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diff --git a/build/Bonmin/include/coin/ClpObjective.hpp b/build/Bonmin/include/coin/ClpObjective.hpp
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+/* $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