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diff --git a/newstructure/thirdparty/linux/include/coin/OsiClpSolverInterface.hpp b/newstructure/thirdparty/linux/include/coin/OsiClpSolverInterface.hpp
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--- a/newstructure/thirdparty/linux/include/coin/OsiClpSolverInterface.hpp
+++ /dev/null
@@ -1,1509 +0,0 @@
-// $Id$
-// Copyright (C) 2000, International Business Machines
-// Corporation and others.  All Rights Reserved.
-// This code is licensed under the terms of the Eclipse Public License (EPL).
-
-
-#ifndef OsiClpSolverInterface_H
-#define OsiClpSolverInterface_H
-
-#include <string>
-#include <cfloat>
-#include <map>
-
-#include "ClpSimplex.hpp"
-#include "ClpLinearObjective.hpp"
-#include "CoinPackedMatrix.hpp"
-#include "OsiSolverInterface.hpp"
-#include "CoinWarmStartBasis.hpp"
-#include "ClpEventHandler.hpp"
-#include "ClpNode.hpp"
-#include "CoinIndexedVector.hpp"
-#include "CoinFinite.hpp"
-
-class OsiRowCut;
-class OsiClpUserSolver;
-class OsiClpDisasterHandler;
-class CoinSet;
-static const double OsiClpInfinity = COIN_DBL_MAX;
-
-//#############################################################################
-
-/** Clp Solver Interface
-    
-Instantiation of OsiClpSolverInterface for the Model Algorithm.
-
-*/
-
-class OsiClpSolverInterface :
-  virtual public OsiSolverInterface {
-  friend void OsiClpSolverInterfaceUnitTest(const std::string & mpsDir, const std::string & netlibDir);
-  
-public:
-  //---------------------------------------------------------------------------
-  /**@name Solve methods */
-  //@{
-  /// Solve initial LP relaxation 
-  virtual void initialSolve();
-  
-  /// Resolve an LP relaxation after problem modification
-  virtual void resolve();
-  
-  /// Resolve an LP relaxation after problem modification (try GUB)
-  virtual void resolveGub(int needed);
-  
-  /// Invoke solver's built-in enumeration algorithm
-  virtual void branchAndBound();
-
-  /** Solve when primal column and dual row solutions are near-optimal
-      options - 0 no presolve (use primal and dual)
-                1 presolve (just use primal)
-		2 no presolve (just use primal)
-      basis -   0 use all slack basis
-                1 try and put some in basis
-  */
-  void crossover(int options,int basis);
-  //@}
-  
-  /*! @name OsiSimplexInterface methods
-      \brief Methods for the Osi Simplex API.
-
-    The current implementation should work for both minimisation and
-    maximisation in mode 1 (tableau access). In mode 2 (single pivot), only
-    minimisation is supported as of 100907.
-  */
-  //@{
-  /** \brief Simplex API capability.
-  
-    Returns
-     - 0 if no simplex API
-     - 1 if can just do getBInv etc
-     - 2 if has all OsiSimplex methods
-  */
-  virtual int canDoSimplexInterface() const;
-
-  /*! \brief Enables simplex mode 1 (tableau access)
-  
-    Tells solver that calls to getBInv etc are about to take place.
-    Underlying code may need mutable as this may be called from 
-    CglCut::generateCuts which is const.  If that is too horrific then
-    each solver e.g. BCP or CBC will have to do something outside
-    main loop.
-  */
-  virtual void enableFactorization() const;
-
-  /*! \brief Undo any setting changes made by #enableFactorization */
-  virtual void disableFactorization() const;
-  
-  /** Returns true if a basis is available
-      AND problem is optimal.  This should be used to see if
-      the BInvARow type operations are possible and meaningful. 
-  */
-  virtual bool basisIsAvailable() const;
-  
-  /** The following two methods may be replaced by the
-      methods of OsiSolverInterface using OsiWarmStartBasis if:
-      1. OsiWarmStartBasis resize operation is implemented
-      more efficiently and
-      2. It is ensured that effects on the solver are the same
-      
-      Returns a basis status of the structural/artificial variables 
-      At present as warm start i.e 0 free, 1 basic, 2 upper, 3 lower
-      
-      NOTE  artificials are treated as +1 elements so for <= rhs
-      artificial will be at lower bound if constraint is tight
-      
-      This means that Clpsimplex flips artificials as it works
-      in terms of row activities
-  */
-  virtual void getBasisStatus(int* cstat, int* rstat) const;
-  
-  /** Set the status of structural/artificial variables and
-      factorize, update solution etc 
-      
-      NOTE  artificials are treated as +1 elements so for <= rhs
-      artificial will be at lower bound if constraint is tight
-      
-      This means that Clpsimplex flips artificials as it works
-      in terms of row activities
-      Returns 0 if OK, 1 if problem is bad e.g. duplicate elements, too large ...
-  */
-  virtual int setBasisStatus(const int* cstat, const int* rstat);
-  
-  ///Get the reduced gradient for the cost vector c 
-  virtual void getReducedGradient(double* columnReducedCosts, 
-				  double * duals,
-				  const double * c) const ;
-  
-  ///Get a row of the tableau (slack part in slack if not NULL)
-  virtual void getBInvARow(int row, double* z, double * slack=NULL) const;
-  
-  /** Get a row of the tableau (slack part in slack if not NULL)
-      If keepScaled is true then scale factors not applied after so
-      user has to use coding similar to what is in this method
-  */
-  virtual void getBInvARow(int row, CoinIndexedVector * z, CoinIndexedVector * slack=NULL,
-			   bool keepScaled=false) const;
-  
-  ///Get a row of the basis inverse
-  virtual void getBInvRow(int row, double* z) const;
-  
-  ///Get a column of the tableau
-  virtual void getBInvACol(int col, double* vec) const ;
-  
-  ///Get a column of the tableau
-  virtual void getBInvACol(int col, CoinIndexedVector * vec) const ;
-  
-  /** Update (i.e. ftran) the vector passed in.
-      Unscaling is applied after - can't be applied before
-  */
-  
-  virtual void getBInvACol(CoinIndexedVector * vec) const ;
-  
-  ///Get a column of the basis inverse
-  virtual void getBInvCol(int col, double* vec) const ;
-  
-  /** Get basic indices (order of indices corresponds to the
-      order of elements in a vector retured by getBInvACol() and
-      getBInvCol()).
-  */
-  virtual void getBasics(int* index) const;
-
-  /*! \brief Enables simplex mode 2 (individual pivot control)
-
-     This method is supposed to ensure that all typical things (like
-     reduced costs, etc.) are updated when individual pivots are executed
-     and can be queried by other methods.
-  */
-  virtual void enableSimplexInterface(bool doingPrimal);
-  /// Copy across enabled stuff from one solver to another
-  void copyEnabledSuff(OsiClpSolverInterface & rhs);
-  
-  /*! \brief Undo setting changes made by #enableSimplexInterface */
-  virtual void disableSimplexInterface();
-  /// Copy across enabled stuff from one solver to another
-  void copyEnabledStuff(ClpSimplex & rhs);
-
-  /** Perform a pivot by substituting a colIn for colOut in the basis. 
