source: trunk/CbcBranchLotsize.cpp @ 238

Last change on this file since 238 was 238, checked in by forrest, 13 years ago

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1// Copyright (C) 2002, International Business Machines
2// Corporation and others.  All Rights Reserved.
3#if defined(_MSC_VER)
4// Turn off compiler warning about long names
5#  pragma warning(disable:4786)
6#endif
7#include <cassert>
8#include <cmath>
9#include <cfloat>
10
11#include "OsiSolverInterface.hpp"
12#include "CbcModel.hpp"
13#include "CbcMessage.hpp"
14#include "CbcBranchLotsize.hpp"
15#include "CoinSort.hpp"
16#include "CoinError.hpp"
17/*
18  CBC_PRINT 1 just does sanity checks - no printing
19            2
20*/
21//#define CBC_PRINT 1
22// First/last variable to print info on
23#if CBC_PRINT
24// preset does all - change to x,x to just do x
25static int firstPrint=0;
26static int lastPrint=1000000;
27static CbcModel * saveModel=NULL;
28#endif
29// Just for debug (CBC_PRINT defined in CbcBranchLotsize.cpp)
30void 
31CbcLotsize::printLotsize(double value,bool condition,int type) const
32{
33#if CBC_PRINT
34  if (columnNumber_>=firstPrint&&columnNumber_<=lastPrint) {
35    int printIt = CBC_PRINT-1;
36    // Get details
37    OsiSolverInterface * solver = saveModel->solver();
38    double currentLower = solver->getColLower()[columnNumber_];
39    double currentUpper = solver->getColUpper()[columnNumber_];
40    int i;
41    // See if in a valid range (with two tolerances)
42    bool inRange=false;
43    bool inRange2=false;
44    double integerTolerance = 
45      model_->getDblParam(CbcModel::CbcIntegerTolerance);
46    // increase if type 2
47    if (type==2) {
48      integerTolerance *= 100.0;
49      type=0;
50      printIt=2; // always print
51    }
52    // bounds should match some bound
53    int rangeL=-1;
54    int rangeU=-1;
55    if (rangeType_==1) {
56      for (i=0;i<numberRanges_;i++) {
57        if (fabs(currentLower-bound_[i])<1.0e-12)
58          rangeL=i;
59        if (fabs(currentUpper-bound_[i])<1.0e-12)
60          rangeU=i;
61        if (fabs(value-bound_[i])<integerTolerance)
62          inRange=true;
63        if (fabs(value-bound_[i])<1.0e8)
64          inRange2=true;
65      }
66    } else {
67      for (i=0;i<numberRanges_;i++) {
68        if (fabs(currentLower-bound_[2*i])<1.0e-12)
69          rangeL=i;
70        if (fabs(currentUpper-bound_[2*i+1])<1.0e-12)
71          rangeU=i;
72        if (value>bound_[2*i]-integerTolerance&&
73            value<bound_[2*i+1]+integerTolerance)
74          inRange=true;
75        if (value>bound_[2*i]-integerTolerance&&
76            value<bound_[2*i+1]+integerTolerance)
77          inRange=true;
78      }
79    }
80    assert (rangeL>=0&&rangeU>=0);
81    bool abortIt=false;
82    switch (type) {
83      // returning from findRange (fall through to just check)
84    case 0:
85      if (printIt) {
86        printf("findRange returns %s for column %d and value %g",
87               condition ? "true" : "false",columnNumber_,value);
88        if (printIt>1)
89          printf(" LP bounds %g, %g",currentLower,currentUpper);
90        printf("\n");
91      }
92      // Should match
93    case 1:
94      if (inRange!=condition) {
95        printIt=2;
96        abortIt=true;
97      }
98      break;
99      //
100    case 2:
101      break;
102      //
103    case 3:
104      break;
105      //
106    case 4:
107      break;
108    }
109  }
110#endif
111}
112/** Default Constructor
113
114*/
115CbcLotsize::CbcLotsize ()
116  : CbcObject(),
117    columnNumber_(-1),
118    rangeType_(0),
119    numberRanges_(0),
120    largestGap_(0),
121    bound_(NULL),
122    range_(0)
