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AbcSimplex.cpp
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AbcSimplex.cpp
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// Copyright (C) 2000, International Business Machines
// Corporation and others, Copyright (C) 2012, FasterCoin. All Rights Reserved.
// This code is licensed under the terms of the Eclipse Public License (EPL).
#include <math.h>
#include <cfloat>
#include <string>
#include <stdio.h>
#include <iostream>
#include "CoinUtilsConfig.h"
#include "ClpConfig.h"
//#define ABC_DEBUG 2
#if SLIM_CLP == 2
#define SLIM_NOIO
#endif
#include "CoinPragma.hpp"
#include "CoinHelperFunctions.hpp"
#include "CoinFloatEqual.hpp"
#include "ClpSimplex.hpp"
#include "AbcSimplex.hpp"
#include "AbcSimplexDual.hpp"
#include "AbcSimplexFactorization.hpp"
#include "AbcNonLinearCost.hpp"
#include "CoinAbcCommon.hpp"
#include "AbcMatrix.hpp"
#include "CoinIndexedVector.hpp"
#include "AbcDualRowDantzig.hpp"
#include "AbcDualRowSteepest.hpp"
#include "AbcPrimalColumnDantzig.hpp"
#include "AbcPrimalColumnSteepest.hpp"
#include "ClpMessage.hpp"
#include "ClpEventHandler.hpp"
#include "ClpLinearObjective.hpp"
#include "CoinAbcHelperFunctions.hpp"
#include "CoinModel.hpp"
#include "CoinLpIO.hpp"
#if defined(COINUTILS_HAS_GLPK) && defined(CLP_HAS_GLPK)
#include "glpk.h"
#endif
//#############################################################################
AbcSimplex::AbcSimplex(bool emptyMessages)
:
ClpSimplex(emptyMessages)
{
gutsOfDelete(0);
gutsOfInitialize(0, 0, true);
assert(maximumAbcNumberRows_ >= 0);
//printf("XX %x AbcSimplex constructor\n",this);
}
//-----------------------------------------------------------------------------
AbcSimplex::~AbcSimplex()
{
//printf("XX %x AbcSimplex destructor\n",this);
gutsOfDelete(1);
}
// Copy constructor.
AbcSimplex::AbcSimplex(const AbcSimplex &rhs)
: ClpSimplex(rhs)
{
//printf("XX %x AbcSimplex constructor from %x\n",this,&rhs);
gutsOfDelete(0);
gutsOfInitialize(numberRows_, numberColumns_, false);
gutsOfCopy(rhs);
assert(maximumAbcNumberRows_ >= 0);
}
#include "ClpDualRowSteepest.hpp"
#include "ClpPrimalColumnSteepest.hpp"
#include "ClpFactorization.hpp"
// Copy constructor from model
AbcSimplex::AbcSimplex(const ClpSimplex &rhs)
: ClpSimplex(rhs)
{
//printf("XX %x AbcSimplex constructor from ClpSimplex\n",this);
gutsOfDelete(0);
gutsOfInitialize(numberRows_, numberColumns_, true);
gutsOfResize(numberRows_, numberColumns_);
// Set up row/column selection and factorization type
ClpDualRowSteepest *pivot = dynamic_cast< ClpDualRowSteepest * >(rhs.dualRowPivot());
if (pivot) {
AbcDualRowSteepest steep(pivot->mode());
setDualRowPivotAlgorithm(steep);
} else {
AbcDualRowDantzig dantzig;
setDualRowPivotAlgorithm(dantzig);
}
ClpPrimalColumnSteepest *pivotColumn = dynamic_cast< ClpPrimalColumnSteepest * >(rhs.primalColumnPivot());
if (pivotColumn) {
AbcPrimalColumnSteepest steep(pivotColumn->mode());
setPrimalColumnPivotAlgorithm(steep);
} else {
AbcPrimalColumnDantzig dantzig;
setPrimalColumnPivotAlgorithm(dantzig);
}
//if (rhs.factorization()->)
//factorization_->forceOtherFactorization();
factorization()->synchronize(rhs.factorization(), this);
//factorization_->setGoDenseThreshold(rhs.factorization()->goDenseThreshold());
//factorization_->setGoSmallThreshold(rhs.factorization()->goSmallThreshold());
translate(DO_SCALE_AND_MATRIX | DO_BASIS_AND_ORDER | DO_STATUS | DO_SOLUTION);
assert(maximumAbcNumberRows_ >= 0);
}
// Assignment operator. This copies the data
AbcSimplex &
AbcSimplex::operator=(const AbcSimplex &rhs)
{
if (this != &rhs) {
gutsOfDelete(1);
ClpSimplex::operator=(rhs);
gutsOfCopy(rhs);
assert(maximumAbcNumberRows_ >= 0);
}
return *this;
}
// fills in perturbationSaved_ from start with 0.5+random
void AbcSimplex::fillPerturbation(int start, int number)
{
double *array = perturbationSaved_ + start;
for (int i = 0; i < number; i++)
array[i] = 0.5 + 0.5 * randomNumberGenerator_.randomDouble();
}
// Sets up all extra pointers
void AbcSimplex::setupPointers(int maxRows, int maxColumns)
{
int numberTotal = maxRows + maxColumns;
scaleToExternal_ = scaleFromExternal_ + numberTotal;
tempArray_ = offset_ + numberTotal;
lowerSaved_ = abcLower_ + numberTotal;
upperSaved_ = abcUpper_ + numberTotal;
costSaved_ = abcCost_ + numberTotal;
solutionSaved_ = abcSolution_ + numberTotal;
djSaved_ = abcDj_ + numberTotal;
internalStatusSaved_ = internalStatus_ + numberTotal;
perturbationSaved_ = abcPerturbation_ + numberTotal;
offsetRhs_ = tempArray_ + numberTotal;
lowerBasic_ = lowerSaved_ + numberTotal;
upperBasic_ = upperSaved_ + numberTotal;
costBasic_ = costSaved_ + 2 * numberTotal;
solutionBasic_ = solutionSaved_ + numberTotal;
djBasic_ = djSaved_ + numberTotal;
perturbationBasic_ = perturbationSaved_ + numberTotal;
columnUseScale_ = scaleToExternal_ + maxRows;
