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ClpModel.cpp
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ClpModel.cpp
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// copyright (C) 2002, International Business Machines
// Corporation and others. All Rights Reserved.
// This code is licensed under the terms of the Eclipse Public License (EPL).
#include <cstdlib>
#include <cmath>
#include <cassert>
#include <cfloat>
#include <string>
#include <cstdio>
#include <iostream>
/*
CLP_NO_VECTOR
There's no hint of the motivation for this, so here's a bit of speculation.
CLP_NO_VECTOR excises CoinPackedVector from the code. Looking over
affected code here, and the much more numerous occurrences of affected
code in CoinUtils, it looks to be an efficiency issue.
One good example is CoinPackedMatrix.isEquivalent. The default version
tests equivalence of major dimension vectors by retrieving them as
CPVs and invoking CPV.isEquivalent. As pointed out in the documention,
CPV.isEquivalent implicitly sorts the nonzeros of each vector (insertion in
a map) prior to comparison. As a one-off, this is arguably more efficient
than allocating and clearing a full vector, then dropping in the nonzeros,
then checking against the second vector (in fact, this is the algorithm
for testing a packed vector against a full vector).
In CPM.isEquivalent, we have a whole sequence of vectors to compare. Better
to allocate a full vector sized to match, clear it (one time cost), then
edit nonzeros in and out while doing comparisons. The cost of allocating
and clearing the full vector is amortised over all columns.
*/
#include "CoinPragma.hpp"
#include "CoinHelperFunctions.hpp"
#include "CoinTime.hpp"
#include "ClpModel.hpp"
#include "ClpSimplex.hpp"
#include "ClpEventHandler.hpp"
#include "ClpPackedMatrix.hpp"
#ifndef SLIM_CLP
#include "ClpPlusMinusOneMatrix.hpp"
#endif
#ifndef CLP_NO_VECTOR
#include "CoinPackedVector.hpp"
#endif
#include "CoinIndexedVector.hpp"
#if SLIM_CLP == 2
#define SLIM_NOIO
#endif
#ifndef SLIM_NOIO
#include "CoinMpsIO.hpp"
#include "CoinFileIO.hpp"
#include "CoinModel.hpp"
#endif
#include "ClpMessage.hpp"
#include "CoinMessage.hpp"
#include "ClpLinearObjective.hpp"
#ifndef SLIM_CLP
#include "ClpQuadraticObjective.hpp"
#include "CoinBuild.hpp"
#endif
//#############################################################################
ClpModel::ClpModel(bool emptyMessages)
:
optimizationDirection_(1)
, objectiveValue_(0.0)
, smallElement_(1.0e-20)
, objectiveScale_(1.0)
, rhsScale_(1.0)
, numberRows_(0)
, numberColumns_(0)
, rowActivity_(NULL)
, columnActivity_(NULL)
, dual_(NULL)
, reducedCost_(NULL)
, rowLower_(NULL)
, rowUpper_(NULL)
, objective_(NULL)
, rowObjective_(NULL)
, columnLower_(NULL)
, columnUpper_(NULL)
, matrix_(NULL)
, rowCopy_(NULL)
, scaledMatrix_(NULL)
, ray_(NULL)
, rowScale_(NULL)
, columnScale_(NULL)
, inverseRowScale_(NULL)
, inverseColumnScale_(NULL)
, scalingFlag_(3)
, status_(NULL)
, integerType_(NULL)
, userPointer_(NULL)
, trustedUserPointer_(NULL)
, numberIterations_(0)
, solveType_(0)
, whatsChanged_(0)
, problemStatus_(-1)
, secondaryStatus_(0)
, lengthNames_(0)
, numberThreads_(0)
, specialOptions_(0)
,
#ifndef CLP_NO_STD