123{
124}
125
126/** Useful constructor
127
128  Loads actual upper & lower bounds for the specified variable.
129*/
130CbcLotsize::CbcLotsize (CbcModel * model, 
131                                    int iColumn, int numberPoints,
132                        const double * points, bool range)
133  : CbcObject(model)
134{
135#if CBC_PRINT
136  if (!saveModel)
137    saveModel=model;
138#endif
139  assert (numberPoints>0);
140  columnNumber_ = iColumn ;
141  // and set id so can be used for branching
142  id_=iColumn;
143  // sort ranges
144  int * sort = new int[numberPoints];
145  double * weight = new double [numberPoints];
146  int i;
147  if (range) {
148    rangeType_=2;
149  } else {
150    rangeType_=1;
151  }
152  for (i=0;i<numberPoints;i++) {
153    sort[i]=i;
154    weight[i]=points[i*rangeType_];
155  }
156  CoinSort_2(weight,weight+numberPoints,sort);
157  numberRanges_=1;
158  largestGap_=0;
159  if (rangeType_==1) {
160    bound_ = new double[numberPoints+1];
161    bound_[0]=weight[0];
162    for (i=1;i<numberPoints;i++) {
163      if (weight[i]!=weight[i-1]) 
164        bound_[numberRanges_++]=weight[i];
165    }
166    // and for safety
167    bound_[numberRanges_]=bound_[numberRanges_-1];
168    for (i=1;i<numberRanges_;i++) {
169      largestGap_ = CoinMax(largestGap_,bound_[i]-bound_[i-1]);
170    }
171  } else {
172    bound_ = new double[2*numberPoints+2];
173    bound_[0]=points[sort[0]*2];
174    bound_[1]=points[sort[0]*2+1];
175    double lo=bound_[0];
176    double hi=bound_[1];
177    assert (hi>=lo);
178    for (i=1;i<numberPoints;i++) {
179      double thisLo =points[sort[i]*2];
180      double thisHi =points[sort[i]*2+1];
181      assert (thisHi>=thisLo);
182      if (thisLo>hi) {
183        bound_[2*numberRanges_]=thisLo;
184        bound_[2*numberRanges_+1]=thisHi;
185        numberRanges_++;
186        lo=thisLo;
187        hi=thisHi;
188      } else {
189        //overlap
190        hi=CoinMax(hi,thisHi);
191        bound_[2*numberRanges_-1]=hi;
192      }
193    }
194    // and for safety
195    bound_[2*numberRanges_]=bound_[2*numberRanges_-2];
196    bound_[2*numberRanges_+1]=bound_[2*numberRanges_-1];
197    for (i=1;i<numberRanges_;i++) {
198      largestGap_ = CoinMax(largestGap_,bound_[2*i]-bound_[2*i-1]);
199    }
200  }
201  delete [] sort;
202  delete [] weight;
203  range_=0;
204}
205
206// Copy constructor
207CbcLotsize::CbcLotsize ( const CbcLotsize & rhs)
208  :CbcObject(rhs)
209
210{
211  columnNumber_ = rhs.columnNumber_;
212  rangeType_ = rhs.rangeType_;
213  numberRanges_ = rhs.numberRanges_;
214  range_ = rhs.range_;
215  largestGap_ = rhs.largestGap_;
216  if (numberRanges_) {
217    assert (rangeType_>0&&rangeType_<3);
218    bound_= new double [(numberRanges_+1)*rangeType_];
219    memcpy(bound_,rhs.bound_,(numberRanges_+1)*rangeType_*sizeof(double));
220  } else {
221    bound_=NULL;
222  }
223}
224
225// Clone
226CbcObject *
227CbcLotsize::clone() const
228{
229  return new CbcLotsize(*this);
230}
231
232// Assignment operator
233CbcLotsize & 
234CbcLotsize::operator=( const CbcLotsize& rhs)
235{
236  if (this!=&rhs) {
237    CbcObject::operator=(rhs);
238    columnNumber_ = rhs.columnNumber_;
239    rangeType_ = rhs.rangeType_;
240    numberRanges_ = rhs.numberRanges_;
241    largestGap_ = rhs.largestGap_;
242    delete [] bound_;
243    range_ = rhs.range_;
244    if (numberRanges_) {
245      assert (rangeType_>0&&rangeType_<3);
246      bound_= new double [(numberRanges_+1)*rangeType_];