inverseColumnUseScale_ = scaleFromExternal_ + maxRows;
}
// Copies all saved versions to working versions and may do something for perturbation
void AbcSimplex::copyFromSaved(int which)
{
if ((which & 1) != 0)
CoinAbcMemcpy(abcSolution_, solutionSaved_, maximumNumberTotal_);
if ((which & 2) != 0)
CoinAbcMemcpy(abcCost_, costSaved_, maximumNumberTotal_);
if ((which & 4) != 0)
CoinAbcMemcpy(abcLower_, lowerSaved_, maximumNumberTotal_);
if ((which & 8) != 0)
CoinAbcMemcpy(abcUpper_, upperSaved_, maximumNumberTotal_);
if ((which & 16) != 0)
CoinAbcMemcpy(abcDj_, djSaved_, maximumNumberTotal_);
if ((which & 32) != 0) {
CoinAbcMemcpy(abcLower_, abcPerturbation_, numberTotal_);
CoinAbcMemcpy(abcUpper_, abcPerturbation_ + numberTotal_, numberTotal_);
}
}
void AbcSimplex::gutsOfCopy(const AbcSimplex &rhs)
{
#ifdef ABC_INHERIT
abcSimplex_ = this;
#endif
assert(numberRows_ == rhs.numberRows_);
assert(numberColumns_ == rhs.numberColumns_);
numberTotal_ = rhs.numberTotal_;
maximumNumberTotal_ = rhs.maximumNumberTotal_;
// special options here to be safe
specialOptions_ = rhs.specialOptions_;
//assert (maximumInternalRows_ >= numberRows_);
//assert (maximumInternalColumns_ >= numberColumns_);
// Copy all scalars
CoinAbcMemcpy(reinterpret_cast< int * >(&sumNonBasicCosts_),
reinterpret_cast< const int * >(&rhs.sumNonBasicCosts_),
(&swappedAlgorithm_ - reinterpret_cast< int * >(&sumNonBasicCosts_)) + 1);
// could add 2 so can go off end
int sizeArray = 2 * maximumNumberTotal_ + maximumAbcNumberRows_;
internalStatus_ = ClpCopyOfArray(rhs.internalStatus_, sizeArray + maximumNumberTotal_);
abcLower_ = ClpCopyOfArray(rhs.abcLower_, sizeArray);
abcUpper_ = ClpCopyOfArray(rhs.abcUpper_, sizeArray);
abcCost_ = ClpCopyOfArray(rhs.abcCost_, sizeArray + maximumNumberTotal_);
abcDj_ = ClpCopyOfArray(rhs.abcDj_, sizeArray);
abcSolution_ = ClpCopyOfArray(rhs.abcSolution_, sizeArray + maximumNumberTotal_);
abcPerturbation_ = ClpCopyOfArray(rhs.abcPerturbation_, sizeArray);
abcPivotVariable_ = ClpCopyOfArray(rhs.abcPivotVariable_, maximumAbcNumberRows_);
//fromExternal_ = ClpCopyOfArray(rhs.fromExternal_,sizeArray);
//toExternal_ = ClpCopyOfArray(rhs.toExternal_,sizeArray);
scaleFromExternal_ = ClpCopyOfArray(rhs.scaleFromExternal_, sizeArray);
offset_ = ClpCopyOfArray(rhs.offset_, sizeArray);
setupPointers(maximumAbcNumberRows_, maximumAbcNumberColumns_);
if (rhs.abcMatrix_)
abcMatrix_ = new AbcMatrix(*rhs.abcMatrix_);
else
abcMatrix_ = NULL;
for (int i = 0; i < ABC_NUMBER_USEFUL; i++) {
usefulArray_[i] = rhs.usefulArray_[i];
}
if (rhs.abcFactorization_) {
setFactorization(*rhs.abcFactorization_);
} else {
delete abcFactorization_;
abcFactorization_ = NULL;
}
#ifdef EARLY_FACTORIZE
delete abcEarlyFactorization_;
if (rhs.abcEarlyFactorization_) {
abcEarlyFactorization_ = new AbcSimplexFactorization(*rhs.abcEarlyFactorization_);
} else {
abcEarlyFactorization_ = NULL;
}
#endif
abcDualRowPivot_ = rhs.abcDualRowPivot_->clone(true);
abcDualRowPivot_->setModel(this);
abcPrimalColumnPivot_ = rhs.abcPrimalColumnPivot_->clone(true);
abcPrimalColumnPivot_->setModel(this);
if (rhs.abcBaseModel_) {
abcBaseModel_ = new AbcSimplex(*rhs.abcBaseModel_);
} else {
abcBaseModel_ = NULL;
}
if (rhs.clpModel_) {
clpModel_ = new ClpSimplex(*rhs.clpModel_);
} else {
clpModel_ = NULL;
}
abcProgress_ = rhs.abcProgress_;
solveType_ = rhs.solveType_;
}
// type == 0 nullify, 1 also delete
void AbcSimplex::gutsOfDelete(int type)
{
if (type) {
delete[] abcLower_;
delete[] abcUpper_;
delete[] abcCost_;
delete[] abcDj_;
delete[] abcSolution_;
//delete [] fromExternal_ ;
//delete [] toExternal_ ;
delete[] scaleFromExternal_;
//delete [] scaleToExternal_ ;
delete[] offset_;
delete[] internalStatus_;
delete[] abcPerturbation_;
delete abcMatrix_;
delete abcFactorization_;
#ifdef EARLY_FACTORIZE
delete abcEarlyFactorization_;
#endif
delete[] abcPivotVariable_;
delete abcDualRowPivot_;
delete abcPrimalColumnPivot_;
delete abcBaseModel_;
delete clpModel_;
delete abcNonLinearCost_;
}
CoinAbcMemset0(reinterpret_cast< char * >(&scaleToExternal_),
reinterpret_cast< char * >(&usefulArray_[0]) - reinterpret_cast< char * >(&scaleToExternal_));
}
template < class T >
T *newArray(T * /*nullArray*/, int size)
{
if (size) {
T *arrayNew = new T[size];
#ifndef NDEBUG
memset(arrayNew, 'A', (size) * sizeof(T));
#endif
return arrayNew;
} else {
return NULL;
}
}
template < class T >
T *resizeArray(T *array, int oldSize1, int oldSize2, int newSize1, int newSize2, int extra)
{
if ((array || !oldSize1) && (newSize1 != oldSize1 || newSize2 != oldSize2)) {
int newTotal = newSize1 + newSize2;
int oldTotal = oldSize1 + oldSize2;
T *arrayNew;
if (newSize1 > oldSize1 || newSize2 > oldSize2) {
arrayNew = new T[2 * newTotal + newSize1 + extra];
#ifndef NDEBUG
memset(arrayNew, 'A', (2 * newTotal + newSize1 + extra) * sizeof(T));
