source: stable/2.8/Cbc/src/CbcModel.hpp @ 2023

Last change on this file since 2023 was 2023, checked in by forrest, 5 years ago

fix thread bug

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1/* $Id: CbcModel.hpp 2023 2014-03-25 12:59:22Z forrest $ */
2// Copyright (C) 2002, International Business Machines
3// Corporation and others.  All Rights Reserved.
4// This code is licensed under the terms of the Eclipse Public License (EPL).
5
6#ifndef CbcModel_H
7#define CbcModel_H
8#include <string>
9#include <vector>
10#include "CoinMessageHandler.hpp"
11#include "OsiSolverInterface.hpp"
12#include "OsiBranchingObject.hpp"
13#include "OsiCuts.hpp"
14#include "CoinWarmStartBasis.hpp"
15#include "CbcCompareBase.hpp"
16#include "CbcCountRowCut.hpp"
17#include "CbcMessage.hpp"
18#include "CbcEventHandler.hpp"
19#include "ClpDualRowPivot.hpp"
20
21
22class CbcCutGenerator;
23class CbcBaseModel;
24class OsiRowCut;
25class OsiBabSolver;
26class OsiRowCutDebugger;
27class CglCutGenerator;
28class CglStored;
29class CbcCutModifier;
30class CglTreeProbingInfo;
31class CbcHeuristic;
32class OsiObject;
33class CbcThread;
34class CbcTree;
35class CbcStrategy;
36class CbcFeasibilityBase;
37class CbcStatistics;
38class CbcFullNodeInfo;
39class CbcEventHandler ;
40class CglPreProcess;
41class OsiClpSolverInterface;
42class ClpNodeStuff;
43
44// #define CBC_CHECK_BASIS 1
45
46//#############################################################################
47
48/** Simple Branch and bound class
49
50  The initialSolve() method solves the initial LP relaxation of the MIP
51  problem. The branchAndBound() method can then be called to finish using
52  a branch and cut algorithm.
53
54  <h3>Search Tree Traversal</h3>
55
56  Subproblems (aka nodes) requiring additional evaluation are stored using
57  the CbcNode and CbcNodeInfo objects. Ancestry linkage is maintained in the
58  CbcNodeInfo object. Evaluation of a subproblem within branchAndBound()
59  proceeds as follows:
60  <ul>
61    <li> The node representing the most promising parent subproblem is popped
62         from the heap which holds the set of subproblems requiring further
63         evaluation.
64    <li> Using branching instructions stored in the node, and information in
65         its ancestors, the model and solver are adjusted to create the
66         active subproblem.
67    <li> If the parent subproblem will require further evaluation
68         (<i>i.e.</i>, there are branches remaining) its node is pushed back
69         on the heap. Otherwise, the node is deleted.  This may trigger
70         recursive deletion of ancestors.
71    <li> The newly created subproblem is evaluated.
72    <li> If the subproblem requires further evaluation, a node is created.
73         All information needed to recreate the subproblem (branching
74         information, row and column cuts) is placed in the node and the node
75         is added to the set of subproblems awaiting further evaluation.
76  </ul>
77  Note that there is never a node representing the active subproblem; the model
78  and solver represent the active subproblem.
79
80  <h3>Row (Constraint) Cut Handling</h3>
81
82  For a typical subproblem, the sequence of events is as follows:
83  <ul>
84    <li> The subproblem is rebuilt for further evaluation: One result of a
85         call to addCuts() is a traversal of ancestors, leaving a list of all
86         cuts used in the ancestors in #addedCuts_. This list is then scanned
87         to construct a basis that includes only tight cuts. Entries for
88         loose cuts are set to NULL.
89    <li> The subproblem is evaluated: One result of a call to solveWithCuts()
90         is the return of a set of newly generated cuts for the subproblem.
91         #addedCuts_ is also kept up-to-date as old cuts become loose.
92    <li> The subproblem is stored for further processing: A call to
93         CbcNodeInfo::addCuts() adds the newly generated cuts to the
94         CbcNodeInfo object associated with this node.
95  </ul>
96  See CbcCountRowCut for details of the bookkeeping associated with cut
97  management.
98*/
99
100class CbcModel  {
101
102public:
103
104    enum CbcIntParam {
105        /** The maximum number of nodes before terminating */
106        CbcMaxNumNode = 0,
107        /** The maximum number of solutions before terminating */
108        CbcMaxNumSol,
109        /** Fathoming discipline
110
111          Controls objective function comparisons for purposes of fathoming by bound
112          or determining monotonic variables.
113
114          If 1, action is taken only when the current objective is strictly worse
115          than the target. Implementation is handled by adding a small tolerance to
116          the target.
117        */
118        CbcFathomDiscipline,
119        /** Adjusts printout
120            1 does different node message with number unsatisfied on last branch
121        */
122        CbcPrinting,
123        /** Number of branches (may be more than number of nodes as may
124            include strong branching) */
125        CbcNumberBranches,
126        /** Just a marker, so that a static sized array can store parameters. */
127        CbcLastIntParam
128    };
129
130    enum CbcDblParam {
131        /** The maximum amount the value of an integer variable can vary from
132            integer and still be considered feasible. */
133        CbcIntegerTolerance = 0,
134        /** The objective is assumed to worsen by this amount for each
135            integer infeasibility. */
136        CbcInfeasibilityWeight,
137        /** The amount by which to tighten the objective function cutoff when
138            a new solution is discovered. */
139        CbcCutoffIncrement,
140        /** Stop when the gap between the objective value of the best known solution
141          and the best bound on the objective of any solution is less than this.
142
143          This is an absolute value. Conversion from a percentage is left to the
144          client.
145        */
146        CbcAllowableGap,
147        /** Stop when the gap between the objective value of the best known solution
148          and the best bound on the objective of any solution is less than this
149          fraction of of the absolute value of best known solution.
150
151          Code stops if either this test or CbcAllowableGap test succeeds
152        */
153        CbcAllowableFractionGap,
154        /** \brief The maximum number of seconds before terminating.
155               A double should be adequate! */
156        CbcMaximumSeconds,
157        /// Cutoff - stored for speed
158        CbcCurrentCutoff,
159        /// Optimization direction - stored for speed
160        CbcOptimizationDirection,
161        /// Current objective value
162        CbcCurrentObjectiveValue,
163        /// Current minimization objective value
164        CbcCurrentMinimizationObjectiveValue,
165        /** \brief The time at start of model.
166               So that other pieces of code can access */
167        CbcStartSeconds,
168        /** Stop doing heuristics when the gap between the objective value of the
169            best known solution and the best bound on the objective of any solution
170            is less than this.
171
172          This is an absolute value. Conversion from a percentage is left to the
173          client.
174        */
175        CbcHeuristicGap,
176        /** Stop doing heuristics when the gap between the objective value of the
177            best known solution and the best bound on the objective of any solution
178            is less than this fraction of of the absolute value of best known
179            solution.
180
181          Code stops if either this test or CbcAllowableGap test succeeds
182        */
183        CbcHeuristicFractionGap,
184        /// Smallest non-zero change on a branch
185        CbcSmallestChange,
186        /// Sum of non-zero changes on a branch
187        CbcSumChange,
188        /// Largest non-zero change on a branch
189        CbcLargestChange,
190        /// Small non-zero change on a branch to be used as guess
191        CbcSmallChange,
192        /** Just a marker, so that a static sized array can store parameters. */
193        CbcLastDblParam
194    };
195
196    //---------------------------------------------------------------------------
197
198public:
199    ///@name Solve methods
200    //@{
201    /** \brief Solve the initial LP relaxation
202
203      Invoke the solver's %initialSolve() method.
204    */
205    void initialSolve();
206
207    /** \brief Invoke the branch \& cut algorithm
208
209      The method assumes that initialSolve() has been called to solve the
210      LP relaxation. It processes the root node, then proceeds to explore the
211      branch & cut search tree. The search ends when the tree is exhausted or
212      one of several execution limits is reached.
213      If doStatistics is 1 summary statistics are printed
214      if 2 then also the path to best solution (if found by branching)
215      if 3 then also one line per node
216    */
217    void branchAndBound(int doStatistics = 0);
218private:
219
220    /** \brief Evaluate a subproblem using cutting planes and heuristics
221
222      The method invokes a main loop which generates cuts, applies heuristics,
223      and reoptimises using the solver's native %resolve() method.
224      It returns true if the subproblem remains feasible at the end of the
225      evaluation.
226    */
227    bool solveWithCuts(OsiCuts & cuts, int numberTries, CbcNode * node);
228    /** Generate one round of cuts - serial mode
229      returns -
230      0 - normal
231      1 - must keep going
232      2 - set numberTries to zero
233      -1 - infeasible
234    */
235    int serialCuts(OsiCuts & cuts, CbcNode * node, OsiCuts & slackCuts, int lastNumberCuts);
236    /** Generate one round of cuts - parallel mode
237        returns -
238        0 - normal
239        1 - must keep going
240        2 - set numberTries to zero
241        -1 - infeasible
242    */
243    int parallelCuts(CbcBaseModel * master, OsiCuts & cuts, CbcNode * node, OsiCuts & slackCuts, int lastNumberCuts);
244    /** Input one node output N nodes to put on tree and optional solution update
245        This should be able to operate in parallel so is given a solver and is const(ish)
246        However we will need to keep an array of solver_ and bases and more
247        status is 0 for normal, 1 if solution
248        Calling code should always push nodes back on tree
249    */
250    CbcNode ** solveOneNode(int whichSolver, CbcNode * node,
251                            int & numberNodesOutput, int & status) ;
252    /// Update size of whichGenerator
253    void resizeWhichGenerator(int numberNow, int numberAfter);
254public:
255#ifdef CBC_KEEP_DEPRECATED
256    // See if anyone is using these any more!!
257    /** \brief create a clean model from partially fixed problem
258
259      The method creates a new model with given bounds and with no tree.
260    */
261    CbcModel *  cleanModel(const double * lower, const double * upper);
262    /** \brief Invoke the branch \& cut algorithm on partially fixed problem
263
264      The method presolves the given model and does branch and cut. The search
265      ends when the tree is exhausted or maximum nodes is reached.
266
267      If better solution found then it is saved.
268
269      Returns 0 if search completed and solution, 1 if not completed and solution,
270      2 if completed and no solution, 3 if not completed and no solution.
271
272      Normally okay to do cleanModel immediately followed by subBranchandBound
273      (== other form of subBranchAndBound)
274      but may need to get at model for advanced features.
275
276      Deletes model2
277    */
278    int subBranchAndBound(CbcModel * model2,
279                          CbcModel * presolvedModel,
280                          int maximumNodes);
281    /** \brief Invoke the branch \& cut algorithm on partially fixed problem
282
283      The method creates a new model with given bounds, presolves it
284      then proceeds to explore the branch & cut search tree. The search
285      ends when the tree is exhausted or maximum nodes is reached.
286
287      If better solution found then it is saved.
288
289      Returns 0 if search completed and solution, 1 if not completed and solution,
290      2 if completed and no solution, 3 if not completed and no solution.
291
292      This is just subModel immediately followed by other version of
293      subBranchandBound.
294
295    */
296    int subBranchAndBound(const double * lower, const double * upper,
297                          int maximumNodes);
298
299    /** \brief Process root node and return a strengthened model
300
301      The method assumes that initialSolve() has been called to solve the
302      LP relaxation. It processes the root node and then returns a pointer
303      to the strengthened model (or NULL if infeasible)
304    */
305    OsiSolverInterface *  strengthenedModel();
306    /** preProcess problem - replacing solver
307        If makeEquality true then <= cliques converted to ==.
308        Presolve will be done numberPasses times.
309
310        Returns NULL if infeasible
311
312        If makeEquality is 1 add slacks to get cliques,
313        if 2 add slacks to get sos (but only if looks plausible) and keep sos info
314    */
315    CglPreProcess * preProcess( int makeEquality = 0, int numberPasses = 5,
316                                int tuning = 5);
317    /** Does postprocessing - original solver back.
318        User has to delete process */
319    void postProcess(CglPreProcess * process);
320#endif
321    /// Adds an update information object
322    void addUpdateInformation(const CbcObjectUpdateData & data);
323    /** Do one node - broken out for clarity?
324        also for parallel (when baseModel!=this)
325        Returns 1 if solution found
326        node NULL on return if no branches left
327        newNode NULL if no new node created
328    */
329    int doOneNode(CbcModel * baseModel, CbcNode * & node, CbcNode * & newNode);
330
331public:
332    /** \brief Reoptimise an LP relaxation
333
334      Invoke the solver's %resolve() method.
335      whereFrom -
336      0 - initial continuous
337      1 - resolve on branch (before new cuts)
338      2 - after new cuts
339      3  - obsolete code or something modified problem in unexpected way
340      10 - after strong branching has fixed variables at root
341      11 - after strong branching has fixed variables in tree
342
343      returns 1 feasible, 0 infeasible, -1 feasible but skip cuts
344    */
345    int resolve(CbcNodeInfo * parent, int whereFrom,
346                double * saveSolution = NULL,
347                double * saveLower = NULL,
348                double * saveUpper = NULL);
349    /// Make given rows (L or G) into global cuts and remove from lp
350    void makeGlobalCuts(int numberRows, const int * which);
351    /// Make given cut into a global cut
352    void makeGlobalCut(const OsiRowCut * cut);
353    /// Make given cut into a global cut
354    void makeGlobalCut(const OsiRowCut & cut);
355    /// Make given column cut into a global cut
356    void makeGlobalCut(const OsiColCut * cut);
357    /// Make given column cut into a global cut
358    void makeGlobalCut(const OsiColCut & cut);
359    /// Make partial cut into a global cut and save
360  void makePartialCut(const OsiRowCut * cut, const OsiSolverInterface * solver=NULL);
361    /// Make partial cuts into global cuts
362    void makeGlobalCuts();
363    /// Which cut generator generated this cut
364    inline const int * whichGenerator() const
365    { return whichGenerator_;}
366    //@}
367
368    /** \name Presolve methods */
369    //@{
370
371    /** Identify cliques and construct corresponding objects.