-      The status of the leaving variable is given in statOut. Where
-      1 is to upper bound, -1 to lower bound
-      Return code is 0 for okay,
-      1 if inaccuracy forced re-factorization (should be okay) and
-      -1 for singular factorization
-  */
-  virtual int pivot(int colIn, int colOut, int outStatus);
-  
-  /** Obtain a result of the primal pivot 
-      Outputs: colOut -- leaving column, outStatus -- its status,
-      t -- step size, and, if dx!=NULL, *dx -- primal ray direction.
-      Inputs: colIn -- entering column, sign -- direction of its change (+/-1).
-      Both for colIn and colOut, artificial variables are index by
-      the negative of the row index minus 1.
-      Return code (for now): 0 -- leaving variable found, 
-      -1 -- everything else?
-      Clearly, more informative set of return values is required 
-      Primal and dual solutions are updated
-  */
-  virtual int primalPivotResult(int colIn, int sign, 
-				int& colOut, int& outStatus, 
-				double& t, CoinPackedVector* dx);
-  
-  /** Obtain a result of the dual pivot (similar to the previous method)
-      Differences: entering variable and a sign of its change are now
-      the outputs, the leaving variable and its statuts -- the inputs
-      If dx!=NULL, then *dx contains dual ray
-      Return code: same
-  */
-  virtual int dualPivotResult(int& colIn, int& sign, 
-			      int colOut, int outStatus, 
-			      double& t, CoinPackedVector* dx);
-  
-  
-  //@}
-  //---------------------------------------------------------------------------
-  /**@name Parameter set/get methods
-     
-  The set methods return true if the parameter was set to the given value,
-  false otherwise. There can be various reasons for failure: the given
-  parameter is not applicable for the solver (e.g., refactorization
-  frequency for the clp algorithm), the parameter is not yet implemented
-  for the solver or simply the value of the parameter is out of the range
-  the solver accepts. If a parameter setting call returns false check the
-  details of your solver.
-  
-  The get methods return true if the given parameter is applicable for the
-  solver and is implemented. In this case the value of the parameter is
-  returned in the second argument. Otherwise they return false.
-  */
-  //@{
-  // Set an integer parameter
-  bool setIntParam(OsiIntParam key, int value);
-  // Set an double parameter
-  bool setDblParam(OsiDblParam key, double value);
-  // Set a string parameter
-  bool setStrParam(OsiStrParam key, const std::string & value);
-  // Get an integer parameter
-  bool getIntParam(OsiIntParam key, int& value) const;
-  // Get an double parameter
-  bool getDblParam(OsiDblParam key, double& value) const;
-  // Get a string parameter
-  bool getStrParam(OsiStrParam key, std::string& value) const;
-  // Set a hint parameter - overrides OsiSolverInterface
-  virtual bool setHintParam(OsiHintParam key, bool yesNo=true,
-                            OsiHintStrength strength=OsiHintTry,
-                            void * otherInformation=NULL);
-  //@}
-  
-  //---------------------------------------------------------------------------
-  ///@name Methods returning info on how the solution process terminated
-  //@{
-  /// Are there a numerical difficulties?
-  virtual bool isAbandoned() const;
-  /// Is optimality proven?
-  virtual bool isProvenOptimal() const;
-  /// Is primal infeasiblity proven?
-  virtual bool isProvenPrimalInfeasible() const;
-  /// Is dual infeasiblity proven?
-  virtual bool isProvenDualInfeasible() const;
-  /// Is the given primal objective limit reached?
-  virtual bool isPrimalObjectiveLimitReached() const;
-  /// Is the given dual objective limit reached?
-  virtual bool isDualObjectiveLimitReached() const;
-  /// Iteration limit reached?
-  virtual bool isIterationLimitReached() const;
-  //@}
-  
-  //---------------------------------------------------------------------------
-  /**@name WarmStart related methods */
-  //@{
-  
-  /*! \brief Get an empty warm start object
-    
-  This routine returns an empty CoinWarmStartBasis object. Its purpose is
-  to provide a way to give a client a warm start basis object of the
-  appropriate type, which can resized and modified as desired.
-  */
-  
-  virtual CoinWarmStart *getEmptyWarmStart () const;
-  
-  /// Get warmstarting information
-  virtual CoinWarmStart* getWarmStart() const;
-  /// Get warmstarting information
-  inline CoinWarmStartBasis* getPointerToWarmStart() 
-  { return &basis_;}
-  /// Get warmstarting information
-  inline const CoinWarmStartBasis* getConstPointerToWarmStart() const 
-  { return &basis_;}
-  /** Set warmstarting information. Return true/false depending on whether
-      the warmstart information was accepted or not. */
-  virtual bool setWarmStart(const CoinWarmStart* warmstart);
-  /** \brief Get warm start information.
-      
-      Return warm start information for the current state of the solver
-      interface. If there is no valid warm start information, an empty warm
-      start object wil be returned.  This does not necessarily create an 
-      object - may just point to one.  must Delete set true if user
-      should delete returned object.
-      OsiClp version always returns pointer and false.
-  */
-  virtual CoinWarmStart* getPointerToWarmStart(bool & mustDelete) ;
-
-  /// Set column status in ClpSimplex and warmStart
-  void setColumnStatus(int iColumn, ClpSimplex::Status status);
-
-  //@}
-  
-  //---------------------------------------------------------------------------
-  /**@name Hotstart related methods (primarily used in strong branching).
-     The user can create a hotstart (a snapshot) of the optimization process
-     then reoptimize over and over again always starting from there.<br>
-     <strong>NOTE</strong>: between hotstarted optimizations only
-     bound changes are allowed. */
-  //@{
-  /// Create a hotstart point of the optimization process
-  virtual void markHotStart();
-  /// Optimize starting from the hotstart
-  virtual void solveFromHotStart();
-  /// Delete the snapshot
-  virtual void unmarkHotStart();
-  /** Start faster dual - returns negative if problems 1 if infeasible,
-      Options to pass to solver
-      1 - create external reduced costs for columns
-      2 - create external reduced costs for rows
-      4 - create external row activity (columns always done)
-      Above only done if feasible
-      When set resolve does less work
-  */
-  int startFastDual(int options);
-  /// Stop fast dual
-  void stopFastDual();
-  /// Sets integer tolerance and increment
-  void setStuff(double tolerance,double increment);
-  /// Return a conflict analysis cut from small model
-  OsiRowCut * smallModelCut(const double * originalLower, const double * originalUpper,
-			    int numberRowsAtContinuous,const int * whichGenerator,
-			    int typeCut=0);
-  /** Return a conflict analysis cut from model
-      If type is 0 then genuine cut, if 1 then only partially processed
-   */
-  OsiRowCut * modelCut(const double * originalLower, const double * originalUpper,
-		       int numberRowsAtContinuous,const int * whichGenerator,
-		       int typeCut=0);
-  //@}
-  
-  //---------------------------------------------------------------------------
-  /**@name Problem information methods
-     
-  These methods call the solver's query routines to return
-  information about the problem referred to by the current object.
-  Querying a problem that has no data associated with it result in
-  zeros for the number of rows and columns, and NULL pointers from
-  the methods that return vectors.
-  
-  Const pointers returned from any data-query method are valid as
-  long as the data is unchanged and the solver is not called.
