i) const;
 		    /// The upper bound of a variable (column) have to be given by an
 		    /// extended number of type Value, i.e. a finite number of type
 		    /// Value or \ref INF.
 		    virtual void _setColUpperBound(int i, Value value);
 		    /// \e
 		    /// The upper bound of a variable (column) is an
 		    /// extended number of type Value, i.e. a finite number of type
 		    /// Value or \ref INF.
 		    virtual Value _getColUpperBound(int i) const;
 		    /// The lower bound of a constraint (row) have to be given by an
 		    /// extended number of type Value, i.e. a finite number of type
 		    /// Value or -\ref INF.
 		    virtual void _setRowLowerBound(int i, Value value);
 		    /// \e
 		    /// The lower bound of a constraint (row) is an
 		    /// extended number of type Value, i.e. a finite number of type
 		    /// Value or -\ref INF.
 		    virtual Value _getRowLowerBound(int i) const;
 		    /// The upper bound of a constraint (row) have to be given by an
 		    /// extended number of type Value, i.e. a finite number of type
 		    /// Value or \ref INF.
 		    virtual void _setRowUpperBound(int i, Value value);
 		    /// \e
 		    /// The upper bound of a constraint (row) is an
 		    /// extended number of type Value, i.e. a finite number of type
 		    /// Value or \ref INF.
 		    virtual Value _getRowUpperBound(int i) const;
 		    /// \e
 		    virtual void _setObjCoeffs(ExprIterator b, ExprIterator e);
 		    /// \e
 		    virtual void _getObjCoeffs(InsertIterator b) const;
 		    /// \e
 		    virtual void _setObjCoeff(int i, Value obj_coef);
 		    /// \e
 		    virtual Value _getObjCoeff(int i) const;
 		    ///\e
 		    virtual void _setSense(Sense);
 		    ///\e
 		    virtual Sense _getSense() const;
 		    ///\e
 		    virtual void _clear();
 		    ///\e
 		    virtual void _messageLevel(MessageLevel);
 		  };
 		  /// \brief Skeleton class for an LP solver interface
 		  ///
 		  ///This class does nothing, but it can serve as a skeleton when
 		  ///implementing an interface to new solvers.
 		  ///\ingroup lp_group
 		  class LpSkeleton : public LpSolver, public SkeletonSolverBase {
 		  public:
 		    ///\e
 		    LpSkeleton() : LpSolver(), SkeletonSolverBase() {}
 		    ///\e
 		    virtual LpSkeleton* newSolver() const;
 		    ///\e
 		    virtual LpSkeleton* cloneSolver() const;
 		  protected:
 		    ///\e
 		    virtual SolveExitStatus _solve();
 		    ///\e
 		    virtual Value _getPrimal(int i) const;
 		    ///\e
 		    virtual Value _getDual(int i) const;
 		    ///\e
 		    virtual Value _getPrimalValue() const;
 		    ///\e
 		    virtual Value _getPrimalRay(int i) const;
 		    ///\e
 		    virtual Value _getDualRay(int i) const;
 		    ///\e
 		    virtual ProblemType _getPrimalType() const;
 		    ///\e
 		    virtual ProblemType _getDualType() const;
 		    ///\e
 		    virtual VarStatus _getColStatus(int i) const;
 		    ///\e
 		    virtual VarStatus _getRowStatus(int i) const;
 		    ///\e
 		    virtual const char* _solverName() const;
 		  };
 		  /// \brief Skeleton class for a MIP solver interface
 		  ///
 		  ///This class does nothing, but it can serve as a skeleton when
 		  ///implementing an interface to new solvers.
 		  ///\ingroup lp_group
 		  class MipSkeleton : public MipSolver, public SkeletonSolverBase {
 		  public:
 		    ///\e
 		    MipSkeleton() : MipSolver(), SkeletonSolverBase() {}
 		    ///\e
 		    virtual MipSkeleton* newSolver() const;
 		    ///\e
 		    virtual MipSkeleton* cloneSolver() const;
 		  protected:
 		    ///\e
 		    virtual SolveExitStatus _solve();
 		    ///\e
 		    virtual Value _getSol(int i) const;
 		    ///\e
 		    virtual Value _getSolValue() const;
 		    ///\e
 		    virtual ProblemType _getType() const;
 		    ///\e
 		    virtual const char* _solverName() const;
 		  };
 		} //namespace lemon
 		#endif

lemon/soplex.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
 		 * Copyright (C) 2003-2008
 		 * 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 <iostream>
 		#include <lemon/soplex.h>
 		#include <soplex.h>
 		#include <spxout.h>
 		///\file
 		///\brief Implementation of the LEMON-SOPLEX lp solver interface.