defaultHandler_(true)
, rowNames_()
, columnNames_()
,
#else
defaultHandler_(true)
,
#endif
maximumColumns_(-1)
, maximumRows_(-1)
, maximumInternalColumns_(-1)
, maximumInternalRows_(-1)
, savedRowScale_(NULL)
, savedColumnScale_(NULL)
{
intParam_[ClpMaxNumIteration] = 2147483647;
intParam_[ClpMaxNumIterationHotStart] = 9999999;
intParam_[ClpNameDiscipline] = 1;
dblParam_[ClpDualObjectiveLimit] = COIN_DBL_MAX;
dblParam_[ClpPrimalObjectiveLimit] = COIN_DBL_MAX;
dblParam_[ClpDualTolerance] = 1e-6;
dblParam_[ClpPrimalTolerance] = 1e-6;
dblParam_[ClpObjOffset] = 0.0;
dblParam_[ClpMaxSeconds] = -1.0;
dblParam_[ClpMaxWallSeconds] = -1.0;
dblParam_[ClpPresolveTolerance] = 1.0e-8;
#ifndef CLP_NO_STD
strParam_[ClpProbName] = "ClpDefaultName";
#endif
handler_ = new CoinMessageHandler();
handler_->setLogLevel(1);
eventHandler_ = new ClpEventHandler();
if (!emptyMessages) {
messages_ = ClpMessage();
coinMessages_ = CoinMessage();
}
randomNumberGenerator_.setSeed(1234567);
}
//-----------------------------------------------------------------------------
ClpModel::~ClpModel()
{
if (defaultHandler_) {
delete handler_;
handler_ = NULL;
}
gutsOfDelete(0);
}
// Does most of deletion (0 = all, 1 = most)
void ClpModel::gutsOfDelete(int type)
{
if (!type || !permanentArrays()) {
maximumRows_ = -1;
maximumColumns_ = -1;
delete[] rowActivity_;
rowActivity_ = NULL;
delete[] columnActivity_;
columnActivity_ = NULL;
delete[] dual_;
dual_ = NULL;
delete[] reducedCost_;
reducedCost_ = NULL;
delete[] rowLower_;
delete[] rowUpper_;
delete[] rowObjective_;
rowLower_ = NULL;
rowUpper_ = NULL;
rowObjective_ = NULL;
delete[] columnLower_;
delete[] columnUpper_;
delete objective_;
columnLower_ = NULL;
columnUpper_ = NULL;
objective_ = NULL;
delete[] savedRowScale_;
if (rowScale_ == savedRowScale_)
rowScale_ = NULL;
savedRowScale_ = NULL;
delete[] savedColumnScale_;
if (columnScale_ == savedColumnScale_)
columnScale_ = NULL;
savedColumnScale_ = NULL;
delete[] rowScale_;
rowScale_ = NULL;
delete[] columnScale_;
columnScale_ = NULL;
delete[] integerType_;
integerType_ = NULL;
delete[] status_;
status_ = NULL;
delete eventHandler_;
eventHandler_ = NULL;
}
whatsChanged_ = 0;
delete matrix_;
matrix_ = NULL;
delete rowCopy_;
rowCopy_ = NULL;
delete scaledMatrix_;
scaledMatrix_ = NULL,
delete[] ray_;
ray_ = NULL;
specialOptions_ = 0;
}
void ClpModel::setRowScale(double *scale)
{
if (!savedRowScale_) {
delete[] reinterpret_cast< double * >(rowScale_);
rowScale_ = scale;
} else {
assert(!scale);
rowScale_ = NULL;
}
}
void ClpModel::setColumnScale(double *scale)
{
if (!savedColumnScale_) {
delete[] reinterpret_cast< double * >(columnScale_);
columnScale_ = scale;
} else {
assert(!scale);
columnScale_ = NULL;
}
}
//#############################################################################
void ClpModel::setPrimalTolerance(double value)
{
if (value > 0.0 && value < 1.0e10)
dblParam_[ClpPrimalTolerance] = value;
}
void ClpModel::setDualTolerance(double value)
{
if (value > 0.0 && value < 1.0e10)
dblParam_[ClpDualTolerance] = value;
}
void ClpModel::setOptimizationDirection(double value)
{
optimizationDirection_ = value;
}
void ClpModel::gutsOfLoadModel(int numberRows, int numberColumns,