-  */
-  //@{
-  /**@name Methods related to querying the input data */
-  //@{
-  /// Get number of columns
-  virtual int getNumCols() const {
-    return modelPtr_->numberColumns(); }
-  
-  /// Get number of rows
-  virtual int getNumRows() const {
-    return modelPtr_->numberRows(); }
-  
-  /// Get number of nonzero elements
-  virtual int getNumElements() const {
-    int retVal = 0;
-    const CoinPackedMatrix * matrix =modelPtr_->matrix();
-    if ( matrix != NULL ) retVal=matrix->getNumElements();
-    return retVal; }
-
-    /// Return name of row if one exists or Rnnnnnnn
-    /// maxLen is currently ignored and only there to match the signature from the base class! 
-    virtual std::string getRowName(int rowIndex,
-				   unsigned maxLen = static_cast<unsigned>(std::string::npos)) const;
-    
-    /// Return name of column if one exists or Cnnnnnnn
-    /// maxLen is currently ignored and only there to match the signature from the base class! 
-    virtual std::string getColName(int colIndex,
-				   unsigned maxLen = static_cast<unsigned>(std::string::npos)) const;
-    
-  
-  /// Get pointer to array[getNumCols()] of column lower bounds
-  virtual const double * getColLower() const { return modelPtr_->columnLower(); }
-  
-  /// Get pointer to array[getNumCols()] of column upper bounds
-  virtual const double * getColUpper() const { return modelPtr_->columnUpper(); }
-  
-  /** Get pointer to array[getNumRows()] of row constraint senses.
-      <ul>
-      <li>'L' <= constraint
-      <li>'E' =  constraint
-      <li>'G' >= constraint
-      <li>'R' ranged constraint
-      <li>'N' free constraint
-      </ul>
-  */
-  virtual const char * getRowSense() const;
-  
-  /** Get pointer to array[getNumRows()] of rows right-hand sides
-      <ul>
-      <li> if rowsense()[i] == 'L' then rhs()[i] == rowupper()[i]
-      <li> if rowsense()[i] == 'G' then rhs()[i] == rowlower()[i]
-      <li> if rowsense()[i] == 'R' then rhs()[i] == rowupper()[i]
-      <li> if rowsense()[i] == 'N' then rhs()[i] == 0.0
-      </ul>
-  */
-  virtual const double * getRightHandSide() const ;
-  
-  /** Get pointer to array[getNumRows()] of row ranges.
-      <ul>
-      <li> if rowsense()[i] == 'R' then
-      rowrange()[i] == rowupper()[i] - rowlower()[i]
-      <li> if rowsense()[i] != 'R' then
-      rowrange()[i] is undefined
-      </ul>
-  */
-  virtual const double * getRowRange() const ;
-  
-  /// Get pointer to array[getNumRows()] of row lower bounds
-  virtual const double * getRowLower() const { return modelPtr_->rowLower(); }
-  
-  /// Get pointer to array[getNumRows()] of row upper bounds
-  virtual const double * getRowUpper() const { return modelPtr_->rowUpper(); }
-  
-  /// Get pointer to array[getNumCols()] of objective function coefficients
-  virtual const double * getObjCoefficients() const 
-  { if (fakeMinInSimplex_)
-      return linearObjective_ ;
-    else
-      return modelPtr_->objective(); }
-  
-  /// Get objective function sense (1 for min (default), -1 for max)
-  virtual double getObjSense() const 
-  { return ((fakeMinInSimplex_)?-modelPtr_->optimizationDirection():
-  				 modelPtr_->optimizationDirection()); }
-  
-  /// Return true if column is continuous
-  virtual bool isContinuous(int colNumber) const;
-  /// Return true if variable is binary
-  virtual bool isBinary(int colIndex) const;
-  
-  /** Return true if column is integer.
-      Note: This function returns true if the the column
-      is binary or a general integer.
-  */
-  virtual bool isInteger(int colIndex) const;
-  
-  /// Return true if variable is general integer
-  virtual bool isIntegerNonBinary(int colIndex) const;
-  
-  /// Return true if variable is binary and not fixed at either bound
-  virtual bool isFreeBinary(int colIndex) const; 
-  /**  Return array of column length
-       0 - continuous
-       1 - binary (may get fixed later)
-       2 - general integer (may get fixed later)
-  */
-  virtual const char * getColType(bool refresh=false) const;
-  
-  /** Return true if column is integer but does not have to
-      be declared as such.
-      Note: This function returns true if the the column
-      is binary or a general integer.
-  */
-  bool isOptionalInteger(int colIndex) const;
-  /** Set the index-th variable to be an optional integer variable */
-  void setOptionalInteger(int index);
-  
-  /// Get pointer to row-wise copy of matrix
-  virtual const CoinPackedMatrix * getMatrixByRow() const;
-  
-  /// Get pointer to column-wise copy of matrix
-  virtual const CoinPackedMatrix * getMatrixByCol() const;
-  
-  /// Get pointer to mutable column-wise copy of matrix
-  virtual CoinPackedMatrix * getMutableMatrixByCol() const;
-  
-    /// Get solver's value for infinity
-  virtual double getInfinity() const { return OsiClpInfinity; }
-  //@}
-  
-  /**@name Methods related to querying the solution */
-  //@{
-  /// Get pointer to array[getNumCols()] of primal solution vector
-  virtual const double * getColSolution() const; 
-  
-  /// Get pointer to array[getNumRows()] of dual prices
-  virtual const double * getRowPrice() const;
-  
-  /// Get a pointer to array[getNumCols()] of reduced costs
-  virtual const double * getReducedCost() const; 
-  
-  /** Get pointer to array[getNumRows()] of row activity levels (constraint
-      matrix times the solution vector */
-  virtual const double * getRowActivity() const; 
-  
-  /// Get objective function value
-  virtual double getObjValue() const;
-  
-  /** Get how many iterations it took to solve the problem (whatever
-      "iteration" mean to the solver. */
-  virtual int getIterationCount() const 
-  { return modelPtr_->numberIterations(); }
-  
-  /** Get as many dual rays as the solver can provide. (In case of proven
-      primal infeasibility there should be at least one.)
-
-      The first getNumRows() ray components will always be associated with
-      the row duals (as returned by getRowPrice()). If \c fullRay is true,
-      the final getNumCols() entries will correspond to the ray components
-      associated with the nonbasic variables. If the full ray is requested
-      and the method cannot provide it, it will throw an exception.
-
-      <strong>NOTE for implementers of solver interfaces:</strong> <br>
-      The double pointers in the vector should point to arrays of length
-      getNumRows() and they should be allocated via new[]. <br>
-      
-      <strong>NOTE for users of solver interfaces:</strong> <br>
-      It is the user's responsibility to free the double pointers in the
-      vector using delete[].
-  */
-  virtual std::vector<double*> getDualRays(int maxNumRays,
-					   bool fullRay = false) const;
-  /** Get as many primal rays as the solver can provide. (In case of proven
-      dual infeasibility there should be at least one.)
-      
-      <strong>NOTE for implementers of solver interfaces:</strong> <br>
-      The double pointers in the vector should point to arrays of length
-      getNumCols() and they should be allocated via new[]. <br>
-      
-      <strong>NOTE for users of solver interfaces:</strong> <br>
-      It is the user's responsibility to free the double pointers in the
-      vector using delete[].
