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diff --git a/thirdparty/linux/include/coin/ClpSimplexOther.hpp b/thirdparty/linux/include/coin/ClpSimplexOther.hpp
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+/* $Id: ClpSimplexOther.hpp 2070 2014-11-18 11:12:54Z forrest $ */
+// Copyright (C) 2004, International Business Machines
+// Corporation and others.  All Rights Reserved.
+// This code is licensed under the terms of the Eclipse Public License (EPL).
+/*
+   Authors
+
+   John Forrest
+
+ */
+#ifndef ClpSimplexOther_H
+#define ClpSimplexOther_H
+
+#include "ClpSimplex.hpp"
+
+/** This is for Simplex stuff which is neither dual nor primal
+
+    It inherits from ClpSimplex.  It has no data of its own and
+    is never created - only cast from a ClpSimplex object at algorithm time.
+
+*/
+
+class ClpSimplexOther : public ClpSimplex {
+
+public:
+
+     /**@name Methods */
+     //@{
+     /** Dual ranging.
+         This computes increase/decrease in cost for each given variable and corresponding
+         sequence numbers which would change basis.  Sequence numbers are 0..numberColumns
+         and numberColumns.. for artificials/slacks.
+         For non-basic variables the information is trivial to compute and the change in cost is just minus the
+         reduced cost and the sequence number will be that of the non-basic variables.
+         For basic variables a ratio test is between the reduced costs for non-basic variables
+         and the row of the tableau corresponding to the basic variable.
+         The increase/decrease value is always >= 0.0
+
+         Up to user to provide correct length arrays where each array is of length numberCheck.
+         which contains list of variables for which information is desired.  All other
+         arrays will be filled in by function.  If fifth entry in which is variable 7 then fifth entry in output arrays
+         will be information for variable 7.
+
+         If valueIncrease/Decrease not NULL (both must be NULL or both non NULL) then these are filled with
+         the value of variable if such a change in cost were made (the existing bounds are ignored)
+
+         When here - guaranteed optimal
+     */
+     void dualRanging(int numberCheck, const int * which,
+                      double * costIncrease, int * sequenceIncrease,
+                      double * costDecrease, int * sequenceDecrease,
+                      double * valueIncrease = NULL, double * valueDecrease = NULL);
+     /** Primal ranging.
+         This computes increase/decrease in value for each given variable and corresponding
+         sequence numbers which would change basis.  Sequence numbers are 0..numberColumns
+         and numberColumns.. for artificials/slacks.
+         This should only be used for non-basic variabls as otherwise information is pretty useless
+         For basic variables the sequence number will be that of the basic variables.
+
+         Up to user to provide correct length arrays where each array is of length numberCheck.
+         which contains list of variables for which information is desired.  All other
+         arrays will be filled in by function.  If fifth entry in which is variable 7 then fifth entry in output arrays
+         will be information for variable 7.
+
+         When here - guaranteed optimal
+     */
+     void primalRanging(int numberCheck, const int * which,
+                        double * valueIncrease, int * sequenceIncrease,
+                        double * valueDecrease, int * sequenceDecrease);
+     /** Parametrics
+         This is an initial slow version.
+         The code uses current bounds + theta * change (if change array not NULL)
+         and similarly for objective.
+         It starts at startingTheta and returns ending theta in endingTheta.
+         If reportIncrement 0.0 it will report on any movement
+         If reportIncrement >0.0 it will report at startingTheta+k*reportIncrement.
+         If it can not reach input endingTheta return code will be 1 for infeasible,
+         2 for unbounded, if error on ranges -1,  otherwise 0.
+         Normal report is just theta and objective but
+         if event handler exists it may do more
+         On exit endingTheta is maximum reached (can be used for next startingTheta)
+     */
+     int parametrics(double startingTheta, double & endingTheta, double reportIncrement,
+                     const double * changeLowerBound, const double * changeUpperBound,
+                     const double * changeLowerRhs, const double * changeUpperRhs,
+                     const double * changeObjective);
+     /** Version of parametrics which reads from file
+	 See CbcClpParam.cpp for details of format
+	 Returns -2 if unable to open file */
+     int parametrics(const char * dataFile);
+     /** Parametrics
+         This is an initial slow version.