const double *collb, const double *colub,
const double *obj,
const double *rowlb, const double *rowub,
const double *rowObjective)
{
// save event handler in case already set
ClpEventHandler *handler = eventHandler_->clone();
// Save specialOptions
int saveOptions = specialOptions_;
gutsOfDelete(0);
specialOptions_ = saveOptions;
eventHandler_ = handler;
numberRows_ = numberRows;
numberColumns_ = numberColumns;
rowActivity_ = new double[numberRows_];
columnActivity_ = new double[numberColumns_];
dual_ = new double[numberRows_];
reducedCost_ = new double[numberColumns_];
CoinZeroN(dual_, numberRows_);
CoinZeroN(reducedCost_, numberColumns_);
int iRow, iColumn;
rowLower_ = ClpCopyOfArray(rowlb, numberRows_, -COIN_DBL_MAX);
rowUpper_ = ClpCopyOfArray(rowub, numberRows_, COIN_DBL_MAX);
double *objective = ClpCopyOfArray(obj, numberColumns_, 0.0);
objective_ = new ClpLinearObjective(objective, numberColumns_);
delete[] objective;
rowObjective_ = ClpCopyOfArray(rowObjective, numberRows_);
columnLower_ = ClpCopyOfArray(collb, numberColumns_, 0.0);
columnUpper_ = ClpCopyOfArray(colub, numberColumns_, COIN_DBL_MAX);
// set default solution and clean bounds
for (iRow = 0; iRow < numberRows_; iRow++) {
if (rowLower_[iRow] > 0.0) {
rowActivity_[iRow] = rowLower_[iRow];
} else if (rowUpper_[iRow] < 0.0) {
rowActivity_[iRow] = rowUpper_[iRow];
} else {
rowActivity_[iRow] = 0.0;
}
if (rowLower_[iRow] < -1.0e27)
rowLower_[iRow] = -COIN_DBL_MAX;
if (rowUpper_[iRow] > 1.0e27)
rowUpper_[iRow] = COIN_DBL_MAX;
}
for (iColumn = 0; iColumn < numberColumns_; iColumn++) {
if (columnLower_[iColumn] > 0.0) {
columnActivity_[iColumn] = columnLower_[iColumn];
} else if (columnUpper_[iColumn] < 0.0) {
columnActivity_[iColumn] = columnUpper_[iColumn];
} else {
columnActivity_[iColumn] = 0.0;
}
if (columnLower_[iColumn] < -1.0e27)
columnLower_[iColumn] = -COIN_DBL_MAX;
if (columnUpper_[iColumn] > 1.0e27)
columnUpper_[iColumn] = COIN_DBL_MAX;
}
}
// This just loads up a row objective
void ClpModel::setRowObjective(const double *rowObjective)
{
delete[] rowObjective_;
rowObjective_ = ClpCopyOfArray(rowObjective, numberRows_);
whatsChanged_ = 0;
}
void ClpModel::loadProblem(const ClpMatrixBase &matrix,
const double *collb, const double *colub,
const double *obj,
const double *rowlb, const double *rowub,
const double *rowObjective)
{
gutsOfLoadModel(matrix.getNumRows(), matrix.getNumCols(),
collb, colub, obj, rowlb, rowub, rowObjective);
if (matrix.isColOrdered()) {
matrix_ = matrix.clone();
} else {
// later may want to keep as unknown class
CoinPackedMatrix matrix2;
matrix2.setExtraGap(0.0);
matrix2.setExtraMajor(0.0);
matrix2.reverseOrderedCopyOf(*matrix.getPackedMatrix());
matrix.releasePackedMatrix();
matrix_ = new ClpPackedMatrix(matrix2);
}
matrix_->setDimensions(numberRows_, numberColumns_);
}
void ClpModel::loadProblem(const CoinPackedMatrix &matrix,
const double *collb, const double *colub,
const double *obj,
const double *rowlb, const double *rowub,
const double *rowObjective)
{
ClpPackedMatrix *clpMatrix = dynamic_cast< ClpPackedMatrix * >(matrix_);
bool special = (clpMatrix) ? clpMatrix->wantsSpecialColumnCopy() : false;
gutsOfLoadModel(matrix.getNumRows(), matrix.getNumCols(),
