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diff --git a/build/Bonmin/include/coin/ClpObjective.hpp b/build/Bonmin/include/coin/ClpObjective.hpp
deleted file mode 100644
index f98903a..0000000
--- a/build/Bonmin/include/coin/ClpObjective.hpp
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@@ -1,134 +0,0 @@
-/* $Id: ClpObjective.hpp 1825 2011-11-20 16:02:57Z forrest $ */
-// Copyright (C) 2002, International Business Machines
-// Corporation and others.  All Rights Reserved.
-// This code is licensed under the terms of the Eclipse Public License (EPL).
-
-#ifndef ClpObjective_H
-#define ClpObjective_H
-
-
-//#############################################################################
-class ClpSimplex;
-class ClpModel;
-
-/** Objective Abstract Base Class
-
-Abstract Base Class for describing an objective function
-
-*/
-class ClpObjective  {
-
-public:
-
-     ///@name Stuff
-     //@{
-
-     /** Returns gradient.  If Linear then solution may be NULL,
-         also returns an offset (to be added to current one)
-         If refresh is false then uses last solution
-         Uses model for scaling
-         includeLinear 0 - no, 1 as is, 2 as feasible
-     */
-     virtual double * gradient(const ClpSimplex * model,
-                               const double * solution,
-                               double & offset, bool refresh,
-                               int includeLinear = 2) = 0;
-     /** Returns reduced gradient.Returns an offset (to be added to current one).
-     */
-     virtual double reducedGradient(ClpSimplex * model, double * region,
-                                    bool useFeasibleCosts) = 0;
-     /** Returns step length which gives minimum of objective for
-         solution + theta * change vector up to maximum theta.
-
-         arrays are numberColumns+numberRows
-         Also sets current objective, predicted  and at maximumTheta
-     */
-     virtual double stepLength(ClpSimplex * model,
-                               const double * solution,
-                               const double * change,
-                               double maximumTheta,
-                               double & currentObj,
-                               double & predictedObj,
-                               double & thetaObj) = 0;
-     /// Return objective value (without any ClpModel offset) (model may be NULL)
-     virtual double objectiveValue(const ClpSimplex * model, const double * solution) const = 0;
-     /// Resize objective
-     virtual void resize(int newNumberColumns) = 0;
-     /// Delete columns in  objective
-     virtual void deleteSome(int numberToDelete, const int * which) = 0;
-     /// Scale objective
-     virtual void reallyScale(const double * columnScale) = 0;
-     /** Given a zeroed array sets nonlinear columns to 1.
-         Returns number of nonlinear columns
-      */
-     virtual int markNonlinear(char * which);
-     /// Say we have new primal solution - so may need to recompute
-     virtual void newXValues() {}
-     //@}
-
-
-     ///@name Constructors and destructors
-     //@{
-     /// Default Constructor
-     ClpObjective();
-
-     /// Copy constructor
-     ClpObjective(const ClpObjective &);
-
-     /// Assignment operator
-     ClpObjective & operator=(const ClpObjective& rhs);
-
-     /// Destructor
-     virtual ~ClpObjective ();
-
-     /// Clone
-     virtual ClpObjective * clone() const = 0;
-     /** Subset clone.  Duplicates are allowed
-         and order is as given.
-         Derived classes need not provide this as it may not always make
-         sense */
-     virtual ClpObjective * subsetClone (int numberColumns,
-                                         const int * whichColumns) const;
-
-     //@}
-
-     ///@name Other
-     //@{
-     /// Returns type (above 63 is extra information)
-     inline int type() const {
-          return type_;
-     }
-     /// Sets type (above 63 is extra information)
-     inline void setType(int value) {
-          type_ = value;
-     }
-     /// Whether activated
-     inline int activated() const {
-          return activated_;
-     }
-     /// Set whether activated
-     inline void setActivated(int value) {
-          activated_ = value;
-     }
-
-     /// Objective offset
-     inline double nonlinearOffset () const {
-          return offset_;
-     }
-     //@}
-
-     //---------------------------------------------------------------------------
-
-protected:
-     ///@name Protected member data
-     //@{
-     /// Value of non-linear part of objective
-     double offset_;
-     /// Type of objective - linear is 1
-     int type_;
-     /// Whether activated
-     int activated_;
-     //@}
-};
-
-#endif