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+/* $Id: ClpModel.hpp 2074 2014-12-10 09:43:54Z forrest $ */
+// Copyright (C) 2002, International Business Machines
+// Corporation and others.  All Rights Reserved.
+// This code is licensed under the terms of the Eclipse Public License (EPL).
+
+#ifndef ClpModel_H
+#define ClpModel_H
+
+#include "ClpConfig.h"
+
+#include <iostream>
+#include <cassert>
+#include <cmath>
+#include <vector>
+#include <string>
+//#ifndef COIN_USE_CLP
+//#define COIN_USE_CLP
+//#endif
+#include "ClpPackedMatrix.hpp"
+#include "CoinMessageHandler.hpp"
+#include "CoinHelperFunctions.hpp"
+#include "CoinTypes.hpp"
+#include "CoinFinite.hpp"
+#include "ClpParameters.hpp"
+#include "ClpObjective.hpp"
+class ClpEventHandler;
+/** This is the base class for Linear and quadratic Models
+    This knows nothing about the algorithm, but it seems to
+    have a reasonable amount of information
+
+    I would welcome suggestions for what should be in this and
+    how it relates to OsiSolverInterface.  Some methods look
+    very similar.
+
+*/
+class CoinBuild;
+class CoinModel;
+class ClpModel {
+
+public:
+
+     /**@name Constructors and destructor
+        Note - copy methods copy ALL data so can chew up memory
+        until other copy is freed
+      */
+     //@{
+     /// Default constructor
+     ClpModel (bool emptyMessages = false  );
+
+     /** Copy constructor. May scale depending on mode
+         -1 leave mode as is
+         0 -off, 1 equilibrium, 2 geometric, 3, auto, 4 auto-but-as-initialSolve-in-bab
+     */
+     ClpModel(const ClpModel & rhs, int scalingMode = -1);
+     /// Assignment operator. This copies the data
+     ClpModel & operator=(const ClpModel & rhs);
+     /** Subproblem constructor.  A subset of whole model is created from the
+         row and column lists given.  The new order is given by list order and
+         duplicates are allowed.  Name and integer information can be dropped
+     */
+     ClpModel (const ClpModel * wholeModel,
+               int numberRows, const int * whichRows,
+               int numberColumns, const int * whichColumns,
+               bool dropNames = true, bool dropIntegers = true);
+     /// Destructor
+     ~ClpModel (  );
+     //@}
+
+     /**@name Load model - loads some stuff and initializes others */
+     //@{
+     /** Loads a problem (the constraints on the
+         rows are given by lower and upper bounds). If a pointer is 0 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>
+     */
+     void loadProblem (  const ClpMatrixBase& matrix,
+                         const double* collb, const double* colub,
+                         const double* obj,
+                         const double* rowlb, const double* rowub,
+                         const double * rowObjective = NULL);
+     void loadProblem (  const CoinPackedMatrix& matrix,
+                         const double* collb, const double* colub,
+                         const double* obj,
+                         const double* rowlb, const double* rowub,
+                         const double * rowObjective = NULL);
+
+     /** Just like the other loadProblem() method except that the matrix is
+       given in a standard column major ordered format (without gaps). */
+     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,
+                         const double * rowObjective = NULL);
+     /** This loads a model from a coinModel object - returns number of errors.
+
+         modelObject not const as may be changed as part of process
+         If tryPlusMinusOne then will try adding as +-1 matrix
+     */
+     int loadProblem (  CoinModel & modelObject, bool tryPlusMinusOne = false);
+     /// This one is for after presolve to save memory
+     void loadProblem (  const int numcols, const int numrows,
+                         const CoinBigIndex* start, const int* index,
+                         const double* value, const int * length,
+                         const double* collb, const double* colub,
+                         const double* obj,
+                         const double* rowlb, const double* rowub,
+                         const double * rowObjective = NULL);
+     /** Load up quadratic objective.  This is stored as a CoinPackedMatrix */
+     void loadQuadraticObjective(const int numberColumns,
+                                 const CoinBigIndex * start,
+                                 const int * column, const double * element);
+     void loadQuadraticObjective (  const CoinPackedMatrix& matrix);
+     /// Get rid of quadratic objective
+     void deleteQuadraticObjective();
+     /// This just loads up a row objective
+     void setRowObjective(const double * rowObjective);
+     /// Read an mps file from the given filename
+     int readMps(const char *filename,
+                 bool keepNames = false,
+                 bool ignoreErrors = false);
+     /// Read GMPL files from the given filenames
+     int readGMPL(const char *filename, const char * dataName,
+                  bool keepNames = false);
+     /// Copy in integer informations
+     void copyInIntegerInformation(const char * information);
+     /// Drop integer informations
+     void deleteIntegerInformation();
+     /** Set the index-th variable to be a continuous variable */
+     void setContinuous(int index);
+     /** Set the index-th variable to be an integer variable */
+     void setInteger(int index);
+     /** Return true if the index-th variable is an integer variable */
+     bool isInteger(int index) const;
+     /// Resizes rim part of model
+     void resize (int newNumberRows, int newNumberColumns);
+     /// Deletes rows
+     void deleteRows(int number, const int * which);
+     /// Add one row
+     void addRow(int numberInRow, const int * columns,
+                 const double * elements, double rowLower = -COIN_DBL_MAX,
+                 double rowUpper = COIN_DBL_MAX);
+     /// Add rows
+     void addRows(int number, const double * rowLower,
+                  const double * rowUpper,
+                  const CoinBigIndex * rowStarts, const int * columns,
+                  const double * elements);
+     /// Add rows
+     void addRows(int number, const double * rowLower,
+                  const double * rowUpper,
+                  const CoinBigIndex * rowStarts, const int * rowLengths,
+                  const int * columns,
+                  const double * elements);
+#ifndef CLP_NO_VECTOR
+     void addRows(int number, const double * rowLower,
+                  const double * rowUpper,
+                  const CoinPackedVectorBase * const * rows);
+#endif
+     /** Add rows from a build object.