collb, colub, obj, rowlb, rowub, rowObjective);
if (matrix.isColOrdered()) {
matrix_ = new ClpPackedMatrix(matrix);
if (special) {
clpMatrix = static_cast< ClpPackedMatrix * >(matrix_);
clpMatrix->makeSpecialColumnCopy();
}
} else {
CoinPackedMatrix matrix2;
matrix2.setExtraGap(0.0);
matrix2.setExtraMajor(0.0);
matrix2.reverseOrderedCopyOf(matrix);
matrix_ = new ClpPackedMatrix(matrix2);
}
matrix_->setDimensions(numberRows_, numberColumns_);
}
void ClpModel::loadProblem(
const int numcols, const int numrows,
const CoinBigIndex *start, const int *index,
const double *value,
const double *collb, const double *colub,
const double *obj,
const double *rowlb, const double *rowub,
const double *rowObjective)
{
gutsOfLoadModel(numrows, numcols,
collb, colub, obj, rowlb, rowub, rowObjective);
CoinBigIndex numberElements = start ? start[numcols] : 0;
CoinPackedMatrix matrix(true, numrows, numrows ? numcols : 0, numberElements,
value, index, start, NULL);
matrix_ = new ClpPackedMatrix(matrix);
matrix_->setDimensions(numberRows_, numberColumns_);
}
void ClpModel::loadProblem(
const int numcols, const int numrows,
const CoinBigIndex *start, const int *index,
const double *value, const int *length,
const double *collb, const double *colub,
const double *obj,
const double *rowlb, const double *rowub,
const double *rowObjective)
{
gutsOfLoadModel(numrows, numcols,
collb, colub, obj, rowlb, rowub, rowObjective);
// Compute number of elements
int numberElements = 0;
int i;
for (i = 0; i < numcols; i++)
numberElements += length[i];
CoinPackedMatrix matrix(true, numrows, numcols, numberElements,
value, index, start, length);
matrix_ = new ClpPackedMatrix(matrix);
}
#ifndef SLIM_NOIO
// This loads a model from a coinModel object - returns number of errors
int ClpModel::loadProblem(CoinModel &modelObject, bool tryPlusMinusOne)
{
if (modelObject.numberColumns() == 0 && modelObject.numberRows() == 0)
return 0;
int numberErrors = 0;
// Set arrays for normal use
double *rowLower = modelObject.rowLowerArray();
double *rowUpper = modelObject.rowUpperArray();
double *columnLower = modelObject.columnLowerArray();
double *columnUpper = modelObject.columnUpperArray();
double *objective = modelObject.objectiveArray();
int *integerType = modelObject.integerTypeArray();
double *associated = modelObject.associatedArray();
// If strings then do copies
if (modelObject.stringsExist()) {
numberErrors = modelObject.createArrays(rowLower, rowUpper, columnLower, columnUpper,
objective, integerType, associated);
}
int numberRows = modelObject.numberRows();
int numberColumns = modelObject.numberColumns();
gutsOfLoadModel(numberRows, numberColumns,
columnLower, columnUpper, objective, rowLower, rowUpper, NULL);
setObjectiveOffset(modelObject.objectiveOffset());
CoinBigIndex *startPositive = NULL;
CoinBigIndex *startNegative = NULL;
delete matrix_;
if (tryPlusMinusOne) {
startPositive = new CoinBigIndex[numberColumns + 1];
startNegative = new CoinBigIndex[numberColumns];
modelObject.countPlusMinusOne(startPositive, startNegative, associated);
if (startPositive[0] < 0) {
// no good
tryPlusMinusOne = false;
delete[] startPositive;
delete[] startNegative;
}
}
#ifndef SLIM_CLP
if (!tryPlusMinusOne) {