#endif
CoinAbcMemcpy(arrayNew, array, oldSize1);
CoinAbcMemcpy(arrayNew + newSize1, array + oldSize1, oldSize2);
// and second half
CoinAbcMemcpy(arrayNew + newTotal, array, oldSize1 + oldTotal);
CoinAbcMemcpy(arrayNew + newSize1 + newTotal, array + oldSize1 + oldTotal, oldSize2);
delete[] array;
} else {
arrayNew = array;
for (int i = 0; i < newSize2; i++)
array[newSize1 + i] = array[oldSize1 + i];
for (int i = 0; i < newSize1; i++)
array[newTotal + i] = array[oldTotal + i];
for (int i = 0; i < newSize2; i++)
array[newSize1 + newTotal + i] = array[oldSize1 + oldTotal + i];
}
return arrayNew;
} else {
return array;
}
}
// Initializes arrays
void AbcSimplex::gutsOfInitialize(int numberRows, int numberColumns, bool doMore)
{
#ifdef ABC_INHERIT
abcSimplex_ = this;
#endif
// Zero all
CoinAbcMemset0(&sumNonBasicCosts_, (reinterpret_cast< double * >(&usefulArray_[0]) - &sumNonBasicCosts_));
zeroTolerance_ = 1.0e-13;
bestObjectiveValue_ = -COIN_DBL_MAX;
primalToleranceToGetOptimal_ = -1.0;
primalTolerance_ = 1.0e-6;
//dualTolerance_ = 1.0e-6;
alphaAccuracy_ = -1.0;
upperIn_ = -COIN_DBL_MAX;
lowerOut_ = -1;
valueOut_ = -1;
upperOut_ = -1;
dualOut_ = -1;
acceptablePivot_ = 1.0e-8;
//dualBound_=1.0e9;
sequenceIn_ = -1;
directionIn_ = -1;
sequenceOut_ = -1;
directionOut_ = -1;
pivotRow_ = -1;
lastGoodIteration_ = -100;
numberPrimalInfeasibilities_ = 100;
numberRefinements_ = 1;
changeMade_ = 1;
forceFactorization_ = -1;
if (perturbation_ < 50 || (perturbation_ > 60 && perturbation_ < 100))
perturbation_ = 50;
lastBadIteration_ = -999999;
lastFlaggedIteration_ = -999999; // doesn't seem to be used
firstFree_ = -1;
incomingInfeasibility_ = 1.0;
allowedInfeasibility_ = 10.0;
solveType_ = 1; // say simplex based life form
//specialOptions_|=65536;
//ClpModel::startPermanentArrays();
maximumInternalRows_ = 0;
maximumInternalColumns_ = 0;
numberRows_ = numberRows;
numberColumns_ = numberColumns;
numberTotal_ = numberRows_ + numberColumns_;
maximumAbcNumberRows_ = numberRows;
maximumAbcNumberColumns_ = numberColumns;
maximumNumberTotal_ = numberTotal_;
int sizeArray = 2 * maximumNumberTotal_ + maximumAbcNumberRows_;
if (doMore) {
// say Steepest pricing
abcDualRowPivot_ = new AbcDualRowSteepest();
abcPrimalColumnPivot_ = new AbcPrimalColumnSteepest();
internalStatus_ = newArray((unsigned char *)NULL,
sizeArray + maximumNumberTotal_);
abcLower_ = newArray((double *)NULL, sizeArray);
abcUpper_ = newArray((double *)NULL, sizeArray);
abcCost_ = newArray((double *)NULL, sizeArray + maximumNumberTotal_);
abcDj_ = newArray((double *)NULL, sizeArray);
abcSolution_ = newArray((double *)NULL, sizeArray + maximumNumberTotal_);
//fromExternal_ = newArray((int *)NULL,sizeArray);
//toExternal_ = newArray((int *)NULL,sizeArray);
scaleFromExternal_ = newArray((double *)NULL, sizeArray);
offset_ = newArray((double *)NULL, sizeArray);
abcPerturbation_ = newArray((double *)NULL, sizeArray);
abcPivotVariable_ = newArray((int *)NULL, maximumAbcNumberRows_);
// Fill perturbation array
setupPointers(maximumAbcNumberRows_, maximumAbcNumberColumns_);
fillPerturbation(0, maximumNumberTotal_);
}
// get an empty factorization so we can set tolerances etc
getEmptyFactorization();
for (int i = 0; i < ABC_NUMBER_USEFUL; i++)
usefulArray_[i].reserve(CoinMax(CoinMax(numberTotal_, maximumAbcNumberRows_ + 200), 2 * numberRows_));
//savedStatus_ = internalStatus_+maximumNumberTotal_;
//startPermanentArrays();
}
// resizes arrays
void AbcSimplex::gutsOfResize(int numberRows, int numberColumns)
{
if (!abcSolution_) {
numberRows_ = 0;
numberColumns_ = 0;
numberTotal_ = 0;
maximumAbcNumberRows_ = 0;
maximumAbcNumberColumns_ = 0;
maximumNumberTotal_ = 0;
}
if (numberRows == numberRows_ && numberColumns == numberColumns_)
return;
// can do on state bit
int newSize1 = CoinMax(numberRows, maximumAbcNumberRows_);
if ((stateOfProblem_ & ADD_A_BIT) != 0 && numberRows > maximumAbcNumberRows_)
newSize1 = CoinMax(numberRows, maximumAbcNumberRows_ + CoinMin(100, numberRows_ / 10));
int newSize2 = CoinMax(numberColumns, maximumAbcNumberColumns_);
numberRows_ = numberRows;
numberColumns_ = numberColumns;
numberTotal_ = numberRows_ + numberColumns_;
//fromExternal_ = resizeArray(fromExternal_,maximumAbcNumberRows_,maximumAbcNumberColumns_,newSize1,newSize2,1);
//toExternal_ = resizeArray(toExternal_,maximumAbcNumberRows_,maximumAbcNumberColumns_,newSize1,newSize2,1,0);
scaleFromExternal_ = resizeArray(scaleFromExternal_, maximumAbcNumberRows_, maximumAbcNumberColumns_, newSize1, newSize2, 0);
//scaleToExternal_ = resizeArray(scaleToExternal_,maximumAbcNumberRows_,maximumAbcNumberColumns_,newSize1,newSize2,1,0);
internalStatus_ = resizeArray(internalStatus_, maximumAbcNumberRows_,
maximumAbcNumberColumns_,
newSize1, newSize2, numberTotal_);