+         The code uses current bounds + theta * change (if change array not NULL)
+         It starts at startingTheta and returns ending theta in endingTheta.
+         If it can not reach input endingTheta return code will be 1 for infeasible,
+         2 for unbounded, if error on ranges -1,  otherwise 0.
+         Event handler may do more
+         On exit endingTheta is maximum reached (can be used for next startingTheta)
+     */
+     int parametrics(double startingTheta, double & endingTheta, 
+                     const double * changeLowerBound, const double * changeUpperBound,
+                     const double * changeLowerRhs, const double * changeUpperRhs);
+     int parametricsObj(double startingTheta, double & endingTheta, 
+			const double * changeObjective);
+    /// Finds best possible pivot
+    double bestPivot(bool justColumns=false);
+  typedef struct {
+    double startingTheta;
+    double endingTheta;
+    double maxTheta;
+    double acceptableMaxTheta; // if this far then within tolerances
+    double * lowerChange; // full array of lower bound changes
+    int * lowerList; // list of lower bound changes
+    double * upperChange; // full array of upper bound changes
+    int * upperList; // list of upper bound changes
+    char * markDone; // mark which ones looked at
+    int * backwardBasic; // from sequence to pivot row
+    int * lowerActive;
+    double * lowerGap;
+    double * lowerCoefficient;
+    int * upperActive;
+    double * upperGap;
+    double * upperCoefficient;
+    int unscaledChangesOffset; 
+    bool firstIteration; // so can update rhs for accuracy
+  } parametricsData;
+
+private:
+     /** Parametrics - inner loop
+         This first attempt is when reportIncrement non zero and may
+         not report endingTheta correctly
+         If it can not reach input endingTheta return code will be 1 for infeasible,
+         2 for unbounded,  otherwise 0.
+         Normal report is just theta and objective but
+         if event handler exists it may do more
+     */
+     int parametricsLoop(parametricsData & paramData, double reportIncrement,
+                         const double * changeLower, const double * changeUpper,
+                         const double * changeObjective, ClpDataSave & data,
+                         bool canTryQuick);
+     int parametricsLoop(parametricsData & paramData,
+                         ClpDataSave & data,bool canSkipFactorization=false);
+     int parametricsObjLoop(parametricsData & paramData,
+                         ClpDataSave & data,bool canSkipFactorization=false);
+     /**  Refactorizes if necessary
+          Checks if finished.  Updates status.
+
+          type - 0 initial so set up save arrays etc
+               - 1 normal -if good update save
+           - 2 restoring from saved
+     */
+     void statusOfProblemInParametrics(int type, ClpDataSave & saveData);
+     void statusOfProblemInParametricsObj(int type, ClpDataSave & saveData);
+     /** This has the flow between re-factorizations
+
+         Reasons to come out:
+         -1 iterations etc
+         -2 inaccuracy
+         -3 slight inaccuracy (and done iterations)
+         +0 looks optimal (might be unbounded - but we will investigate)
+         +1 looks infeasible
+         +3 max iterations
+      */
+     int whileIterating(parametricsData & paramData, double reportIncrement,
+                        const double * changeObjective);
+     /** Computes next theta and says if objective or bounds (0= bounds, 1 objective, -1 none).
+         theta is in theta_.
+         type 1 bounds, 2 objective, 3 both.
+     */
+     int nextTheta(int type, double maxTheta, parametricsData & paramData,
+                   const double * changeObjective);
+     int whileIteratingObj(parametricsData & paramData);
+     int nextThetaObj(double maxTheta, parametricsData & paramData);
+     /// Restores bound to original bound
+     void originalBound(int iSequence, double theta, const double * changeLower,
+		     const double * changeUpper);
+     /// Compute new rowLower_ etc (return negative if infeasible - otherwise largest change)
+     double computeRhsEtc(parametricsData & paramData);
+     /// Redo lower_ from rowLower_ etc
+     void redoInternalArrays();
+     /**
+         Row array has row part of pivot row
+         Column array has column part.