#endif
CoinPackedMatrix matrix;
modelObject.createPackedMatrix(matrix, associated);
matrix_ = new ClpPackedMatrix(matrix);
#ifndef SLIM_CLP
} else {
// create +-1 matrix
CoinBigIndex size = startPositive[numberColumns];
int *indices = new int[size];
modelObject.createPlusMinusOne(startPositive, startNegative, indices,
associated);
// Get good object
ClpPlusMinusOneMatrix *matrix = new ClpPlusMinusOneMatrix();
matrix->passInCopy(numberRows, numberColumns,
true, indices, startPositive, startNegative);
matrix_ = matrix;
}
#endif
#ifndef CLP_NO_STD
// Do names if wanted
int numberItems;
numberItems = modelObject.rowNames()->numberItems();
if (numberItems) {
const char *const *rowNames = modelObject.rowNames()->names();
copyRowNames(rowNames, 0, numberItems);
}
numberItems = modelObject.columnNames()->numberItems();
if (numberItems) {
const char *const *columnNames = modelObject.columnNames()->names();
copyColumnNames(columnNames, 0, numberItems);
}
#endif
// Do integers if wanted
assert(integerType);
for (int iColumn = 0; iColumn < numberColumns; iColumn++) {
if (integerType[iColumn])
setInteger(iColumn);
}
if (rowLower != modelObject.rowLowerArray() || columnLower != modelObject.columnLowerArray()) {
delete[] rowLower;
delete[] rowUpper;
delete[] columnLower;
delete[] columnUpper;
delete[] objective;
delete[] integerType;
delete[] associated;
if (numberErrors)
handler_->message(CLP_BAD_STRING_VALUES, messages_)
<< numberErrors
<< CoinMessageEol;
}
matrix_->setDimensions(numberRows_, numberColumns_);
return numberErrors;
}
#endif
void ClpModel::getRowBound(int iRow, double &lower, double &upper) const
{
lower = -COIN_DBL_MAX;
upper = COIN_DBL_MAX;
if (rowUpper_)
upper = rowUpper_[iRow];
if (rowLower_)
lower = rowLower_[iRow];
}
//------------------------------------------------------------------
#ifndef NDEBUG
// For errors to make sure print to screen
// only called in debug mode
static void indexError(int index,
std::string methodName)
{
std::cerr << "Illegal index " << index << " in ClpModel::" << methodName << std::endl;
throw CoinError("Illegal index", methodName, "ClpModel");
}
#endif
/* Set an objective function coefficient */
void ClpModel::setObjectiveCoefficient(int elementIndex, double elementValue)
{
#ifndef NDEBUG
if (elementIndex < 0 || elementIndex >= numberColumns_) {
indexError(elementIndex, "setObjectiveCoefficient");
}
#endif
objective()[elementIndex] = elementValue;
whatsChanged_ = 0; // Can't be sure (use ClpSimplex to keep)
}
/* Set a single row lower bound<br>
Use -DBL_MAX for -infinity. */
void ClpModel::setRowLower(int elementIndex, double elementValue)
{
if (elementValue < -1.0e27)
elementValue = -COIN_DBL_MAX;
rowLower_[elementIndex] = elementValue;
whatsChanged_ = 0; // Can't be sure (use ClpSimplex to keep)
}
/* Set a single row upper bound<br>
Use DBL_MAX for infinity. */
void ClpModel::setRowUpper(int elementIndex, double elementValue)
{
if (elementValue > 1.0e27)
elementValue = COIN_DBL_MAX;
rowUpper_[elementIndex] = elementValue;
whatsChanged_ = 0; // Can't be sure (use ClpSimplex to keep)
}
/* Set a single row lower and upper bound */
void ClpModel::setRowBounds(int elementIndex,
double lower, double upper)