abcLower_ = resizeArray(abcLower_, maximumAbcNumberRows_, maximumAbcNumberColumns_, newSize1, newSize2, 0);
abcUpper_ = resizeArray(abcUpper_, maximumAbcNumberRows_, maximumAbcNumberColumns_, newSize1, newSize2, 0);
abcCost_ = resizeArray(abcCost_, maximumAbcNumberRows_, maximumAbcNumberColumns_, newSize1, newSize2, numberTotal_);
abcDj_ = resizeArray(abcDj_, maximumAbcNumberRows_, maximumAbcNumberColumns_, newSize1, newSize2, 0);
abcSolution_ = resizeArray(abcSolution_, maximumAbcNumberRows_, maximumAbcNumberColumns_, newSize1, newSize2, numberTotal_);
abcPerturbation_ = resizeArray(abcPerturbation_, maximumAbcNumberRows_, maximumAbcNumberColumns_, newSize1, newSize2, 0);
offset_ = resizeArray(offset_, maximumAbcNumberRows_, maximumAbcNumberColumns_, newSize1, newSize2, 0);
setupPointers(newSize1, newSize2);
// Fill gaps in perturbation array
fillPerturbation(maximumAbcNumberRows_, newSize1 - maximumAbcNumberRows_);
fillPerturbation(newSize1 + maximumAbcNumberColumns_, newSize2 - maximumAbcNumberColumns_);
// Clean gap
//CoinIotaN(fromExternal_+maximumAbcNumberRows_,newSize1-maximumAbcNumberRows_,maximumAbcNumberRows_);
//CoinIotaN(toExternal_+maximumAbcNumberRows_,newSize1-maximumAbcNumberRows_,maximumAbcNumberRows_);
CoinFillN(scaleFromExternal_ + maximumAbcNumberRows_, newSize1 - maximumAbcNumberRows_, 1.0);
CoinFillN(scaleToExternal_ + maximumAbcNumberRows_, newSize1 - maximumAbcNumberRows_, 1.0);
CoinFillN(internalStatusSaved_ + maximumAbcNumberRows_, newSize1 - maximumAbcNumberRows_, static_cast< unsigned char >(1));
CoinFillN(lowerSaved_ + maximumAbcNumberRows_, newSize1 - maximumAbcNumberRows_, -COIN_DBL_MAX);
CoinFillN(upperSaved_ + maximumAbcNumberRows_, newSize1 - maximumAbcNumberRows_, COIN_DBL_MAX);
CoinFillN(costSaved_ + maximumAbcNumberRows_, newSize1 - maximumAbcNumberRows_, 0.0);
CoinFillN(djSaved_ + maximumAbcNumberRows_, newSize1 - maximumAbcNumberRows_, 0.0);
CoinFillN(solutionSaved_ + maximumAbcNumberRows_, newSize1 - maximumAbcNumberRows_, 0.0);
CoinFillN(offset_ + maximumAbcNumberRows_, newSize1 - maximumAbcNumberRows_, 0.0);
maximumAbcNumberRows_ = newSize1;
maximumAbcNumberColumns_ = newSize2;
maximumNumberTotal_ = newSize1 + newSize2;
delete[] abcPivotVariable_;
abcPivotVariable_ = new int[maximumAbcNumberRows_];
for (int i = 0; i < ABC_NUMBER_USEFUL; i++)
usefulArray_[i].reserve(CoinMax(numberTotal_, maximumAbcNumberRows_ + 200));
}
void AbcSimplex::translate(int type)
{
// clear bottom bits
stateOfProblem_ &= ~(VALUES_PASS - 1);
if ((type & DO_SCALE_AND_MATRIX) != 0) {
//stateOfProblem_ |= DO_SCALE_AND_MATRIX;
stateOfProblem_ |= DO_SCALE_AND_MATRIX;
delete abcMatrix_;
abcMatrix_ = new AbcMatrix(*matrix());
abcMatrix_->setModel(this);
abcMatrix_->scale(scalingFlag_ ? 0 : -1);
}
if ((type & DO_STATUS) != 0 && (type & DO_BASIS_AND_ORDER) == 0) {
// from Clp enum to Abc enum (and bound flip)
unsigned char lookupToAbcSlack[6] = { 4, 6, 0 /*1*/, 1 /*0*/, 5, 7 };
unsigned char *COIN_RESTRICT statusAbc = internalStatus_;
const unsigned char *COIN_RESTRICT statusClp = status_;
int i;
for (i = numberRows_ - 1; i >= 0; i--) {
unsigned char status = statusClp[i] & 7;
bool basicClp = status == 1;
bool basicAbc = (statusAbc[i] & 7) == 4;
if (basicClp == basicAbc)
statusAbc[i] = lookupToAbcSlack[status];
else
break;
}
if (!i) {
// from Clp enum to Abc enum
unsigned char lookupToAbc[6] = { 4, 6, 1, 0, 5, 7 };
statusAbc += maximumAbcNumberRows_;
statusClp += maximumAbcNumberRows_;
for (i = numberColumns_ - 1; i >= 0; i--) {
unsigned char status = statusClp[i] & 7;
bool basicClp = status == 1;
bool basicAbc = (statusAbc[i] & 7) == 4;
if (basicClp == basicAbc)
statusAbc[i] = lookupToAbc[status];
else
break;
}
if (i)
type |= DO_BASIS_AND_ORDER;
} else {
type |= DO_BASIS_AND_ORDER;
}
stateOfProblem_ |= DO_STATUS;
}
if ((type & DO_BASIS_AND_ORDER) != 0) {
permuteIn();
permuteBasis();
stateOfProblem_ |= DO_BASIS_AND_ORDER;
type &= ~DO_SOLUTION;
}
if ((type & DO_SOLUTION) != 0) {
permuteBasis();
stateOfProblem_ |= DO_SOLUTION;
}
if ((type & DO_JUST_BOUNDS) != 0) {
stateOfProblem_ |= DO_JUST_BOUNDS;
}
if (!type) {
// just move stuff down
CoinAbcMemcpy(abcLower_, abcLower_ + maximumNumberTotal_, numberTotal_);
CoinAbcMemcpy(abcUpper_, abcUpper_ + maximumNumberTotal_, numberTotal_);
CoinAbcMemcpy(abcCost_, abcCost_ + maximumNumberTotal_, numberTotal_);
}
}
#ifdef ABC_SPRINT
// Overwrite to create sub problem (just internal arrays) - save full stuff
AbcSimplex *
AbcSimplex::createSubProblem(int numberColumns, const int *whichColumn)
{
int numberFullColumns = numberColumns_;
numberColumns_ = numberColumns;
AbcSimplex *subProblem = this;
AbcSimplex *fullProblem = reinterpret_cast< AbcSimplex * >(new char[sizeof(AbcSimplex)]);
memset(fullProblem, 0, sizeof(AbcSimplex));
fullProblem->maximumAbcNumberRows_ = maximumAbcNumberRows_;
fullProblem->numberColumns_ = numberFullColumns;