-  */
-  virtual std::vector<double*> getPrimalRays(int maxNumRays) const;
-  
-  //@}
-  //@}
-  
-  //---------------------------------------------------------------------------
-  
-  /**@name Problem modifying methods */
-  //@{
-  //-------------------------------------------------------------------------
-  /**@name Changing bounds on variables and constraints */
-  //@{
-  /** Set an objective function coefficient */
-  virtual void setObjCoeff( int elementIndex, double elementValue );
-  
-  /** Set a single column lower bound<br>
-      Use -DBL_MAX for -infinity. */
-  virtual void setColLower( int elementIndex, double elementValue );
-  
-  /** Set a single column upper bound<br>
-      Use DBL_MAX for infinity. */
-  virtual void setColUpper( int elementIndex, double elementValue );
-  
-  /** Set a single column lower and upper bound */
-  virtual void setColBounds( int elementIndex,
-                             double lower, double upper );
-  
-  /** Set the bounds on a number of columns simultaneously<br>
-      The default implementation just invokes setColLower() and
-      setColUpper() over and over again.
-      @param indexFirst,indexLast pointers to the beginning and after the
-      end of the array of the indices of the variables whose
-      <em>either</em> bound changes
-      @param boundList the new lower/upper bound pairs for the variables
-  */
-  virtual void setColSetBounds(const int* indexFirst,
-                               const int* indexLast,
-                               const double* boundList);
-  
-  /** Set a single row lower bound<br>
-      Use -DBL_MAX for -infinity. */
-  virtual void setRowLower( int elementIndex, double elementValue );
-  
-  /** Set a single row upper bound<br>
-      Use DBL_MAX for infinity. */
-  virtual void setRowUpper( int elementIndex, double elementValue ) ;
-  
-  /** Set a single row lower and upper bound */
-  virtual void setRowBounds( int elementIndex,
-                             double lower, double upper ) ;
-  
-  /** Set the type of a single row<br> */
-  virtual void setRowType(int index, char sense, double rightHandSide,
-                          double range);
-  
-  /** Set the bounds on a number of rows simultaneously<br>
-      The default implementation just invokes setRowLower() and
-      setRowUpper() over and over again.
-      @param indexFirst,indexLast pointers to the beginning and after the
-      end of the array of the indices of the constraints whose
-      <em>either</em> bound changes
-      @param boundList the new lower/upper bound pairs for the constraints
-  */
-  virtual void setRowSetBounds(const int* indexFirst,
-                               const int* indexLast,
-                               const double* boundList);
-  
-  /** Set the type of a number of rows simultaneously<br>
-      The default implementation just invokes setRowType()
-      over and over again.
-      @param indexFirst,indexLast pointers to the beginning and after the
-      end of the array of the indices of the constraints whose
-      <em>any</em> characteristics changes
-      @param senseList the new senses
-      @param rhsList   the new right hand sides
-      @param rangeList the new ranges
-  */
-  virtual void setRowSetTypes(const int* indexFirst,
-                              const int* indexLast,
-                              const char* senseList,
-                              const double* rhsList,
-                              const double* rangeList);
-    /** Set the objective coefficients for all columns
-	array [getNumCols()] is an array of values for the objective.
-        This defaults to a series of set operations and is here for speed.
-    */
-    virtual void setObjective(const double * array);
-
-    /** Set the lower bounds for all columns
-	array [getNumCols()] is an array of values for the objective.
-        This defaults to a series of set operations and is here for speed.
-    */
-    virtual void setColLower(const double * array);
-
-    /** Set the upper bounds for all columns
-	array [getNumCols()] is an array of values for the objective.
-        This defaults to a series of set operations and is here for speed.
-    */
-    virtual void setColUpper(const double * array);
-
-//    using OsiSolverInterface::setRowName ;
-    /// Set name of row
-//    virtual void setRowName(int rowIndex, std::string & name) ;
-    virtual void setRowName(int rowIndex, std::string  name) ;
-    
-//    using OsiSolverInterface::setColName ;
-    /// Set name of column
-//    virtual void setColName(int colIndex, std::string & name) ;
-    virtual void setColName(int colIndex, std::string  name) ;
-    
-  //@}
-  
-  //-------------------------------------------------------------------------
-  /**@name Integrality related changing methods */
-  //@{
-  /** Set the index-th variable to be a continuous variable */
-  virtual void setContinuous(int index);
-  /** Set the index-th variable to be an integer variable */
-  virtual void setInteger(int index);
-  /** Set the variables listed in indices (which is of length len) to be
-      continuous variables */
-  virtual void setContinuous(const int* indices, int len);
-  /** Set the variables listed in indices (which is of length len) to be
-      integer variables */
-  virtual void setInteger(const int* indices, int len);
-  /// Number of SOS sets
-  inline int numberSOS() const
-  { return numberSOS_;}
-  /// SOS set info
-  inline const CoinSet * setInfo() const
-  { return setInfo_;}
-  /** \brief Identify integer variables and SOS and create corresponding objects.
-  
-    Record integer variables and create an OsiSimpleInteger object for each
-    one.  All existing OsiSimpleInteger objects will be destroyed.
-    If the solver supports SOS then do the same for SOS.
-     If justCount then no objects created and we just store numberIntegers_
-    Returns number of SOS
-  */
-
-  virtual int findIntegersAndSOS(bool justCount);
-  //@}
-  
-  //-------------------------------------------------------------------------
-  /// Set objective function sense (1 for min (default), -1 for max,)
-  virtual void setObjSense(double s ) 
-  { modelPtr_->setOptimizationDirection( s < 0 ? -1 : 1); }
-  
-  /** Set the primal solution column values
-      
-  colsol[numcols()] is an array of values of the problem column
-  variables. These values are copied to memory owned by the
-  solver object or the solver.  They will be returned as the
-  result of colsol() until changed by another call to
-  setColsol() or by a call to any solver routine.  Whether the
-  solver makes use of the solution in any way is
-  solver-dependent. 
-  */
-  virtual void setColSolution(const double * colsol);
-  
-  /** Set dual solution vector
-      
-  rowprice[numrows()] is an array of values of the problem row
-  dual variables. These values are copied to memory owned by the
-  solver object or the solver.  They will be returned as the
-  result of rowprice() until changed by another call to
-  setRowprice() or by a call to any solver routine.  Whether the
-  solver makes use of the solution in any way is
-  solver-dependent. 
-  */
-  virtual void setRowPrice(const double * rowprice);
-  
-  //-------------------------------------------------------------------------
-  /**@name Methods to expand a problem.<br>
-     Note that if a column is added then by default it will correspond to a
-     continuous variable. */
-  //@{
-
-  //using OsiSolverInterface::addCol ;
-  /** */
-  virtual void addCol(const CoinPackedVectorBase& vec,
-                      const double collb, const double colub,   
-                      const double obj);
-  /*! \brief Add a named column (primal variable) to the problem.
-  */
-  virtual void addCol(const CoinPackedVectorBase& vec,
-		      const double collb, const double colub,   
-		      const double obj, std::string name) ;
-  /** Add a column (primal variable) to the problem. */
-  virtual void addCol(int numberElements, const int * rows, const double * elements,
-                      const double collb, const double colub,   
-                      const double obj) ;
-  /*! \brief Add a named column (primal variable) to the problem.
