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diff --git a/build/Bonmin/include/coin/CbcHeuristicGreedy.hpp b/build/Bonmin/include/coin/CbcHeuristicGreedy.hpp
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--- a/build/Bonmin/include/coin/CbcHeuristicGreedy.hpp
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-/* $Id: CbcHeuristicGreedy.hpp 1585 2011-01-11 19:04:34Z forrest $ */
-// Copyright (C) 2005, International Business Machines
-// Corporation and others.  All Rights Reserved.
-// This code is licensed under the terms of the Eclipse Public License (EPL).
-
-#ifndef CbcHeuristicGreedy_H
-#define CbcHeuristicGreedy_H
-
-#include "CbcHeuristic.hpp"
-/** Greedy heuristic classes
- */
-
-class CbcHeuristicGreedyCover : public CbcHeuristic {
-public:
-
-    // Default Constructor
-    CbcHeuristicGreedyCover ();
-
-    /* Constructor with model - assumed before cuts
-       Initial version does not do Lps
-    */
-    CbcHeuristicGreedyCover (CbcModel & model);
-
-    // Copy constructor
-    CbcHeuristicGreedyCover ( const CbcHeuristicGreedyCover &);
-
-    // Destructor
-    ~CbcHeuristicGreedyCover ();
-
-    /// Clone
-    virtual CbcHeuristic * clone() const;
-    /// Assignment operator
-    CbcHeuristicGreedyCover & operator=(const CbcHeuristicGreedyCover& rhs);
-    /// Create C++ lines to get to current state
-    virtual void generateCpp( FILE * fp) ;
-
-    /// update model (This is needed if cliques update matrix etc)
-    virtual void setModel(CbcModel * model);
-
-    using CbcHeuristic::solution ;
-    /** returns 0 if no solution, 1 if valid solution.
-        Sets solution values if good, sets objective value (only if good)
-        We leave all variables which are at one at this node of the
-        tree to that value and will
-        initially set all others to zero.  We then sort all variables in order of their cost
-        divided by the number of entries in rows which are not yet covered.  We randomize that
-        value a bit so that ties will be broken in different ways on different runs of the heuristic.
-        We then choose the best one and set it to one and repeat the exercise.
-
-    */
-    virtual int solution(double & objectiveValue,
-                         double * newSolution);
-    /// Validate model i.e. sets when_ to 0 if necessary (may be NULL)
-    virtual void validate() ;
-    /// Resets stuff if model changes
-    virtual void resetModel(CbcModel * model);
-    /* Algorithm
-       0 - use current upper bounds
-       1 - use original upper bounds
-       If 10 added perturb ratios more
-       if 100 added round up all >=0.5
-    */
-    inline int algorithm() const {
-        return algorithm_;
-    }
-    inline void setAlgorithm(int value) {
-        algorithm_ = value;
-    }
-    // Only do this many times
-    inline int numberTimes() const {
-        return numberTimes_;
-    }
-    inline void setNumberTimes(int value) {
-        numberTimes_ = value;
-    }
-
-protected:
-    /// Guts of constructor from a CbcModel
-    void gutsOfConstructor(CbcModel * model);
-    // Data
-
-    // Original matrix by column
-    CoinPackedMatrix matrix_;
-    // original number of rows
-    int originalNumberRows_;
-    /* Algorithm
-       0 - use current upper bounds
-       1 - use original upper bounds
-       If 10 added perturb ratios more
-    */
-    int algorithm_;
-    /// Do this many times
-    int numberTimes_;
-
-};
-
-
-class CbcHeuristicGreedyEquality : public CbcHeuristic {
-public:
-
-    // Default Constructor
-    CbcHeuristicGreedyEquality ();
-
-    /* Constructor with model - assumed before cuts
-       Initial version does not do Lps
-    */
-    CbcHeuristicGreedyEquality (CbcModel & model);
-
-    // Copy constructor
-    CbcHeuristicGreedyEquality ( const CbcHeuristicGreedyEquality &);
-
-    // Destructor
-    ~CbcHeuristicGreedyEquality ();
-
-    /// Clone
-    virtual CbcHeuristic * clone() const;
-    /// Assignment operator
-    CbcHeuristicGreedyEquality & operator=(const CbcHeuristicGreedyEquality& rhs);
-    /// Create C++ lines to get to current state
-    virtual void generateCpp( FILE * fp) ;
-
-    /// update model (This is needed if cliques update matrix etc)
-    virtual void setModel(CbcModel * model);
-
-    using CbcHeuristic::solution ;
-    /** returns 0 if no solution, 1 if valid solution.
-        Sets solution values if good, sets objective value (only if good)
-        We leave all variables which are at one at this node of the
-        tree to that value and will
-        initially set all others to zero.  We then sort all variables in order of their cost
-        divided by the number of entries in rows which are not yet covered.  We randomize that
-        value a bit so that ties will be broken in different ways on different runs of the heuristic.