fullProblem->numberTotal_ = numberTotal_;
fullProblem->maximumNumberTotal_ = maximumNumberTotal_;
fullProblem->numberTotalWithoutFixed_ = numberTotalWithoutFixed_;
fullProblem->abcPrimalColumnPivot_ = abcPrimalColumnPivot_;
fullProblem->internalStatus_ = internalStatus_;
fullProblem->abcLower_ = abcLower_;
fullProblem->abcUpper_ = abcUpper_;
fullProblem->abcCost_ = abcCost_;
fullProblem->abcDj_ = abcDj_;
fullProblem->abcSolution_ = abcSolution_;
fullProblem->scaleFromExternal_ = scaleFromExternal_;
fullProblem->offset_ = offset_;
fullProblem->abcPerturbation_ = abcPerturbation_;
fullProblem->abcPivotVariable_ = abcPivotVariable_;
fullProblem->abcMatrix_ = abcMatrix_;
fullProblem->abcNonLinearCost_ = abcNonLinearCost_;
fullProblem->setupPointers(maximumAbcNumberRows_, numberFullColumns);
subProblem->numberTotal_ = maximumAbcNumberRows_ + numberColumns;
subProblem->maximumNumberTotal_ = maximumAbcNumberRows_ + numberColumns;
subProblem->numberTotalWithoutFixed_ = subProblem->numberTotal_;
int sizeArray = 2 * subProblem->maximumNumberTotal_ + maximumAbcNumberRows_;
subProblem->internalStatus_ = newArray((unsigned char *)NULL,
sizeArray + subProblem->maximumNumberTotal_);
subProblem->abcLower_ = newArray((double *)NULL, sizeArray);
subProblem->abcUpper_ = newArray((double *)NULL, sizeArray);
subProblem->abcCost_ = newArray((double *)NULL, sizeArray + subProblem->maximumNumberTotal_);
subProblem->abcDj_ = newArray((double *)NULL, sizeArray);
subProblem->abcSolution_ = newArray((double *)NULL, sizeArray + subProblem->maximumNumberTotal_);
//fromExternal_ = newArray((int *)NULL,sizeArray);
//toExternal_ = newArray((int *)NULL,sizeArray);
subProblem->scaleFromExternal_ = newArray((double *)NULL, sizeArray);
subProblem->offset_ = newArray((double *)NULL, sizeArray);
subProblem->abcPerturbation_ = newArray((double *)NULL, sizeArray);
subProblem->abcPivotVariable_ = newArray((int *)NULL, maximumAbcNumberRows_);
subProblem->setupPointers(maximumAbcNumberRows_, numberColumns);
// could use arrays - but for now be safe
int *backward = new int[numberFullColumns + numberRows_];
int *whichRow = backward + numberFullColumns;
for (int i = 0; i < numberFullColumns; i++)
backward[i] = -1;
for (int i = 0; i < numberColumns; i++)
backward[whichColumn[i]] = i + numberRows_;
for (int i = 0; i < numberRows_; i++) {
whichRow[i] = i;
int iPivot = fullProblem->abcPivotVariable_[i];
if (iPivot < numberRows_) {
subProblem->abcPivotVariable_[i] = iPivot;
} else {
assert(backward[iPivot - numberRows_] >= 0);
subProblem->abcPivotVariable_[i] = backward[iPivot - numberRows_];
}
subProblem->internalStatus_[i] = fullProblem->internalStatus_[i];
subProblem->abcLower_[i] = fullProblem->abcLower_[i];
subProblem->abcUpper_[i] = fullProblem->abcUpper_[i];
subProblem->abcCost_[i] = fullProblem->abcCost_[i];
subProblem->abcDj_[i] = fullProblem->abcDj_[i];
subProblem->abcSolution_[i] = fullProblem->abcSolution_[i];
subProblem->abcPerturbation_[i] = fullProblem->abcPerturbation_[i];
subProblem->internalStatusSaved_[i] = fullProblem->internalStatusSaved_[i];
subProblem->perturbationSaved_[i] = fullProblem->perturbationSaved_[i];
subProblem->lowerSaved_[i] = fullProblem->lowerSaved_[i];
subProblem->upperSaved_[i] = fullProblem->upperSaved_[i];
subProblem->costSaved_[i] = fullProblem->costSaved_[i];
subProblem->djSaved_[i] = fullProblem->djSaved_[i];
subProblem->solutionSaved_[i] = fullProblem->solutionSaved_[i];
subProblem->offset_[i] = fullProblem->offset_[i];
subProblem->lowerBasic_[i] = fullProblem->lowerBasic_[i];
subProblem->upperBasic_[i] = fullProblem->upperBasic_[i];
subProblem->costBasic_[i] = fullProblem->costBasic_[i];
subProblem->solutionBasic_[i] = fullProblem->solutionBasic_[i];
subProblem->djBasic_[i] = fullProblem->djBasic_[i];
}
for (int i = 0; i < numberColumns; i++) {
int k = whichColumn[i];
subProblem->internalStatus_[maximumAbcNumberRows_ + i] = fullProblem->internalStatus_[maximumAbcNumberRows_ + k];
subProblem->internalStatus_[maximumAbcNumberRows_ + i] = fullProblem->internalStatus_[maximumAbcNumberRows_ + k];
subProblem->abcLower_[maximumAbcNumberRows_ + i] = fullProblem->abcLower_[maximumAbcNumberRows_ + k];
subProblem->abcUpper_[maximumAbcNumberRows_ + i] = fullProblem->abcUpper_[maximumAbcNumberRows_ + k];
subProblem->abcCost_[maximumAbcNumberRows_ + i] = fullProblem->abcCost_[maximumAbcNumberRows_ + k];
subProblem->abcDj_[maximumAbcNumberRows_ + i] = fullProblem->abcDj_[maximumAbcNumberRows_ + k];
subProblem->abcSolution_[maximumAbcNumberRows_ + i] = fullProblem->abcSolution_[maximumAbcNumberRows_ + k];
subProblem->abcPerturbation_[maximumAbcNumberRows_ + i] = fullProblem->abcPerturbation_[maximumAbcNumberRows_ + k];
subProblem->internalStatusSaved_[maximumAbcNumberRows_ + i] = fullProblem->internalStatusSaved_[maximumAbcNumberRows_ + k];