{
if (lower < -1.0e27)
lower = -COIN_DBL_MAX;
if (upper > 1.0e27)
upper = COIN_DBL_MAX;
CoinAssert(upper >= lower);
rowLower_[elementIndex] = lower;
rowUpper_[elementIndex] = upper;
whatsChanged_ = 0; // Can't be sure (use ClpSimplex to keep)
}
void ClpModel::setRowSetBounds(const int *indexFirst,
const int *indexLast,
const double *boundList)
{
#ifndef NDEBUG
int n = numberRows_;
#endif
double *lower = rowLower_;
double *upper = rowUpper_;
whatsChanged_ = 0; // Can't be sure (use ClpSimplex to keep)
while (indexFirst != indexLast) {
const int iRow = *indexFirst++;
#ifndef NDEBUG
if (iRow < 0 || iRow >= n) {
indexError(iRow, "setRowSetBounds");
}
#endif
lower[iRow] = *boundList++;
upper[iRow] = *boundList++;
if (lower[iRow] < -1.0e27)
lower[iRow] = -COIN_DBL_MAX;
if (upper[iRow] > 1.0e27)
upper[iRow] = COIN_DBL_MAX;
CoinAssert(upper[iRow] >= lower[iRow]);
}
}
//-----------------------------------------------------------------------------
/* Set a single column lower bound<br>
Use -DBL_MAX for -infinity. */
void ClpModel::setColumnLower(int elementIndex, double elementValue)
{
#ifndef NDEBUG
int n = numberColumns_;
if (elementIndex < 0 || elementIndex >= n) {
indexError(elementIndex, "setColumnLower");
}
#endif
if (elementValue < -1.0e27)
elementValue = -COIN_DBL_MAX;
columnLower_[elementIndex] = elementValue;
whatsChanged_ = 0; // Can't be sure (use ClpSimplex to keep)
}
/* Set a single column upper bound<br>
Use DBL_MAX for infinity. */
void ClpModel::setColumnUpper(int elementIndex, double elementValue)
{
#ifndef NDEBUG
int n = numberColumns_;
if (elementIndex < 0 || elementIndex >= n) {
indexError(elementIndex, "setColumnUpper");
}
#endif
if (elementValue > 1.0e27)
elementValue = COIN_DBL_MAX;
columnUpper_[elementIndex] = elementValue;
whatsChanged_ = 0; // Can't be sure (use ClpSimplex to keep)
}
/* Set a single column lower and upper bound */
void ClpModel::setColumnBounds(int elementIndex,
double lower, double upper)
{
#ifndef NDEBUG
int n = numberColumns_;
if (elementIndex < 0 || elementIndex >= n) {
indexError(elementIndex, "setColumnBounds");
}
#endif
if (lower < -1.0e27)
lower = -COIN_DBL_MAX;
if (upper > 1.0e27)
upper = COIN_DBL_MAX;
columnLower_[elementIndex] = lower;
columnUpper_[elementIndex] = upper;
CoinAssert(upper >= lower);
whatsChanged_ = 0; // Can't be sure (use ClpSimplex to keep)
}
void ClpModel::setColumnSetBounds(const int *indexFirst,
const int *indexLast,
const double *boundList)
{
double *lower = columnLower_;
double *upper = columnUpper_;
whatsChanged_ = 0; // Can't be sure (use ClpSimplex to keep)
#ifndef NDEBUG
int n = numberColumns_;
#endif
while (indexFirst != indexLast) {
const int iColumn = *indexFirst++;
#ifndef NDEBUG
if (iColumn < 0 || iColumn >= n) {
indexError(iColumn, "setColumnSetBounds");
}
#endif
lower[iColumn] = *boundList++;
upper[iColumn] = *boundList++;
CoinAssert(upper[iColumn] >= lower[iColumn]);
if (lower[iColumn] < -1.0e27)
lower[iColumn] = -COIN_DBL_MAX;
if (upper[iColumn] > 1.0e27)
upper[iColumn] = COIN_DBL_MAX;
}
}
//-----------------------------------------------------------------------------
//#############################################################################
// Copy constructor.
