Added linux shared libraries and header files for int and ecos functions

1 files changed, 197 insertions, 0 deletions

diff --git a/thirdparty/linux/include/coin/BonBranchingTQP.hpp b/thirdparty/linux/include/coin/BonBranchingTQP.hpp
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+// (C) Copyright International Business Machines Corporation and
+// Carnegie Mellon University 2006, 2008
+// All Rights Reserved.
+// This code is published under the Eclipse Public License.
+//
+// Authors :
+// Andreas Waechter, International Business Machines Corporation
+//                   (derived from BonTMINLP2TNLP.hpp)            12/22/2006
+
+#ifndef __BONBRANCHINGTQP_HPP__
+#define __BONBRANCHINGTQP_HPP__
+
+#include "BonTMINLP2TNLP.hpp"
+
+namespace Bonmin
+{
+  /** This is an adapter class that converts a TMINLP2TNLP object into
+   *  a TNLP, which is now just a QP.  The QP is the linear quadratic
+   *  of the TNLP at the optimal point.  The purpose of the
+   *  BranchingTQP is that it is used in a strong-branching framework,
+   *  strong branching is only done for the QP approximation of the
+   *  TNLP, not on the TNLP itself.  The variables of the QP are the
+   *  displacement from the reference point.
+   */
+  class BranchingTQP : public Ipopt::TNLP
+  {
+  public:
+    /**@name Constructors/Destructors */
+    //@{
+    BranchingTQP(Ipopt::SmartPtr<TMINLP2TNLP> tminlp2tnlp);
+
+    /** Default destructor */
+    virtual ~BranchingTQP();
+    //@}
+
+    /**@name methods to gather information about the NLP, only those
+     *  that need to be overloaded from TNLP */
+    //@{
+    virtual bool get_nlp_info(Ipopt::Index& n, Ipopt::Index& m, Ipopt::Index& nnz_jac_g,
+                              Ipopt::Index& nnz_h_lag, Ipopt::TNLP::IndexStyleEnum& index_style);
+    virtual bool get_bounds_info(Ipopt::Index n, Ipopt::Number* x_l, Ipopt::Number* x_u,
+                                 Ipopt::Index m, Ipopt::Number* g_l, Ipopt::Number* g_u);
+    /** Returns the constraint linearity.  array should be alocated
+     * with length at least n. Since this is a QP, all constraints are
+     * linear.*/
+    virtual bool get_constraints_linearity(Ipopt::Index m, LinearityType* const_types);
+    /** Method called by Ipopt to get the starting point. The bools
+     *  init_x and init_lambda are both inputs and outputs. As inputs,
+     *  they indicate whether or not the algorithm wants you to
+     *  initialize x and lambda respectively. If, for some reason, the
+     *  algorithm wants you to initialize these and you cannot, set
+     *  the respective bool to false.
+     */
+    virtual bool get_starting_point(Ipopt::Index n, bool init_x, Ipopt::Number* x,
+        bool init_z, Ipopt::Number* z_L, Ipopt::Number* z_U,
+        Ipopt::Index m, bool init_lambda,
+        Ipopt::Number* lambda);
+
+    /** Returns the value of the objective function in x*/
+    virtual bool eval_f(Ipopt::Index n, const Ipopt::Number* x, bool new_x,
+        Ipopt::Number& obj_value);
+
+    /** Returns the vector of the gradient of
+     *  the objective w.r.t. x */
+    virtual bool eval_grad_f(Ipopt::Index n, const Ipopt::Number* x, bool new_x,
+        Ipopt::Number* grad_f);
+
+    /** Returns the vector of constraint values in x*/
+    virtual bool eval_g(Ipopt::Index n, const Ipopt::Number* x, bool new_x,
+        Ipopt::Index m, Ipopt::Number* g);
+
+    /** Returns the jacobian of the
+     *  constraints. The vectors iRow and jCol only need to be set
+     *  once. The first call is used to set the structure only (iRow
+     *  and jCol will be non-NULL, and values will be NULL) For
+     *  subsequent calls, iRow and jCol will be NULL. */
+    virtual bool eval_jac_g(Ipopt::Index n, const Ipopt::Number* x, bool new_x,