 		namespace lemon {
 		  SoplexLp::SoplexLp() {
 		    soplex = new soplex::SoPlex;
 		    messageLevel(MESSAGE_NOTHING);
+		  }
 		  SoplexLp::~SoplexLp() {
 		    delete soplex;
+		  }
 		  SoplexLp::SoplexLp(const SoplexLp& lp) {
 		    rows = lp.rows;
 		    cols = lp.cols;
 		    soplex = new soplex::SoPlex;
 		    (*static_cast<soplex::SPxLP*>(soplex)) = *(lp.soplex);
 		    _col_names = lp._col_names;
 		    _col_names_ref = lp._col_names_ref;
 		    _row_names = lp._row_names;
 		    _row_names_ref = lp._row_names_ref;
 		    messageLevel(MESSAGE_NOTHING);
+		  }
 		  void SoplexLp::_clear_temporals() {
 		    _primal_values.clear();
 		    _dual_values.clear();
+		  }
 		  SoplexLp* SoplexLp::newSolver() const {
 		    SoplexLp* newlp = new SoplexLp();
 		    return newlp;
+		  }
 		  SoplexLp* SoplexLp::cloneSolver() const {
 		    SoplexLp* newlp = new SoplexLp(*this);
 		    return newlp;
+		  }
 		  const char* SoplexLp::_solverName() const { return "SoplexLp"; }
 		  int SoplexLp::_addCol() {
 		    soplex::LPCol c;
 		    c.setLower(-soplex::infinity);
 		    c.setUpper(soplex::infinity);
 		    soplex->addCol(c);
 		    _col_names.push_back(std::string());
 		    return soplex->nCols() - 1;
+		  }
 		  int SoplexLp::_addRow() {
 		    soplex::LPRow r;
 		    r.setLhs(-soplex::infinity);
 		    r.setRhs(soplex::infinity);
 		    soplex->addRow(r);
 		    _row_names.push_back(std::string());
 		    return soplex->nRows() - 1;
+		  }
 		  void SoplexLp::_eraseCol(int i) {
 		    soplex->removeCol(i);
 		    _col_names_ref.erase(_col_names[i]);
 		    _col_names[i] = _col_names.back();
 		    _col_names_ref[_col_names.back()] = i;
 		    _col_names.pop_back();
+		  }
 		  void SoplexLp::_eraseRow(int i) {
 		    soplex->removeRow(i);
 		    _row_names_ref.erase(_row_names[i]);
 		    _row_names[i] = _row_names.back();
 		    _row_names_ref[_row_names.back()] = i;
 		    _row_names.pop_back();
+		  }
 		  void SoplexLp::_eraseColId(int i) {
 		    cols.eraseIndex(i);
 		    cols.relocateIndex(i, cols.maxIndex());
+		  }
 		  void SoplexLp::_eraseRowId(int i) {
 		    rows.eraseIndex(i);
 		    rows.relocateIndex(i, rows.maxIndex());
+		  }
 		  void SoplexLp::_getColName(int c, std::string &name) const {
 		    name = _col_names[c];
+		  }
 		  void SoplexLp::_setColName(int c, const std::string &name) {
 		    _col_names_ref.erase(_col_names[c]);
 		    _col_names[c] = name;
 		    if (!name.empty()) {
 		      _col_names_ref.insert(std::make_pair(name, c));
+		    }
+		  }
 		  int SoplexLp::_colByName(const std::string& name) const {
 		    std::map<std::string, int>::const_iterator it =
 		      _col_names_ref.find(name);
 		    if (it != _col_names_ref.end()) {
 		      return it->second;
 		    } else {
 		      return -1;
+		    }
+		  }
 		  void SoplexLp::_getRowName(int r, std::string &name) const {
 		    name = _row_names[r];
+		  }
 		  void SoplexLp::_setRowName(int r, const std::string &name) {
 		    _row_names_ref.erase(_row_names[r]);
 		    _row_names[r] = name;
@@ -179,245 +182,271 @@
 		  void SoplexLp::_setColCoeffs(int j, ExprIterator b, ExprIterator e) {