372
373        Find cliques with size in the range
374        [\p atLeastThisMany, \p lessThanThis] and construct corresponding
375        CbcClique objects.
376        If \p makeEquality is true then a new model may be returned if
377        modifications had to be made, otherwise \c this is returned.
378        If the problem is infeasible #numberObjects_ is set to -1.
379        A client must use deleteObjects() before a second call to findCliques().
380        If priorities exist, clique priority is set to the default.
381    */
382    CbcModel * findCliques(bool makeEquality, int atLeastThisMany,
383                           int lessThanThis, int defaultValue = 1000);
384
385    /** Do integer presolve, creating a new (presolved) model.
386
387      Returns the new model, or NULL if feasibility is lost.
388      If weak is true then just does a normal presolve
389
390      \todo It remains to work out the cleanest way of getting a solution to
391            the original problem at the end. So this is very preliminary.
392     */
393    CbcModel * integerPresolve(bool weak = false);
394
395    /** Do integer presolve, modifying the current model.
396
397        Returns true if the model remains feasible after presolve.
398    */
399    bool integerPresolveThisModel(OsiSolverInterface * originalSolver, bool weak = false);
400
401
402    /// Put back information into the original model after integer presolve.
403    void originalModel(CbcModel * presolvedModel, bool weak);
404
405    /** \brief For variables involved in VUB constraints, see if we can tighten
406           bounds by solving lp's
407
408        Returns false if feasibility is lost.
409        If CglProbing is available, it will be tried as well to see if it can
410        tighten bounds.
411        This routine is just a front end for tightenVubs(int,const int*,double).
412
413        If <tt>type = -1</tt> all variables are processed (could be very slow).
414        If <tt>type = 0</tt> only variables involved in VUBs are processed.
415        If <tt>type = n > 0</tt>, only the n most expensive VUB variables
416        are processed, where it is assumed that x is at its maximum so delta
417        would have to go to 1 (if x not at bound).
418
419        If \p allowMultipleBinary is true, then a VUB constraint is a row with
420        one continuous variable and any number of binary variables.
421
422        If <tt>useCutoff < 1.0e30</tt>, the original objective is installed as a
423        constraint with \p useCutoff as a bound.
424    */
425    bool tightenVubs(int type, bool allowMultipleBinary = false,
426                     double useCutoff = 1.0e50);
427
428    /** \brief For variables involved in VUB constraints, see if we can tighten
429           bounds by solving lp's
430
431      This version is just handed a list of variables to be processed.
432    */
433    bool tightenVubs(int numberVubs, const int * which,
434                     double useCutoff = 1.0e50);
435    /**
436      Analyze problem to find a minimum change in the objective function.
437    */
438    void analyzeObjective();
439
440    /**
441      Add additional integers.
442    */
443    void AddIntegers();
444    /**
445      Save copy of the model.
446    */
447    void saveModel(OsiSolverInterface * saveSolver, double * checkCutoffForRestart, bool * feasible);
448    /**
449      Flip direction of optimization on all models
450    */
451    void flipModel();
452
453    //@}
454
455    /** \name Object manipulation routines
456
457      See OsiObject for an explanation of `object' in the context of CbcModel.
458    */
459    //@{
460
461    /// Get the number of objects
462    inline int numberObjects() const {
463        return numberObjects_;
464    }
465    /// Set the number of objects
466    inline void setNumberObjects(int number) {
467        numberObjects_ = number;
468    }
469
470    /// Get the array of objects
471    inline OsiObject ** objects() const {
472        return object_;
473    }
474
475    /// Get the specified object
476    const inline OsiObject * object(int which) const {
477        return object_[which];
478    }
479    /// Get the specified object
480    inline OsiObject * modifiableObject(int which) const {
481        return object_[which];
482    }
483
484    void setOptionalInteger(int index);
485
486    /// Delete all object information (and just back to integers if true)
487    void deleteObjects(bool findIntegers = true);
488
489    /** Add in object information.
490
491      Objects are cloned; the owner can delete the originals.
492    */
493    void addObjects(int numberObjects, OsiObject ** objects);
494
495    /** Add in object information.
496
497      Objects are cloned; the owner can delete the originals.
498    */
499    void addObjects(int numberObjects, CbcObject ** objects);
500
501    /// Ensure attached objects point to this model.
502    void synchronizeModel() ;
503
504    /** \brief Identify integer variables and create corresponding objects.
505
506      Record integer variables and create an CbcSimpleInteger object for each
507      one.
508      If \p startAgain is true, a new scan is forced, overwriting any existing
509      integer variable information.
510      If type > 0 then 1==PseudoCost, 2 new ones low priority
511    */
512
513    void findIntegers(bool startAgain, int type = 0);
514
515    //@}
516
517    //---------------------------------------------------------------------------
518
519    /**@name Parameter set/get methods
520
521       The set methods return true if the parameter was set to the given value,
522       false if the value of the parameter is out of range.
523
524       The get methods return the value of the parameter.
525
526    */
527    //@{
528    /// Set an integer parameter
529    inline bool setIntParam(CbcIntParam key, int value) {
530        intParam_[key] = value;
531        return true;
532    }
533    /// Set a double parameter
534    inline bool setDblParam(CbcDblParam key, double value) {
535        dblParam_[key] = value;
536        return true;
537    }
538    /// Get an integer parameter
539    inline int getIntParam(CbcIntParam key) const {
540        return intParam_[key];
541    }
542    /// Get a double parameter
543    inline double getDblParam(CbcDblParam key) const {
544        return dblParam_[key];
545    }
546    /*! \brief Set cutoff bound on the objective function.
547
548      When using strict comparison, the bound is adjusted by a tolerance to
549      avoid accidentally cutting off the optimal solution.
550    */
551    void setCutoff(double value) ;
552
553    /// Get the cutoff bound on the objective function - always as minimize
554    inline double getCutoff() const { //double value ;
555        //solver_->getDblParam(OsiDualObjectiveLimit,value) ;
556        //assert( dblParam_[CbcCurrentCutoff]== value * solver_->getObjSense());
557        return dblParam_[CbcCurrentCutoff];
558    }
559
560    /// Set the \link CbcModel::CbcMaxNumNode maximum node limit \endlink
561    inline bool setMaximumNodes( int value) {
562        return setIntParam(CbcMaxNumNode, value);
563    }
564
565    /// Get the \link CbcModel::CbcMaxNumNode maximum node limit \endlink
566    inline int getMaximumNodes() const {
567        return getIntParam(CbcMaxNumNode);
568    }
569
570    /** Set the
571        \link CbcModel::CbcMaxNumSol maximum number of solutions \endlink
572        desired.
573    */
574    inline bool setMaximumSolutions( int value) {
575        return setIntParam(CbcMaxNumSol, value);
576    }
577    /** Get the
578        \link CbcModel::CbcMaxNumSol maximum number of solutions \endlink
579        desired.
580    */
581    inline int getMaximumSolutions() const {
582        return getIntParam(CbcMaxNumSol);
583    }
584    /// Set the printing mode
585    inline bool setPrintingMode( int value) {
586        return setIntParam(CbcPrinting, value);
587    }
588
589    /// Get the printing mode
590    inline int getPrintingMode() const {
591        return getIntParam(CbcPrinting);
592    }
593
594    /** Set the
595        \link CbcModel::CbcMaximumSeconds maximum number of seconds \endlink
596        desired.
597    */
598    inline bool setMaximumSeconds( double value) {
599        return setDblParam(CbcMaximumSeconds, value);
600    }
601    /** Get the
602        \link CbcModel::CbcMaximumSeconds maximum number of seconds \endlink
603        desired.
604    */
605    inline double getMaximumSeconds() const {
606        return getDblParam(CbcMaximumSeconds);
607    }
608    /// Current time since start of branchAndbound
609    double getCurrentSeconds() const ;
610
611    /// Return true if maximum time reached
612    bool maximumSecondsReached() const ;
613
614    /** Set the
615      \link CbcModel::CbcIntegerTolerance integrality tolerance \endlink
616    */
617    inline bool setIntegerTolerance( double value) {
618        return setDblParam(CbcIntegerTolerance, value);
619    }
620    /** Get the
621      \link CbcModel::CbcIntegerTolerance integrality tolerance \endlink
622    */
623    inline double getIntegerTolerance() const {
624        return getDblParam(CbcIntegerTolerance);
625    }
626
627    /** Set the
628        \link CbcModel::CbcInfeasibilityWeight
629          weight per integer infeasibility \endlink
630    */
631    inline bool setInfeasibilityWeight( double value) {
632        return setDblParam(CbcInfeasibilityWeight, value);
633    }
634    /** Get the
635        \link CbcModel::CbcInfeasibilityWeight
636          weight per integer infeasibility \endlink
637    */
638    inline double getInfeasibilityWeight() const {
639        return getDblParam(CbcInfeasibilityWeight);
640    }
641
642    /** Set the \link CbcModel::CbcAllowableGap allowable gap \endlink
643        between the best known solution and the best possible solution.
644    */
645    inline bool setAllowableGap( double value) {
646        return setDblParam(CbcAllowableGap, value);
647    }
648    /** Get the \link CbcModel::CbcAllowableGap allowable gap \endlink
649        between the best known solution and the best possible solution.
650    */
651    inline double getAllowableGap() const {
652        return getDblParam(CbcAllowableGap);
653    }
654
655    /** Set the \link CbcModel::CbcAllowableFractionGap fraction allowable gap \endlink
656        between the best known solution and the best possible solution.
657    */
658    inline bool setAllowableFractionGap( double value) {
659        return setDblParam(CbcAllowableFractionGap, value);
660    }
661    /** Get the \link CbcModel::CbcAllowableFractionGap fraction allowable gap \endlink
662        between the best known solution and the best possible solution.
663    */
664    inline double getAllowableFractionGap() const {
665        return getDblParam(CbcAllowableFractionGap);
666    }
667    /** Set the \link CbcModel::CbcAllowableFractionGap percentage allowable gap \endlink
668        between the best known solution and the best possible solution.
669    */
670    inline bool setAllowablePercentageGap( double value) {
671        return setDblParam(CbcAllowableFractionGap, value*0.01);
672    }
673    /** Get the \link CbcModel::CbcAllowableFractionGap percentage allowable gap \endlink
674        between the best known solution and the best possible solution.
675    */
676    inline double getAllowablePercentageGap() const {
677        return 100.0*getDblParam(CbcAllowableFractionGap);
678    }
679    /** Set the \link CbcModel::CbcHeuristicGap heuristic gap \endlink
680        between the best known solution and the best possible solution.
681    */
682    inline bool setHeuristicGap( double value) {
683        return setDblParam(CbcHeuristicGap, value);
684    }
685    /** Get the \link CbcModel::CbcHeuristicGap heuristic gap \endlink
686        between the best known solution and the best possible solution.
687    */
688    inline double getHeuristicGap() const {
689        return getDblParam(CbcHeuristicGap);
690    }
691
692    /** Set the \link CbcModel::CbcHeuristicFractionGap fraction heuristic gap \endlink
693        between the best known solution and the best possible solution.
694    */
695    inline bool setHeuristicFractionGap( double value) {
696        return setDblParam(CbcHeuristicFractionGap, value);
697    }
698    /** Get the \link CbcModel::CbcHeuristicFractionGap fraction heuristic gap \endlink
699        between the best known solution and the best possible solution.
700    */
701    inline double getHeuristicFractionGap() const {
702        return getDblParam(CbcHeuristicFractionGap);
703    }
704    /** Set the
705        \link CbcModel::CbcCutoffIncrement  \endlink
706        desired.
707    */
708    inline bool setCutoffIncrement( double value) {
709        return setDblParam(CbcCutoffIncrement, value);
710    }
711    /** Get the
712        \link CbcModel::CbcCutoffIncrement  \endlink
713        desired.
714    */
715    inline double getCutoffIncrement() const {
716        return getDblParam(CbcCutoffIncrement);
717    }
718    /// See if can stop on gap
719    bool canStopOnGap() const;
720
721    /** Pass in target solution and optional priorities.