-        We then choose the best one and set it to one and repeat the exercise.
-
-    */
-    virtual int solution(double & objectiveValue,
-                         double * newSolution);
-    /// Validate model i.e. sets when_ to 0 if necessary (may be NULL)
-    virtual void validate() ;
-    /// Resets stuff if model changes
-    virtual void resetModel(CbcModel * model);
-    /* Algorithm
-       0 - use current upper bounds
-       1 - use original upper bounds
-       If 10 added perturb ratios more
-       if 100 added round up all >=0.5
-    */
-    inline int algorithm() const {
-        return algorithm_;
-    }
-    inline void setAlgorithm(int value) {
-        algorithm_ = value;
-    }
-    // Fraction of rhs to cover before branch and cut
-    inline void setFraction(double value) {
-        fraction_ = value;
-    }
-    inline double fraction() const {
-        return fraction_;
-    }
-    // Only do this many times
-    inline int numberTimes() const {
-        return numberTimes_;
-    }
-    inline void setNumberTimes(int value) {
-        numberTimes_ = value;
-    }
-protected:
-    /// Guts of constructor from a CbcModel
-    void gutsOfConstructor(CbcModel * model);
-    // Data
-
-    // Original matrix by column
-    CoinPackedMatrix matrix_;
-    // Fraction of rhs to cover before branch and cut
-    double fraction_;
-    // original number of rows
-    int originalNumberRows_;
-    /* Algorithm
-       0 - use current upper bounds
-       1 - use original upper bounds
-       If 10 added perturb ratios more
-    */
-    int algorithm_;
-    /// Do this many times
-    int numberTimes_;
-
-};
-
-/** Greedy heuristic for SOS and L rows (and positive elements)
- */
-
-class CbcHeuristicGreedySOS : public CbcHeuristic {
-public:
-
-    // Default Constructor
-    CbcHeuristicGreedySOS ();
-
-    /* Constructor with model - assumed before cuts
-       Initial version does not do Lps
-    */
-    CbcHeuristicGreedySOS (CbcModel & model);
-
-    // Copy constructor
-    CbcHeuristicGreedySOS ( const CbcHeuristicGreedySOS &);
-
-    // Destructor
-    ~CbcHeuristicGreedySOS ();
-
-    /// Clone
-    virtual CbcHeuristic * clone() const;
-    /// Assignment operator
-    CbcHeuristicGreedySOS & operator=(const CbcHeuristicGreedySOS& rhs);
-    /// Create C++ lines to get to current state
-    virtual void generateCpp( FILE * fp) ;
-
-    /// update model (This is needed if cliques update matrix etc)
-    virtual void setModel(CbcModel * model);
-
-    using CbcHeuristic::solution ;
-    /** returns 0 if no solution, 1 if valid solution.
-        Sets solution values if good, sets objective value (only if good)
-        We leave all variables which are at one at this node of the
-        tree to that value and will
-        initially set all others to zero.  We then sort all variables in order of their cost
-        divided by the number of entries in rows which are not yet covered.  We randomize that
-        value a bit so that ties will be broken in different ways on different runs of the heuristic.
-        We then choose the best one and set it to one and repeat the exercise.
-
-    */
-    virtual int solution(double & objectiveValue,
-                         double * newSolution);
-    /// Validate model i.e. sets when_ to 0 if necessary (may be NULL)
-    virtual void validate() ;
-    /// Resets stuff if model changes
-    virtual void resetModel(CbcModel * model);
-    /* Algorithm
-       Bits
-       1 bit - use current model, otherwise original
-       2 - use current solution as starting point, otherwise pure greedy
-       4 - as 2 but use merit not merit/size
-       8 - use duals to modify greedy
-       16 - use duals on GUB/SOS in special way
-    */
-    inline int algorithm() const {
-        return algorithm_;
-    }
-    inline void setAlgorithm(int value) {
-        algorithm_ = value;
-    }
-    // Only do this many times
-    inline int numberTimes() const {
-        return numberTimes_;
-    }
-    inline void setNumberTimes(int value) {
-        numberTimes_ = value;
-    }
-
-protected:
-    /// Guts of constructor from a CbcModel
-    void gutsOfConstructor(CbcModel * model);
-    // Data
-
-    // Original RHS - if -1.0 then SOS otherwise <= value
-    double * originalRhs_;
-    // Original matrix by column
-    CoinPackedMatrix matrix_;
-    // original number of rows
-    int originalNumberRows_;
-    /* Algorithm
-    */
-    int algorithm_;
-    /// Do this many times
-    int numberTimes_;
-
-};
-
-
-#endif
-