+         This is used in dual ranging
+     */
+     void checkDualRatios(CoinIndexedVector * rowArray,
+                          CoinIndexedVector * columnArray,
+                          double & costIncrease, int & sequenceIncrease, double & alphaIncrease,
+                          double & costDecrease, int & sequenceDecrease, double & alphaDecrease);
+     /**
+         Row array has pivot column
+         This is used in primal ranging
+     */
+     void checkPrimalRatios(CoinIndexedVector * rowArray,
+                            int direction);
+     /// Returns new value of whichOther when whichIn enters basis
+     double primalRanging1(int whichIn, int whichOther);
+
+public:
+     /** Write the basis in MPS format to the specified file.
+     If writeValues true writes values of structurals
+     (and adds VALUES to end of NAME card)
+
+     Row and column names may be null.
+     formatType is
+     <ul>
+       <li> 0 - normal
+       <li> 1 - extra accuracy
+       <li> 2 - IEEE hex (later)
+     </ul>
+
+     Returns non-zero on I/O error
+     */
+     int writeBasis(const char *filename,
+                    bool writeValues = false,
+                    int formatType = 0) const;
+     /// Read a basis from the given filename
+     int readBasis(const char *filename);
+     /** Creates dual of a problem if looks plausible
+         (defaults will always create model)
+         fractionRowRanges is fraction of rows allowed to have ranges
+         fractionColumnRanges is fraction of columns allowed to have ranges
+     */
+     ClpSimplex * dualOfModel(double fractionRowRanges = 1.0, double fractionColumnRanges = 1.0) const;
+     /** Restores solution from dualized problem
+         non-zero return code indicates minor problems
+     */
+     int restoreFromDual(const ClpSimplex * dualProblem,
+			 bool checkAccuracy=false);
+     /** Sets solution in dualized problem
+         non-zero return code indicates minor problems
+     */
+     int setInDual(ClpSimplex * dualProblem);
+     /** Does very cursory presolve.
+         rhs is numberRows, whichRows is 3*numberRows and whichColumns is 2*numberColumns.
+     */
+     ClpSimplex * crunch(double * rhs, int * whichRows, int * whichColumns,
+                         int & nBound, bool moreBounds = false, bool tightenBounds = false);
+     /** After very cursory presolve.
+         rhs is numberRows, whichRows is 3*numberRows and whichColumns is 2*numberColumns.
+     */
+     void afterCrunch(const ClpSimplex & small,
+                      const int * whichRows, const int * whichColumns,
+                      int nBound);
+     /** Returns gub version of model or NULL
+	 whichRows has to be numberRows
+	 whichColumns has to be numberRows+numberColumns */
+     ClpSimplex * gubVersion(int * whichRows, int * whichColumns,
+			     int neededGub,
+			     int factorizationFrequency=50);
+     /// Sets basis from original
+     void setGubBasis(ClpSimplex &original,const int * whichRows,
+		      const int * whichColumns);
+     /// Restores basis to original
+     void getGubBasis(ClpSimplex &original,const int * whichRows,
+		      const int * whichColumns) const;
+     /// Quick try at cleaning up duals if postsolve gets wrong
+     void cleanupAfterPostsolve();
+     /** Tightens integer bounds - returns number tightened or -1 if infeasible
+     */
+     int tightenIntegerBounds(double * rhsSpace);
+     /** Expands out all possible combinations for a knapsack
+         If buildObj NULL then just computes space needed - returns number elements
+         On entry numberOutput is maximum allowed, on exit it is number needed or
+         -1 (as will be number elements) if maximum exceeded.  numberOutput will have at
+         least space to return values which reconstruct input.
+         Rows returned will be original rows but no entries will be returned for
+         any rows all of whose entries are in knapsack.  So up to user to allow for this.
+         If reConstruct >=0 then returns number of entrie which make up item "reConstruct"
+         in expanded knapsack.  Values in buildRow and buildElement;
+     */
+     int expandKnapsack(int knapsackRow, int & numberOutput,
+                        double * buildObj, CoinBigIndex * buildStart,
+                        int * buildRow, double * buildElement, int reConstruct = -1) const;
+     //@}
+};
+#endif