722        If priorities then >0 means only branch if incorrect
723        while <0 means branch even if correct. +1 or -1 are
724        highest priority */
725    void setHotstartSolution(const double * solution, const int * priorities = NULL) ;
726
727    /// Set the minimum drop to continue cuts
728    inline void setMinimumDrop(double value) {
729        minimumDrop_ = value;
730    }
731    /// Get the minimum drop to continue cuts
732    inline double getMinimumDrop() const {
733        return minimumDrop_;
734    }
735
736    /** Set the maximum number of cut passes at root node (default 20)
737        Minimum drop can also be used for fine tuning */
738    inline void setMaximumCutPassesAtRoot(int value) {
739        maximumCutPassesAtRoot_ = value;
740    }
741    /** Get the maximum number of cut passes at root node */
742    inline int getMaximumCutPassesAtRoot() const {
743        return maximumCutPassesAtRoot_;
744    }
745
746    /** Set the maximum number of cut passes at other nodes (default 10)
747        Minimum drop can also be used for fine tuning */
748    inline void setMaximumCutPasses(int value) {
749        maximumCutPasses_ = value;
750    }
751    /** Get the maximum number of cut passes at other nodes (default 10) */
752    inline int getMaximumCutPasses() const {
753        return maximumCutPasses_;
754    }
755    /** Get current cut pass number in this round of cuts.
756        (1 is first pass) */
757    inline int getCurrentPassNumber() const {
758        return currentPassNumber_;
759    }
760
761    /** Set the maximum number of candidates to be evaluated for strong
762      branching.
763
764      A value of 0 disables strong branching.
765    */
766    void setNumberStrong(int number);
767    /** Get the maximum number of candidates to be evaluated for strong
768      branching.
769    */
770    inline int numberStrong() const {
771        return numberStrong_;
772    }
773    /** Set global preferred way to branch
774        -1 down, +1 up, 0 no preference */
775    inline void setPreferredWay(int value) {
776        preferredWay_ = value;
777    }
778    /** Get the preferred way to branch (default 0) */
779    inline int getPreferredWay() const {
780        return preferredWay_;
781    }
782    /// Get at which depths to do cuts
783    inline int whenCuts() const {
784        return whenCuts_;
785    }
786    /// Set at which depths to do cuts
787    inline void setWhenCuts(int value) {
788        whenCuts_ = value;
789    }
790    /** Return true if we want to do cuts
791        If allowForTopOfTree zero then just does on multiples of depth
792        if 1 then allows for doing at top of tree
793        if 2 then says if cuts allowed anywhere apart from root
794    */
795    bool doCutsNow(int allowForTopOfTree) const;
796
797    /** Set the number of branches before pseudo costs believed
798        in dynamic strong branching.
799
800      A value of 0 disables dynamic strong branching.
801    */
802    void setNumberBeforeTrust(int number);
803    /** get the number of branches before pseudo costs believed
804        in dynamic strong branching. */
805    inline int numberBeforeTrust() const {
806        return numberBeforeTrust_;
807    }
808    /** Set the number of variables for which to compute penalties
809        in dynamic strong branching.
810
811      A value of 0 disables penalties.
812    */
813    void setNumberPenalties(int number);
814    /** get the number of variables for which to compute penalties
815        in dynamic strong branching. */
816    inline int numberPenalties() const {
817        return numberPenalties_;
818    }
819    /// Pointer to top of tree
820    inline const CbcFullNodeInfo * topOfTree() const
821    { return topOfTree_;}
822    /// Number of analyze iterations to do
823    inline void setNumberAnalyzeIterations(int number) {
824        numberAnalyzeIterations_ = number;
825    }
826    inline int numberAnalyzeIterations() const {
827        return numberAnalyzeIterations_;
828    }
829    /** Get scale factor to make penalties match strong.
830        Should/will be computed */
831    inline double penaltyScaleFactor() const {
832        return penaltyScaleFactor_;
833    }
834    /** Set scale factor to make penalties match strong.
835        Should/will be computed */
836    void setPenaltyScaleFactor(double value);
837    /** Problem type as set by user or found by analysis.  This will be extended
838        0 - not known
839        1 - Set partitioning <=
840        2 - Set partitioning ==
841        3 - Set covering
842        4 - all +- 1 or all +1 and odd
843    */
844    void inline setProblemType(int number) {
845        problemType_ = number;
846    }
847    inline int problemType() const {
848        return problemType_;
849    }
850    /// Current depth
851    inline int currentDepth() const {
852        return currentDepth_;
853    }
854
855    /// Set how often to scan global cuts
856    void setHowOftenGlobalScan(int number);
857    /// Get how often to scan global cuts
858    inline int howOftenGlobalScan() const {
859        return howOftenGlobalScan_;
860    }
861    /// Original columns as created by integerPresolve or preprocessing
862    inline int * originalColumns() const {
863        return originalColumns_;
864    }
865    /// Set original columns as created by preprocessing
866    void setOriginalColumns(const int * originalColumns,
867                            int numberGood=COIN_INT_MAX) ;
868    /// Create conflict cut (well - most of)
869    OsiRowCut * conflictCut(const OsiSolverInterface * solver, bool & localCuts);
870
871    /** Set the print frequency.
872
873      Controls the number of nodes evaluated between status prints.
874      If <tt>number <=0</tt> the print frequency is set to 100 nodes for large
875      problems, 1000 for small problems.
876      Print frequency has very slight overhead if small.
877    */
878    inline void setPrintFrequency(int number) {
879        printFrequency_ = number;
880    }
881    /// Get the print frequency
882    inline int printFrequency() const {
883        return printFrequency_;
884    }
885    //@}
886
887    //---------------------------------------------------------------------------
888    ///@name Methods returning info on how the solution process terminated
889    //@{
890    /// Are there a numerical difficulties?
891    bool isAbandoned() const;
892    /// Is optimality proven?
893    bool isProvenOptimal() const;
894    /// Is  infeasiblity proven (or none better than cutoff)?
895    bool isProvenInfeasible() const;
896    /// Was continuous solution unbounded
897    bool isContinuousUnbounded() const;
898    /// Was continuous solution unbounded
899    bool isProvenDualInfeasible() const;
900    /// Node limit reached?
901    bool isNodeLimitReached() const;
902    /// Time limit reached?
903    bool isSecondsLimitReached() const;
904    /// Solution limit reached?
905    bool isSolutionLimitReached() const;
906    /// Get how many iterations it took to solve the problem.
907    inline int getIterationCount() const {
908        return numberIterations_;
909    }
910    /// Increment how many iterations it took to solve the problem.
911    inline void incrementIterationCount(int value) {
912        numberIterations_ += value;
913    }
914    /// Get how many Nodes it took to solve the problem (including those in complete fathoming B&B inside CLP).
915    inline int getNodeCount() const {
916        return numberNodes_;
917    }
918    /// Increment how many nodes it took to solve the problem.
919    inline void incrementNodeCount(int value) {
920        numberNodes_ += value;
921    }
922    /// Get how many Nodes were enumerated in complete fathoming B&B inside CLP
923    inline int getExtraNodeCount() const {
924       return numberExtraNodes_;
925    }
926    /** Final status of problem
927        Some of these can be found out by is...... functions
928        -1 before branchAndBound
929        0 finished - check isProvenOptimal or isProvenInfeasible to see if solution found
930        (or check value of best solution)
931        1 stopped - on maxnodes, maxsols, maxtime
932        2 difficulties so run was abandoned
933        (5 event user programmed event occurred)
934    */
935    inline int status() const {
936        return status_;
937    }
938    inline void setProblemStatus(int value) {
939        status_ = value;
940    }
941    /** Secondary status of problem
942        -1 unset (status_ will also be -1)
943        0 search completed with solution
944        1 linear relaxation not feasible (or worse than cutoff)
945        2 stopped on gap
946        3 stopped on nodes
947        4 stopped on time
948        5 stopped on user event
949        6 stopped on solutions
950        7 linear relaxation unbounded
951        8 stopped on iteration limit
952    */
953    inline int secondaryStatus() const {
954        return secondaryStatus_;
955    }
956    inline void setSecondaryStatus(int value) {
957        secondaryStatus_ = value;
958    }
959    /// Are there numerical difficulties (for initialSolve) ?
960    bool isInitialSolveAbandoned() const ;
961    /// Is optimality proven (for initialSolve) ?
962    bool isInitialSolveProvenOptimal() const ;
963    /// Is primal infeasiblity proven (for initialSolve) ?
964    bool isInitialSolveProvenPrimalInfeasible() const ;
965    /// Is dual infeasiblity proven (for initialSolve) ?
966    bool isInitialSolveProvenDualInfeasible() const ;
967
968    //@}
969
970    //---------------------------------------------------------------------------
971    /**@name Problem information methods
972
973       These methods call the solver's query routines to return
974       information about the problem referred to by the current object.
975       Querying a problem that has no data associated with it result in
976       zeros for the number of rows and columns, and NULL pointers from
977       the methods that return vectors.
978
979       Const pointers returned from any data-query method are valid as
980       long as the data is unchanged and the solver is not called.
981    */
982    //@{
983    /// Number of rows in continuous (root) problem.
984    inline int numberRowsAtContinuous() const {
985        return numberRowsAtContinuous_;
986    }
987
988    /// Get number of columns
989    inline int getNumCols() const {
990        return solver_->getNumCols();
991    }
992
993    /// Get number of rows
994    inline int getNumRows() const {
995        return solver_->getNumRows();
996    }
997
998    /// Get number of nonzero elements
999    inline CoinBigIndex getNumElements() const {
1000        return solver_->getNumElements();
1001    }
1002
1003    /// Number of integers in problem
1004    inline int numberIntegers() const {
1005        return numberIntegers_;
1006    }
1007    // Integer variables
1008    inline const int * integerVariable() const {
1009        return integerVariable_;
1010    }
1011    /// Whether or not integer
1012    inline char integerType(int i) const {
1013        assert (integerInfo_);
1014        assert (integerInfo_[i] == 0 || integerInfo_[i] == 1);
1015        return integerInfo_[i];
1016    }
1017    /// Whether or not integer
1018    inline const char * integerType() const {
1019        return integerInfo_;
1020    }
1021
1022    /// Get pointer to array[getNumCols()] of column lower bounds
1023    inline const double * getColLower() const {
1024        return solver_->getColLower();
1025    }
1026
1027    /// Get pointer to array[getNumCols()] of column upper bounds
1028    inline const double * getColUpper() const {
1029        return solver_->getColUpper();
1030    }
1031
1032    /** Get pointer to array[getNumRows()] of row constraint senses.
1033        <ul>
1034        <li>'L': <= constraint
1035        <li>'E': =  constraint
1036        <li>'G': >= constraint
1037        <li>'R': ranged constraint
1038        <li>'N': free constraint
1039        </ul>
1040    */
1041    inline const char * getRowSense() const {
1042        return solver_->getRowSense();
1043    }
1044
1045    /** Get pointer to array[getNumRows()] of rows right-hand sides
1046        <ul>
1047        <li> if rowsense()[i] == 'L' then rhs()[i] == rowupper()[i]
1048        <li> if rowsense()[i] == 'G' then rhs()[i] == rowlower()[i]
1049        <li> if rowsense()[i] == 'R' then rhs()[i] == rowupper()[i]
1050        <li> if rowsense()[i] == 'N' then rhs()[i] == 0.0
1051        </ul>
1052    */
1053    inline const double * getRightHandSide() const {
1054        return solver_->getRightHandSide();
1055    }
1056
1057    /** Get pointer to array[getNumRows()] of row ranges.
1058        <ul>
1059        <li> if rowsense()[i] == 'R' then
1060        rowrange()[i] == rowupper()[i] - rowlower()[i]
1061        <li> if rowsense()[i] != 'R' then
1062        rowrange()[i] is 0.0
1063        </ul>
1064    */
1065    inline const double * getRowRange() const {
1066        return solver_->getRowRange();
1067    }
1068
1069    /// Get pointer to array[getNumRows()] of row lower bounds
1070    inline const double * getRowLower() const {
1071        return solver_->getRowLower();
1072    }
1073
1074    /// Get pointer to array[getNumRows()] of row upper bounds
1075    inline const double * getRowUpper() const {
1076        return solver_->getRowUpper();
1077    }
1078
1079    /// Get pointer to array[getNumCols()] of objective function coefficients
1080    inline const double * getObjCoefficients() const {
1081        return solver_->getObjCoefficients();
1082    }
1083
1084    /// Get objective function sense (1 for min (default), -1 for max)
1085    inline double getObjSense() const {
1086        //assert (dblParam_[CbcOptimizationDirection]== solver_->getObjSense());
1087        return dblParam_[CbcOptimizationDirection];
1088    }
1089
1090    /// Return true if variable is continuous
1091    inline bool isContinuous(int colIndex) const {
1092        return solver_->isContinuous(colIndex);
1093    }
1094
1095    /// Return true if variable is binary
1096    inline bool isBinary(int colIndex) const {
1097        return solver_->isBinary(colIndex);
1098    }
1099
1100    /** Return true if column is integer.
1101        Note: This function returns true if the the column
1102        is binary or a general integer.