 		    for (int i = 0; i < soplex->nRows(); ++i) {
 		      soplex->changeElement(i, j, 0.0);
+		    }
 		    for(ExprIterator it = b; it != e; ++it) {
 		      soplex->changeElement(it->first, j, it->second);
+		    }
+		  }
 		  void SoplexLp::_getColCoeffs(int i, InsertIterator b) const {
 		    const soplex::SVector& vec = soplex->colVector(i);
 		    for (int k = 0; k < vec.size(); ++k) {
 		      *b = std::make_pair(vec.index(k), vec.value(k));
 		      ++b;
+		    }
+		  }
 		  void SoplexLp::_setCoeff(int i, int j, Value value) {
 		    soplex->changeElement(i, j, value);
+		  }
 		  SoplexLp::Value SoplexLp::_getCoeff(int i, int j) const {
 		    return soplex->rowVector(i)[j];
+		  }
 		  void SoplexLp::_setColLowerBound(int i, Value value) {
 		    LEMON_ASSERT(value != INF, "Invalid bound");
 		    soplex->changeLower(i, value != -INF ? value : -soplex::infinity);
+		  }
 		  SoplexLp::Value SoplexLp::_getColLowerBound(int i) const {
 		    double value = soplex->lower(i);
 		    return value != -soplex::infinity ? value : -INF;
+		  }
 		  void SoplexLp::_setColUpperBound(int i, Value value) {
 		    LEMON_ASSERT(value != -INF, "Invalid bound");
 		    soplex->changeUpper(i, value != INF ? value : soplex::infinity);
+		  }
 		  SoplexLp::Value SoplexLp::_getColUpperBound(int i) const {
 		    double value = soplex->upper(i);
 		    return value != soplex::infinity ? value : INF;
+		  }
 		  void SoplexLp::_setRowLowerBound(int i, Value lb) {
 		    LEMON_ASSERT(lb != INF, "Invalid bound");
 		    soplex->changeRange(i, lb != -INF ? lb : -soplex::infinity, soplex->rhs(i));
+		  }
 		  SoplexLp::Value SoplexLp::_getRowLowerBound(int i) const {
 		    double res = soplex->lhs(i);
 		    return res == -soplex::infinity ? -INF : res;
+		  }
 		  void SoplexLp::_setRowUpperBound(int i, Value ub) {
 		    LEMON_ASSERT(ub != -INF, "Invalid bound");
 		    soplex->changeRange(i, soplex->lhs(i), ub != INF ? ub : soplex::infinity);
+		  }
 		  SoplexLp::Value SoplexLp::_getRowUpperBound(int i) const {
 		    double res = soplex->rhs(i);
 		    return res == soplex::infinity ? INF : res;
+		  }
 		  void SoplexLp::_setObjCoeffs(ExprIterator b, ExprIterator e) {
 		    for (int j = 0; j < soplex->nCols(); ++j) {
 		      soplex->changeObj(j, 0.0);
+		    }
 		    for (ExprIterator it = b; it != e; ++it) {
 		      soplex->changeObj(it->first, it->second);
+		    }
+		  }
 		  void SoplexLp::_getObjCoeffs(InsertIterator b) const {
 		    for (int j = 0; j < soplex->nCols(); ++j) {
 		      Value coef = soplex->obj(j);
 		      if (coef != 0.0) {
 		        *b = std::make_pair(j, coef);
 		        ++b;
+		      }
+		    }
+		  }
 		  void SoplexLp::_setObjCoeff(int i, Value obj_coef) {
 		    soplex->changeObj(i, obj_coef);
+		  }
 		  SoplexLp::Value SoplexLp::_getObjCoeff(int i) const {
 		    return soplex->obj(i);
+		  }
 		  SoplexLp::SolveExitStatus SoplexLp::_solve() {
 		    _clear_temporals();
 		    _applyMessageLevel();
 		    soplex::SPxSolver::Status status = soplex->solve();
 		    switch (status) {
 		    case soplex::SPxSolver::OPTIMAL:
 		    case soplex::SPxSolver::INFEASIBLE:
 		    case soplex::SPxSolver::UNBOUNDED:
 		      return SOLVED;
 		    default:
 		      return UNSOLVED;
+		    }
+		  }
 		  SoplexLp::Value SoplexLp::_getPrimal(int i) const {
 		    if (_primal_values.empty()) {
 		      _primal_values.resize(soplex->nCols());
 		      soplex::Vector pv(_primal_values.size(), &_primal_values.front());
 		      soplex->getPrimal(pv);
+		    }
 		    return _primal_values[i];
+		  }
 		  SoplexLp::Value SoplexLp::_getDual(int i) const {
 		    if (_dual_values.empty()) {
 		      _dual_values.resize(soplex->nRows());
 		      soplex::Vector dv(_dual_values.size(), &_dual_values.front());
 		      soplex->getDual(dv);
+		    }
 		    return _dual_values[i];
+		  }
 		  SoplexLp::Value SoplexLp::_getPrimalValue() const {
 		    return soplex->objValue();
+		  }
 		  SoplexLp::VarStatus SoplexLp::_getColStatus(int i) const {
 		    switch (soplex->getBasisColStatus(i)) {
 		    case soplex::SPxSolver::BASIC:
 		      return BASIC;
 		    case soplex::SPxSolver::ON_UPPER:
 		      return UPPER;
 		    case soplex::SPxSolver::ON_LOWER:
 		      return LOWER;
 		    case soplex::SPxSolver::FIXED:
 		      return FIXED;
 		    case soplex::SPxSolver::ZERO:
 		      return FREE;
 		    default:
 		      LEMON_ASSERT(false, "Wrong column status");
 		      return VarStatus();
+		    }
+		  }
 		  SoplexLp::VarStatus SoplexLp::_getRowStatus(int i) const {
 		    switch (soplex->getBasisRowStatus(i)) {
 		    case soplex::SPxSolver::BASIC:
 		      return BASIC;
 		    case soplex::SPxSolver::ON_UPPER:
 		      return UPPER;
 		    case soplex::SPxSolver::ON_LOWER:
 		      return LOWER;
 		    case soplex::SPxSolver::FIXED:
 		      return FIXED;
 		    case soplex::SPxSolver::ZERO:
 		      return FREE;
 		    default:
 		      LEMON_ASSERT(false, "Wrong row status");
 		      return VarStatus();
+		    }
+		  }
 		  SoplexLp::Value SoplexLp::_getPrimalRay(int i) const {
 		    if (_primal_ray.empty()) {
 		      _primal_ray.resize(soplex->nCols());
 		      soplex::Vector pv(_primal_ray.size(), &_primal_ray.front());
 		      soplex->getDualfarkas(pv);
+		    }
 		    return _primal_ray[i];
+		  }
 		  SoplexLp::Value SoplexLp::_getDualRay(int i) const {
 		    if (_dual_ray.empty()) {
 		      _dual_ray.resize(soplex->nRows());
 		      soplex::Vector dv(_dual_ray.size(), &_dual_ray.front());
 		      soplex->getDualfarkas(dv);
+		    }
 		    return _dual_ray[i];
+		  }
 		  SoplexLp::ProblemType SoplexLp::_getPrimalType() const {
 		    switch (soplex->status()) {
 		    case soplex::SPxSolver::OPTIMAL:
 		      return OPTIMAL;
 		    case soplex::SPxSolver::UNBOUNDED:
 		      return UNBOUNDED;
 		    case soplex::SPxSolver::INFEASIBLE:
 		      return INFEASIBLE;
 		    default:
 		      return UNDEFINED;
+		    }
+		  }
 		  SoplexLp::ProblemType SoplexLp::_getDualType() const {
 		    switch (soplex->status()) {
 		    case soplex::SPxSolver::OPTIMAL:
 		      return OPTIMAL;
 		    case soplex::SPxSolver::UNBOUNDED:
 		      return UNBOUNDED;
 		    case soplex::SPxSolver::INFEASIBLE:
 		      return INFEASIBLE;
 		    default:
 		      return UNDEFINED;
+		    }
+		  }
 		  void SoplexLp::_setSense(Sense sense) {
 		    switch (sense) {
 		    case MIN:
 		      soplex->changeSense(soplex::SPxSolver::MINIMIZE);
 		      break;
 		    case MAX:
 		      soplex->changeSense(soplex::SPxSolver::MAXIMIZE);
+		    }
+		  }
 		  SoplexLp::Sense SoplexLp::_getSense() const {
 		    switch (soplex->spxSense()) {
 		    case soplex::SPxSolver::MAXIMIZE:
 		      return MAX;
 		    case soplex::SPxSolver::MINIMIZE:
 		      return MIN;
 		    default:
 		      LEMON_ASSERT(false, "Wrong sense.");
 		      return SoplexLp::Sense();
+		    }
+		  }
 		  void SoplexLp::_clear() {
 		    soplex->clear();
 		    _col_names.clear();
 		    _col_names_ref.clear();
 		    _row_names.clear();
 		    _row_names_ref.clear();
 		    cols.clear();
 		    rows.clear();
 		    _clear_temporals();
+		  }
 		  void SoplexLp::_messageLevel(MessageLevel level) {
 		    switch (level) {
 		    case MESSAGE_NOTHING:
 		      _message_level = -1;
 		      break;
 		    case MESSAGE_ERROR:
 		      _message_level = soplex::SPxOut::ERROR;
 		      break;
 		    case MESSAGE_WARNING:
 		      _message_level = soplex::SPxOut::WARNING;
 		      break;
 		    case MESSAGE_NORMAL:
 		      _message_level = soplex::SPxOut::INFO2;
 		      break;
 		    case MESSAGE_VERBOSE:
 		      _message_level = soplex::SPxOut::DEBUG;
 		      break;
+		    }
+		  }
 		  void SoplexLp::_applyMessageLevel() {
 		    soplex::Param::setVerbose(_message_level);
+		  }
 		} //namespace lemon

lemon/soplex.h

Show inline comments

@@ -51,102 +51,107 @@
 		    std::vector<std::string> _col_names;
 		    std::map<std::string, int> _col_names_ref;
 		    std::vector<std::string> _row_names;
 		    std::map<std::string, int> _row_names_ref;
 		  private:
 		    // these values cannot be retrieved element by element
 		    mutable std::vector<Value> _primal_values;
 		    mutable std::vector<Value> _dual_values;
 		    mutable std::vector<Value> _primal_ray;
 		    mutable std::vector<Value> _dual_ray;
 		    void _clear_temporals();
 		  public:
 		    /// \e
 		    SoplexLp();
 		    /// \e
 		    SoplexLp(const SoplexLp&);
 		    /// \e
 		    ~SoplexLp();
 		    /// \e
 		    virtual SoplexLp* newSolver() const;
 		    /// \e
 		    virtual SoplexLp* cloneSolver() const;
 		  protected:
 		    virtual const char* _solverName() const;
 		    virtual int _addCol();
 		    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 sense);
 		    virtual Sense _getSense() const;
 		    virtual SolveExitStatus _solve();
 		    virtual Value _getPrimal(int i) const;
 		    virtual Value _getDual(int i) const;
 		    virtual Value _getPrimalValue() const;
 		    virtual Value _getPrimalRay(int i) const;
 		    virtual Value _getDualRay(int i) const;
 		    virtual VarStatus _getColStatus(int i) const;
 		    virtual VarStatus _getRowStatus(int i) const;
 		    virtual ProblemType _getPrimalType() const;
 		    virtual ProblemType _getDualType() const;
 		    virtual void _clear();
 		    void _messageLevel(MessageLevel m);
 		    void _applyMessageLevel();
 		    int _message_level;