+         If tryPlusMinusOne then will try adding as +-1 matrix
+         if no matrix exists.
+         Returns number of errors e.g. duplicates
+     */
+     int addRows(const CoinBuild & buildObject, bool tryPlusMinusOne = false,
+                 bool checkDuplicates = true);
+     /** Add rows from a model object.  returns
+         -1 if object in bad state (i.e. has column information)
+         otherwise number of errors.
+
+         modelObject non const as can be regularized as part of build
+         If tryPlusMinusOne then will try adding as +-1 matrix
+         if no matrix exists.
+     */
+     int addRows(CoinModel & modelObject, bool tryPlusMinusOne = false,
+                 bool checkDuplicates = true);
+
+     /// Deletes columns
+     void deleteColumns(int number, const int * which);
+     /// Deletes rows AND columns (keeps old sizes)
+     void deleteRowsAndColumns(int numberRows, const int * whichRows,
+			       int numberColumns, const int * whichColumns);
+     /// Add one column
+     void addColumn(int numberInColumn,
+                    const int * rows,
+                    const double * elements,
+                    double columnLower = 0.0,
+                    double  columnUpper = COIN_DBL_MAX,
+                    double  objective = 0.0);
+     /// Add columns
+     void addColumns(int number, const double * columnLower,
+                     const double * columnUpper,
+                     const double * objective,
+                     const CoinBigIndex * columnStarts, const int * rows,
+                     const double * elements);
+     void addColumns(int number, const double * columnLower,
+                     const double * columnUpper,
+                     const double * objective,
+                     const CoinBigIndex * columnStarts, const int * columnLengths,
+                     const int * rows,
+                     const double * elements);
+#ifndef CLP_NO_VECTOR
+     void addColumns(int number, const double * columnLower,
+                     const double * columnUpper,
+                     const double * objective,
+                     const CoinPackedVectorBase * const * columns);
+#endif
+     /** Add columns from a build object
+         If tryPlusMinusOne then will try adding as +-1 matrix
+         if no matrix exists.
+         Returns number of errors e.g. duplicates
+     */
+     int addColumns(const CoinBuild & buildObject, bool tryPlusMinusOne = false,
+                    bool checkDuplicates = true);
+     /** Add columns from a model object.  returns
+         -1 if object in bad state (i.e. has row information)
+         otherwise number of errors
+         modelObject non const as can be regularized as part of build
+         If tryPlusMinusOne then will try adding as +-1 matrix
+         if no matrix exists.
+     */
+     int addColumns(CoinModel & modelObject, bool tryPlusMinusOne = false,
+                    bool checkDuplicates = true);
+     /// Modify one element of a matrix
+     inline void modifyCoefficient(int row, int column, double newElement,
+                                   bool keepZero = false) {
+          matrix_->modifyCoefficient(row, column, newElement, keepZero);
+     }
+     /** Change row lower bounds */
+     void chgRowLower(const double * rowLower);
+     /** Change row upper bounds */
+     void chgRowUpper(const double * rowUpper);
+     /** Change column lower bounds */
+     void chgColumnLower(const double * columnLower);
+     /** Change column upper bounds */
+     void chgColumnUpper(const double * columnUpper);
+     /** Change objective coefficients */
+     void chgObjCoefficients(const double * objIn);
+     /** Borrow model.  This is so we don't have to copy large amounts
+         of data around.  It assumes a derived class wants to overwrite
+         an empty model with a real one - while it does an algorithm */
+     void borrowModel(ClpModel & otherModel);
+     /** Return model - nulls all arrays so can be deleted safely
+         also updates any scalars */
+     void returnModel(ClpModel & otherModel);
+
+     /// Create empty ClpPackedMatrix
+     void createEmptyMatrix();
+     /** Really clean up matrix (if ClpPackedMatrix).
+         a) eliminate all duplicate AND small elements in matrix
+         b) remove all gaps and set extraGap_ and extraMajor_ to 0.0
+         c) reallocate arrays and make max lengths equal to lengths
+         d) orders elements
+         returns number of elements eliminated or -1 if not ClpPackedMatrix
+     */
+     int cleanMatrix(double threshold = 1.0e-20);
+     /// Copy contents - resizing if necessary - otherwise re-use memory
+     void copy(const ClpMatrixBase * from, ClpMatrixBase * & to);
+#ifndef CLP_NO_STD
+     /// Drops names - makes lengthnames 0 and names empty
+     void dropNames();
+     /// Copies in names
+     void copyNames(const std::vector<std::string> & rowNames,
+                    const std::vector<std::string> & columnNames);
+     /// Copies in Row names - modifies names first .. last-1
+     void copyRowNames(const std::vector<std::string> & rowNames, int first, int last);
+     /// Copies in Column names - modifies names first .. last-1
+     void copyColumnNames(const std::vector<std::string> & columnNames, int first, int last);
+     /// Copies in Row names - modifies names first .. last-1
+     void copyRowNames(const char * const * rowNames, int first, int last);
+     /// Copies in Column names - modifies names first .. last-1
+     void copyColumnNames(const char * const * columnNames, int first, int last);
+     /// Set name of row
+     void setRowName(int rowIndex, std::string & name) ;
+     /// Set name of col
+     void setColumnName(int colIndex, std::string & name) ;
+#endif
+     /** Find a network subset.
+         rotate array should be numberRows.  On output
+         -1 not in network
+          0 in network as is
+          1 in network with signs swapped
+         Returns number of network rows
+     */
+     int findNetwork(char * rotate, double fractionNeeded = 0.75);
+     /** This creates a coinModel object
+     */
+     CoinModel * createCoinModel() const;
+
+     /** Write the problem in MPS format to the specified file.