1103    */
1104    inline bool isInteger(int colIndex) const {
1105        return solver_->isInteger(colIndex);
1106    }
1107
1108    /// Return true if variable is general integer
1109    inline bool isIntegerNonBinary(int colIndex) const {
1110        return solver_->isIntegerNonBinary(colIndex);
1111    }
1112
1113    /// Return true if variable is binary and not fixed at either bound
1114    inline bool isFreeBinary(int colIndex) const {
1115        return solver_->isFreeBinary(colIndex) ;
1116    }
1117
1118    /// Get pointer to row-wise copy of matrix
1119    inline const CoinPackedMatrix * getMatrixByRow() const {
1120        return solver_->getMatrixByRow();
1121    }
1122
1123    /// Get pointer to column-wise copy of matrix
1124    inline const CoinPackedMatrix * getMatrixByCol() const {
1125        return solver_->getMatrixByCol();
1126    }
1127
1128    /// Get solver's value for infinity
1129    inline double getInfinity() const {
1130        return solver_->getInfinity();
1131    }
1132    /// Get pointer to array[getNumCols()] (for speed) of column lower bounds
1133    inline const double * getCbcColLower() const {
1134        return cbcColLower_;
1135    }
1136    /// Get pointer to array[getNumCols()] (for speed) of column upper bounds
1137    inline const double * getCbcColUpper() const {
1138        return cbcColUpper_;
1139    }
1140    /// Get pointer to array[getNumRows()] (for speed) of row lower bounds
1141    inline const double * getCbcRowLower() const {
1142        return cbcRowLower_;
1143    }
1144    /// Get pointer to array[getNumRows()] (for speed) of row upper bounds
1145    inline const double * getCbcRowUpper() const {
1146        return cbcRowUpper_;
1147    }
1148    /// Get pointer to array[getNumCols()] (for speed) of primal solution vector
1149    inline const double * getCbcColSolution() const {
1150        return cbcColSolution_;
1151    }
1152    /// Get pointer to array[getNumRows()] (for speed) of dual prices
1153    inline const double * getCbcRowPrice() const {
1154        return cbcRowPrice_;
1155    }
1156    /// Get a pointer to array[getNumCols()] (for speed) of reduced costs
1157    inline const double * getCbcReducedCost() const {
1158        return cbcReducedCost_;
1159    }
1160    /// Get pointer to array[getNumRows()] (for speed) of row activity levels.
1161    inline const double * getCbcRowActivity() const {
1162        return cbcRowActivity_;
1163    }
1164    //@}
1165
1166
1167    /**@name Methods related to querying the solution */
1168    //@{
1169    /// Holds solution at continuous (after cuts if branchAndBound called)
1170    inline double * continuousSolution() const {
1171        return continuousSolution_;
1172    }
1173    /** Array marked whenever a solution is found if non-zero.
1174        Code marks if heuristic returns better so heuristic
1175        need only mark if it wants to on solutions which
1176        are worse than current */
1177    inline int * usedInSolution() const {
1178        return usedInSolution_;
1179    }
1180    /// Increases usedInSolution for nonzeros
1181    void incrementUsed(const double * solution);
1182    /// Record a new incumbent solution and update objectiveValue
1183    void setBestSolution(CBC_Message how,
1184                         double & objectiveValue, const double *solution,
1185                         int fixVariables = 0);
1186    /// Just update objectiveValue
1187    void setBestObjectiveValue( double objectiveValue);
1188    /// Deals with event handler and solution
1189    CbcEventHandler::CbcAction dealWithEventHandler(CbcEventHandler::CbcEvent event,
1190            double objValue,
1191            const double * solution);
1192
1193    /** Call this to really test if a valid solution can be feasible
1194        Solution is number columns in size.
1195        If fixVariables true then bounds of continuous solver updated.
1196        Returns objective value (worse than cutoff if not feasible)
1197        Previously computed objective value is now passed in (in case user does not do solve)
1198        virtual so user can override
1199    */
1200    virtual double checkSolution(double cutoff, double * solution,
1201                         int fixVariables, double originalObjValue);
1202    /** Test the current solution for feasiblility.
1203
1204      Scan all objects for indications of infeasibility. This is broken down
1205      into simple integer infeasibility (\p numberIntegerInfeasibilities)
1206      and all other reports of infeasibility (\p numberObjectInfeasibilities).
1207    */
1208    bool feasibleSolution(int & numberIntegerInfeasibilities,
1209                          int & numberObjectInfeasibilities) const;
1210
1211    /** Solution to the most recent lp relaxation.
1212
1213      The solver's solution to the most recent lp relaxation.
1214    */
1215
1216    inline double * currentSolution() const {
1217        return currentSolution_;
1218    }
1219    /** For testing infeasibilities - will point to
1220        currentSolution_ or solver-->getColSolution()
1221    */
1222    inline const double * testSolution() const {
1223        return testSolution_;
1224    }
1225    inline void setTestSolution(const double * solution) {
1226        testSolution_ = solution;
1227    }
1228    /// Make sure region there and optionally copy solution
1229    void reserveCurrentSolution(const double * solution = NULL);
1230
1231    /// Get pointer to array[getNumCols()] of primal solution vector
1232    inline const double * getColSolution() const {
1233        return solver_->getColSolution();
1234    }
1235
1236    /// Get pointer to array[getNumRows()] of dual prices
1237    inline const double * getRowPrice() const {
1238        return solver_->getRowPrice();
1239    }
1240
1241    /// Get a pointer to array[getNumCols()] of reduced costs
1242    inline const double * getReducedCost() const {
1243        return solver_->getReducedCost();
1244    }
1245
1246    /// Get pointer to array[getNumRows()] of row activity levels.
1247    inline const double * getRowActivity() const {
1248        return solver_->getRowActivity();
1249    }
1250
1251    /// Get current objective function value
1252    inline double getCurrentObjValue() const {
1253        return dblParam_[CbcCurrentObjectiveValue];
1254    }
1255    /// Get current minimization objective function value
1256    inline double getCurrentMinimizationObjValue() const {
1257        return dblParam_[CbcCurrentMinimizationObjectiveValue];
1258    }
1259
1260    /// Get best objective function value as minimization
1261    inline double getMinimizationObjValue() const {
1262        return bestObjective_;
1263    }
1264    /// Set best objective function value as minimization
1265    inline void setMinimizationObjValue(double value) {
1266        bestObjective_ = value;
1267    }
1268
1269    /// Get best objective function value
1270    inline double getObjValue() const {
1271        return bestObjective_ * solver_->getObjSense() ;
1272    }
1273    /** Get best possible objective function value.
1274        This is better of best possible left on tree
1275        and best solution found.
1276        If called from within branch and cut may be optimistic.
1277    */
1278    double getBestPossibleObjValue() const;
1279    /// Set best objective function value
1280    inline void setObjValue(double value) {
1281        bestObjective_ = value * solver_->getObjSense() ;
1282    }
1283    /// Get solver objective function value (as minimization)
1284    inline double getSolverObjValue() const {
1285        return solver_->getObjValue() * solver_->getObjSense() ;
1286    }
1287
1288    /** The best solution to the integer programming problem.
1289
1290      The best solution to the integer programming problem found during
1291      the search. If no solution is found, the method returns null.
1292    */
1293
1294    inline double * bestSolution() const {
1295        return bestSolution_;
1296    }
1297    /** User callable setBestSolution.
1298        If check false does not check valid
1299        If true then sees if feasible and warns if objective value
1300        worse than given (so just set to COIN_DBL_MAX if you don't care).
1301        If check true then does not save solution if not feasible
1302    */
1303    void setBestSolution(const double * solution, int numberColumns,
1304                         double objectiveValue, bool check = false);
1305
1306    /// Get number of solutions
1307    inline int getSolutionCount() const {
1308        return numberSolutions_;
1309    }
1310
1311    /// Set number of solutions (so heuristics will be different)
1312    inline void setSolutionCount(int value) {
1313        numberSolutions_ = value;
1314    }
1315    /// Number of saved solutions (including best)
1316    int numberSavedSolutions() const;
1317    /// Maximum number of extra saved solutions
1318    inline int maximumSavedSolutions() const {
1319        return maximumSavedSolutions_;
1320    }
1321    /// Set maximum number of extra saved solutions
1322    void setMaximumSavedSolutions(int value);
1323    /// Return a saved solution (0==best) - NULL if off end
1324    const double * savedSolution(int which) const;
1325    /// Return a saved solution objective (0==best) - COIN_DBL_MAX if off end
1326    double savedSolutionObjective(int which) const;
1327    /// Delete a saved solution and move others up
1328    void deleteSavedSolution(int which);
1329
1330    /** Current phase (so heuristics etc etc can find out).
1331        0 - initial solve
1332        1 - solve with cuts at root
1333        2 - solve with cuts
1334        3 - other e.g. strong branching
1335        4 - trying to validate a solution
1336        5 - at end of search
1337    */
1338    inline int phase() const {
1339        return phase_;
1340    }
1341
1342    /// Get number of heuristic solutions
1343    inline int getNumberHeuristicSolutions() const {
1344        return numberHeuristicSolutions_;
1345    }
1346    /// Set number of heuristic solutions
1347    inline void setNumberHeuristicSolutions(int value) {
1348        numberHeuristicSolutions_ = value;
1349    }
1350
1351    /// Set objective function sense (1 for min (default), -1 for max,)
1352    inline void setObjSense(double s) {
1353        dblParam_[CbcOptimizationDirection] = s;
1354        solver_->setObjSense(s);
1355    }
1356
1357    /// Value of objective at continuous
1358    inline double getContinuousObjective() const {
1359        return originalContinuousObjective_;
1360    }
1361    inline void setContinuousObjective(double value) {
1362        originalContinuousObjective_ = value;
1363    }
1364    /// Number of infeasibilities at continuous
1365    inline int getContinuousInfeasibilities() const {
1366        return continuousInfeasibilities_;
1367    }
1368    inline void setContinuousInfeasibilities(int value) {
1369        continuousInfeasibilities_ = value;
1370    }
1371    /// Value of objective after root node cuts added
1372    inline double rootObjectiveAfterCuts() const {
1373        return continuousObjective_;
1374    }
1375    /// Sum of Changes to objective by first solve
1376    inline double sumChangeObjective() const {
1377        return sumChangeObjective1_;
1378    }
1379    /** Number of times global cuts violated.  When global cut pool then this
1380        should be kept for each cut and type of cut */
1381    inline int numberGlobalViolations() const {
1382        return numberGlobalViolations_;
1383    }
1384    inline void clearNumberGlobalViolations() {
1385        numberGlobalViolations_ = 0;
1386    }
1387    /// Whether to force a resolve after takeOffCuts
1388    inline bool resolveAfterTakeOffCuts() const {
1389        return resolveAfterTakeOffCuts_;
1390    }
1391    inline void setResolveAfterTakeOffCuts(bool yesNo) {
1392        resolveAfterTakeOffCuts_ = yesNo;
1393    }
1394    /// Maximum number of rows
1395    inline int maximumRows() const {
1396        return maximumRows_;
1397    }
1398    /// Work basis for temporary use
1399    inline CoinWarmStartBasis & workingBasis() {
1400        return workingBasis_;
1401    }
1402    /// Get number of "iterations" to stop after
1403    inline int getStopNumberIterations() const {
1404        return stopNumberIterations_;
1405    }
1406    /// Set number of "iterations" to stop after
1407    inline void setStopNumberIterations(int value) {
1408        stopNumberIterations_ = value;
1409    }
1410    /// A pointer to model from CbcHeuristic
1411    inline CbcModel * heuristicModel() const
1412    { return heuristicModel_;}
1413    /// Set a pointer to model from CbcHeuristic
1414    inline void setHeuristicModel(CbcModel * model)
1415    { heuristicModel_ = model;}
1416    //@}
1417
1418    /** \name Node selection */
1419    //@{
1420    // Comparison functions (which may be overridden by inheritance)
1421    inline CbcCompareBase * nodeComparison() const {
1422        return nodeCompare_;
1423    }
1424    void setNodeComparison(CbcCompareBase * compare);
1425    void setNodeComparison(CbcCompareBase & compare);
1426    //@}
1427
1428    /** \name Problem feasibility checking */
1429    //@{
1430    // Feasibility functions (which may be overridden by inheritance)
1431    inline CbcFeasibilityBase * problemFeasibility() const {
1432        return problemFeasibility_;
1433    }
1434    void setProblemFeasibility(CbcFeasibilityBase * feasibility);
1435    void setProblemFeasibility(CbcFeasibilityBase & feasibility);
1436    //@}
1437
1438    /** \name Tree methods and subtree methods */
1439    //@{
1440    /// Tree method e.g. heap (which may be overridden by inheritance)
1441    inline CbcTree * tree() const {
1442        return tree_;
1443    }
1444    /// For modifying tree handling (original is cloned)
1445    void passInTreeHandler(CbcTree & tree);
1446    /** For passing in an CbcModel to do a sub Tree (with derived tree handlers).
1447        Passed in model must exist for duration of branch and bound
1448    */
1449    void passInSubTreeModel(CbcModel & model);
1450    /** For retrieving a copy of subtree model with given OsiSolver.
1451        If no subtree model will use self (up to user to reset cutoff etc).
1452        If solver NULL uses current
1453    */
1454    CbcModel * subTreeModel(OsiSolverInterface * solver = NULL) const;
1455    /// Returns number of times any subtree stopped on nodes, time etc
1456    inline int numberStoppedSubTrees() const {
1457        return numberStoppedSubTrees_;
1458    }
1459    /// Says a sub tree was stopped
1460    inline void incrementSubTreeStopped() {
1461        numberStoppedSubTrees_++;
1462    }
1463    /** Whether to automatically do presolve before branch and bound (subTrees).
1464        0 - no
1465        1 - ordinary presolve
1466        2 - integer presolve (dodgy)
1467    */
1468    inline int typePresolve() const {
1469        return presolve_;
1470    }
1471    inline void setTypePresolve(int value) {
1472        presolve_ = value;
1473    }
1474
1475    //@}
1476
1477    /** \name Branching Decisions
1478
1479      See the CbcBranchDecision class for additional information.
1480    */
1481    //@{
1482
1483    /// Get the current branching decision method.
