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diff --git a/thirdparty/linux/include/coin/OsiClpSolverInterface.hpp b/thirdparty/linux/include/coin/OsiClpSolverInterface.hpp
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+// $Id$
+// 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