+        Ipopt::Index m, Ipopt::Index nele_jac, Ipopt::Index* iRow,
+        Ipopt::Index *jCol, Ipopt::Number* values);
+
+    /** Return the hessian of the
+     *  lagrangian. The vectors iRow and jCol only need to be set once
+     *  (during the first call). The first call is used to set the
+     *  structure only (iRow and jCol will be non-NULL, and values
+     *  will be NULL) For subsequent calls, iRow and jCol will be
+     *  NULL. This matrix is symmetric - specify the lower diagonal
+     *  only */
+    virtual bool eval_h(Ipopt::Index n, const Ipopt::Number* x, bool new_x,
+        Ipopt::Number obj_factor, Ipopt::Index m, const Ipopt::Number* lambda,
+        bool new_lambda, Ipopt::Index nele_hess,
+        Ipopt::Index* iRow, Ipopt::Index* jCol, Ipopt::Number* values);
+    virtual void finalize_solution(Ipopt::SolverReturn status,
+                                   Ipopt::Index n, const Ipopt::Number* x, const Ipopt::Number* z_L, const Ipopt::Number* z_U,
+                                   Ipopt::Index m, const Ipopt::Number* g, const Ipopt::Number* lambda,
+                                   Ipopt::Number obj_value,
+                                   const Ipopt::IpoptData* ip_data,
+                                   Ipopt::IpoptCalculatedQuantities* ip_cq);
+    //@}
+
+    /** Accessor Methods for QP data */
+    //@{
+    const Ipopt::Number ObjVal()
+    {
+      return obj_val_;
+    }
+    const Ipopt::Number* ObjGrad()
+    {
+      return obj_grad_;
+    }
+    const Ipopt::Number* ObjHessVals()
+    {
+      return obj_hess_;
+    }
+    const Ipopt::Index* ObjHessIRow()
+    {
+      return obj_hess_irow_;
+    }
+    const Ipopt::Index* ObjHessJCol()
+    {
+      return obj_hess_jcol_;
+    }
+    const Ipopt::Number* ConstrRhs()
+    {
+      return g_vals_;
+    }
+    const Ipopt::Number* ConstrJacVals()
+    {
+      return g_jac_;
+    }
+    const Ipopt::Index* ConstrJacIRow()
+    {
+      return g_jac_irow_;
+    }
+    const Ipopt::Index* ConstrJacJCol()
+    {
+      return g_jac_jcol_;
+    }
+    //@}
+
+  private:
+    /**@name Default Compiler Generated Methods
+     * (Hidden to avoid implicit creation/calling).
+     * These methods are not implemented and
+     * we do not want the compiler to implement
+     * them for us, so we declare them private
+     * and do not define them. This ensures that
+     * they will not be implicitly created/called. */
+    //@{
+    /** Default Constructor */
+    BranchingTQP();
+
+    /** Copy Constructor */
+    BranchingTQP(const BranchingTQP&);
+
+    /** Overloaded Equals Operator */
+    void operator=(const BranchingTQP&);
+    //@}
+
+    /** @name static information about the QP's constraints and
+     *  objective function */
+    //@{
+    Ipopt::Number obj_val_;
+    Ipopt::Number* obj_grad_;
+    Ipopt::Number* obj_hess_;
+    Ipopt::Index* obj_hess_irow_;
+    Ipopt::Index* obj_hess_jcol_;
+    Ipopt::Number* g_vals_;
+    Ipopt::Number* g_jac_;
+    Ipopt::Index* g_jac_irow_;
+    Ipopt::Index* g_jac_jcol_;
+    //@}
+
+    /** @name Data from the MINLP */
+    //@{
+    Ipopt::Index n_;
+    Ipopt::Index m_;
+    Ipopt::Index nnz_jac_g_;
+    Ipopt::Index nnz_h_lag_;
+    Ipopt::TNLP::IndexStyleEnum index_style_;
+    //@}
+
+    /** Copy of original x_sol_.  x_sol_ is changed after the first QP
+     *  has been solved once. */
+    Ipopt::Number* x_sol_copy_;
+
+    /** Copy of original duals_sol_.  duals_sol_ is changed after the
+     *  first QP has been solved once. */
+    Ipopt::Number* duals_sol_copy_;
+
+    /** Pointer to the TMINLP2TNLP model which stores the bounds
+     *  information */
+    Ipopt::SmartPtr<TMINLP2TNLP> tminlp2tnlp_;
+  };
+
+} // namespace Ipopt
+
+#endif