+
+     Row and column names may be null.
+     formatType is
+     <ul>
+       <li> 0 - normal
+       <li> 1 - extra accuracy
+       <li> 2 - IEEE hex
+     </ul>
+
+     Returns non-zero on I/O error
+     */
+     int writeMps(const char *filename,
+                  int formatType = 0, int numberAcross = 2,
+                  double objSense = 0.0) const ;
+     //@}
+     /**@name gets and sets */
+     //@{
+     /// Number of rows
+     inline int numberRows() const {
+          return numberRows_;
+     }
+     inline int getNumRows() const {
+          return numberRows_;
+     }
+     /// Number of columns
+     inline int getNumCols() const {
+          return numberColumns_;
+     }
+     inline int numberColumns() const {
+          return numberColumns_;
+     }
+     /// Primal tolerance to use
+     inline double primalTolerance() const {
+          return dblParam_[ClpPrimalTolerance];
+     }
+     void setPrimalTolerance( double value) ;
+     /// Dual tolerance to use
+     inline double dualTolerance() const  {
+          return dblParam_[ClpDualTolerance];
+     }
+     void setDualTolerance( double value) ;
+     /// Primal objective limit
+     inline double primalObjectiveLimit() const {
+          return dblParam_[ClpPrimalObjectiveLimit];
+     }
+     void setPrimalObjectiveLimit(double value);
+     /// Dual objective limit
+     inline double dualObjectiveLimit() const {
+          return dblParam_[ClpDualObjectiveLimit];
+     }
+     void setDualObjectiveLimit(double value);
+     /// Objective offset
+     inline double objectiveOffset() const {
+          return dblParam_[ClpObjOffset];
+     }
+     void setObjectiveOffset(double value);
+     /// Presolve tolerance to use
+     inline double presolveTolerance() const {
+          return dblParam_[ClpPresolveTolerance];
+     }
+#ifndef CLP_NO_STD
+     inline const std::string & problemName() const {
+          return strParam_[ClpProbName];
+     }
+#endif
+     /// Number of iterations
+     inline int numberIterations() const  {
+          return numberIterations_;
+     }
+     inline int getIterationCount() const {
+          return numberIterations_;
+     }
+     inline void setNumberIterations(int numberIterationsNew) {
+          numberIterations_ = numberIterationsNew;
+     }
+     /** Solve type - 1 simplex, 2 simplex interface, 3 Interior.*/
+     inline int solveType() const {
+          return solveType_;
+     }
+     inline void setSolveType(int type) {
+          solveType_ = type;
+     }
+     /// Maximum number of iterations
+     inline int maximumIterations() const {
+          return intParam_[ClpMaxNumIteration];
+     }
+     void setMaximumIterations(int value);
+     /// Maximum time in seconds (from when set called)
+     inline double maximumSeconds() const {
+          return dblParam_[ClpMaxSeconds];
+     }
+     void setMaximumSeconds(double value);
+     void setMaximumWallSeconds(double value);
+     /// Returns true if hit maximum iterations (or time)
+     bool hitMaximumIterations() const;
+     /** Status of problem:
+         -1 - unknown e.g. before solve or if postSolve says not optimal
+         0 - optimal
+         1 - primal infeasible
+         2 - dual infeasible
+         3 - stopped on iterations or time
+         4 - stopped due to errors
+         5 - stopped by event handler (virtual int ClpEventHandler::event())
+     */
+     inline int status() const            {
+          return problemStatus_;
+     }
+     inline int problemStatus() const            {
+          return problemStatus_;
+     }
+     /// Set problem status
+     inline void setProblemStatus(int problemStatusNew) {
+          problemStatus_ = problemStatusNew;
+     }
+     /** Secondary status of problem - may get extended
+         0 - none
+         1 - primal infeasible because dual limit reached OR (probably primal
+         infeasible but can't prove it  - main status was 4)
+         2 - scaled problem optimal - unscaled problem has primal infeasibilities
+         3 - scaled problem optimal - unscaled problem has dual infeasibilities
+         4 - scaled problem optimal - unscaled problem has primal and dual infeasibilities
+         5 - giving up in primal with flagged variables
+         6 - failed due to empty problem check
+         7 - postSolve says not optimal
+         8 - failed due to bad element check
+         9 - status was 3 and stopped on time
+	 10 - status was 3 but stopped as primal feasible
+         100 up - translation of enum from ClpEventHandler
+     */
+     inline int secondaryStatus() const            {
+          return secondaryStatus_;
+     }
+     inline void setSecondaryStatus(int newstatus) {
+          secondaryStatus_ = newstatus;
+     }
+     /// Are there a numerical difficulties?
+     inline bool isAbandoned() const             {
+          return problemStatus_ == 4;
+     }
+     /// Is optimality proven?
+     inline bool isProvenOptimal() const         {
+          return problemStatus_ == 0;
+     }
+     /// Is primal infeasiblity proven?
+     inline bool isProvenPrimalInfeasible() const {
+          return problemStatus_ == 1;
+     }
+     /// Is dual infeasiblity proven?
+     inline bool isProvenDualInfeasible() const  {
+          return problemStatus_ == 2;
+     }
+     /// Is the given primal objective limit reached?
+     bool isPrimalObjectiveLimitReached() const ;
+     /// Is the given dual objective limit reached?
+     bool isDualObjectiveLimitReached() const ;
+     /// Iteration limit reached?