247      memcpy(bound_,rhs.bound_,(numberRanges_+1)*rangeType_*sizeof(double));
248    } else {
249      bound_=NULL;
250    }
251  }
252  return *this;
253}
254
255// Destructor
256CbcLotsize::~CbcLotsize ()
257{
258  delete [] bound_;
259}
260/* Finds range of interest so value is feasible in range range_ or infeasible
261   between hi[range_] and lo[range_+1].  Returns true if feasible.
262*/
263bool 
264CbcLotsize::findRange(double value) const
265{
266  assert (range_>=0&&range_<numberRanges_+1);
267  double integerTolerance = 
268    model_->getDblParam(CbcModel::CbcIntegerTolerance);
269  int iLo;
270  int iHi;
271  double infeasibility=0.0;
272  if (rangeType_==1) {
273    if (value<bound_[range_]-integerTolerance) {
274      iLo=0;
275      iHi=range_-1;
276    } else if (value<bound_[range_]+integerTolerance) {
277#if CBC_PRINT
278      printLotsize(value,true,0);
279#endif
280      return true;
281    } else if (value<bound_[range_+1]-integerTolerance) {
282#ifdef CBC_PRINT
283      printLotsize(value,false,0);
284#endif
285      return false;
286    } else {
287      iLo=range_+1;
288      iHi=numberRanges_-1;
289    }
290    // check lo and hi
291    bool found=false;
292    if (value>bound_[iLo]-integerTolerance&&value<bound_[iLo+1]+integerTolerance) {
293      range_=iLo;
294      found=true;
295    } else if (value>bound_[iHi]-integerTolerance&&value<bound_[iHi+1]+integerTolerance) {
296      range_=iHi;
297      found=true;
298    } else {
299      range_ = (iLo+iHi)>>1;
300    }
301    //points
302    while (!found) {
303      if (value<bound_[range_]) {
304        if (value>=bound_[range_-1]) {
305          // found
306          range_--;
307          break;
308        } else {
309          iHi = range_;
310        }
311      } else {
312        if (value<bound_[range_+1]) {
313          // found
314          break;
315        } else {
316          iLo = range_;
317        }
318      }
319      range_ = (iLo+iHi)>>1;
320    }
321    if (value-bound_[range_]<=bound_[range_+1]-value) {
322      infeasibility = value-bound_[range_];
323    } else {
324      infeasibility = bound_[range_+1]-value;
325      if (infeasibility<integerTolerance)
326        range_++;
327    }
328#ifdef CBC_PRINT
329    printLotsize(value,(infeasibility<integerTolerance),0);
330#endif
331    return (infeasibility<integerTolerance);
332  } else {
333    // ranges
334    if (value<bound_[2*range_]-integerTolerance) {
335      iLo=0;
336      iHi=range_-1;
337    } else if (value<bound_[2*range_+1]+integerTolerance) {
338#ifdef CBC_PRINT
339      printLotsize(value,true,0);
340#endif
341      return true;
342    } else if (value<bound_[2*range_+2]-integerTolerance) {
343#ifdef CBC_PRINT
344      printLotsize(value,false,0);
345#endif
346      return false;
347    } else {
348      iLo=range_+1;
349      iHi=numberRanges_-1;
350    }
351    // check lo and hi
352    bool found=false;
353    if (value>bound_[2*iLo]-integerTolerance&&value<bound_[2*iLo+2]-integerTolerance) {
354      range_=iLo;
355      found=true;
356    } else if (value>=bound_[2*iHi]-integerTolerance) {
357      range_=iHi;
358      found=true;
359    } else {
360      range_ = (iLo+iHi)>>1;
361    }
362    //points
363    while (!found) {
364      if (value<bound_[2*range_]) {
365        if (value>=bound_[2*range_-2]) {
366          // found
367          range_--;
368          break;
369        } else {
370          iHi = range_;
371        }
372      } else {
373        if (value<bound_[2*range_+2]) {
374          // found
375          break;
376        } else {