 		  };
 		} //END OF NAMESPACE LEMON
 		#endif //LEMON_SOPLEX_H

test/lp_test.cc

Show inline comments

@@ -302,125 +302,120 @@
 		  check(e[x2] == 2, "The second coefficient should 1.");
 		  lp.row(upright, x1+x2 <=1);
 		  e = lp.row(upright);
 		  check(e[x1] == 1, "The first coefficient should 1.");
 		  check(e[x2] == 1, "The second coefficient should 1.");
 		  LpSolver::DualExpr de = lp.col(x1);
 		  check(  de[upright] == 1, "The first coefficient should 1.");
 		  LpSolver* clp = lp.cloneSolver();
 		  //Testing the problem retrieving routines
 		  check(clp->objCoeff(x1)==1,"First term should be 1 in the obj function!");
 		  check(clp->sense() == clp->MAX,"This is a maximization!");
 		  check(clp->coeff(upright,x1)==1,"The coefficient in question is 1!");
 		  //  std::cout<<lp.colLowerBound(x1)<<std::endl;
 		  check(clp->colLowerBound(x1)==0,
 		        "The lower bound for variable x1 should be 0.");
 		  check(clp->colUpperBound(x1)==LpSolver::INF,
 		        "The upper bound for variable x1 should be infty.");
 		  check(lp.rowLowerBound(upright)==-LpSolver::INF,
 		        "The lower bound for the first row should be -infty.");
 		  check(lp.rowUpperBound(upright)==1,
 		        "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);
+		}
 		template<class LP>
 		void cloneTest()
+		{
 		  //Test for clone/new
 		  LP* lp = new LP();
 		  LP* lpnew = lp->newSolver();
 		  LP* lpclone = lp->cloneSolver();
 		  delete lp;
 		  delete lpnew;
 		  delete lpclone;
+		}
 		int main()
+		{
 		  LpSkeleton lp_skel;
 		  lpTest(lp_skel);
 		#ifdef HAVE_GLPK
+		  {
 		    GlpkLp lp_glpk1,lp_glpk2;
 		    lpTest(lp_glpk1);
 		    aTest(lp_glpk2);
 		    cloneTest<GlpkLp>();
+		  }
 		#endif
 		#ifdef HAVE_CPLEX
 		  try {
 		    CplexLp lp_cplex1,lp_cplex2;
 		    lpTest(lp_cplex1);
 		    aTest(lp_cplex2);
 		    cloneTest<CplexLp>();
 		  } 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);
 		    cloneTest<SoplexLp>();
+		  }
 		#endif
 		#ifdef HAVE_CLP
+		  {
 		    ClpLp lp_clp1,lp_clp2;
 		    lpTest(lp_clp1);
 		    aTest(lp_clp2);
 		    cloneTest<ClpLp>();
+		  }
 		#endif
 		  return 0;
+		}

test/mip_test.cc

Show inline comments

@@ -50,116 +50,111 @@
 		  //  itoa(stat,buf1, 10);
 		  check(mip.type()==stat, buf.str());
 		  if (stat ==  MipSolver::OPTIMAL) {
 		    std::ostringstream sbuf;
 		    buf << "Wrong optimal value: the right optimum is " << 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 HAVE_GLPK
+		  {
 		    GlpkMip mip1;
 		    aTest(mip1);
 		    cloneTest<GlpkMip>();
+		  }
 		#endif
 		#ifdef HAVE_CPLEX
 		  try {
 		    CplexMip mip2;
 		    aTest(mip2);
 		    cloneTest<CplexMip>();
 		  } 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_CBC
+		  {
 		    CbcMip mip1;
 		    aTest(mip1);
 		    cloneTest<CbcMip>();
+		  }
 		#endif
 		  return 0;
+		}

tools/lemon-0.x-to-1.x.sh

Show inline comments

 		#!/bin/bash
 		set -e
 		if [ $# -eq 0 -o x$1 = "x-h" -o x$1 = "x-help" -o x$1 = "x--help" ]; then
 		    echo "Usage:"
 		    echo "  $0 source-file(s)"
 		    exit
 		fi
 		for i in $@
 		do
 		    echo Update $i...