+     inline bool isIterationLimitReached() const {
+          return problemStatus_ == 3;
+     }
+     /// Direction of optimization (1 - minimize, -1 - maximize, 0 - ignore
+     inline double optimizationDirection() const {
+          return  optimizationDirection_;
+     }
+     inline double getObjSense() const    {
+          return optimizationDirection_;
+     }
+     void setOptimizationDirection(double value);
+     /// Primal row solution
+     inline double * primalRowSolution() const    {
+          return rowActivity_;
+     }
+     inline const double * getRowActivity() const {
+          return rowActivity_;
+     }
+     /// Primal column solution
+     inline double * primalColumnSolution() const {
+          return columnActivity_;
+     }
+     inline const double * getColSolution() const {
+          return columnActivity_;
+     }
+     inline void setColSolution(const double * input) {
+          memcpy(columnActivity_, input, numberColumns_ * sizeof(double));
+     }
+     /// Dual row solution
+     inline double * dualRowSolution() const      {
+          return dual_;
+     }
+     inline const double * getRowPrice() const    {
+          return dual_;
+     }
+     /// Reduced costs
+     inline double * dualColumnSolution() const   {
+          return reducedCost_;
+     }
+     inline const double * getReducedCost() const {
+          return reducedCost_;
+     }
+     /// Row lower
+     inline double* rowLower() const              {
+          return rowLower_;
+     }
+     inline const double* getRowLower() const     {
+          return rowLower_;
+     }
+     /// Row upper
+     inline double* rowUpper() const              {
+          return rowUpper_;
+     }
+     inline const double* getRowUpper() const     {
+          return rowUpper_;
+     }
+     //-------------------------------------------------------------------------
+     /**@name Changing bounds on variables and constraints */
+     //@{
+     /** Set an objective function coefficient */
+     void setObjectiveCoefficient( int elementIndex, double elementValue );
+     /** Set an objective function coefficient */
+     inline void setObjCoeff( int elementIndex, double elementValue ) {
+          setObjectiveCoefficient( elementIndex, elementValue);
+     }
+
+     /** Set a single column lower bound<br>
+         Use -DBL_MAX for -infinity. */
+     void setColumnLower( int elementIndex, double elementValue );
+
+     /** Set a single column upper bound<br>
+         Use DBL_MAX for infinity. */
+     void setColumnUpper( int elementIndex, double elementValue );
+
+     /** Set a single column lower and upper bound */
+     void setColumnBounds( 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
+     */
+     void setColumnSetBounds(const int* indexFirst,
+                             const int* indexLast,
+                             const double* boundList);
+
+     /** Set a single column lower bound<br>
+         Use -DBL_MAX for -infinity. */
+     inline void setColLower( int elementIndex, double elementValue ) {
+          setColumnLower(elementIndex, elementValue);
+     }
+     /** Set a single column upper bound<br>
+         Use DBL_MAX for infinity. */
+     inline void setColUpper( int elementIndex, double elementValue ) {
+          setColumnUpper(elementIndex, elementValue);
+     }
+
+     /** Set a single column lower and upper bound */
+     inline void setColBounds( int elementIndex,
+                               double lower, double upper ) {
+          setColumnBounds(elementIndex, lower, upper);
+     }
+
+     /** Set the bounds on a number of columns simultaneously<br>
+         @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
+     */
+     inline void setColSetBounds(const int* indexFirst,
+                                 const int* indexLast,
+                                 const double* boundList) {
+          setColumnSetBounds(indexFirst, indexLast, boundList);
+     }
+
+     /** Set a single row lower bound<br>
+         Use -DBL_MAX for -infinity. */
+     void setRowLower( int elementIndex, double elementValue );
+
+     /** Set a single row upper bound<br>
+         Use DBL_MAX for infinity. */
+     void setRowUpper( int elementIndex, double elementValue ) ;
+
+     /** Set a single row lower and upper bound */
+     void setRowBounds( int elementIndex,
+                        double lower, double upper ) ;
+
+     /** Set the bounds on a number of rows simultaneously<br>
+         @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
+     */
+     void setRowSetBounds(const int* indexFirst,
+                          const int* indexLast,
+                          const double* boundList);
+
+     //@}
+     /// Scaling
+     inline const double * rowScale() const {
+          return rowScale_;
+     }
+     inline const double * columnScale() const {
+          return columnScale_;
+     }
+     inline const double * inverseRowScale() const {
+          return inverseRowScale_;
+     }
+     inline const double * inverseColumnScale() const {
+          return inverseColumnScale_;
+     }
+     inline double * mutableRowScale() const {
+          return rowScale_;
+     }
+     inline double * mutableColumnScale() const {
+          return columnScale_;
+     }
+     inline double * mutableInverseRowScale() const {
+          return inverseRowScale_;
+     }
+     inline double * mutableInverseColumnScale() const {
+          return inverseColumnScale_;
+     }
+     inline double * swapRowScale(double * newScale) {
+          double * oldScale = rowScale_;
+	  rowScale_ = newScale;
+          return oldScale;
+     }
+     void setRowScale(double * scale) ;
+     void setColumnScale(double * scale);
+     /// Scaling of objective
+     inline double objectiveScale() const {
+          return objectiveScale_;
+     }
+     inline void setObjectiveScale(double value) {
+          objectiveScale_ = value;
+     }
+     /// Scaling of rhs and bounds
+     inline double rhsScale() const {
+          return rhsScale_;
+     }
+     inline void setRhsScale(double value) {
+          rhsScale_ = value;
+     }
+     /// Sets or unsets scaling, 0 -off, 1 equilibrium, 2 geometric, 3 auto, 4 auto-but-as-initialSolve-in-bab
+     void scaling(int mode = 1);
+     /** If we constructed a "really" scaled model then this reverses the operation.