377          iLo = range_;
378        }
379      }
380      range_ = (iLo+iHi)>>1;
381    }
382    if (value>=bound_[2*range_]-integerTolerance&&value<=bound_[2*range_+1]+integerTolerance)
383      infeasibility=0.0;
384    else if (value-bound_[2*range_+1]<bound_[2*range_+2]-value) {
385      infeasibility = value-bound_[2*range_+1];
386    } else {
387      infeasibility = bound_[2*range_+2]-value;
388    }
389#ifdef CBC_PRINT
390    printLotsize(value,(infeasibility<integerTolerance),0);
391#endif
392    return (infeasibility<integerTolerance);
393  }
394}
395/* Returns floor and ceiling
396 */
397void 
398CbcLotsize::floorCeiling(double & floorLotsize, double & ceilingLotsize, double value,
399                         double tolerance) const
400{
401  bool feasible=findRange(value);
402  if (rangeType_==1) {
403    floorLotsize=bound_[range_];
404    ceilingLotsize=bound_[range_+1];
405    // may be able to adjust
406    if (feasible&&fabs(value-floorLotsize)>fabs(value-ceilingLotsize)) {
407      floorLotsize=bound_[range_+1];
408      ceilingLotsize=bound_[range_+2];
409    }
410  } else {
411    // ranges
412    assert (value>=bound_[2*range_+1]);
413    floorLotsize=bound_[2*range_+1];
414    ceilingLotsize=bound_[2*range_+2];
415  }
416}
417
418// Infeasibility - large is 0.5
419double 
420CbcLotsize::infeasibility(int & preferredWay) const
421{
422  OsiSolverInterface * solver = model_->solver();
423  const double * solution = model_->testSolution();
424  const double * lower = solver->getColLower();
425  const double * upper = solver->getColUpper();
426  double value = solution[columnNumber_];
427  value = CoinMax(value, lower[columnNumber_]);
428  value = CoinMin(value, upper[columnNumber_]);
429  double integerTolerance = 
430    model_->getDblParam(CbcModel::CbcIntegerTolerance);
431  /*printf("%d %g %g %g %g\n",columnNumber_,value,lower[columnNumber_],
432    solution[columnNumber_],upper[columnNumber_]);*/
433  assert (value>=bound_[0]-integerTolerance
434          &&value<=bound_[rangeType_*numberRanges_-1]+integerTolerance);
435  double infeasibility=0.0;
436  bool feasible = findRange(value);
437  if (!feasible) {
438    if (rangeType_==1) {
439      if (value-bound_[range_]<bound_[range_+1]-value) {
440        preferredWay=-1;
441        infeasibility = value-bound_[range_];
442      } else {
443        preferredWay=1;
444        infeasibility = bound_[range_+1]-value;
445      }
446    } else {
447      // ranges
448      if (value-bound_[2*range_+1]<bound_[2*range_+2]-value) {
449        preferredWay=-1;
450        infeasibility = value-bound_[2*range_+1];
451      } else {
452        preferredWay=1;
453        infeasibility = bound_[2*range_+2]-value;
454      }
455    }
456  } else {
457    // always satisfied
458    preferredWay=-1;
459  }
460  if (infeasibility<integerTolerance)
461    infeasibility=0.0;
462  else
463    infeasibility /= largestGap_;
464#ifdef CBC_PRINT
465    printLotsize(value,infeasibility,1);
466#endif
467  return infeasibility;
468}
469/* Column number if single column object -1 otherwise,
470   so returns >= 0
471   Used by heuristics
472*/
473int 
474CbcLotsize::columnNumber() const
475{
476  return columnNumber_;
477}
478// This looks at solution and sets bounds to contain solution
479/** More precisely: it first forces the variable within the existing
480    bounds, and then tightens the bounds to make sure the variable is feasible
481*/
482void 
483CbcLotsize::feasibleRegion()
484{
485  OsiSolverInterface * solver = model_->solver();