subProblem->perturbationSaved_[maximumAbcNumberRows_ + i] = fullProblem->perturbationSaved_[maximumAbcNumberRows_ + k];
subProblem->lowerSaved_[maximumAbcNumberRows_ + i] = fullProblem->lowerSaved_[maximumAbcNumberRows_ + k];
subProblem->upperSaved_[maximumAbcNumberRows_ + i] = fullProblem->upperSaved_[maximumAbcNumberRows_ + k];
subProblem->costSaved_[maximumAbcNumberRows_ + i] = fullProblem->costSaved_[maximumAbcNumberRows_ + k];
subProblem->djSaved_[maximumAbcNumberRows_ + i] = fullProblem->djSaved_[maximumAbcNumberRows_ + k];
subProblem->solutionSaved_[maximumAbcNumberRows_ + i] = fullProblem->solutionSaved_[maximumAbcNumberRows_ + k];
subProblem->offset_[maximumAbcNumberRows_ + i] = fullProblem->offset_[maximumAbcNumberRows_ + k];
}
subProblem->abcNonLinearCost_ = new AbcNonLinearCost(subProblem);
subProblem->abcNonLinearCost_->checkInfeasibilities(0.0);
subProblem->abcMatrix_ = new AbcMatrix(*fullProblem->abcMatrix_, numberRows_, whichRow,
numberColumns, whichColumn);
subProblem->abcMatrix_->setModel(subProblem);
subProblem->abcMatrix_->rebalance();
subProblem->abcPrimalColumnPivot_ = new AbcPrimalColumnSteepest();
subProblem->abcPrimalColumnPivot_->saveWeights(subProblem, 2);
delete[] backward;
// swap
return fullProblem;
}
// Restore stuff from sub problem (and delete sub problem)
void AbcSimplex::restoreFromSubProblem(AbcSimplex *fullProblem, const int *whichColumn)
{
AbcSimplex *subProblem = this;
for (int i = 0; i < numberRows_; i++) {
int iPivot = subProblem->abcPivotVariable_[i];
if (iPivot < numberRows_) {
fullProblem->abcPivotVariable_[i] = iPivot;
} else {
fullProblem->abcPivotVariable_[i] = whichColumn[iPivot - numberRows_] + numberRows_;
}
fullProblem->internalStatus_[i] = subProblem->internalStatus_[i];
fullProblem->abcLower_[i] = subProblem->abcLower_[i];
fullProblem->abcUpper_[i] = subProblem->abcUpper_[i];
fullProblem->abcCost_[i] = subProblem->abcCost_[i];
fullProblem->abcDj_[i] = subProblem->abcDj_[i];
fullProblem->abcSolution_[i] = subProblem->abcSolution_[i];
fullProblem->abcPerturbation_[i] = subProblem->abcPerturbation_[i];
fullProblem->internalStatusSaved_[i] = subProblem->internalStatusSaved_[i];
fullProblem->perturbationSaved_[i] = subProblem->perturbationSaved_[i];
fullProblem->lowerSaved_[i] = subProblem->lowerSaved_[i];
fullProblem->upperSaved_[i] = subProblem->upperSaved_[i];
fullProblem->costSaved_[i] = subProblem->costSaved_[i];
fullProblem->djSaved_[i] = subProblem->djSaved_[i];
fullProblem->solutionSaved_[i] = subProblem->solutionSaved_[i];
fullProblem->offset_[i] = subProblem->offset_[i];
fullProblem->lowerBasic_[i] = subProblem->lowerBasic_[i];
fullProblem->upperBasic_[i] = subProblem->upperBasic_[i];
fullProblem->costBasic_[i] = subProblem->costBasic_[i];
fullProblem->solutionBasic_[i] = subProblem->solutionBasic_[i];
fullProblem->djBasic_[i] = subProblem->djBasic_[i];
}
int numberColumns = subProblem->numberColumns_;
for (int i = 0; i < numberColumns; i++) {
int k = whichColumn[i];
fullProblem->internalStatus_[maximumAbcNumberRows_ + k] = subProblem->internalStatus_[maximumAbcNumberRows_ + i];
fullProblem->abcLower_[maximumAbcNumberRows_ + k] = subProblem->abcLower_[maximumAbcNumberRows_ + i];
fullProblem->abcUpper_[maximumAbcNumberRows_ + k] = subProblem->abcUpper_[maximumAbcNumberRows_ + i];
fullProblem->abcCost_[maximumAbcNumberRows_ + k] = subProblem->abcCost_[maximumAbcNumberRows_ + i];
fullProblem->abcDj_[maximumAbcNumberRows_ + k] = subProblem->abcDj_[maximumAbcNumberRows_ + i];
fullProblem->abcSolution_[maximumAbcNumberRows_ + k] = subProblem->abcSolution_[maximumAbcNumberRows_ + i];
fullProblem->abcPerturbation_[maximumAbcNumberRows_ + k] = subProblem->abcPerturbation_[maximumAbcNumberRows_ + i];
fullProblem->internalStatusSaved_[maximumAbcNumberRows_ + k] = subProblem->internalStatusSaved_[maximumAbcNumberRows_ + i];
fullProblem->perturbationSaved_[maximumAbcNumberRows_ + k] = subProblem->perturbationSaved_[maximumAbcNumberRows_ + i];
fullProblem->lowerSaved_[maximumAbcNumberRows_ + k] = subProblem->lowerSaved_[maximumAbcNumberRows_ + i];
fullProblem->upperSaved_[maximumAbcNumberRows_ + k] = subProblem->upperSaved_[maximumAbcNumberRows_ + i];
fullProblem->costSaved_[maximumAbcNumberRows_ + k] = subProblem->costSaved_[maximumAbcNumberRows_ + i];
fullProblem->djSaved_[maximumAbcNumberRows_ + k] = subProblem->djSaved_[maximumAbcNumberRows_ + i];
fullProblem->solutionSaved_[maximumAbcNumberRows_ + k] = subProblem->solutionSaved_[maximumAbcNumberRows_ + i];
fullProblem->offset_[maximumAbcNumberRows_ + k] = subProblem->offset_[maximumAbcNumberRows_ + i];
}
delete[] subProblem->internalStatus_;
delete[] subProblem->abcPerturbation_;
delete subProblem->abcMatrix_;
delete[] subProblem->abcLower_;
delete[] subProblem->abcUpper_;
delete[] subProblem->abcCost_;
delete[] subProblem->abcSolution_;