1484    inline CbcBranchDecision * branchingMethod() const {
1485        return branchingMethod_;
1486    }
1487    /// Set the branching decision method.
1488    inline void setBranchingMethod(CbcBranchDecision * method) {
1489        delete branchingMethod_;
1490        branchingMethod_ = method->clone();
1491    }
1492    /** Set the branching method
1493
1494      \overload
1495    */
1496    inline void setBranchingMethod(CbcBranchDecision & method) {
1497        delete branchingMethod_;
1498        branchingMethod_ = method.clone();
1499    }
1500    /// Get the current cut modifier method
1501    inline CbcCutModifier * cutModifier() const {
1502        return cutModifier_;
1503    }
1504    /// Set the cut modifier method
1505    void setCutModifier(CbcCutModifier * modifier);
1506    /** Set the cut modifier method
1507
1508      \overload
1509    */
1510    void setCutModifier(CbcCutModifier & modifier);
1511    //@}
1512
1513    /** \name Row (constraint) and Column (variable) cut generation */
1514    //@{
1515
1516    /** State of search
1517        0 - no solution
1518        1 - only heuristic solutions
1519        2 - branched to a solution
1520        3 - no solution but many nodes
1521    */
1522    inline int stateOfSearch() const {
1523        return stateOfSearch_;
1524    }
1525    inline void setStateOfSearch(int state) {
1526        stateOfSearch_ = state;
1527    }
1528    /// Strategy worked out - mainly at root node for use by CbcNode
1529    inline int searchStrategy() const {
1530        return searchStrategy_;
1531    }
1532    /// Set strategy worked out - mainly at root node for use by CbcNode
1533    inline void setSearchStrategy(int value) {
1534        searchStrategy_ = value;
1535    }
1536    /// Stong branching strategy
1537    inline int strongStrategy() const {
1538        return strongStrategy_;
1539    }
1540    /// Set strong branching strategy
1541    inline void setStrongStrategy(int value) {
1542        strongStrategy_ = value;
1543    }
1544
1545    /// Get the number of cut generators
1546    inline int numberCutGenerators() const {
1547        return numberCutGenerators_;
1548    }
1549    /// Get the list of cut generators
1550    inline CbcCutGenerator ** cutGenerators() const {
1551        return generator_;
1552    }
1553    ///Get the specified cut generator
1554    inline CbcCutGenerator * cutGenerator(int i) const {
1555        return generator_[i];
1556    }
1557    ///Get the specified cut generator before any changes
1558    inline CbcCutGenerator * virginCutGenerator(int i) const {
1559        return virginGenerator_[i];
1560    }
1561    /** Add one generator - up to user to delete generators.
1562        howoften affects how generator is used. 0 or 1 means always,
1563        >1 means every that number of nodes.  Negative values have same
1564        meaning as positive but they may be switched off (-> -100) by code if
1565        not many cuts generated at continuous.  -99 is just done at root.
1566        Name is just for printout.
1567        If depth >0 overrides how often generator is called (if howOften==-1 or >0).
1568    */
1569    void addCutGenerator(CglCutGenerator * generator,
1570                         int howOften = 1, const char * name = NULL,
1571                         bool normal = true, bool atSolution = false,
1572                         bool infeasible = false, int howOftenInSub = -100,
1573                         int whatDepth = -1, int whatDepthInSub = -1);
1574//@}
1575    /** \name Strategy and sub models
1576
1577      See the CbcStrategy class for additional information.
1578    */
1579    //@{
1580
1581    /// Get the current strategy
1582    inline CbcStrategy * strategy() const {
1583        return strategy_;
1584    }
1585    /// Set the strategy. Clones
1586    void setStrategy(CbcStrategy & strategy);
1587    /// Set the strategy. assigns
1588    inline void setStrategy(CbcStrategy * strategy) {
1589        strategy_ = strategy;
1590    }
1591    /// Get the current parent model
1592    inline CbcModel * parentModel() const {
1593        return parentModel_;
1594    }
1595    /// Set the parent model
1596    inline void setParentModel(CbcModel & parentModel) {
1597        parentModel_ = &parentModel;
1598    }
1599    //@}
1600
1601
1602    /** \name Heuristics and priorities */
1603    //@{
1604    /*! \brief Add one heuristic - up to user to delete
1605
1606      The name is just used for print messages.
1607    */
1608    void addHeuristic(CbcHeuristic * generator, const char *name = NULL,
1609                      int before = -1);
1610    ///Get the specified heuristic
1611    inline CbcHeuristic * heuristic(int i) const {
1612        return heuristic_[i];
1613    }
1614    /// Get the number of heuristics
1615    inline int numberHeuristics() const {
1616        return numberHeuristics_;
1617    }
1618    /// Set the number of heuristics
1619    inline void setNumberHeuristics(int value) {
1620        numberHeuristics_ = value;
1621    }
1622    /// Pointer to heuristic solver which found last solution (or NULL)
1623    inline CbcHeuristic * lastHeuristic() const {
1624        return lastHeuristic_;
1625    }
1626    /// set last heuristic which found a solution
1627    inline void setLastHeuristic(CbcHeuristic * last) {
1628        lastHeuristic_ = last;
1629    }
1630
1631    /** Pass in branching priorities.
1632
1633        If ifClique then priorities are on cliques otherwise priorities are
1634        on integer variables.
1635        Other type (if exists set to default)
1636        1 is highest priority. (well actually -INT_MAX is but that's ugly)
1637        If hotstart > 0 then branches are created to force
1638        the variable to the value given by best solution.  This enables a
1639        sort of hot start.  The node choice should be greatest depth
1640        and hotstart should normally be switched off after a solution.
1641
1642        If ifNotSimpleIntegers true then appended to normal integers
1643
1644        This is now deprecated except for simple usage.  If user
1645        creates Cbcobjects then set priority in them
1646
1647        \internal Added for Kurt Spielberg.
1648    */
1649    void passInPriorities(const int * priorities, bool ifNotSimpleIntegers);
1650
1651    /// Returns priority level for an object (or 1000 if no priorities exist)
1652    inline int priority(int sequence) const {
1653        return object_[sequence]->priority();
1654    }
1655
1656    /*! \brief Set an event handler
1657
1658      A clone of the handler passed as a parameter is stored in CbcModel.
1659    */
1660    void passInEventHandler(const CbcEventHandler *eventHandler) ;
1661
1662    /*! \brief Retrieve a pointer to the event handler */
1663    inline CbcEventHandler* getEventHandler() const {
1664        return (eventHandler_) ;
1665    }
1666
1667    //@}
1668
1669    /**@name Setting/Accessing application data */
1670    //@{
1671    /** Set application data.
1672
1673    This is a pointer that the application can store into and
1674    retrieve from the solver interface.
1675    This field is available for the application to optionally
1676    define and use.
1677    */
1678    void setApplicationData (void * appData);
1679
1680    /// Get application data
1681    void * getApplicationData() const;
1682    /**
1683        For advanced applications you may wish to modify the behavior of Cbc
1684        e.g. if the solver is a NLP solver then you may not have an exact
1685        optimum solution at each step.  Information could be built into
1686        OsiSolverInterface but this is an alternative so that that interface
1687        does not have to be changed.  If something similar is useful to
1688        enough solvers then it could be migrated
1689        You can also pass in by using solver->setAuxiliaryInfo.
1690        You should do that if solver is odd - if solver is normal simplex
1691        then use this.
1692        NOTE - characteristics are not cloned
1693    */
1694    void passInSolverCharacteristics(OsiBabSolver * solverCharacteristics);
1695    /// Get solver characteristics
1696    inline const OsiBabSolver * solverCharacteristics() const {
1697        return solverCharacteristics_;
1698    }
1699    //@}
1700
1701    //---------------------------------------------------------------------------
1702
1703    /**@name Message handling etc */
1704    //@{
1705    /// Pass in Message handler (not deleted at end)
1706    void passInMessageHandler(CoinMessageHandler * handler);
1707    /// Set language
1708    void newLanguage(CoinMessages::Language language);
1709    inline void setLanguage(CoinMessages::Language language) {
1710        newLanguage(language);
1711    }
1712    /// Return handler
1713    inline CoinMessageHandler * messageHandler() const {
1714        return handler_;
1715    }
1716    /// Return messages
1717    inline CoinMessages & messages() {
1718        return messages_;
1719    }
1720    /// Return pointer to messages
1721    inline CoinMessages * messagesPointer() {
1722        return &messages_;
1723    }
1724    /// Set log level
1725    void setLogLevel(int value);
1726    /// Get log level
1727    inline int logLevel() const {
1728        return handler_->logLevel();
1729    }
1730    /** Set flag to say if handler_ is the default handler.
1731
1732      The default handler is deleted when the model is deleted. Other
1733      handlers (supplied by the client) will not be deleted.
1734    */
1735    inline void setDefaultHandler(bool yesNo) {
1736        defaultHandler_ = yesNo;
1737    }
1738    /// Check default handler
1739    inline bool defaultHandler() const {
1740        return defaultHandler_;
1741    }
1742    //@}
1743    //---------------------------------------------------------------------------
1744    ///@name Specialized
1745    //@{
1746
1747    /**
1748        Set special options
1749        0 bit (1) - check if cuts valid (if on debugger list)
1750        1 bit (2) - use current basis to check integer solution (rather than all slack)
1751        2 bit (4) - don't check integer solution (by solving LP)
1752        3 bit (8) - fast analyze
1753        4 bit (16) - non-linear model - so no well defined CoinPackedMatrix
1754        5 bit (32) - keep names
1755        6 bit (64) - try for dominated columns
1756        7 bit (128) - SOS type 1 but all declared integer
1757        8 bit (256) - Set to say solution just found, unset by doing cuts
1758        9 bit (512) - Try reduced model after 100 nodes
1759        10 bit (1024) - Switch on some heuristics even if seems unlikely
1760        11 bit (2048) - Mark as in small branch and bound
1761        12 bit (4096) - Funny cuts so do slow way (in some places)
1762        13 bit (8192) - Funny cuts so do slow way (in other places)
1763        14 bit (16384) - Use Cplex! for fathoming
1764        15 bit (32768) - Try reduced model after 0 nodes
1765        16 bit (65536) - Original model had integer bounds
1766        17 bit (131072) - Perturbation switched off
1767        18 bit (262144) - donor CbcModel
1768        19 bit (524288) - recipient CbcModel
1769        20 bit (1048576) - waiting for sub model to return
1770        22 bit (4194304) - do not initialize random seed in solver (user has)
1771        23 bit (8388608) - leave solver_ with cuts
1772    */
1773    inline void setSpecialOptions(int value) {
1774        specialOptions_ = value;
1775    }
1776    /// Get special options
1777    inline int specialOptions() const {
1778        return specialOptions_;
1779    }
1780    /// Set random seed
1781    inline void setRandomSeed(int value) {
1782        randomSeed_ = value;
1783    }
1784    /// Get random seed
1785    inline int getRandomSeed() const {
1786        return randomSeed_;
1787    }
1788    /// Set multiple root tries
1789    inline void setMultipleRootTries(int value) {
1790        multipleRootTries_ = value;
1791    }
1792    /// Get multiple root tries
1793    inline int getMultipleRootTries() const {
1794        return multipleRootTries_;
1795    }
1796    /// Tell model to stop on event
1797    inline void sayEventHappened()
1798    { eventHappened_=true;}
1799    /// Says if normal solver i.e. has well defined CoinPackedMatrix
1800    inline bool normalSolver() const {
1801        return (specialOptions_&16) == 0;
1802    }
1803    /** Says if model is sitting there waiting for mini branch and bound to finish
1804        This is because an event handler may only have access to parent model in
1805        mini branch and bound
1806    */
1807    inline bool waitingForMiniBranchAndBound() const {
1808        return (specialOptions_&1048576) != 0;
1809    }
1810    /** Set more special options
1811        at present bottom 6 bits used for shadow price mode
1812        1024 for experimental hotstart
1813        2048,4096 breaking out of cuts
1814        8192 slowly increase minimum drop
1815        16384 gomory
1816        32768 more heuristics in sub trees
1817        65536 no cuts in preprocessing
1818        131072 Time limits elapsed
1819        18 bit (262144) - Perturb fathom nodes
1820        19 bit (524288) - No limit on fathom nodes
1821        20 bit (1048576) - Reduce sum of infeasibilities before cuts
1822        21 bit (2097152) - Reduce sum of infeasibilities after cuts
1823        22 bit (4194304) - Conflict analysis
1824        23 bit (8388608) - Conflict analysis - temporary bit
1825        24 bit (16777216) - Add cutoff as LP constraint (out)
1826        25 bit (33554432) - diving/reordering
1827        26 bit (67108864) - load global cuts from file
1828        27 bit (134217728) - append binding global cuts to file
1829        28 bit (268435456) - idiot branching
1830        29 bit (536870912) - don't make fake objective
1831    */
1832    inline void setMoreSpecialOptions(int value) {
1833        moreSpecialOptions_ = value;
1834    }
1835    /// Get more special options
1836    inline int moreSpecialOptions() const {
1837        return moreSpecialOptions_;
1838    }
1839    /// Set cutoff as constraint
1840    inline void setCutoffAsConstraint(bool yesNo) {
1841      cutoffRowNumber_ = (yesNo) ? -2 : -1;
1842    }
1843    /// Set time method
1844    inline void setUseElapsedTime(bool yesNo) {
1845        if (yesNo)
1846          moreSpecialOptions_ |= 131072;
1847        else
1848          moreSpecialOptions_ &= ~131072;
1849    }
1850    /// Get time method
1851    inline bool useElapsedTime() const {
1852        return (moreSpecialOptions_&131072)!=0;
1853    }
1854    /// Get useful temporary pointer
1855    inline void * temporaryPointer() const
1856    { return temporaryPointer_;}
1857    /// Set useful temporary pointer
1858    inline void setTemporaryPointer(void * pointer)
1859    { temporaryPointer_=pointer;}
1860    /// Go to dantzig pivot selection if easy problem (clp only)
1861    void goToDantzig(int numberNodes, ClpDualRowPivot *& savePivotMethod);
1862    /// Now we may not own objects - just point to solver's objects
1863    inline bool ownObjects() const {
1864        return ownObjects_;
1865    }
1866    /// Check original model before it gets messed up
1867    void checkModel();
1868    //@}
1869    //---------------------------------------------------------------------------
1870
1871    ///@name Constructors and destructors etc
1872    //@{
1873    /// Default Constructor
1874    CbcModel();
1875
1876    /// Constructor from solver
1877    CbcModel(const OsiSolverInterface &);
1878
1879    /** Assign a solver to the model (model assumes ownership)
1880
1881      On return, \p solver will be NULL.
1882      If deleteSolver then current solver deleted (if model owned)
1883
1884      \note Parameter settings in the outgoing solver are not inherited by
1885        the incoming solver.