486  const double * lower = solver->getColLower();
487  const double * upper = solver->getColUpper();
488  const double * solution = model_->testSolution();
489  double value = solution[columnNumber_];
490  value = CoinMax(value, lower[columnNumber_]);
491  value = CoinMin(value, upper[columnNumber_]);
492  findRange(value);
493  double nearest;
494  if (rangeType_==1) {
495    nearest = bound_[range_];
496    solver->setColLower(columnNumber_,nearest);
497    solver->setColUpper(columnNumber_,nearest);
498  } else {
499    // ranges
500    solver->setColLower(columnNumber_,bound_[2*range_]);
501    solver->setColUpper(columnNumber_,bound_[2*range_+1]);
502    if (value>bound_[2*range_+1]) 
503      nearest=bound_[2*range_+1];
504    else if (value<bound_[2*range_]) 
505      nearest = bound_[2*range_];
506    else
507      nearest = value;
508  }
509#ifdef CBC_PRINT
510  // print details
511  printLotsize(value,true,2);
512#endif
513  // Scaling may have moved it a bit
514  // Lotsizing variables could be a lot larger
515#ifndef NDEBUG
516  double integerTolerance = 
517    model_->getDblParam(CbcModel::CbcIntegerTolerance);
518  assert (fabs(value-nearest)<=(100.0+10.0*fabs(nearest))*integerTolerance);
519#endif
520}
521
522// Creates a branching object
523CbcBranchingObject * 
524CbcLotsize::createBranch(int way) 
525{
526  OsiSolverInterface * solver = model_->solver();
527  const double * solution = model_->testSolution();
528  const double * lower = solver->getColLower();
529  const double * upper = solver->getColUpper();
530  double value = solution[columnNumber_];
531  value = CoinMax(value, lower[columnNumber_]);
532  value = CoinMin(value, upper[columnNumber_]);
533  assert (!findRange(value));
534  return new CbcLotsizeBranchingObject(model_,columnNumber_,way,
535                                             value,this);
536}
537
538
539/* Given valid solution (i.e. satisfied) and reduced costs etc
540   returns a branching object which would give a new feasible
541   point in direction reduced cost says would be cheaper.
542   If no feasible point returns null
543*/
544CbcBranchingObject * 
545CbcLotsize::preferredNewFeasible() const
546{
547  OsiSolverInterface * solver = model_->solver();
548
549  assert (findRange(model_->testSolution()[columnNumber_]));
550  double dj = solver->getObjSense()*solver->getReducedCost()[columnNumber_];
551  CbcLotsizeBranchingObject * object = NULL;
552  double lo,up;
553  if (dj>=0.0) {
554    // can we go down
555    if (range_) {
556      // yes
557      if (rangeType_==1) {
558        lo = bound_[range_-1];
559        up = bound_[range_-1];
560      } else {
561        lo = bound_[2*range_-2];
562        up = bound_[2*range_-1];
563      }
564      object = new CbcLotsizeBranchingObject(model_,columnNumber_,-1,
565                                             lo,up);
566    }
567  } else {
568    // can we go up
569    if (range_<numberRanges_-1) {
570      // yes
571      if (rangeType_==1) {
572        lo = bound_[range_+1];
573        up = bound_[range_+1];
574      } else {
575        lo = bound_[2*range_+2];
576        up = bound_[2*range_+3];
577      }
578      object = new CbcLotsizeBranchingObject(model_,columnNumber_,-1,
579                                             lo,up);
580    }
581  }
582  return object;
583}
584 
585/* Given valid solution (i.e. satisfied) and reduced costs etc
586   returns a branching object which would give a new feasible
587   point in direction opposite to one reduced cost says would be cheaper.