delete[] subProblem->abcDj_;
delete subProblem->abcPrimalColumnPivot_;
delete[] subProblem->scaleFromExternal_;
delete[] subProblem->offset_;
delete[] subProblem->abcPivotVariable_;
delete[] subProblem->reversePivotVariable_;
delete subProblem->abcNonLinearCost_;
numberColumns_ = fullProblem->numberColumns_;
numberTotal_ = fullProblem->numberTotal_;
maximumNumberTotal_ = fullProblem->maximumNumberTotal_;
numberTotalWithoutFixed_ = fullProblem->numberTotalWithoutFixed_;
abcPrimalColumnPivot_ = fullProblem->abcPrimalColumnPivot_;
internalStatus_ = fullProblem->internalStatus_;
abcLower_ = fullProblem->abcLower_;
abcUpper_ = fullProblem->abcUpper_;
abcCost_ = fullProblem->abcCost_;
abcDj_ = fullProblem->abcDj_;
abcSolution_ = fullProblem->abcSolution_;
scaleFromExternal_ = fullProblem->scaleFromExternal_;
offset_ = fullProblem->offset_;
abcPerturbation_ = fullProblem->abcPerturbation_;
abcPivotVariable_ = fullProblem->abcPivotVariable_;
abcMatrix_ = fullProblem->abcMatrix_;
setupPointers(maximumAbcNumberRows_, numberColumns);
// ? redo nonlinearcost
abcNonLinearCost_ = fullProblem->abcNonLinearCost_;
abcNonLinearCost_->refresh();
delete[] reinterpret_cast< char * >(fullProblem);
}
#endif
/* Sets dual values pass djs using unscaled duals
type 1 - values pass
type 2 - just use as infeasibility weights
type 3 - as 2 but crash
*/
void AbcSimplex::setupDualValuesPass(const double *fakeDuals,
const double *fakePrimals,
int type)
{
// allslack basis
memset(internalStatus_, 6, numberRows_);
// temp
if (type == 1) {
bool allEqual = true;
for (int i = 0; i < numberRows_; i++) {
if (rowUpper_[i] > rowLower_[i]) {
allEqual = false;
break;
}
}
if (allEqual) {
// just modify costs
transposeTimes(-1.0, fakeDuals, objective());
return;
}
}
// compute unscaled djs
CoinAbcMemcpy(djSaved_ + maximumAbcNumberRows_, objective(), numberColumns_);
matrix_->transposeTimes(-1.0, fakeDuals, djSaved_ + maximumAbcNumberRows_);
// save fake solution
assert(solution_);
//solution_ = new double[numberTotal_];
CoinAbcMemset0(solution_, numberRows_);
CoinAbcMemcpy(solution_ + maximumAbcNumberRows_, fakePrimals, numberColumns_);
// adjust
for (int iSequence = maximumAbcNumberRows_; iSequence < numberTotal_; iSequence++)
solution_[iSequence] -= offset_[iSequence];
matrix_->times(-1.0, solution_ + maximumAbcNumberRows_, solution_);
double direction = optimizationDirection_;
const double *COIN_RESTRICT rowScale = scaleFromExternal_;
const double *COIN_RESTRICT inverseRowScale = scaleToExternal_;
for (int iRow = 0; iRow < numberRows_; iRow++) {
djSaved_[iRow] = direction * fakeDuals[iRow] * inverseRowScale[iRow];
solution_[iRow] *= rowScale[iRow];
}
const double *COIN_RESTRICT columnScale = scaleToExternal_;
for (int iColumn = maximumAbcNumberRows_; iColumn < numberTotal_; iColumn++)
djSaved_[iColumn] *= direction * columnScale[iColumn];
// Set solution values
const double *lower = abcLower_ + maximumAbcNumberRows_;
const double *upper = abcUpper_ + maximumAbcNumberRows_;
double *solution = abcSolution_ + maximumAbcNumberRows_;
const double *djs = djSaved_ + maximumAbcNumberRows_;
const double *inverseColumnScale = scaleFromExternal_ + maximumAbcNumberRows_;
for (int iColumn = 0; iColumn < numberColumns_; iColumn++) {
double thisValue = fakePrimals[iColumn];
double thisLower = columnLower_[iColumn];
double thisUpper = columnUpper_[iColumn];
double thisDj = djs[iColumn];
solution_[iColumn + maximumAbcNumberRows_] = solution_[iColumn + maximumAbcNumberRows_] * inverseColumnScale[iColumn];
if (thisLower > -1.0e30) {
if (thisUpper < 1.0e30) {
double gapUp = thisUpper - thisValue;
double gapDown = thisValue - thisLower;
bool goUp;
if (gapUp > gapDown && thisDj > -dualTolerance_) {
goUp = false;
} else if (gapUp < gapDown && thisDj < dualTolerance_) {
goUp = true;
} else {
// wild guess
double badUp;
double badDown;
if (gapUp > gapDown) {
badUp = gapUp * dualTolerance_;
badDown = -gapDown * thisDj;
} else {
badUp = gapUp * thisDj;
badDown = gapDown * dualTolerance_;
}
goUp = badDown > badUp;
}
if (goUp) {
solution[iColumn] = upper[iColumn];
setInternalStatus(iColumn + maximumAbcNumberRows_, atUpperBound);
setStatus(iColumn, ClpSimplex::atUpperBound);
} else {
solution[iColumn] = lower[iColumn];
setInternalStatus(iColumn + maximumAbcNumberRows_, atLowerBound);
setStatus(iColumn, ClpSimplex::atLowerBound);
}
} else {
solution[iColumn] = lower[iColumn];
setInternalStatus(iColumn + maximumAbcNumberRows_, atLowerBound);
setStatus(iColumn, ClpSimplex::atLowerBound);
}
} else if (thisUpper < 1.0e30) {
solution[iColumn] = upper[iColumn];
setInternalStatus(iColumn + maximumAbcNumberRows_, atUpperBound);
setStatus(iColumn, ClpSimplex::atUpperBound);
} else {
// free
solution[iColumn] = thisValue * inverseColumnScale[iColumn];
setInternalStatus(iColumn + maximumAbcNumberRows_, isFree);