+         Quantities may not be exactly as they were before due to rounding errors */
+     void unscale();
+     /// Gets scalingFlag
+     inline int scalingFlag() const {
+          return scalingFlag_;
+     }
+     /// Objective
+     inline double * objective() const {
+          if (objective_) {
+               double offset;
+               return objective_->gradient(NULL, NULL, offset, false);
+          } else {
+               return NULL;
+          }
+     }
+     inline double * objective(const double * solution, double & offset, bool refresh = true) const {
+          offset = 0.0;
+          if (objective_) {
+               return objective_->gradient(NULL, solution, offset, refresh);
+          } else {
+               return NULL;
+          }
+     }
+     inline const double * getObjCoefficients() const {
+          if (objective_) {
+               double offset;
+               return objective_->gradient(NULL, NULL, offset, false);
+          } else {
+               return NULL;
+          }
+     }
+     /// Row Objective
+     inline double * rowObjective() const         {
+          return rowObjective_;
+     }
+     inline const double * getRowObjCoefficients() const {
+          return rowObjective_;
+     }
+     /// Column Lower
+     inline double * columnLower() const          {
+          return columnLower_;
+     }
+     inline const double * getColLower() const    {
+          return columnLower_;
+     }
+     /// Column Upper
+     inline double * columnUpper() const          {
+          return columnUpper_;
+     }
+     inline const double * getColUpper() const    {
+          return columnUpper_;
+     }
+     /// Matrix (if not ClpPackedmatrix be careful about memory leak
+     inline CoinPackedMatrix * matrix() const {
+          if ( matrix_ == NULL ) return NULL;
+          else return matrix_->getPackedMatrix();
+     }
+     /// Number of elements in matrix
+     inline int getNumElements() const {
+          return matrix_->getNumElements();
+     }
+     /** Small element value - elements less than this set to zero,
+        default is 1.0e-20 */
+     inline double getSmallElementValue() const {
+          return smallElement_;
+     }
+     inline void setSmallElementValue(double value) {
+          smallElement_ = value;
+     }
+     /// Row Matrix
+     inline ClpMatrixBase * rowCopy() const       {
+          return rowCopy_;
+     }
+     /// Set new row matrix
+     void setNewRowCopy(ClpMatrixBase * newCopy);
+     /// Clp Matrix
+     inline ClpMatrixBase * clpMatrix() const     {
+          return matrix_;
+     }
+     /// Scaled ClpPackedMatrix
+     inline ClpPackedMatrix * clpScaledMatrix() const     {
+          return scaledMatrix_;
+     }
+     /// Sets pointer to scaled ClpPackedMatrix
+     inline void setClpScaledMatrix(ClpPackedMatrix * scaledMatrix) {
+          delete scaledMatrix_;
+          scaledMatrix_ = scaledMatrix;
+     }
+     /// Swaps pointer to scaled ClpPackedMatrix
+     inline ClpPackedMatrix * swapScaledMatrix(ClpPackedMatrix * scaledMatrix) {
+          ClpPackedMatrix * oldMatrix = scaledMatrix_;
+          scaledMatrix_ = scaledMatrix;
+	  return oldMatrix;
+     }
+     /** Replace Clp Matrix (current is not deleted unless told to
+         and new is used)
+         So up to user to delete current.  This was used where
+         matrices were being rotated. ClpModel takes ownership.
+     */
+     void replaceMatrix(ClpMatrixBase * matrix, bool deleteCurrent = false);
+     /** Replace Clp Matrix (current is not deleted unless told to
+         and new is used) So up to user to delete current.  This was used where
+         matrices were being rotated.  This version changes CoinPackedMatrix
+         to ClpPackedMatrix.  ClpModel takes ownership.
+     */
+     inline void replaceMatrix(CoinPackedMatrix * newmatrix,
+                               bool deleteCurrent = false) {
+          replaceMatrix(new ClpPackedMatrix(newmatrix), deleteCurrent);
+     }
+     /// Objective value
+     inline double objectiveValue() const {
+          return objectiveValue_ * optimizationDirection_ - dblParam_[ClpObjOffset];
+     }
+     inline void setObjectiveValue(double value) {
+          objectiveValue_ = (value + dblParam_[ClpObjOffset]) / optimizationDirection_;
+     }
+     inline double getObjValue() const {
+          return objectiveValue_ * optimizationDirection_ - dblParam_[ClpObjOffset];
+     }
+     /// Integer information
+     inline char * integerInformation() const     {
+          return integerType_;
+     }
+     /** Infeasibility/unbounded ray (NULL returned if none/wrong)
+         Up to user to use delete [] on these arrays.  */
+     double * infeasibilityRay(bool fullRay=false) const;
+     double * unboundedRay() const;
+     /// For advanced users - no need to delete - sign not changed
+     inline double * ray() const
+     { return ray_;}
+     /// just test if infeasibility or unbounded Ray exists
+     inline bool rayExists() const {
+         return (ray_!=NULL);
+     }
+     /// just delete ray if exists
+     inline void deleteRay() {
+         delete [] ray_;
+         ray_=NULL;
+     }
+	 /// Access internal ray storage. Users should call infeasibilityRay() or unboundedRay() instead.