588   If no feasible point returns null
589*/
590CbcBranchingObject * 
591CbcLotsize::notPreferredNewFeasible() const 
592{
593  OsiSolverInterface * solver = model_->solver();
594  double value = model_->testSolution()[columnNumber_];
595
596#ifndef NDEBUG
597  double nearest = floor(value+0.5);
598  double integerTolerance = 
599    model_->getDblParam(CbcModel::CbcIntegerTolerance);
600  // Scaling may have moved it a bit
601  // Lotsizing variables could be a lot larger
602  assert (fabs(value-nearest)<=(10.0+10.0*fabs(nearest))*integerTolerance);
603#endif
604  double dj = solver->getObjSense()*solver->getReducedCost()[columnNumber_];
605  CbcLotsizeBranchingObject * object = NULL;
606  double lo,up;
607  if (dj<=0.0) {
608    // can we go down
609    if (range_) {
610      // yes
611      if (rangeType_==1) {
612        lo = bound_[range_-1];
613        up = bound_[range_-1];
614      } else {
615        lo = bound_[2*range_-2];
616        up = bound_[2*range_-1];
617      }
618      object = new CbcLotsizeBranchingObject(model_,columnNumber_,-1,
619                                             lo,up);
620    }
621  } else {
622    // can we go up
623    if (range_<numberRanges_-1) {
624      // yes
625      if (rangeType_==1) {
626        lo = bound_[range_+1];
627        up = bound_[range_+1];
628      } else {
629        lo = bound_[2*range_+2];
630        up = bound_[2*range_+3];
631      }
632      object = new CbcLotsizeBranchingObject(model_,columnNumber_,-1,
633                                             lo,up);
634    }
635  }
636  return object;
637}
638 
639/*
640  Bounds may be tightened, so it may be good to be able to refresh the local
641  copy of the original bounds.
642 */
643void 
644CbcLotsize::resetBounds()
645{
646  //printf("resetBounds needs coding for CbcLotSize\n");
647}
648
649
650// Default Constructor
651CbcLotsizeBranchingObject::CbcLotsizeBranchingObject()
652  :CbcBranchingObject()
653{
654  down_[0] = 0.0;
655  down_[1] = 0.0;
656  up_[0] = 0.0;
657  up_[1] = 0.0;
658}
659
660// Useful constructor
661CbcLotsizeBranchingObject::CbcLotsizeBranchingObject (CbcModel * model, 
662                                                      int variable, int way , double value,
663                                                      const CbcLotsize * lotsize)
664  :CbcBranchingObject(model,variable,way,value)
665{
666  int iColumn = lotsize->modelSequence();
667  assert (variable==iColumn);
668  down_[0] = model_->solver()->getColLower()[iColumn];
669  double integerTolerance = 
670    model_->getDblParam(CbcModel::CbcIntegerTolerance);
671  lotsize->floorCeiling(down_[1],up_[0],value,integerTolerance);
672  up_[1] = model->getColUpper()[iColumn];
673}
674// Useful constructor for fixing
675CbcLotsizeBranchingObject::CbcLotsizeBranchingObject (CbcModel * model, 
676                                                      int variable, int way,
677                                                      double lowerValue, 
678                                                      double upperValue)
679  :CbcBranchingObject(model,variable,way,lowerValue)
680{
681  numberBranchesLeft_=1;
682  down_[0] = lowerValue;
