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diff --git a/build/Bonmin/include/coin/BonHeuristicDive.hpp b/build/Bonmin/include/coin/BonHeuristicDive.hpp
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-// Copyright (C) 2007, International Business Machines Corporation and others.
-// All Rights Reserved.
-// This code is published under the Eclipse Public License.
-//
-// Authors :
-// Joao P. Goncalves, International Business Machines Corporation
-//
-// Date : November 12, 2007
-
-#ifndef BonHeuristicDive_HPP
-#define BonHeuristicDive_HPP
-#include "BonOsiTMINLPInterface.hpp"
-#include "BonBonminSetup.hpp"
-#include "CbcHeuristic.hpp"
-
-namespace Bonmin
-{
- class HeuristicDive : public CbcHeuristic
- {
- public:
- /// Default constructor
- HeuristicDive();
-
- /// Constructor with setup
- HeuristicDive(BonminSetup * setup);
-
- /// Copy constructor
- HeuristicDive(const HeuristicDive &copy);
-
- /// Destructor
- ~HeuristicDive() {}
-
- /// Assignment operator
- HeuristicDive & operator=(const HeuristicDive & rhs);
-
- /// Clone
- virtual CbcHeuristic * clone() const = 0;
-
- /// Resets stuff if model changes
- virtual void resetModel(CbcModel * model){
- setModel(model);
- }
-
- /** Change setup used for heuristic.*/
- virtual void setSetup(BonminSetup * setup){
- setup_ = setup;
- // Initialize(setup_->options());
- }
-
- /// Set percentage of integer variables to fix at bounds
- void setPercentageToFix(double value)
- { percentageToFix_ = value; }
-
- /// Performs heuristic
- virtual int solution(double &solutionValue, double *betterSolution);
-
- /// sets internal variables
- virtual void setInternalVariables(TMINLP2TNLP* minlp) = 0;
-
- /// Selects the next variable to branch on
- /** If bestColumn = -1, it means that no variable was found
- */
- virtual void selectVariableToBranch(TMINLP2TNLP* minlp,
- const vector<int> & integerColumns,
- const double* newSolution,
- int& bestColumn,
- int& bestRound) = 0;
-
- protected:
- /** Setup to use for local searches (will make copies).*/
- BonminSetup * setup_;
-
- /// Percentage of integer variables to fix at bounds
- double percentageToFix_;
-
- private:
- /// How often to do (code can change)
- int howOften_;
-
- };
-
- /// checks if the NLP relaxation of the problem is feasible
- bool isNlpFeasible(TMINLP2TNLP* minlp, const double primalTolerance);
-
- /// Adjusts the primalTolerance in case some of the constraints are violated
- void adjustPrimalTolerance(TMINLP2TNLP* minlp, double & primalTolerance);
-}
-#endif