+	 inline const double * internalRay() const {
+		 return ray_;
+	 }
+     /// See if status (i.e. basis) array exists (partly for OsiClp)
+     inline bool statusExists() const {
+          return (status_ != NULL);
+     }
+     /// Return address of status (i.e. basis) array (char[numberRows+numberColumns])
+     inline unsigned char *  statusArray() const {
+          return status_;
+     }
+     /** Return copy of status (i.e. basis) array (char[numberRows+numberColumns]),
+         use delete [] */
+     unsigned char *  statusCopy() const;
+     /// Copy in status (basis) vector
+     void copyinStatus(const unsigned char * statusArray);
+
+     /// User pointer for whatever reason
+     inline void setUserPointer (void * pointer) {
+          userPointer_ = pointer;
+     }
+     inline void * getUserPointer () const {
+          return userPointer_;
+     }
+     /// Trusted user pointer
+     inline void setTrustedUserPointer (ClpTrustedData * pointer) {
+          trustedUserPointer_ = pointer;
+     }
+     inline ClpTrustedData * getTrustedUserPointer () const {
+          return trustedUserPointer_;
+     }
+     /// What has changed in model (only for masochistic users)
+     inline int whatsChanged() const {
+          return whatsChanged_;
+     }
+     inline void setWhatsChanged(int value) {
+          whatsChanged_ = value;
+     }
+     /// Number of threads (not really being used)
+     inline int numberThreads() const {
+          return numberThreads_;
+     }
+     inline void setNumberThreads(int value) {
+          numberThreads_ = value;
+     }
+     //@}
+     /**@name Message handling */
+     //@{
+     /// Pass in Message handler (not deleted at end)
+     void passInMessageHandler(CoinMessageHandler * handler);
+     /// Pass in Message handler (not deleted at end) and return current
+     CoinMessageHandler * pushMessageHandler(CoinMessageHandler * handler,
+                                             bool & oldDefault);
+     /// back to previous message handler
+     void popMessageHandler(CoinMessageHandler * oldHandler, bool oldDefault);
+     /// Set language
+     void newLanguage(CoinMessages::Language language);
+     inline void setLanguage(CoinMessages::Language language) {
+          newLanguage(language);
+     }
+     /// Overrides message handler with a default one
+     void setDefaultMessageHandler();
+     /// Return handler
+     inline CoinMessageHandler * messageHandler() const       {
+          return handler_;
+     }
+     /// Return messages
+     inline CoinMessages messages() const                     {
+          return messages_;
+     }
+     /// Return pointer to messages
+     inline CoinMessages * messagesPointer()                  {
+          return & messages_;
+     }
+     /// Return Coin messages
+     inline CoinMessages coinMessages() const                  {
+          return coinMessages_;
+     }
+     /// Return pointer to Coin messages
+     inline CoinMessages * coinMessagesPointer()                  {
+          return & coinMessages_;
+     }
+     /** Amount of print out:
+         0 - none
+         1 - just final
+         2 - just factorizations
+         3 - as 2 plus a bit more
+         4 - verbose
+         above that 8,16,32 etc just for selective debug
+     */
+     inline void setLogLevel(int value)    {
+          handler_->setLogLevel(value);
+     }
+     inline int logLevel() const           {
+          return handler_->logLevel();
+     }
+     /// Return true if default handler
+     inline bool defaultHandler() const {
+          return defaultHandler_;
+     }
+     /// Pass in Event handler (cloned and deleted at end)
+     void passInEventHandler(const ClpEventHandler * eventHandler);
+     /// Event handler
+     inline ClpEventHandler * eventHandler() const {
+          return eventHandler_;
+     }
+     /// Thread specific random number generator
+     inline CoinThreadRandom * randomNumberGenerator() {
+          return &randomNumberGenerator_;
+     }
+     /// Thread specific random number generator
+     inline CoinThreadRandom & mutableRandomNumberGenerator() {
+          return randomNumberGenerator_;
+     }
+     /// Set seed for thread specific random number generator
+     inline void setRandomSeed(int value) {
+          randomNumberGenerator_.setSeed(value);
+     }
+     /// length of names (0 means no names0
+     inline int lengthNames() const {
+          return lengthNames_;
+     }
+#ifndef CLP_NO_STD
+     /// length of names (0 means no names0
+     inline void setLengthNames(int value) {
+          lengthNames_ = value;
+     }
+     /// Row names
+     inline const std::vector<std::string> * rowNames() const {
+          return &rowNames_;
+     }
+     inline const std::string& rowName(int iRow) const {
+          return rowNames_[iRow];
+     }
+     /// Return name or Rnnnnnnn
+     std::string getRowName(int iRow) const;
+     /// Column names
+     inline const std::vector<std::string> * columnNames() const {
+          return &columnNames_;
+     }
+     inline const std::string& columnName(int iColumn) const {
+          return columnNames_[iColumn];
+     }
+     /// Return name or Cnnnnnnn
+     std::string getColumnName(int iColumn) const;
+#endif
+     /// Objective methods
+     inline ClpObjective * objectiveAsObject() const {
+          return objective_;
+     }
+     void setObjective(ClpObjective * objective);
+     inline void setObjectivePointer(ClpObjective * newobjective) {
+          objective_ = newobjective;
+     }
+     /** Solve a problem with no elements - return status and
+         dual and primal infeasibilites */
+     int emptyProblem(int * infeasNumber = NULL, double * infeasSum = NULL, bool printMessage = true);
+
+     //@}
+
+     /**@name Matrix times vector methods
+        They can be faster if scalar is +- 1
+        These are covers so user need not worry about scaling
+        Also for simplex I am not using basic/non-basic split */
+     //@{
+     /** Return <code>y + A * x * scalar</code> in <code>y</code>.
+         @pre <code>x</code> must be of size <code>numColumns()</code>
+         @pre <code>y</code> must be of size <code>numRows()</code> */
+     void times(double scalar,
+                const double * x, double * y) const;
+     /** Return <code>y + x * scalar * A</code> in <code>y</code>.
+         @pre <code>x</code> must be of size <code>numRows()</code>
+         @pre <code>y</code> must be of size <code>numColumns()</code> */
+     void transposeTimes(double scalar,
+                         const double * x, double * y) const ;
+     //@}
+
+
+     //---------------------------------------------------------------------------
+     /**@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 volume 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.