-   */
-  virtual void addCol(int numberElements,
-		      const int* rows, const double* elements,
-		      const double collb, const double colub,   
-		      const double obj, std::string name) ;
-  /** */
-  virtual void addCols(const int numcols,
-                       const CoinPackedVectorBase * const * cols,
-                       const double* collb, const double* colub,   
-                       const double* obj);
-  /**  */
-  virtual void addCols(const int numcols,
-		       const int * columnStarts, const int * rows, const double * elements,
-		       const double* collb, const double* colub,   
-		       const double* obj);
-  /** */
-  virtual void deleteCols(const int num, const int * colIndices);
-  
-  /** */
-  virtual void addRow(const CoinPackedVectorBase& vec,
-                      const double rowlb, const double rowub);
-  /** */
-    /*! \brief Add a named row (constraint) to the problem.
-    
-      The default implementation adds the row, then changes the name. This
-      can surely be made more efficient within an OsiXXX class.
-    */
-    virtual void addRow(const CoinPackedVectorBase& vec,
-			const double rowlb, const double rowub,
-			std::string name) ;
-  virtual void addRow(const CoinPackedVectorBase& vec,
-                      const char rowsen, const double rowrhs,   
-                      const double rowrng);
-  /** Add a row (constraint) to the problem. */
-  virtual void addRow(int numberElements, const int * columns, const double * element,
-		      const double rowlb, const double rowub) ;
-    /*! \brief Add a named row (constraint) to the problem.
-    */
-    virtual void addRow(const CoinPackedVectorBase& vec,
-			const char rowsen, const double rowrhs,   
-			const double rowrng, std::string name) ;
-  /** */
-  virtual void addRows(const int numrows,
-                       const CoinPackedVectorBase * const * rows,
-                       const double* rowlb, const double* rowub);
-  /** */
-  virtual void addRows(const int numrows,
-                       const CoinPackedVectorBase * const * rows,
-                       const char* rowsen, const double* rowrhs,   
-                       const double* rowrng);
-
-  /** */
-  virtual void addRows(const int numrows,
-		       const int * rowStarts, const int * columns, const double * element,
-		       const double* rowlb, const double* rowub);
-  ///
-  void modifyCoefficient(int row, int column, double newElement,
-			bool keepZero=false)
-	{modelPtr_->modifyCoefficient(row,column,newElement, keepZero);}
-
-  /** */
-  virtual void deleteRows(const int num, const int * rowIndices);
-  /**  If solver wants it can save a copy of "base" (continuous) model here
-   */
-  virtual void saveBaseModel() ;
-  /**  Strip off rows to get to this number of rows.
-       If solver wants it can restore a copy of "base" (continuous) model here
-  */
-  virtual void restoreBaseModel(int numberRows);
-  
-  //-----------------------------------------------------------------------
-  /** Apply a collection of row cuts which are all effective.
-      applyCuts seems to do one at a time which seems inefficient.
-  */
-  virtual void applyRowCuts(int numberCuts, const OsiRowCut * cuts);
-  /** Apply a collection of row cuts which are all effective.
-      applyCuts seems to do one at a time which seems inefficient.
-      This uses array of pointers
-  */
-  virtual void applyRowCuts(int numberCuts, const OsiRowCut ** cuts);
-    /** Apply a collection of cuts.
-
-	Only cuts which have an <code>effectiveness >= effectivenessLb</code>
-	are applied.
-	<ul>
-	  <li> ReturnCode.getNumineffective() -- number of cuts which were
-	       not applied because they had an
-	       <code>effectiveness < effectivenessLb</code>
-	  <li> ReturnCode.getNuminconsistent() -- number of invalid cuts
-	  <li> ReturnCode.getNuminconsistentWrtIntegerModel() -- number of
-	       cuts that are invalid with respect to this integer model
-	  <li> ReturnCode.getNuminfeasible() -- number of cuts that would
-	       make this integer model infeasible
-	  <li> ReturnCode.getNumApplied() -- number of integer cuts which
-	       were applied to the integer model
-	  <li> cs.size() == getNumineffective() +
-			    getNuminconsistent() +
-			    getNuminconsistentWrtIntegerModel() +
-			    getNuminfeasible() +
-			    getNumApplied()
-	</ul>
-    */
-    virtual ApplyCutsReturnCode applyCuts(const OsiCuts & cs,
-					  double effectivenessLb = 0.0);
-
-  //@}
-  //@}
-  
-  //---------------------------------------------------------------------------
-  
-public:
-  
-  /**@name Methods to input a problem */
-  //@{
-  /** Load in an problem by copying the arguments (the constraints on the
-      rows are given by lower and upper bounds). If a pointer is NULL then the
-      following values are the default:
-      <ul>
-      <li> <code>colub</code>: all columns have upper bound infinity
-      <li> <code>collb</code>: all columns have lower bound 0 
-      <li> <code>rowub</code>: all rows have upper bound infinity
-      <li> <code>rowlb</code>: all rows have lower bound -infinity
-      <li> <code>obj</code>: all variables have 0 objective coefficient
-      </ul>
-  */
-  virtual void loadProblem(const CoinPackedMatrix& matrix,
-                           const double* collb, const double* colub,   
-                           const double* obj,
-                           const double* rowlb, const double* rowub);
-  
-  /** Load in an problem by assuming ownership of the arguments (the
-      constraints on the rows are given by lower and upper bounds). For
-      default values see the previous method.  <br>
-      <strong>WARNING</strong>: The arguments passed to this method will be
-      freed using the C++ <code>delete</code> and <code>delete[]</code>
-      functions. 
-  */
-  virtual void assignProblem(CoinPackedMatrix*& matrix,
-    			     double*& collb, double*& colub, double*& obj,
-    			     double*& rowlb, double*& rowub);
-  
-  /** Load in an problem by copying the arguments (the constraints on the
-      rows are given by sense/rhs/range triplets). If a pointer is NULL then the
-      following values are the default:
-      <ul>
-      <li> <code>colub</code>: all columns have upper bound infinity
-      <li> <code>collb</code>: all columns have lower bound 0 
-      <li> <code>obj</code>: all variables have 0 objective coefficient
-      <li> <code>rowsen</code>: all rows are >=
-      <li> <code>rowrhs</code>: all right hand sides are 0
-      <li> <code>rowrng</code>: 0 for the ranged rows
-      </ul>
-  */
-  virtual void loadProblem(const CoinPackedMatrix& matrix,
-    			   const double* collb, const double* colub,
-    			   const double* obj,
-    			   const char* rowsen, const double* rowrhs,   
-    			   const double* rowrng);
-  
-  /** Load in an problem by assuming ownership of the arguments (the
-      constraints on the rows are given by sense/rhs/range triplets). For
-      default values see the previous method. <br>
-      <strong>WARNING</strong>: The arguments passed to this method will be
-      freed using the C++ <code>delete</code> and <code>delete[]</code>
-      functions. 
