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diff --git a/newstructure/thirdparty/linux/include/coin/ClpAmplObjective.hpp b/newstructure/thirdparty/linux/include/coin/ClpAmplObjective.hpp
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+++ b/newstructure/thirdparty/linux/include/coin/ClpAmplObjective.hpp
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+/* $Id: ClpAmplObjective.hpp 1899 2013-04-09 18:12:08Z stefan $ */
+// Copyright (C) 2007, International Business Machines
+// Corporation and others.  All Rights Reserved.
+// This code is licensed under the terms of the Eclipse Public License (EPL).
+
+#ifndef ClpAmplObjective_H
+#define ClpAmplObjective_H
+
+#include "ClpObjective.hpp"
+#include "CoinPackedMatrix.hpp"
+
+//#############################################################################
+
+/** Ampl Objective Class
+
+*/
+
+class ClpAmplObjective : public ClpObjective {
+
+public:
+
+    ///@name Stuff
+    //@{
+
+    /** Returns gradient.  If Ampl 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);
+    /// Resize objective
+    /** Returns reduced gradient.Returns an offset (to be added to current one).
+    */
+    virtual double reducedGradient(ClpSimplex * model, double * region,
+                                   bool useFeasibleCosts);
+    /** 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);
+    /// Return objective value (without any ClpModel offset) (model may be NULL)
+    virtual double objectiveValue(const ClpSimplex * model, const double * solution) const ;
+    virtual void resize(int newNumberColumns) ;
+    /// Delete columns in  objective
+    virtual void deleteSome(int numberToDelete, const int * which) ;
+    /// Scale objective
+    virtual void reallyScale(const double * columnScale) ;
+    /** 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
+    ClpAmplObjective();
+
+    /// Constructor from ampl info
+    ClpAmplObjective(void * amplInfo);
+
+    /** Copy constructor .
+    */
+    ClpAmplObjective(const ClpAmplObjective & rhs);
+
+    /// Assignment operator
+    ClpAmplObjective & operator=(const ClpAmplObjective& rhs);
+
+    /// Destructor
+    virtual ~ClpAmplObjective ();
+
+    /// Clone
+    virtual ClpObjective * clone() const;
+
+    //@}
+    ///@name Gets and sets
+    //@{
+    /// Linear objective
+    double * linearObjective() const;
+    //@}
+
+    //---------------------------------------------------------------------------
+
+private:
+    ///@name Private member data
+    /// Saved offset
+    double offset_;
+    /// Ampl info
+    void * amplObjective_;
+    /// Objective
+    double * objective_;
+    /// Gradient
+    double * gradient_;
+    //@}
+};
+
+#endif
+