1886    */
1887    void assignSolver(OsiSolverInterface *&solver, bool deleteSolver = true);
1888
1889    /** \brief Set ownership of solver
1890
1891      A parameter of false tells CbcModel it does not own the solver and
1892      should not delete it. Once you claim ownership of the solver, you're
1893      responsible for eventually deleting it. Note that CbcModel clones
1894      solvers with abandon.  Unless you have a deep understanding of the
1895      workings of CbcModel, the only time you want to claim ownership is when
1896      you're about to delete the CbcModel object but want the solver to
1897      continue to exist (as, for example, when branchAndBound has finished
1898      and you want to hang on to the answer).
1899    */
1900    inline void setModelOwnsSolver (bool ourSolver) {
1901        ownership_ = ourSolver ? (ownership_ | 0x80000000) : (ownership_ & (~0x80000000)) ;
1902    }
1903
1904    /*! \brief Get ownership of solver
1905
1906      A return value of true means that CbcModel owns the solver and will
1907      take responsibility for deleting it when that becomes necessary.
1908    */
1909    inline bool modelOwnsSolver () {
1910        return ((ownership_&0x80000000) != 0) ;
1911    }
1912
1913    /** Copy constructor .
1914      If cloneHandler is true then message handler is cloned
1915    */
1916    CbcModel(const CbcModel & rhs, bool cloneHandler = false);
1917
1918    /** Clone */
1919    virtual CbcModel *clone (bool cloneHandler);
1920
1921    /// Assignment operator
1922    CbcModel & operator=(const CbcModel& rhs);
1923
1924    /// Destructor
1925    virtual ~CbcModel ();
1926
1927    /// Returns solver - has current state
1928    inline OsiSolverInterface * solver() const {
1929        return solver_;
1930    }
1931
1932    /// Returns current solver - sets new one
1933    inline OsiSolverInterface * swapSolver(OsiSolverInterface * solver) {
1934        OsiSolverInterface * returnSolver = solver_;
1935        solver_ = solver;
1936        return returnSolver;
1937    }
1938
1939    /// Returns solver with continuous state
1940    inline OsiSolverInterface * continuousSolver() const {
1941        return continuousSolver_;
1942    }
1943
1944    /// Create solver with continuous state
1945    inline void createContinuousSolver() {
1946        continuousSolver_ = solver_->clone();
1947    }
1948    /// Clear solver with continuous state
1949    inline void clearContinuousSolver() {
1950        delete continuousSolver_;
1951        continuousSolver_ = NULL;
1952    }
1953
1954    /// A copy of the solver, taken at constructor or by saveReferenceSolver
1955    inline OsiSolverInterface * referenceSolver() const {
1956        return referenceSolver_;
1957    }
1958
1959    /// Save a copy of the current solver so can be reset to
1960    void saveReferenceSolver();
1961
1962    /** Uses a copy of reference solver to be current solver.
1963        Because of possible mismatches all exotic integer information is loat
1964        (apart from normal information in OsiSolverInterface)
1965        so SOS etc and priorities will have to be redone
1966    */
1967    void resetToReferenceSolver();
1968
1969    /// Clears out as much as possible (except solver)
1970    void gutsOfDestructor();
1971    /** Clears out enough to reset CbcModel as if no branch and bound done
1972     */
1973    void gutsOfDestructor2();
1974    /** Clears out enough to reset CbcModel cutoff etc
1975     */
1976    void resetModel();
1977    /** Most of copy constructor
1978        mode - 0 copy but don't delete before
1979               1 copy and delete before
1980           2 copy and delete before (but use virgin generators)
1981    */
1982    void gutsOfCopy(const CbcModel & rhs, int mode = 0);
1983    /// Move status, nodes etc etc across
1984    void moveInfo(const CbcModel & rhs);
1985    //@}
1986
1987    ///@name Multithreading
1988    //@{
1989    /// Indicates whether Cbc library has been compiled with multithreading support
1990    static bool haveMultiThreadSupport();
1991    /// Get pointer to masterthread
1992    CbcThread * masterThread() const {
1993        return masterThread_;
1994    }
1995    /// Get pointer to walkback
1996    CbcNodeInfo ** walkback() const {
1997        return walkback_;
1998    }
1999    /// Get number of threads
2000    inline int getNumberThreads() const {
2001        return numberThreads_;
2002    }
2003    /// Set number of threads
2004    inline void setNumberThreads(int value) {
2005        numberThreads_ = value;
2006    }
2007    /// Get thread mode
2008    inline int getThreadMode() const {
2009        return threadMode_;
2010    }
2011    /** Set thread mode
2012        always use numberThreads for branching
2013        1 set then deterministic
2014        2 set then use numberThreads for root cuts
2015        4 set then use numberThreads in root mini branch and bound
2016        8 set and numberThreads - do heuristics numberThreads at a time
2017        8 set and numberThreads==0 do all heuristics at once
2018        default is 0
2019    */
2020    inline void setThreadMode(int value) {
2021        threadMode_ = value;
2022    }
2023    /** Return
2024        -2 if deterministic threaded and main thread
2025        -1 if deterministic threaded and serial thread
2026        0 if serial
2027        1 if opportunistic threaded
2028    */
2029    inline int parallelMode() const {
2030        if (!numberThreads_) {
2031            if ((threadMode_&1) == 0)
2032                return 0;
2033            else
2034                return -1;
2035            return 0;
2036        } else {
2037            if ((threadMode_&1) == 0)
2038                return 1;
2039            else
2040                return -2;
2041        }
2042    }
2043    /// Thread stuff for master
2044    inline CbcBaseModel * master() const
2045    { return master_;}
2046    /// From here to end of section - code in CbcThread.cpp until class changed
2047    /// Returns true if locked
2048    bool isLocked() const;
2049#ifdef CBC_THREAD
2050    /**
2051       Locks a thread if parallel so that stuff like cut pool
2052       can be updated and/or used.
2053    */
2054    void lockThread();
2055    /**
2056       Unlocks a thread if parallel to say cut pool stuff not needed
2057    */
2058    void unlockThread();
2059#else
2060    inline void lockThread() {}
2061    inline void unlockThread() {}
2062#endif
2063    /** Set information in a child
2064        -3 pass pointer to child thread info
2065        -2 just stop
2066        -1 delete simple child stuff
2067        0 delete opportunistic child stuff
2068        1 delete deterministic child stuff
2069    */
2070    void setInfoInChild(int type, CbcThread * info);
2071    /** Move/copy information from one model to another
2072        -1 - initialization
2073        0 - from base model
2074        1 - to base model (and reset)
2075        2 - add in final statistics etc (and reset so can do clean destruction)
2076    */
2077    void moveToModel(CbcModel * baseModel, int mode);
2078    /// Split up nodes
2079    int splitModel(int numberModels, CbcModel ** model,
2080                   int numberNodes);
2081    /// Start threads
2082    void startSplitModel(int numberIterations);
2083    /// Merge models
2084    void mergeModels(int numberModel, CbcModel ** model,
2085                     int numberNodes);
2086    //@}
2087
2088    ///@name semi-private i.e. users should not use
2089    //@{
2090    /// Get how many Nodes it took to solve the problem.
2091    int getNodeCount2() const {
2092        return numberNodes2_;
2093    }
2094    /// Set pointers for speed
2095    void setPointers(const OsiSolverInterface * solver);
2096    /** Perform reduced cost fixing
2097
2098      Fixes integer variables at their current value based on reduced cost
2099      penalties.  Returns number fixed
2100    */
2101    int reducedCostFix() ;
2102    /** Makes all handlers same.  If makeDefault 1 then makes top level
2103        default and rest point to that.  If 2 then each is copy
2104    */
2105    void synchronizeHandlers(int makeDefault);
2106    /// Save a solution to saved list
2107    void saveExtraSolution(const double * solution, double objectiveValue);
2108    /// Save a solution to best and move current to saved
2109    void saveBestSolution(const double * solution, double objectiveValue);
2110    /// Delete best and saved solutions
2111    void deleteSolutions();
2112    /// Encapsulates solver resolve
2113    int resolve(OsiSolverInterface * solver);
2114#ifdef CLP_RESOLVE
2115    /// Special purpose resolve
2116    int resolveClp(OsiClpSolverInterface * solver, int type);
2117#endif
2118
2119    /** Encapsulates choosing a variable -
2120        anyAction -2, infeasible (-1 round again), 0 done
2121    */
2122    int chooseBranch(CbcNode * & newNode, int numberPassesLeft,
2123                     CbcNode * oldNode, OsiCuts & cuts,
2124                     bool & resolved, CoinWarmStartBasis *lastws,
2125                     const double * lowerBefore, const double * upperBefore,
2126                     OsiSolverBranch * & branches);
2127    int chooseBranch(CbcNode * newNode, int numberPassesLeft, bool & resolved);
2128
2129    /** Return an empty basis object of the specified size
2130
2131      A useful utility when constructing a basis for a subproblem from scratch.
2132      The object returned will be of the requested capacity and appropriate for
2133      the solver attached to the model.
2134    */
2135    CoinWarmStartBasis *getEmptyBasis(int ns = 0, int na = 0) const ;
2136
2137    /** Remove inactive cuts from the model
2138
2139      An OsiSolverInterface is expected to maintain a valid basis, but not a
2140      valid solution, when loose cuts are deleted. Restoring a valid solution
2141      requires calling the solver to reoptimise. If it's certain the solution
2142      will not be required, set allowResolve to false to suppress
2143      reoptimisation.
2144      If saveCuts then slack cuts will be saved
2145      On input current cuts are cuts and newCuts
2146      on exit current cuts will be correct.  Returns number dropped
2147    */
2148    int takeOffCuts(OsiCuts &cuts,
2149                    bool allowResolve, OsiCuts * saveCuts,
2150                    int numberNewCuts = 0, const OsiRowCut ** newCuts = NULL) ;
2151
2152    /** Determine and install the active cuts that need to be added for
2153      the current subproblem
2154
2155      The whole truth is a bit more complicated. The first action is a call to
2156      addCuts1(). addCuts() then sorts through the list, installs the tight
2157      cuts in the model, and does bookkeeping (adjusts reference counts).
2158      The basis returned from addCuts1() is adjusted accordingly.
2159
2160      If it turns out that the node should really be fathomed by bound,
2161      addCuts() simply treats all the cuts as loose as it does the bookkeeping.
2162
2163      canFix true if extra information being passed
2164    */
2165    int addCuts(CbcNode * node, CoinWarmStartBasis *&lastws, bool canFix);
2166
2167    /** Traverse the tree from node to root and prep the model
2168
2169      addCuts1() begins the job of prepping the model to match the current
2170      subproblem. The model is stripped of all cuts, and the search tree is
2171      traversed from node to root to determine the changes required. Appropriate
2172      bounds changes are installed, a list of cuts is collected but not
2173      installed, and an appropriate basis (minus the cuts, but big enough to
2174      accommodate them) is constructed.
2175
2176      Returns true if new problem similar to old
2177
2178      \todo addCuts1() is called in contexts where it's known in advance that
2179        all that's desired is to determine a list of cuts and do the
2180        bookkeeping (adjust the reference counts). The work of installing
2181        bounds and building a basis goes to waste.
2182    */
2183    bool addCuts1(CbcNode * node, CoinWarmStartBasis *&lastws);
2184    /** Returns bounds just before where - initially original bounds.