-  */
-  virtual void assignProblem(CoinPackedMatrix*& matrix,
-    			     double*& collb, double*& colub, double*& obj,
-    			     char*& rowsen, double*& rowrhs,
-    			     double*& rowrng);
-  
-  /** Just like the other loadProblem() methods except that the matrix is
-      given as a ClpMatrixBase. */
-  virtual void loadProblem(const ClpMatrixBase& matrix,
-			   const double* collb, const double* colub,
-			   const double* obj,
-			   const double* rowlb, const double* rowub) ;
-
-  /** Just like the other loadProblem() methods except that the matrix is
-      given in a standard column major ordered format (without gaps). */
-  virtual void loadProblem(const int numcols, const int numrows,
-                           const CoinBigIndex * start, const int* index,
-                           const double* value,
-                           const double* collb, const double* colub,   
-                           const double* obj,
-                           const double* rowlb, const double* rowub);
-  
-  /** Just like the other loadProblem() methods except that the matrix is
-      given in a standard column major ordered format (without gaps). */
-  virtual void loadProblem(const int numcols, const int numrows,
-                           const CoinBigIndex * start, const int* index,
-                           const double* value,
-                           const double* collb, const double* colub,   
-                           const double* obj,
-                           const char* rowsen, const double* rowrhs,   
-                           const double* rowrng);
-  /// This loads a model from a coinModel object - returns number of errors
-  virtual int loadFromCoinModel (  CoinModel & modelObject, bool keepSolution=false);
-
-  using OsiSolverInterface::readMps ;
-  /** Read an mps file from the given filename (defaults to Osi reader) - returns
-      number of errors (see OsiMpsReader class) */
-  virtual int readMps(const char *filename,
-                      const char *extension = "mps") ;
-  /** Read an mps file from the given filename returns
-      number of errors (see OsiMpsReader class) */
-  int readMps(const char *filename,bool keepNames,bool allowErrors);
-  /// Read an mps file
-  virtual int readMps (const char *filename, const char*extension,
-			int & numberSets, CoinSet ** & sets);
-  
-  /** Write the problem into an mps file of the given filename.
-      If objSense is non zero then -1.0 forces the code to write a
-      maximization objective and +1.0 to write a minimization one.
-      If 0.0 then solver can do what it wants */
-  virtual void writeMps(const char *filename,
-                        const char *extension = "mps",
-                        double objSense=0.0) const;
-  /** Write the problem into an mps file of the given filename,
-      names may be null.  formatType is
-      0 - normal
-      1 - extra accuracy 
-      2 - IEEE hex (later)
-      
-      Returns non-zero on I/O error
-  */
-  virtual int writeMpsNative(const char *filename, 
-                             const char ** rowNames, const char ** columnNames,
-                             int formatType=0,int numberAcross=2,
-                             double objSense=0.0) const ;
-  /// Read file in LP format (with names)
-  virtual int readLp(const char *filename, const double epsilon = 1e-5);
-  /** Write the problem into an Lp file of the given filename.
-      If objSense is non zero then -1.0 forces the code to write a
-      maximization objective and +1.0 to write a minimization one.
-      If 0.0 then solver can do what it wants.
-      This version calls writeLpNative with names */
-  virtual void writeLp(const char *filename,
-                       const char *extension = "lp",
-                       double epsilon = 1e-5,
-                       int numberAcross = 10,
-                       int decimals = 5,
-                       double objSense = 0.0,
-                       bool useRowNames = true) const;
-  /** Write the problem into the file pointed to by the parameter fp. 
-      Other parameters are similar to 
-      those of writeLp() with first parameter filename.
-  */
-  virtual void writeLp(FILE *fp,
-               double epsilon = 1e-5,
-               int numberAcross = 10,
-               int decimals = 5,
-               double objSense = 0.0,
-	       bool useRowNames = true) const;
-  /**
-     I (JJF) am getting annoyed because I can't just replace a matrix.
-     The default behavior of this is do nothing so only use where that would not matter
-     e.g. strengthening a matrix for MIP
-  */
-  virtual void replaceMatrixOptional(const CoinPackedMatrix & matrix);
-  /// And if it does matter (not used at present)
-  virtual void replaceMatrix(const CoinPackedMatrix & matrix) ;
-  //@}
-  
-  /**@name Message handling (extra for Clp messages).
-     Normally I presume you would want the same language.
-     If not then you could use underlying model pointer */
-  //@{
-  /** Pass in a message handler
-      
-      It is the client's responsibility to destroy a message handler installed
-      by this routine; it will not be destroyed when the solver interface is
-      destroyed. 
-  */
-  virtual void passInMessageHandler(CoinMessageHandler * handler);
-  /// Set language
-  void newLanguage(CoinMessages::Language language);
-  void setLanguage(CoinMessages::Language language)
-  {newLanguage(language);}
-  /// Set log level (will also set underlying solver's log level)
-  void setLogLevel(int value);
-  /// Create C++ lines to get to current state
-  void generateCpp( FILE * fp);
-  //@}
-  //---------------------------------------------------------------------------
-  
-  /**@name Clp specific public interfaces */
-  //@{
-  /// Get pointer to Clp model
-  ClpSimplex * getModelPtr() const ;
-  /// Set pointer to Clp model and return old
-  inline ClpSimplex * swapModelPtr(ClpSimplex * newModel)
-  { ClpSimplex * model = modelPtr_; modelPtr_=newModel;return model;}
-  /// Get special options
-  inline unsigned int specialOptions() const
-  { return specialOptions_;}
-  void setSpecialOptions(unsigned int value);
-  /// Last algorithm used , 1 = primal, 2 = dual other unknown
-  inline int lastAlgorithm() const
-  { return lastAlgorithm_;}
-  /// Set last algorithm used , 1 = primal, 2 = dual other unknown
-  inline void setLastAlgorithm(int value)
-  { lastAlgorithm_ = value;}
-  /// Get scaling action option
-  inline int cleanupScaling() const
-  { return cleanupScaling_;}
-  /** Set Scaling option
-      When scaling is on it is possible that the scaled problem
-      is feasible but the unscaled is not.  Clp returns a secondary
-      status code to that effect.  This option allows for a cleanup.
-      If you use it I would suggest 1.
-      This only affects actions when scaled optimal
-      0 - no action
-      1 - clean up using dual if primal infeasibility
-      2 - clean up using dual if dual infeasibility
-      3 - clean up using dual if primal or dual infeasibility
-      11,12,13 - as 1,2,3 but use primal
-  */
-  inline void setCleanupScaling(int value)
-  { cleanupScaling_=value;}
-  /** Get smallest allowed element in cut.
-      If smaller than this then ignored */
-  inline double smallestElementInCut() const
-  { return smallestElementInCut_;}
-  /** Set smallest allowed element in cut.
-      If smaller than this then ignored */
-  inline void setSmallestElementInCut(double value)
-  { smallestElementInCut_=value;}
-  /** Get smallest change in cut.
-      If (upper-lower)*element < this then element is
-      taken out and cut relaxed. 
-      (upper-lower) is taken to be at least 1.0 and
-      this is assumed >= smallestElementInCut_
-  */
-  inline double smallestChangeInCut() const
-  { return smallestChangeInCut_;}
-  /** Set smallest change in cut.
-      If (upper-lower)*element < this then element is
-      taken out and cut relaxed. 
-      (upper-lower) is taken to be at least 1.0 and
-      this is assumed >= smallestElementInCut_
-  */
-  inline void setSmallestChangeInCut(double value)
-  { smallestChangeInCut_=value;}
-  /// Pass in initial solve options
-  inline void setSolveOptions(const ClpSolve & options)
-  { solveOptions_ = options;}
-  /** Tighten bounds - lightweight or very lightweight
-      0 - normal, 1 lightweight but just integers, 2 lightweight and all
-  */
-  virtual int tightenBounds(int lightweight=0);
-  /// See if any integer variables make infeasible other way
-  int infeasibleOtherWay(char * whichWay);
-  /// Return number of entries in L part of current factorization
-  virtual CoinBigIndex getSizeL() const;
-  /// Return number of entries in U part of current factorization
-  virtual CoinBigIndex getSizeU() const;
-  /// Get disaster handler
-  const OsiClpDisasterHandler * disasterHandler() const
-  { return disasterHandler_;}
-  /// Pass in disaster handler
-  void passInDisasterHandler(OsiClpDisasterHandler * handler);
-  /// Get fake objective
-  ClpLinearObjective * fakeObjective() const
-  { return fakeObjective_;}
-  /// Set fake objective (and take ownership)
-  void setFakeObjective(ClpLinearObjective * fakeObjective);
-  /// Set fake objective
-  void setFakeObjective(double * fakeObjective);
-  /*! \brief Set up solver for repeated use by Osi interface.