 		    TMP=`mktemp`
 		    sed -e "s/\<undirected graph\>/_gr_aph_label_/g"\
 		        -e "s/\<undirected graphs\>/_gr_aph_label_s/g"\
 		        -e "s/\<undirected edge\>/_ed_ge_label_/g"\
 		        -e "s/\<undirected edges\>/_ed_ge_label_s/g"\
 		        -e "s/\<directed graph\>/_digr_aph_label_/g"\
 		        -e "s/\<directed graphs\>/_digr_aph_label_s/g"\
 		        -e "s/\<directed edge\>/_ar_c_label_/g"\
 		        -e "s/\<directed edges\>/_ar_c_label_s/g"\
 		        -e "s/UGraph/_Gr_aph_label_/g"\
 		        -e "s/u[Gg]raph/_gr_aph_label_/g"\
 		        -e "s/Graph\>/_Digr_aph_label_/g"\
 		        -e "s/\<graph\>/_digr_aph_label_/g"\
 		        -e "s/Graphs\>/_Digr_aph_label_s/g"\
 		        -e "s/\<graphs\>/_digr_aph_label_s/g"\
 		        -e "s/\([Gg]\)raph\([a-z]\)/_\1r_aph_label_\2/g"\
 		        -e "s/\([a-z_]\)graph/\1_gr_aph_label_/g"\
 		        -e "s/Graph/_Digr_aph_label_/g"\
 		        -e "s/graph/_digr_aph_label_/g"\
 		        -e "s/UEdge/_Ed_ge_label_/g"\
 		        -e "s/u[Ee]dge/_ed_ge_label_/g"\
 		        -e "s/IncEdgeIt/_In_cEd_geIt_label_/g"\
 		        -e "s/Edge\>/_Ar_c_label_/g"\
 		        -e "s/\<edge\>/_ar_c_label_/g"\
 		        -e "s/_edge\>/_ar_c_label_/g"\
 		        -e "s/Edges\>/_Ar_c_label_s/g"\
 		        -e "s/\<edges\>/_ar_c_label_s/g"\
 		        -e "s/_edges\>/_ar_c_label_s/g"\
 		        -e "s/\([Ee]\)dge\([a-z]\)/_\1d_ge_label_\2/g"\
 		        -e "s/\([a-z]\)edge/\1_ed_ge_label_/g"\
 		        -e "s/Edge/_Ar_c_label_/g"\
 		        -e "s/edge/_ar_c_label_/g"\
 		        -e "s/A[Nn]ode/_Re_d_label_/g"\
 		        -e "s/B[Nn]ode/_Blu_e_label_/g"\
 		        -e "s/A-[Nn]ode/_Re_d_label_/g"\
 		        -e "s/B-[Nn]ode/_Blu_e_label_/g"\
 		        -e "s/a[Nn]ode/_re_d_label_/g"\
 		        -e "s/b[Nn]ode/_blu_e_label_/g"\
 		        -e "s/\<UGRAPH_TYPEDEFS\([ \t]*([ \t]*\)typename[ \t]/TEMPLATE__GR_APH_TY_PEDE_FS_label_\1/g"\
 		        -e "s/\<GRAPH_TYPEDEFS\([ \t]*([ \t]*\)typename[ \t]/TEMPLATE__DIGR_APH_TY_PEDE_FS_label_\1/g"\
 		        -e "s/\<UGRAPH_TYPEDEFS\>/_GR_APH_TY_PEDE_FS_label_/g"\
 		        -e "s/\<GRAPH_TYPEDEFS\>/_DIGR_APH_TY_PEDE_FS_label_/g"\
 		        -e "s/_Digr_aph_label_/Digraph/g"\
 		        -e "s/_digr_aph_label_/digraph/g"\
 		        -e "s/_Gr_aph_label_/Graph/g"\
 		        -e "s/_gr_aph_label_/graph/g"\
 		        -e "s/_Ar_c_label_/Arc/g"\
 		        -e "s/_ar_c_label_/arc/g"\
 		        -e "s/_Ed_ge_label_/Edge/g"\
 		        -e "s/_ed_ge_label_/edge/g"\
 		        -e "s/_In_cEd_geIt_label_/IncEdgeIt/g"\
 		        -e "s/_Re_d_label_/Red/g"\
 		        -e "s/_Blu_e_label_/Blue/g"\
 		        -e "s/_re_d_label_/red/g"\
 		        -e "s/_blu_e_label_/blue/g"\
 		        -e "s/_GR_APH_TY_PEDE_FS_label_/GRAPH_TYPEDEFS/g"\
 		        -e "s/_DIGR_APH_TY_PEDE_FS_label_/DIGRAPH_TYPEDEFS/g"\
 		        -e "s/DigraphToEps/GraphToEps/g"\
 		        -e "s/digraphToEps/graphToEps/g"\