2185        Also sets downstream nodes (lower if force 1, upper if 2)
2186    */
2187    void previousBounds (CbcNode * node, CbcNodeInfo * where, int iColumn,
2188                         double & lower, double & upper, int force);
2189    /** Set objective value in a node.  This is separated out so that
2190       odd solvers can use.  It may look at extra information in
2191       solverCharacteriscs_ and will also use bound from parent node
2192    */
2193    void setObjectiveValue(CbcNode * thisNode, const CbcNode * parentNode) const;
2194
2195    /** If numberBeforeTrust >0 then we are going to use CbcBranchDynamic.
2196        Scan and convert CbcSimpleInteger objects
2197    */
2198    void convertToDynamic();
2199    /// Set numberBeforeTrust in all objects
2200    void synchronizeNumberBeforeTrust(int type = 0);
2201    /// Zap integer information in problem (may leave object info)
2202    void zapIntegerInformation(bool leaveObjects = true);
2203    /// Use cliques for pseudocost information - return nonzero if infeasible
2204    int cliquePseudoCosts(int doStatistics);
2205    /// Fill in useful estimates
2206    void pseudoShadow(int type);
2207    /** Return pseudo costs
2208        If not all integers or not pseudo costs - returns all zero
2209        Length of arrays are numberIntegers() and entries
2210        correspond to integerVariable()[i]
2211        User must allocate arrays before call
2212    */
2213    void fillPseudoCosts(double * downCosts, double * upCosts,
2214                         int * priority = NULL,
2215                         int * numberDown = NULL, int * numberUp = NULL,
2216                         int * numberDownInfeasible = NULL,
2217                         int * numberUpInfeasible = NULL) const;
2218    /** Do heuristics at root.
2219        0 - don't delete
2220        1 - delete
2221        2 - just delete - don't even use
2222    */
2223    void doHeuristicsAtRoot(int deleteHeuristicsAfterwards = 0);
2224    /// Adjust heuristics based on model
2225    void adjustHeuristics();
2226    /// Get the hotstart solution
2227    inline const double * hotstartSolution() const {
2228        return hotstartSolution_;
2229    }
2230    /// Get the hotstart priorities
2231    inline const int * hotstartPriorities() const {
2232        return hotstartPriorities_;
2233    }
2234
2235    /// Return the list of cuts initially collected for this subproblem
2236    inline CbcCountRowCut ** addedCuts() const {
2237        return addedCuts_;
2238    }
2239    /// Number of entries in the list returned by #addedCuts()
2240    inline int currentNumberCuts() const {
2241        return currentNumberCuts_;
2242    }
2243    /// Global cuts
2244    inline CbcRowCuts * globalCuts() {
2245        return &globalCuts_;
2246    }
2247    /// Copy and set a pointer to a row cut which will be added instead of normal branching.
2248    void setNextRowCut(const OsiRowCut & cut);
2249    /// Get a pointer to current node (be careful)
2250    inline CbcNode * currentNode() const {
2251        return currentNode_;
2252    }
2253    /// Get a pointer to probing info
2254    inline CglTreeProbingInfo * probingInfo() const {
2255        return probingInfo_;
2256    }
2257    /// Thread specific random number generator
2258    inline CoinThreadRandom * randomNumberGenerator() {
2259        return &randomNumberGenerator_;
2260    }
2261    /// Set the number of iterations done in strong branching.
2262    inline void setNumberStrongIterations(int number) {
2263        numberStrongIterations_ = number;
2264    }
2265    /// Get the number of iterations done in strong branching.
2266    inline int numberStrongIterations() const {
2267        return numberStrongIterations_;
2268    }
2269    /// Get maximum number of iterations (designed to be used in heuristics)
2270    inline int maximumNumberIterations() const {
2271        return maximumNumberIterations_;
2272    }
2273    /// Set maximum number of iterations (designed to be used in heuristics)
2274    inline void setMaximumNumberIterations(int value) {
2275        maximumNumberIterations_ = value;
2276    }
2277    /// Set depth for fast nodes
2278    inline void setFastNodeDepth(int value) {
2279        fastNodeDepth_ = value;
2280    }
2281    /// Get depth for fast nodes
2282    inline int fastNodeDepth() const {
2283        return fastNodeDepth_;
2284    }
2285    /// Get anything with priority >= this can be treated as continuous
2286    inline int continuousPriority() const {
2287        return continuousPriority_;
2288    }
2289    /// Set anything with priority >= this can be treated as continuous
2290    inline void setContinuousPriority(int value) {
2291        continuousPriority_ = value;
2292    }
2293    inline void incrementExtra(int nodes, int iterations) {
2294        numberExtraNodes_ += nodes;
2295        numberExtraIterations_ += iterations;
2296    }
2297    /// Number of extra iterations
2298    inline int numberExtraIterations() const {
2299        return numberExtraIterations_;
2300    }
2301    /// Increment strong info
2302    void incrementStrongInfo(int numberTimes, int numberIterations,
2303                             int numberFixed, bool ifInfeasible);
2304    /// Return strong info
2305    inline const int * strongInfo() const {
2306        return strongInfo_;
2307    }
2308
2309    /// Return mutable strong info
2310    inline int * mutableStrongInfo() {
2311        return strongInfo_;
2312    }
2313    /// Get stored row cuts for donor/recipient CbcModel
2314    CglStored * storedRowCuts() const {
2315        return storedRowCuts_;
2316    }
2317    /// Set stored row cuts for donor/recipient CbcModel
2318    void setStoredRowCuts(CglStored * cuts) {
2319        storedRowCuts_ = cuts;
2320    }
2321    /// Says whether all dynamic integers
2322    inline bool allDynamic () const {
2323        return ((ownership_&0x40000000) != 0) ;
2324    }
2325    /// Create C++ lines to get to current state
2326    void generateCpp( FILE * fp, int options);
2327    /// Generate an OsiBranchingInformation object
2328    OsiBranchingInformation usefulInformation() const;
2329    /** Warm start object produced by heuristic or strong branching
2330
2331        If get a valid integer solution outside branch and bound then it can take
2332        a reasonable time to solve LP which produces clean solution.  If this object has
2333        any size then it will be used in solve.
2334    */
2335    inline void setBestSolutionBasis(const CoinWarmStartBasis & bestSolutionBasis) {
2336        bestSolutionBasis_ = bestSolutionBasis;
2337    }
2338    /// Redo walkback arrays
2339    void redoWalkBack();
2340    //@}
2341
2342//---------------------------------------------------------------------------
2343
2344private:
2345    ///@name Private member data
2346    //@{
2347
2348    /// The solver associated with this model.
2349    OsiSolverInterface * solver_;
2350
2351    /** Ownership of objects and other stuff
2352
2353        0x80000000 model owns solver
2354        0x40000000 all variables CbcDynamicPseudoCost
2355    */
2356    unsigned int ownership_ ;
2357
2358    /// A copy of the solver, taken at the continuous (root) node.
2359    OsiSolverInterface * continuousSolver_;
2360
2361    /// A copy of the solver, taken at constructor or by saveReferenceSolver
2362    OsiSolverInterface * referenceSolver_;
2363
2364    /// Message handler
2365    CoinMessageHandler * handler_;
2366
2367    /** Flag to say if handler_ is the default handler.
2368
2369      The default handler is deleted when the model is deleted. Other
2370      handlers (supplied by the client) will not be deleted.
2371    */
2372    bool defaultHandler_;
2373
2374    /// Cbc messages
2375    CoinMessages messages_;
2376
2377    /// Array for integer parameters
2378    int intParam_[CbcLastIntParam];
2379
2380    /// Array for double parameters
2381    double dblParam_[CbcLastDblParam];
2382
2383    /** Pointer to an empty warm start object
2384
2385      It turns out to be useful to have this available as a base from
2386      which to build custom warm start objects. This is typed as CoinWarmStart
2387      rather than CoinWarmStartBasis to allow for the possibility that a
2388      client might want to apply a solver that doesn't use a basis-based warm
2389      start. See getEmptyBasis for an example of how this field can be used.
2390    */
2391    mutable CoinWarmStart *emptyWarmStart_ ;
2392
2393    /// Best objective
2394    double bestObjective_;
2395    /// Best possible objective
2396    double bestPossibleObjective_;
2397    /// Sum of Changes to objective by first solve
2398    double sumChangeObjective1_;
2399    /// Sum of Changes to objective by subsequent solves
2400    double sumChangeObjective2_;
2401
2402    /// Array holding the incumbent (best) solution.
2403    double * bestSolution_;
2404    /// Arrays holding other solutions.
2405    double ** savedSolutions_;
2406
2407    /** Array holding the current solution.
2408
2409      This array is used more as a temporary.
2410    */
2411    double * currentSolution_;
2412    /** For testing infeasibilities - will point to
2413        currentSolution_ or solver-->getColSolution()
2414    */
2415    mutable const double * testSolution_;
2416    /** Warm start object produced by heuristic or strong branching
2417
2418        If get a valid integer solution outside branch and bound then it can take
2419        a reasonable time to solve LP which produces clean solution.  If this object has
2420        any size then it will be used in solve.
2421    */
2422    CoinWarmStartBasis bestSolutionBasis_ ;
2423    /// Global cuts
2424    CbcRowCuts globalCuts_;
2425    /// Global conflict cuts
2426    CbcRowCuts * globalConflictCuts_;
2427
2428    /// Minimum degradation in objective value to continue cut generation
2429    double minimumDrop_;
2430    /// Number of solutions
2431    int numberSolutions_;
2432    /// Number of saved solutions
2433    int numberSavedSolutions_;
2434    /// Maximum number of saved solutions
2435    int maximumSavedSolutions_;
2436    /** State of search
2437        0 - no solution
2438        1 - only heuristic solutions
2439        2 - branched to a solution
2440        3 - no solution but many nodes
2441    */
2442    int stateOfSearch_;
2443    /// At which depths to do cuts
2444    int whenCuts_;
2445    /// Hotstart solution
2446    double * hotstartSolution_;
2447    /// Hotstart priorities
2448    int * hotstartPriorities_;
2449    /// Number of heuristic solutions
2450    int numberHeuristicSolutions_;
2451    /// Cumulative number of nodes
2452    int numberNodes_;
2453    /** Cumulative number of nodes for statistics.
2454        Must fix to match up
2455    */
2456    int numberNodes2_;
2457    /// Cumulative number of iterations
2458    int numberIterations_;
2459    /// Cumulative number of solves
2460    int numberSolves_;
2461    /// Status of problem - 0 finished, 1 stopped, 2 difficulties
2462    int status_;
2463    /** Secondary status of problem
2464        -1 unset (status_ will also be -1)
2465        0 search completed with solution
2466        1 linear relaxation not feasible (or worse than cutoff)
2467        2 stopped on gap
2468        3 stopped on nodes
2469        4 stopped on time
2470        5 stopped on user event
2471        6 stopped on solutions
2472     */
2473    int secondaryStatus_;
2474    /// Number of integers in problem
2475    int numberIntegers_;
2476    /// Number of rows at continuous
2477    int numberRowsAtContinuous_;
2478    /**
2479       -1 - cutoff as constraint not activated
2480       -2 - waiting to activate
2481       >=0 - activated
2482     */
2483    int cutoffRowNumber_;
2484    /// Maximum number of cuts
2485    int maximumNumberCuts_;
2486    /** Current phase (so heuristics etc etc can find out).
2487        0 - initial solve
2488        1 - solve with cuts at root
2489        2 - solve with cuts
2490        3 - other e.g. strong branching
2491        4 - trying to validate a solution
2492        5 - at end of search
2493    */
2494    int phase_;
2495
2496    /// Number of entries in #addedCuts_
2497    int currentNumberCuts_;
2498
2499    /** Current limit on search tree depth
2500
2501      The allocated size of #walkback_. Increased as needed.
2502    */
2503    int maximumDepth_;
2504    /** Array used to assemble the path between a node and the search tree root
2505
2506      The array is resized when necessary. #maximumDepth_  is the current
2507      allocated size.
2508    */
2509    CbcNodeInfo ** walkback_;
2510    CbcNodeInfo ** lastNodeInfo_;
2511    const OsiRowCut ** lastCut_;
2512    int lastDepth_;
2513    int lastNumberCuts2_;
2514    int maximumCuts_;
2515    int * lastNumberCuts_;
2516
2517    /** The list of cuts initially collected for this subproblem
2518
2519      When the subproblem at this node is rebuilt, a set of cuts is collected
2520      for inclusion in the constraint system. If any of these cuts are
2521      subsequently removed because they have become loose, the corresponding
2522      entry is set to NULL.
2523    */
2524    CbcCountRowCut ** addedCuts_;
2525
2526    /** A pointer to a row cut which will be added instead of normal branching.