-
-    The normal usage does things like keeping factorization around so can be
-    used.  Will also do things like keep scaling and row copy of matrix if
-    matrix does not change.
-
-    \p senseOfAdventure:
-    - 0 - safe stuff as above
-    - 1 - will take more risks - if it does not work then bug which will be
-          fixed
-    - 2 - don't bother doing most extreme termination checks e.g. don't bother
-	  re-factorizing if less than 20 iterations.
-    - 3 - Actually safer than 1 (mainly just keeps factorization)
-      
-    \p printOut
-    - -1 always skip round common messages instead of doing some work
-    -  0 skip if normal defaults
-    -  1 leaves
-  */
-  void setupForRepeatedUse(int senseOfAdventure=0, int printOut=0);
-  /// Synchronize model (really if no cuts in tree)
-  virtual void synchronizeModel();
-  /*! \brief Set special options in underlying clp solver.
-
-    Safe as const because #modelPtr_ is mutable.
-  */
-  void setSpecialOptionsMutable(unsigned int value) const;
-
-  //@}
-  
-  //---------------------------------------------------------------------------
-  
-  /**@name Constructors and destructors */
-  //@{
-  /// Default Constructor
-  OsiClpSolverInterface ();
-  
-  /// Clone
-  virtual OsiSolverInterface * clone(bool copyData = true) const;
-  
-  /// Copy constructor 
-  OsiClpSolverInterface (const OsiClpSolverInterface &);
-  
-  /// Borrow constructor - only delete one copy
-  OsiClpSolverInterface (ClpSimplex * rhs, bool reallyOwn=false);
-  
-  /// Releases so won't error
-  void releaseClp();
-  
-  /// Assignment operator 
-  OsiClpSolverInterface & operator=(const OsiClpSolverInterface& rhs);
-  
-  /// Destructor 
-  virtual ~OsiClpSolverInterface ();
-  
-  /// Resets as if default constructor
-  virtual void reset();
-  //@}
-  
-  //---------------------------------------------------------------------------
-  
-protected:
-  ///@name Protected methods
-  //@{
-  /** Apply a row cut (append to constraint matrix). */
-  virtual void applyRowCut(const OsiRowCut& rc);
-  
-  /** Apply a column cut (adjust one or more bounds). */
-  virtual void applyColCut(const OsiColCut& cc);
-  //@}
-  
-  //---------------------------------------------------------------------------
-  
-protected:
-  /**@name Protected methods */
-  //@{
-  /// The real work of a copy constructor (used by copy and assignment)
-  void gutsOfDestructor();
-  
-  /// Deletes all mutable stuff
-  void freeCachedResults() const;
-  
-  /// Deletes all mutable stuff for row ranges etc
-  void freeCachedResults0() const;
-  
-  /// Deletes all mutable stuff for matrix etc
-  void freeCachedResults1() const;
-  
-  /// A method that fills up the rowsense_, rhs_ and rowrange_ arrays
-  void extractSenseRhsRange() const;
-  
-  ///
-  void fillParamMaps();
-  /** Warm start
-      
-  NOTE  artificials are treated as +1 elements so for <= rhs
-  artificial will be at lower bound if constraint is tight
-  
-  This means that Clpsimplex flips artificials as it works
-  in terms of row activities
-  */
-  CoinWarmStartBasis getBasis(ClpSimplex * model) const;
-  /** Sets up working basis as a copy of input
-      
-  NOTE  artificials are treated as +1 elements so for <= rhs
-  artificial will be at lower bound if constraint is tight
-  
-  This means that Clpsimplex flips artificials as it works
-  in terms of row activities
-  */
-  void setBasis( const CoinWarmStartBasis & basis, ClpSimplex * model);
-  /// Crunch down problem a bit
-  void crunch();
-  /// Extend scale factors
-  void redoScaleFactors(int numberRows,const CoinBigIndex * starts,
-			const int * indices, const double * elements);
-public:
-  /** Sets up working basis as a copy of input and puts in as basis
-  */
-  void setBasis( const CoinWarmStartBasis & basis);
-  /// Just puts current basis_ into ClpSimplex model
-  inline void setBasis( )
-  { setBasis(basis_,modelPtr_);}
-  /// Warm start difference from basis_ to statusArray
-  CoinWarmStartDiff * getBasisDiff(const unsigned char * statusArray) const ;
-  /// Warm start from statusArray
-  CoinWarmStartBasis * getBasis(const unsigned char * statusArray) const ;
-  /// Delete all scale factor stuff and reset option
-  void deleteScaleFactors();
-  /// If doing fast hot start then ranges are computed
-  inline const double * upRange() const
-  { return rowActivity_;}
-  inline const double * downRange() const
-  { return columnActivity_;}
-  /// Pass in range array
-  inline void passInRanges(int * array)
-  { whichRange_=array;}
-  /// Pass in sos stuff from AMPl
-  void setSOSData(int numberSOS,const char * type,
-		  const int * start,const int * indices, const double * weights=NULL);
-  /// Compute largest amount any at continuous away from bound
-  void computeLargestAway();
-  /// Get largest amount continuous away from bound
-  inline double largestAway() const
-  { return largestAway_;}
-  /// Set largest amount continuous away from bound
-  inline void setLargestAway(double value)
-  { largestAway_ = value;}
-  /// Sort of lexicographic resolve
-  void lexSolve();
-  //@}
-  
-protected:
-  /**@name Protected member data */
-  //@{
-  /// Clp model represented by this class instance
-  mutable ClpSimplex * modelPtr_;
-  //@}
-  /**@name Cached information derived from the OSL model */
-  //@{
-  /// Pointer to dense vector of row sense indicators
-  mutable char    *rowsense_;
-  
-  /// Pointer to dense vector of row right-hand side values
-  mutable double  *rhs_;
-  
-  /** Pointer to dense vector of slack upper bounds for range 
-      constraints (undefined for non-range rows)
-  */
-  mutable double  *rowrange_;
-  
-  /** A pointer to the warmstart information to be used in the hotstarts.
-      This is NOT efficient and more thought should be given to it... */
-  mutable CoinWarmStartBasis* ws_;
-  /** also save row and column information for hot starts
-      only used in hotstarts so can be casual */
-  mutable double * rowActivity_;
-  mutable double * columnActivity_;
-  /// Stuff for fast dual
-  ClpNodeStuff stuff_;
-  /// Number of SOS sets
-  int numberSOS_;
-  /// SOS set info
-  CoinSet * setInfo_;
-  /// Alternate model (hot starts) - but also could be permanent and used for crunch
-  ClpSimplex * smallModel_;
-  /// factorization for hot starts
-  ClpFactorization * factorization_;
-  /** Smallest allowed element in cut.