683  down_[1] = upperValue;
684  up_[0] = lowerValue;
685  up_[1] = upperValue;
686}
687 
688
689// Copy constructor
690CbcLotsizeBranchingObject::CbcLotsizeBranchingObject ( const CbcLotsizeBranchingObject & rhs) :CbcBranchingObject(rhs)
691{
692  down_[0] = rhs.down_[0];
693  down_[1] = rhs.down_[1];
694  up_[0] = rhs.up_[0];
695  up_[1] = rhs.up_[1];
696}
697
698// Assignment operator
699CbcLotsizeBranchingObject & 
700CbcLotsizeBranchingObject::operator=( const CbcLotsizeBranchingObject& rhs)
701{
702  if (this != &rhs) {
703    CbcBranchingObject::operator=(rhs);
704    down_[0] = rhs.down_[0];
705    down_[1] = rhs.down_[1];
706    up_[0] = rhs.up_[0];
707    up_[1] = rhs.up_[1];
708  }
709  return *this;
710}
711CbcBranchingObject * 
712CbcLotsizeBranchingObject::clone() const
713{ 
714  return (new CbcLotsizeBranchingObject(*this));
715}
716
717
718// Destructor
719CbcLotsizeBranchingObject::~CbcLotsizeBranchingObject ()
720{
721}
722
723/*
724  Perform a branch by adjusting the bounds of the specified variable. Note
725  that each arm of the branch advances the object to the next arm by
726  advancing the value of way_.
727
728  Providing new values for the variable's lower and upper bounds for each
729  branching direction gives a little bit of additional flexibility and will
730  be easily extensible to multi-way branching.
731*/
732double
733CbcLotsizeBranchingObject::branch(bool normalBranch)
734{
735  if (model_->messageHandler()->logLevel()>2&&normalBranch)
736    print(normalBranch);
737  numberBranchesLeft_--;
738  int iColumn = variable_;
739  if (way_<0) {
740#ifdef CBC_DEBUG
741  { double olb,oub ;
742    olb = model_->solver()->getColLower()[iColumn] ;
743    oub = model_->solver()->getColUpper()[iColumn] ;
744    printf("branching down on var %d: [%g,%g] => [%g,%g]\n",
745           iColumn,olb,oub,down_[0],down_[1]) ; }
746#endif
747    model_->solver()->setColLower(iColumn,down_[0]);
748    model_->solver()->setColUpper(iColumn,down_[1]);
749    way_=1;
750  } else {
751#ifdef CBC_DEBUG
752  { double olb,oub ;
753    olb = model_->solver()->getColLower()[iColumn] ;
754    oub = model_->solver()->getColUpper()[iColumn] ;
755    printf("branching up on var %d: [%g,%g] => [%g,%g]\n",
756           iColumn,olb,oub,up_[0],up_[1]) ; }
757#endif
758    model_->solver()->setColLower(iColumn,up_[0]);
759    model_->solver()->setColUpper(iColumn,up_[1]);
760    way_=-1;      // Swap direction
761  }
762  return 0.0;
763}
764// Print
765void
766CbcLotsizeBranchingObject::print(bool normalBranch)
767{
768  int iColumn = variable_;
769  if (way_<0) {
770  { double olb,oub ;
771    olb = model_->solver()->getColLower()[iColumn] ;
772    oub = model_->solver()->getColUpper()[iColumn] ;
773    printf("branching down on var %d: [%g,%g] => [%g,%g]\n",
774           iColumn,olb,oub,down_[0],down_[1]) ; }
775  } else {
776  { double olb,oub ;
777    olb = model_->solver()->getColLower()[iColumn] ;
778    oub = model_->solver()->getColUpper()[iColumn] ;
779    printf("branching up on var %d: [%g,%g] => [%g,%g]\n",
780           iColumn,olb,oub,up_[0],up_[1]) ; }
781  }
782}
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