+
+        ** once it has been decided where solver sits this may be redone
+     */
+     //@{
+     /// Set an integer parameter
+     bool setIntParam(ClpIntParam key, int value) ;
+     /// Set an double parameter
+     bool setDblParam(ClpDblParam key, double value) ;
+#ifndef CLP_NO_STD
+     /// Set an string parameter
+     bool setStrParam(ClpStrParam key, const std::string & value);
+#endif
+     // Get an integer parameter
+     inline bool getIntParam(ClpIntParam key, int& value) const {
+          if (key < ClpLastIntParam) {
+               value = intParam_[key];
+               return true;
+          } else {
+               return false;
+          }
+     }
+     // Get an double parameter
+     inline bool getDblParam(ClpDblParam key, double& value) const {
+          if (key < ClpLastDblParam) {
+               value = dblParam_[key];
+               return true;
+          } else {
+               return false;
+          }
+     }
+#ifndef CLP_NO_STD
+     // Get a string parameter
+     inline bool getStrParam(ClpStrParam key, std::string& value) const {
+          if (key < ClpLastStrParam) {
+               value = strParam_[key];
+               return true;
+          } else {
+               return false;
+          }
+     }
+#endif
+     /// Create C++ lines to get to current state
+     void generateCpp( FILE * fp);
+     /** For advanced options
+         1 - Don't keep changing infeasibility weight
+         2 - Keep nonLinearCost round solves
+         4 - Force outgoing variables to exact bound (primal)
+         8 - Safe to use dense initial factorization
+         16 -Just use basic variables for operation if column generation
+         32 -Create ray even in BAB
+         64 -Treat problem as feasible until last minute (i.e. minimize infeasibilities)
+         128 - Switch off all matrix sanity checks
+         256 - No row copy
+         512 - If not in values pass, solution guaranteed, skip as much as possible
+         1024 - In branch and bound
+         2048 - Don't bother to re-factorize if < 20 iterations
+         4096 - Skip some optimality checks
+         8192 - Do Primal when cleaning up primal
+         16384 - In fast dual (so we can switch off things)
+         32768 - called from Osi
+         65536 - keep arrays around as much as possible (also use maximumR/C)
+         131072 - transposeTimes is -1.0 and can skip basic and fixed
+         262144 - extra copy of scaled matrix
+         524288 - Clp fast dual
+         1048576 - don't need to finish dual (can return 3)
+	 2097152 - zero costs!
+	 4194304 - don't scale integer variables
+	 8388608 - Idiot when not really sure about it
+         NOTE - many applications can call Clp but there may be some short cuts
+                which are taken which are not guaranteed safe from all applications.
+                Vetted applications will have a bit set and the code may test this
+                At present I expect a few such applications - if too many I will
+                have to re-think.  It is up to application owner to change the code
+                if she/he needs these short cuts.  I will not debug unless in Coin
+                repository.  See COIN_CLP_VETTED comments.
+         0x01000000 is Cbc (and in branch and bound)
+         0x02000000 is in a different branch and bound
+     */
+     inline unsigned int specialOptions() const {
+          return specialOptions_;
+     }
+     void setSpecialOptions(unsigned int value);
+#define COIN_CBC_USING_CLP 0x01000000
+     inline bool inCbcBranchAndBound() const {
+          return (specialOptions_ & COIN_CBC_USING_CLP) != 0;
+     }
+     //@}
+
+     /**@name private or protected methods */
+     //@{
+protected:
+     /// Does most of deletion (0 = all, 1 = most)
+     void gutsOfDelete(int type);
+     /** Does most of copying
+         If trueCopy 0 then just points to arrays
+         If -1 leaves as much as possible */
+     void gutsOfCopy(const ClpModel & rhs, int trueCopy = 1);
+     /// gets lower and upper bounds on rows
+     void getRowBound(int iRow, double& lower, double& upper) const;
+     /// puts in format I like - 4 array matrix - may make row copy
+     void gutsOfLoadModel ( int numberRows, int numberColumns,
+                            const double* collb, const double* colub,
+                            const double* obj,
+                            const double* rowlb, const double* rowub,
+                            const double * rowObjective = NULL);
+     /// Does much of scaling
+     void gutsOfScaling();
+     /// Objective value - always minimize
+     inline double rawObjectiveValue() const {
+          return objectiveValue_;
+     }
+     /// If we are using maximumRows_ and Columns_
+     inline bool permanentArrays() const {
+          return (specialOptions_ & 65536) != 0;
+     }
+     /// Start using maximumRows_ and Columns_
+     void startPermanentArrays();
+     /// Stop using maximumRows_ and Columns_
+     void stopPermanentArrays();
+     /// Create row names as char **
+     const char * const * rowNamesAsChar() const;
+     /// Create column names as char **
+     const char * const * columnNamesAsChar() const;
+     /// Delete char * version of names
+     void deleteNamesAsChar(const char * const * names, int number) const;
+     /// On stopped - sets secondary status
+     void onStopped();
+     //@}
+
+
+////////////////// data //////////////////
+protected:
+
+     /**@name data */
+     //@{
+     /// Direction of optimization (1 - minimize, -1 - maximize, 0 - ignore
+     double optimizationDirection_;
+     /// Array of double parameters
+     double dblParam_[ClpLastDblParam];
+     /// Objective value
+     double objectiveValue_;
+     /// Small element value
+     double smallElement_;
+     /// Scaling of objective
+     double objectiveScale_;
+     /// Scaling of rhs and bounds
+     double rhsScale_;
+     /// Number of rows
+     int numberRows_;
+     /// Number of columns
+     int numberColumns_;
+     /// Row activities
+     double * rowActivity_;
+     /// Column activities
+     double * columnActivity_;
+     /// Duals
+     double * dual_;
+     /// Reduced costs
+     double * reducedCost_;
+     /// Row lower
+     double* rowLower_;
+     /// Row upper
+     double* rowUpper_;
+     /// Objective
+     ClpObjective * objective_;
+     /// Row Objective (? sign)  - may be NULL
+     double * rowObjective_;
+     /// Column Lower
+     double * columnLower_;
+     /// Column Upper
+     double * columnUpper_;
+     /// Packed matrix
+     ClpMatrixBase * matrix_;
+     /// Row copy if wanted
+     ClpMatrixBase * rowCopy_;
+     /// Scaled packed matrix
+     ClpPackedMatrix * scaledMatrix_;
+     /// Infeasible/unbounded ray
+     double * ray_;
+     /// Row scale factors for matrix
+     double * rowScale_;
+     /// Column scale factors
+     double * columnScale_;
+     /// Inverse row scale factors for matrix (end of rowScale_)
+     double * inverseRowScale_;
+     /// Inverse column scale factors for matrix (end of columnScale_)
+     double * inverseColumnScale_;
+     /** Scale flag, 0 none, 1 equilibrium, 2 geometric, 3, auto, 4 dynamic,
+         5 geometric on rows */
+     int scalingFlag_;
+     /** Status (i.e. basis) Region.  I know that not all algorithms need a status
+         array, but it made sense for things like crossover and put
+         all permanent stuff in one place.  No assumption is made
+         about what is in status array (although it might be good to reserve
+         bottom 3 bits (i.e. 0-7 numeric) for classic status).  This
+         is number of columns + number of rows long (in that order).