-      If smaller than this then ignored */
-  double smallestElementInCut_;
-  /** Smallest change in cut.
-      If (upper-lower)*element < this then element is
-      taken out and cut relaxed. */
-  double smallestChangeInCut_;
-  /// Largest amount continuous away from bound
-  double largestAway_;
-  /// Arrays for hot starts
-  char * spareArrays_;
-  /** Warmstart information to be used in resolves. */
-  CoinWarmStartBasis basis_;
-  /** The original iteration limit before hotstarts started. */
-  int itlimOrig_;
-  
-  /*! \brief Last algorithm used
-  
-    Coded as
-    -    0 invalid
-    -    1 primal
-    -    2 dual
-    - -911 disaster in the algorithm that was attempted
-    -  999 current solution no longer optimal due to change in problem or
-           basis
-  */
-  mutable int lastAlgorithm_;
-  
-  /// To say if destructor should delete underlying model
-  bool notOwned_;
-  
-  /// Pointer to row-wise copy of problem matrix coefficients.
-  mutable CoinPackedMatrix *matrixByRow_;  
-  
-  /// Pointer to row-wise copy of continuous problem matrix coefficients.
-  CoinPackedMatrix *matrixByRowAtContinuous_;  
-  
-  /// Pointer to integer information
-  char * integerInformation_;
-  
-  /** Pointer to variables for which we want range information
-      The number is in [0]
-      memory is not owned by OsiClp
-  */
-  int * whichRange_;
-
-  //std::map<OsiIntParam, ClpIntParam> intParamMap_;
-  //std::map<OsiDblParam, ClpDblParam> dblParamMap_;
-  //std::map<OsiStrParam, ClpStrParam> strParamMap_;
-  
-  /*! \brief Faking min to get proper dual solution signs in simplex API */
-  mutable bool fakeMinInSimplex_ ;
-  /*! \brief Linear objective
-  
-    Normally a pointer to the linear coefficient array in the clp objective.
-    An independent copy when #fakeMinInSimplex_ is true, because we need
-    something permanent to point to when #getObjCoefficients is called.
-  */
-  mutable double *linearObjective_;
-
-  /// To save data in OsiSimplex stuff
-  mutable ClpDataSave saveData_;
-  /// Options for initialSolve
-  ClpSolve solveOptions_;
-  /** Scaling option
-      When scaling is on it is possible that the scaled problem
-      is feasible but the unscaled is not.  Clp returns a secondary
-      status code to that effect.  This option allows for a cleanup.
-      If you use it I would suggest 1.
-      This only affects actions when scaled optimal
-      0 - no action
-      1 - clean up using dual if primal infeasibility
-      2 - clean up using dual if dual infeasibility
-      3 - clean up using dual if primal or dual infeasibility
-      11,12,13 - as 1,2,3 but use primal
-  */
-  int cleanupScaling_;
-  /** Special options
-      0x80000000 off
-      0 simple stuff for branch and bound
-      1 try and keep work regions as much as possible
-      2 do not use any perturbation
-      4 allow exit before re-factorization
-      8 try and re-use factorization if no cuts
-      16 use standard strong branching rather than clp's
-      32 Just go to first factorization in fast dual
-      64 try and tighten bounds in crunch
-      128 Model will only change in column bounds
-      256 Clean up model before hot start
-      512 Give user direct access to Clp regions in getBInvARow etc (i.e.,
-          do not unscale, and do not return result in getBInv parameters;
-	  you have to know where to look for the answer)
-      1024 Don't "borrow" model in initialSolve
-      2048 Don't crunch
-      4096 quick check for optimality
-      Bits above 8192 give where called from in Cbc
-      At present 0 is normal, 1 doing fast hotstarts, 2 is can do quick check
-      65536 Keep simple i.e. no  crunch etc
-      131072 Try and keep scaling factors around
-      262144 Don't try and tighten bounds (funny global cuts)
-      524288 Fake objective and 0-1
-      1048576 Don't recompute ray after crunch
-      2097152 
-  */
-  mutable unsigned int specialOptions_;
-  /// Copy of model when option 131072 set
-  ClpSimplex * baseModel_;
-  /// Number of rows when last "scaled"
-  int lastNumberRows_;
-  /// Continuous model
-  ClpSimplex * continuousModel_;
-  /// Possible disaster handler
-  OsiClpDisasterHandler * disasterHandler_ ;
-  /// Fake objective
-  ClpLinearObjective * fakeObjective_;
-  /// Row scale factors (has inverse at end)
-  CoinDoubleArrayWithLength rowScale_; 
-  /// Column scale factors (has inverse at end)
-  CoinDoubleArrayWithLength columnScale_; 
-  //@}
-};
-  
-class OsiClpDisasterHandler : public ClpDisasterHandler {
-public:
-  /**@name Virtual methods that the derived classe should provide.
-  */
-  //@{
-  /// Into simplex
-  virtual void intoSimplex();
-  /// Checks if disaster
-  virtual bool check() const ;
-  /// saves information for next attempt
-  virtual void saveInfo();
-  /// Type of disaster 0 can fix, 1 abort
-  virtual int typeOfDisaster();
-  //@}
-  
-  
-  /**@name Constructors, destructor */
-
-  //@{
-  /** Default constructor. */
-  OsiClpDisasterHandler(OsiClpSolverInterface * model = NULL);
-  /** Destructor */
-  virtual ~OsiClpDisasterHandler();
-  // Copy
-  OsiClpDisasterHandler(const OsiClpDisasterHandler&);
-  // Assignment
-  OsiClpDisasterHandler& operator=(const OsiClpDisasterHandler&);
-  /// Clone
-  virtual ClpDisasterHandler * clone() const;
-
-  //@}
-  
-  /**@name Sets/gets */
-
-  //@{
-  /** set model. */
-  void setOsiModel(OsiClpSolverInterface * model);
-  /// Get model
-  inline OsiClpSolverInterface * osiModel() const
-  { return osiModel_;}
-  /// Set where from
-  inline void setWhereFrom(int value)
-  { whereFrom_=value;}
-  /// Get where from
-  inline int whereFrom() const
-  { return whereFrom_;}
-  /// Set phase 
-  inline void setPhase(int value)
-  { phase_=value;}
-  /// Get phase 
-  inline int phase() const
-  { return phase_;}
-  /// are we in trouble
-  bool inTrouble() const;
-  
-  //@}
-  
-  
-protected:
-  /**@name Data members
-     The data members are protected to allow access for derived classes. */
-  //@{
-  /// Pointer to model
-  OsiClpSolverInterface * osiModel_;
-  /** Where from 
-      0 dual (resolve)
-      1 crunch
-      2 primal (resolve)
-      4 dual (initialSolve)
-      6 primal (initialSolve)
-  */
-  int whereFrom_;
-  /** phase
-      0 initial
-      1 trying continuing with back in and maybe different perturb
-      2 trying continuing with back in and different scaling
-      3 trying dual from all slack
-      4 trying primal from previous stored basis
-  */
-  int phase_;
-  /// Are we in trouble
-  bool inTrouble_;
-  //@}
-};
-// So unit test can find out if NDEBUG set
-bool OsiClpHasNDEBUG();
-//#############################################################################
-/** A function that tests the methods in the OsiClpSolverInterface class. */
-void OsiClpSolverInterfaceUnitTest(const std::string & mpsDir, const std::string & netlibDir);
-#endif