setStatus(iColumn, ClpSimplex::isFree);
}
}
switch (type) {
case 1:
stateOfProblem_ |= VALUES_PASS;
break;
case 2:
stateOfProblem_ |= VALUES_PASS2;
delete[] solution_;
solution_ = NULL;
break;
case 3:
stateOfProblem_ |= VALUES_PASS2;
break;
}
}
//#############################################################################
int AbcSimplex::computePrimals(CoinIndexedVector *arrayVector, CoinIndexedVector *previousVector)
{
arrayVector->clear();
previousVector->clear();
// accumulate non basic stuff
double *COIN_RESTRICT array = arrayVector->denseVector();
CoinAbcScatterZeroTo(abcSolution_, abcPivotVariable_, numberRows_);
abcMatrix_->timesIncludingSlacks(-1.0, abcSolution_, array);
#if 0
static int xxxxxx=0;
if (xxxxxx==0)
for (int i=0;i<numberRows_;i++)
printf("%d %.18g\n",i,array[i]);
#endif
//arrayVector->scan(0,numberRows_,zeroTolerance_);
// Ftran adjusted RHS and iterate to improve accuracy
double lastError = COIN_DBL_MAX;
CoinIndexedVector *thisVector = arrayVector;
CoinIndexedVector *lastVector = previousVector;
//if (arrayVector->getNumElements())
#if 0
double largest=0.0;
int iLargest=-1;
for (int i=0;i<numberRows_;i++) {
if (fabs(array[i])>largest) {
largest=array[i];
iLargest=i;
}
}
printf("largest %g at row %d\n",array[iLargest],iLargest);
#endif
abcFactorization_->updateFullColumn(*thisVector);
#if 0
largest=0.0;
iLargest=-1;
for (int i=0;i<numberRows_;i++) {
if (fabs(array[i])>largest) {
largest=array[i];
iLargest=i;
}
}
printf("after largest %g at row %d\n",array[iLargest],iLargest);
#endif
#if 0
if (xxxxxx==0)
for (int i=0;i<numberRows_;i++)
printf("xx %d %.19g\n",i,array[i]);
if (numberIterations_>300)
exit(0);
#endif
int numberRefinements = 0;
for (int iRefine = 0; iRefine < numberRefinements_ + 1; iRefine++) {
int numberIn = thisVector->getNumElements();
const int *COIN_RESTRICT indexIn = thisVector->getIndices();
const double *COIN_RESTRICT arrayIn = thisVector->denseVector();
CoinAbcScatterToList(arrayIn, abcSolution_, indexIn, abcPivotVariable_, numberIn);
// check Ax == b (for all)
abcMatrix_->timesIncludingSlacks(-1.0, abcSolution_, solutionBasic_);
#if 0
if (xxxxxx==0)
for (int i=0;i<numberTotal_;i++)
printf("sol %d %.19g\n",i,abcSolution_[i]);
if (xxxxxx==0)
for (int i=0;i<numberRows_;i++)
printf("basic %d %.19g\n",i,solutionBasic_[i]);
#endif
double multiplier = 131072.0;
largestPrimalError_ = CoinAbcMaximumAbsElementAndScale(solutionBasic_, multiplier, numberRows_);
double maxValue = 0.0;
for (int i = 0; i < numberRows_; i++) {
double value = fabs(solutionBasic_[i]);
if (value > maxValue) {
#if 0
if (xxxxxx==0)
printf("larger %.19gg at row %d\n",value,i);
maxValue=value;
#endif
}
}
if (largestPrimalError_ >= lastError) {
// restore
CoinIndexedVector *temp = thisVector;
thisVector = lastVector;
lastVector = temp;
//goodSolution = false;
break;
}
if (iRefine < numberRefinements_ && largestPrimalError_ > 1.0e-10) {
// try and make better
numberRefinements++;
// save this
CoinIndexedVector *temp = thisVector;
thisVector = lastVector;
lastVector = temp;
int *COIN_RESTRICT indexOut = thisVector->getIndices();
int number = 0;
array = thisVector->denseVector();
thisVector->clear();
for (int iRow = 0; iRow < numberRows_; iRow++) {
double value = solutionBasic_[iRow];
if (value) {
array[iRow] = value;
indexOut[number++] = iRow;
solutionBasic_[iRow] = 0.0;
}
}
thisVector->setNumElements(number);
lastError = largestPrimalError_;
abcFactorization_->updateFullColumn(*thisVector);
double *previous = lastVector->denseVector();
number = 0;
multiplier = 1.0 / multiplier;
for (int iRow = 0; iRow < numberRows_; iRow++) {
double value = previous[iRow] + multiplier * array[iRow];
if (value) {
array[iRow] = value;
indexOut[number++] = iRow;
} else {
array[iRow] = 0.0;
}
}
thisVector->setNumElements(number);
} else {
break;
}
}
// solution as accurate as we are going to get
//if (!goodSolution) {
CoinAbcMemcpy(solutionBasic_, thisVector->denseVector(), numberRows_);
CoinAbcScatterTo(solutionBasic_, abcSolution_, abcPivotVariable_, numberRows_);
arrayVector->clear();
previousVector->clear();
return numberRefinements;
}
// Moves basic stuff to basic area
void AbcSimplex::moveToBasic(int which)
{
if ((which & 1) != 0)
CoinAbcGatherFrom(abcSolution_, solutionBasic_, abcPivotVariable_, numberRows_);
if ((which & 2) != 0)
CoinAbcGatherFrom(abcCost_, costBasic_, abcPivotVariable_, numberRows_);
if ((which & 4) != 0)
CoinAbcGatherFrom(abcLower_, lowerBasic_, abcPivotVariable_, numberRows_);
if ((which & 8) != 0)
CoinAbcGatherFrom(abcUpper_, upperBasic_, abcPivotVariable_, numberRows_);
}
// now dual side
int AbcSimplex::computeDuals(double *givenDjs, CoinIndexedVector *arrayVector, CoinIndexedVector *previousVector)
{
double *COIN_RESTRICT array = arrayVector->denseVector();
int *COIN_RESTRICT index = arrayVector->getIndices();
int number = 0;