+     */
+     unsigned char * status_;
+     /// Integer information
+     char * integerType_;
+     /// User pointer for whatever reason
+     void * userPointer_;
+     /// Trusted user pointer e.g. for heuristics
+     ClpTrustedData * trustedUserPointer_;
+     /// Array of integer parameters
+     int intParam_[ClpLastIntParam];
+     /// Number of iterations
+     int numberIterations_;
+     /** Solve type - 1 simplex, 2 simplex interface, 3 Interior.*/
+     int solveType_;
+     /** Whats changed since last solve.  This is a work in progress
+         It is designed so careful people can make go faster.
+         It is only used when startFinishOptions used in dual or primal.
+         Bit 1 - number of rows/columns has not changed (so work arrays valid)
+             2 - matrix has not changed
+             4 - if matrix has changed only by adding rows
+             8 - if matrix has changed only by adding columns
+            16 - row lbs not changed
+            32 - row ubs not changed
+            64 - column objective not changed
+           128 - column lbs not changed
+           256 - column ubs not changed
+       512 - basis not changed (up to user to set this to 0)
+             top bits may be used internally
+       shift by 65336 is 3 all same, 1 all except col bounds
+     */
+#define ROW_COLUMN_COUNTS_SAME 1
+#define MATRIX_SAME 2
+#define MATRIX_JUST_ROWS_ADDED 4
+#define MATRIX_JUST_COLUMNS_ADDED 8
+#define ROW_LOWER_SAME 16
+#define ROW_UPPER_SAME 32
+#define OBJECTIVE_SAME 64 
+#define COLUMN_LOWER_SAME 128
+#define COLUMN_UPPER_SAME 256
+#define BASIS_SAME 512
+#define ALL_SAME 65339
+#define ALL_SAME_EXCEPT_COLUMN_BOUNDS 65337
+     unsigned int whatsChanged_;
+     /// Status of problem
+     int problemStatus_;
+     /// Secondary status of problem
+     int secondaryStatus_;
+     /// length of names (0 means no names)
+     int lengthNames_;
+     /// Number of threads (not very operational)
+     int numberThreads_;
+     /** For advanced options
+         See get and set for meaning
+     */
+     unsigned int specialOptions_;
+     /// Message handler
+     CoinMessageHandler * handler_;
+     /// Flag to say if default handler (so delete)
+     bool defaultHandler_;
+     /// Thread specific random number generator
+     CoinThreadRandom randomNumberGenerator_;
+     /// Event handler
+     ClpEventHandler * eventHandler_;
+#ifndef CLP_NO_STD
+     /// Row names
+     std::vector<std::string> rowNames_;
+     /// Column names
+     std::vector<std::string> columnNames_;
+#endif
+     /// Messages
+     CoinMessages messages_;
+     /// Coin messages
+     CoinMessages coinMessages_;
+     /// Maximum number of columns in model
+     int maximumColumns_;
+     /// Maximum number of rows in model
+     int maximumRows_;
+     /// Maximum number of columns (internal arrays) in model
+     int maximumInternalColumns_;
+     /// Maximum number of rows (internal arrays) in model
+     int maximumInternalRows_;
+     /// Base packed matrix
+     CoinPackedMatrix baseMatrix_;
+     /// Base row copy
+     CoinPackedMatrix baseRowCopy_;
+     /// Saved row scale factors for matrix
+     double * savedRowScale_;
+     /// Saved column scale factors
+     double * savedColumnScale_;
+#ifndef CLP_NO_STD
+     /// Array of string parameters
+     std::string strParam_[ClpLastStrParam];
+#endif
+     //@}
+};
+/** This is a tiny class where data can be saved round calls.
+ */
+class ClpDataSave {
+
+public:
+     /**@name Constructors and destructor
+      */
+     //@{
+     /// Default constructor
+     ClpDataSave (  );
+
+     /// Copy constructor.
+     ClpDataSave(const ClpDataSave &);
+     /// Assignment operator. This copies the data
+     ClpDataSave & operator=(const ClpDataSave & rhs);
+     /// Destructor
+     ~ClpDataSave (  );
+
+     //@}
+
+////////////////// data //////////////////
+public:
+
+     /**@name data - with same names as in other classes*/
+     //@{
+     double dualBound_;
+     double infeasibilityCost_;
+     double pivotTolerance_;
+     double zeroFactorizationTolerance_;
+     double zeroSimplexTolerance_;
+     double acceptablePivot_;
+     double objectiveScale_;
+     int sparseThreshold_;
+     int perturbation_;
+     int forceFactorization_;
+     int scalingFlag_;
+     unsigned int specialOptions_;
+     //@}
+};
+
+#endif