2527        After use it should be set to NULL.
2528    */
2529    OsiRowCut * nextRowCut_;
2530
2531    /// Current node so can be used elsewhere
2532    CbcNode * currentNode_;
2533
2534    /// Indices of integer variables
2535    int * integerVariable_;
2536    /// Whether of not integer
2537    char * integerInfo_;
2538    /// Holds solution at continuous (after cuts)
2539    double * continuousSolution_;
2540    /// Array marked whenever a solution is found if non-zero
2541    int * usedInSolution_;
2542    /**
2543        Special options
2544        0 bit (1) - check if cuts valid (if on debugger list)
2545        1 bit (2) - use current basis to check integer solution (rather than all slack)
2546        2 bit (4) - don't check integer solution (by solving LP)
2547        3 bit (8) - fast analyze
2548        4 bit (16) - non-linear model - so no well defined CoinPackedMatrix
2549        5 bit (32) - keep names
2550        6 bit (64) - try for dominated columns
2551        7 bit (128) - SOS type 1 but all declared integer
2552        8 bit (256) - Set to say solution just found, unset by doing cuts
2553        9 bit (512) - Try reduced model after 100 nodes
2554        10 bit (1024) - Switch on some heuristics even if seems unlikely
2555        11 bit (2048) - Mark as in small branch and bound
2556        12 bit (4096) - Funny cuts so do slow way (in some places)
2557        13 bit (8192) - Funny cuts so do slow way (in other places)
2558        14 bit (16384) - Use Cplex! for fathoming
2559        15 bit (32768) - Try reduced model after 0 nodes
2560        16 bit (65536) - Original model had integer bounds
2561        17 bit (131072) - Perturbation switched off
2562        18 bit (262144) - donor CbcModel
2563        19 bit (524288) - recipient CbcModel
2564    */
2565    int specialOptions_;
2566    /** More special options
2567        at present bottom 6 bits used for shadow price mode
2568        1024 for experimental hotstart
2569        2048,4096 breaking out of cuts
2570        8192 slowly increase minimum drop
2571        16384 gomory
2572        32768 more heuristics in sub trees
2573        65536 no cuts in preprocessing
2574        131072 Time limits elapsed
2575        18 bit (262144) - Perturb fathom nodes
2576        19 bit (524288) - No limit on fathom nodes
2577        20 bit (1048576) - Reduce sum of infeasibilities before cuts
2578        21 bit (2097152) - Reduce sum of infeasibilities after cuts
2579    */
2580    int moreSpecialOptions_;
2581    /// User node comparison function
2582    CbcCompareBase * nodeCompare_;
2583    /// User feasibility function (see CbcFeasibleBase.hpp)
2584    CbcFeasibilityBase * problemFeasibility_;
2585    /// Tree
2586    CbcTree * tree_;
2587    /// Pointer to top of tree
2588    CbcFullNodeInfo * topOfTree_;
2589    /// A pointer to model to be used for subtrees
2590    CbcModel * subTreeModel_;
2591    /// A pointer to model from CbcHeuristic
2592    CbcModel * heuristicModel_;
2593    /// Number of times any subtree stopped on nodes, time etc
2594    int numberStoppedSubTrees_;
2595    /// Variable selection function
2596    CbcBranchDecision * branchingMethod_;
2597    /// Cut modifier function
2598    CbcCutModifier * cutModifier_;
2599    /// Strategy
2600    CbcStrategy * strategy_;
2601    /// Parent model
2602    CbcModel * parentModel_;
2603    /** Whether to automatically do presolve before branch and bound.
2604        0 - no
2605        1 - ordinary presolve
2606        2 - integer presolve (dodgy)
2607    */
2608    /// Pointer to array[getNumCols()] (for speed) of column lower bounds
2609    const double * cbcColLower_;
2610    /// Pointer to array[getNumCols()] (for speed) of column upper bounds
2611    const double * cbcColUpper_;
2612    /// Pointer to array[getNumRows()] (for speed) of row lower bounds
2613    const double * cbcRowLower_;
2614    /// Pointer to array[getNumRows()] (for speed) of row upper bounds
2615    const double * cbcRowUpper_;
2616    /// Pointer to array[getNumCols()] (for speed) of primal solution vector
2617    const double * cbcColSolution_;
2618    /// Pointer to array[getNumRows()] (for speed) of dual prices
2619    const double * cbcRowPrice_;
2620    /// Get a pointer to array[getNumCols()] (for speed) of reduced costs
2621    const double * cbcReducedCost_;
2622    /// Pointer to array[getNumRows()] (for speed) of row activity levels.
2623    const double * cbcRowActivity_;
2624    /// Pointer to user-defined data structure
2625    void * appData_;
2626    /// Presolve for CbcTreeLocal
2627    int presolve_;
2628    /** Maximum number of candidates to consider for strong branching.
2629      To disable strong branching, set this to 0.
2630    */
2631    int numberStrong_;
2632    /** \brief The number of branches before pseudo costs believed
2633           in dynamic strong branching.
2634
2635      A value of 0 is  off.
2636    */
2637    int numberBeforeTrust_;
2638    /** \brief The number of variables for which to compute penalties
2639           in dynamic strong branching.
2640    */
2641    int numberPenalties_;
2642    /// For threads - stop after this many "iterations"
2643    int stopNumberIterations_;
2644    /** Scale factor to make penalties match strong.
2645        Should/will be computed */
2646    double penaltyScaleFactor_;
2647    /// Number of analyze iterations to do
2648    int numberAnalyzeIterations_;
2649    /// Arrays with analysis results
2650    double * analyzeResults_;
2651    /// Useful temporary pointer
2652    void * temporaryPointer_;
2653    /// Number of nodes infeasible by normal branching (before cuts)
2654    int numberInfeasibleNodes_;
2655    /** Problem type as set by user or found by analysis.  This will be extended
2656        0 - not known
2657        1 - Set partitioning <=
2658        2 - Set partitioning ==
2659        3 - Set covering
2660    */
2661    int problemType_;
2662    /// Print frequency
2663    int printFrequency_;
2664    /// Number of cut generators
2665    int numberCutGenerators_;
2666    // Cut generators
2667    CbcCutGenerator ** generator_;
2668    // Cut generators before any changes
2669    CbcCutGenerator ** virginGenerator_;
2670    /// Number of heuristics
2671    int numberHeuristics_;
2672    /// Heuristic solvers
2673    CbcHeuristic ** heuristic_;
2674    /// Pointer to heuristic solver which found last solution (or NULL)
2675    CbcHeuristic * lastHeuristic_;
2676    /// Depth for fast nodes
2677    int fastNodeDepth_;
2678    /*! Pointer to the event handler */
2679# ifdef CBC_ONLY_CLP
2680    ClpEventHandler *eventHandler_ ;
2681# else
2682    CbcEventHandler *eventHandler_ ;
2683# endif
2684
2685    /// Total number of objects
2686    int numberObjects_;
2687
2688    /** \brief Integer and Clique and ... information
2689
2690      \note The code assumes that the first objects on the list will be
2691        SimpleInteger objects for each integer variable, followed by
2692        Clique objects. Portions of the code that understand Clique objects
2693        will fail if they do not immediately follow the SimpleIntegers.
2694        Large chunks of the code will fail if the first objects are not
2695        SimpleInteger. As of 2003.08, SimpleIntegers and Cliques are the only
2696        objects.
2697    */
2698    OsiObject ** object_;
2699    /// Now we may not own objects - just point to solver's objects
2700    bool ownObjects_;
2701
2702    /// Original columns as created by integerPresolve or preprocessing
2703    int * originalColumns_;
2704    /// How often to scan global cuts
2705    int howOftenGlobalScan_;
2706    /** Number of times global cuts violated.  When global cut pool then this
2707        should be kept for each cut and type of cut */
2708    int numberGlobalViolations_;
2709    /// Number of extra iterations in fast lp
2710    int numberExtraIterations_;
2711    /// Number of extra nodes in fast lp
2712    int numberExtraNodes_;
2713    /** Value of objective at continuous
2714        (Well actually after initial round of cuts)
2715    */
2716    double continuousObjective_;
2717    /** Value of objective before root node cuts added
2718    */
2719    double originalContinuousObjective_;
2720    /// Number of infeasibilities at continuous
2721    int continuousInfeasibilities_;
2722    /// Maximum number of cut passes at root
2723    int maximumCutPassesAtRoot_;
2724    /// Maximum number of cut passes
2725    int maximumCutPasses_;
2726    /// Preferred way of branching
2727    int preferredWay_;
2728    /// Current cut pass number
2729    int currentPassNumber_;
2730    /// Maximum number of cuts (for whichGenerator_)
2731    int maximumWhich_;
2732    /// Maximum number of rows
2733    int maximumRows_;
2734    /// Random seed
2735    int randomSeed_;
2736    /// Multiple root tries
2737    int multipleRootTries_;
2738    /// Current depth
2739    int currentDepth_;
2740    /// Thread specific random number generator
2741    mutable CoinThreadRandom randomNumberGenerator_;
2742    /// Work basis for temporary use
2743    CoinWarmStartBasis workingBasis_;
2744    /// Which cut generator generated this cut
2745    int * whichGenerator_;
2746    /// Maximum number of statistics
2747    int maximumStatistics_;
2748    /// statistics
2749    CbcStatistics ** statistics_;
2750    /// Maximum depth reached
2751    int maximumDepthActual_;
2752    /// Number of reduced cost fixings
2753    double numberDJFixed_;
2754    /// Probing info
2755    CglTreeProbingInfo * probingInfo_;
2756    /// Number of fixed by analyze at root
2757    int numberFixedAtRoot_;
2758    /// Number fixed by analyze so far
2759    int numberFixedNow_;
2760    /// Whether stopping on gap
2761    bool stoppedOnGap_;
2762    /// Whether event happened
2763    mutable bool eventHappened_;
2764    /// Number of long strong goes
2765    int numberLongStrong_;
2766    /// Number of old active cuts
2767    int numberOldActiveCuts_;
2768    /// Number of new cuts
2769    int numberNewCuts_;
2770    /// Strategy worked out - mainly at root node
2771    int searchStrategy_;
2772    /** Strategy for strong branching
2773        0 - normal
2774        when to do all fractional
2775        1 - root node
2776        2 - depth less than modifier
2777        4 - if objective == best possible
2778        6 - as 2+4
2779        when to do all including satisfied
2780        10 - root node etc.
2781        If >=100 then do when depth <= strategy/100 (otherwise 5)
2782     */
2783    int strongStrategy_;
2784    /// Number of iterations in strong branching
2785    int numberStrongIterations_;
2786    /** 0 - number times strong branching done, 1 - number fixed, 2 - number infeasible
2787        Second group of three is a snapshot at node [6] */
2788    int strongInfo_[7];
2789    /**
2790        For advanced applications you may wish to modify the behavior of Cbc
2791        e.g. if the solver is a NLP solver then you may not have an exact
2792        optimum solution at each step.  This gives characteristics - just for one BAB.
2793        For actually saving/restoring a solution you need the actual solver one.
2794    */
2795    OsiBabSolver * solverCharacteristics_;
2796    /// Whether to force a resolve after takeOffCuts
2797    bool resolveAfterTakeOffCuts_;
2798    /// Maximum number of iterations (designed to be used in heuristics)
2799    int maximumNumberIterations_;
2800    /// Anything with priority >= this can be treated as continuous
2801    int continuousPriority_;
2802    /// Number of outstanding update information items
2803    int numberUpdateItems_;
2804    /// Maximum number of outstanding update information items
2805    int maximumNumberUpdateItems_;
2806    /// Update items
2807    CbcObjectUpdateData * updateItems_;
2808    /// Stored row cuts for donor/recipient CbcModel
2809    CglStored * storedRowCuts_;
2810    /**
2811       Parallel
2812       0 - off
2813       1 - testing
2814       2-99 threads
2815       other special meanings
2816    */
2817    int numberThreads_;
2818    /** thread mode
2819        always use numberThreads for branching
2820        1 set then deterministic
2821        2 set then use numberThreads for root cuts
2822        4 set then use numberThreads in root mini branch and bound
2823        default is 0
2824    */
2825    int threadMode_;
2826    /// Thread stuff for master
2827    CbcBaseModel * master_;
2828    /// Pointer to masterthread
2829    CbcThread * masterThread_;
2830//@}
2831};
2832/// So we can use osiObject or CbcObject during transition
2833void getIntegerInformation(const OsiObject * object, double & originalLower,
2834                           double & originalUpper) ;
2835// So we can call from other programs
2836// Real main program
2837class OsiClpSolverInterface;
2838int CbcMain (int argc, const char *argv[], OsiClpSolverInterface & solver, CbcModel ** babSolver);
2839int CbcMain (int argc, const char *argv[], CbcModel & babSolver);
2840// four ways of calling
2841int callCbc(const char * input2, OsiClpSolverInterface& solver1);
2842int callCbc(const char * input2);
2843int callCbc(const std::string input2, OsiClpSolverInterface& solver1);
2844int callCbc(const std::string input2) ;
2845// When we want to load up CbcModel with options first
2846void CbcMain0 (CbcModel & babSolver);
2847int CbcMain1 (int argc, const char *argv[], CbcModel & babSolver);
2848// two ways of calling
2849int callCbc(const char * input2, CbcModel & babSolver);
2850int callCbc(const std::string input2, CbcModel & babSolver);
2851// And when CbcMain0 already called to initialize
2852int callCbc1(const char * input2, CbcModel & babSolver);
2853int callCbc1(const std::string input2, CbcModel & babSolver);
2854// And when CbcMain0 already called to initialize (with call back) (see CbcMain1 for whereFrom)
2855int callCbc1(const char * input2, CbcModel & babSolver, int (CbcModel * currentSolver, int whereFrom));
2856int callCbc1(const std::string input2, CbcModel & babSolver, int (CbcModel * currentSolver, int whereFrom));
2857int CbcMain1 (int argc, const char *argv[], CbcModel & babSolver, int (CbcModel * currentSolver, int whereFrom));
2858// For uniform setting of cut and heuristic options
2859void setCutAndHeuristicOptions(CbcModel & model);
2860#endif
2861
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