 		        -e "s/\<DefPredMap\>/SetPredMap/g"\
 		        -e "s/\<DefDistMap\>/SetDistMap/g"\
 		        -e "s/\<DefReachedMap\>/SetReachedMap/g"\
 		        -e "s/\<DefProcessedMap\>/SetProcessedMap/g"\
 		        -e "s/\<DefHeap\>/SetHeap/g"\
 		        -e "s/\<DefStandardHeap\>/SetStandradHeap/g"\
 		        -e "s/\<DefOperationTraits\>/SetOperationTraits/g"\
 		        -e "s/\<DefProcessedMapToBeDefaultMap\>/SetStandardProcessedMap/g"\
 		        -e "s/\<copyGraph\>/graphCopy/g"\
 		        -e "s/\<copyDigraph\>/digraphCopy/g"\
 		        -e "s/\<HyperCubeDigraph\>/HypercubeGraph/g"\
 		        -e "s/\<IntegerMap\>/RangeMap/g"\
 		        -e "s/\<integerMap\>/rangeMap/g"\
 		        -e "s/\<\([sS]\)tdMap\>/\1parseMap/g"\
 		        -e "s/\<\([Ff]\)unctorMap\>/\1unctorToMap/g"\
 		        -e "s/\<\([Mm]\)apFunctor\>/\1apToFunctor/g"\
 		        -e "s/\<\([Ff]\)orkWriteMap\>/\1orkMap/g"\
 		        -e "s/\<StoreBoolMap\>/LoggerBoolMap/g"\
 		        -e "s/\<storeBoolMap\>/loggerBoolMap/g"\
 		        -e "s/\<InvertableMap\>/CrossRefMap/g"\
 		        -e "s/\<invertableMap\>/crossRefMap/g"\
 		        -e "s/\<DescriptorMap\>/RangeIdMap/g"\
 		        -e "s/\<descriptorMap\>/rangeIdMap/g"\
 		        -e "s/\<BoundingBox\>/Box/g"\
 		        -e "s/\<readNauty\>/readNautyGraph/g"\
 		        -e "s/\<RevDigraphAdaptor\>/ReverseDigraph/g"\
 		        -e "s/\<revDigraphAdaptor\>/reverseDigraph/g"\
 		        -e "s/\<SubDigraphAdaptor\>/SubDigraph/g"\
 		        -e "s/\<subDigraphAdaptor\>/subDigraph/g"\
 		        -e "s/\<SubGraphAdaptor\>/SubGraph/g"\
 		        -e "s/\<subGraphAdaptor\>/subGraph/g"\
 		        -e "s/\<NodeSubDigraphAdaptor\>/FilterNodes/g"\
 		        -e "s/\<nodeSubDigraphAdaptor\>/filterNodes/g"\
 		        -e "s/\<ArcSubDigraphAdaptor\>/FilterArcs/g"\
 		        -e "s/\<arcSubDigraphAdaptor\>/filterArcs/g"\
 		        -e "s/\<UndirDigraphAdaptor\>/Undirector/g"\
 		        -e "s/\<undirDigraphAdaptor\>/undirector/g"\
 		        -e "s/\<ResDigraphAdaptor\>/ResidualDigraph/g"\
 		        -e "s/\<resDigraphAdaptor\>/residualDigraph/g"\
 		        -e "s/\<SplitDigraphAdaptor\>/SplitNodes/g"\
 		        -e "s/\<splitDigraphAdaptor\>/splitNodes/g"\
 		        -e "s/\<SubGraphAdaptor\>/SubGraph/g"\
 		        -e "s/\<subGraphAdaptor\>/subGraph/g"\
 		        -e "s/\<NodeSubGraphAdaptor\>/FilterNodes/g"\
 		        -e "s/\<nodeSubGraphAdaptor\>/filterNodes/g"\
 		        -e "s/\<ArcSubGraphAdaptor\>/FilterEdges/g"\
 		        -e "s/\<arcSubGraphAdaptor\>/filterEdges/g"\
 		        -e "s/\<DirGraphAdaptor\>/Orienter/g"\
 		        -e "s/\<dirGraphAdaptor\>/orienter/g"\
 		        -e "s/\<LpCplex\>/CplexLp/g"\
 		        -e "s/\<MipCplex\>/CplexMip/g"\
 		        -e "s/\<LpGlpk\>/GlpkLp/g"\
 		        -e "s/\<MipGlpk\>/GlpkMip/g"\
 		        -e "s/\<LpSoplex\>/SoplexLp/g"\
 		    <$i > $TMP
 		    mv $TMP $i
 		done

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