ClpModel::ClpModel(const ClpModel &rhs, int scalingMode)
: optimizationDirection_(rhs.optimizationDirection_)
, numberRows_(rhs.numberRows_)
, numberColumns_(rhs.numberColumns_)
, specialOptions_(rhs.specialOptions_)
, maximumColumns_(-1)
, maximumRows_(-1)
, maximumInternalColumns_(-1)
, maximumInternalRows_(-1)
, savedRowScale_(NULL)
, savedColumnScale_(NULL)
{
gutsOfCopy(rhs);
if (scalingMode >= 0 && matrix_ && matrix_->allElementsInRange(this, smallElement_, 1.0e20)) {
// really do scaling
scalingFlag_ = scalingMode;
setRowScale(NULL);
setColumnScale(NULL);
delete rowCopy_; // in case odd
rowCopy_ = NULL;
delete scaledMatrix_;
scaledMatrix_ = NULL;
if (scalingMode && !matrix_->scale(this)) {
// scaling worked - now apply
inverseRowScale_ = rowScale_ + numberRows_;
inverseColumnScale_ = columnScale_ + numberColumns_;
gutsOfScaling();
// pretend not scaled
scalingFlag_ = -scalingFlag_;
} else {
// not scaled
scalingFlag_ = 0;
}
}
//randomNumberGenerator_.setSeed(1234567);
}
// Assignment operator. This copies the data
ClpModel &
ClpModel::operator=(const ClpModel &rhs)
{
if (this != &rhs) {
if (defaultHandler_) {
//delete handler_;
//handler_ = NULL;
}
gutsOfDelete(1);
optimizationDirection_ = rhs.optimizationDirection_;
numberRows_ = rhs.numberRows_;
numberColumns_ = rhs.numberColumns_;
gutsOfCopy(rhs, -1);
}
return *this;
}
/* Does most of copying
If trueCopy 0 then just points to arrays
If -1 leaves as much as possible */
void ClpModel::gutsOfCopy(const ClpModel &rhs, int trueCopy)
{
defaultHandler_ = rhs.defaultHandler_;
randomNumberGenerator_ = rhs.randomNumberGenerator_;
if (trueCopy >= 0) {
if (defaultHandler_)
handler_ = new CoinMessageHandler(*rhs.handler_);
else
handler_ = rhs.handler_;
eventHandler_ = rhs.eventHandler_->clone();
messages_ = rhs.messages_;
coinMessages_ = rhs.coinMessages_;
} else {
if (!eventHandler_ && rhs.eventHandler_)
eventHandler_ = rhs.eventHandler_->clone();
}
intParam_[ClpMaxNumIteration] = rhs.intParam_[ClpMaxNumIteration];
intParam_[ClpMaxNumIterationHotStart] = rhs.intParam_[ClpMaxNumIterationHotStart];
intParam_[ClpNameDiscipline] = rhs.intParam_[ClpNameDiscipline];
dblParam_[ClpDualObjectiveLimit] = rhs.dblParam_[ClpDualObjectiveLimit];
dblParam_[ClpPrimalObjectiveLimit] = rhs.dblParam_[ClpPrimalObjectiveLimit];
dblParam_[ClpDualTolerance] = rhs.dblParam_[ClpDualTolerance];
dblParam_[ClpPrimalTolerance] = rhs.dblParam_[ClpPrimalTolerance];
dblParam_[ClpObjOffset] = rhs.dblParam_[ClpObjOffset];
dblParam_[ClpMaxSeconds] = rhs.dblParam_[ClpMaxSeconds];
dblParam_[ClpMaxWallSeconds] = rhs.dblParam_[ClpMaxWallSeconds];
dblParam_[ClpPresolveTolerance] = rhs.dblParam_[ClpPresolveTolerance];
#ifndef CLP_NO_STD
strParam_[ClpProbName] = rhs.strParam_[ClpProbName];
#endif
optimizationDirection_ = rhs.optimizationDirection_;
objectiveValue_ = rhs.objectiveValue_;
smallElement_ = rhs.smallElement_;
objectiveScale_ = rhs.objectiveScale_;
rhsScale_ = rhs.rhsScale_;
numberIterations_ = rhs.numberIterations_;
solveType_ = rhs.solveType_;
whatsChanged_ = rhs.whatsChanged_;
problemStatus_ = rhs.problemStatus_;
secondaryStatus_ = rhs.secondaryStatus_;
numberRows_ = rhs.numberRows_;
numberColumns_ = rhs.numberColumns_;
userPointer_ = rhs.userPointer_;
trustedUserPointer_ = rhs.trustedUserPointer_;
scalingFlag_ = rhs.scalingFlag_;
specialOptions_ = rhs.specialOptions_;
if (trueCopy) {
#ifndef CLP_NO_STD
lengthNames_ = rhs.lengthNames_;
if (lengthNames_) {
rowNames_ = rhs.rowNames_;
columnNames_ = rhs.columnNames_;
}
#endif
numberThreads_ = rhs.numberThreads_;
if (maximumRows_ < 0) {
specialOptions_ &= ~65536;
savedRowScale_ = NULL;
savedColumnScale_ = NULL;
integerType_ = CoinCopyOfArray(rhs.integerType_, numberColumns_);
rowActivity_ = ClpCopyOfArray(rhs.rowActivity_, numberRows_);
columnActivity_ = ClpCopyOfArray(rhs.columnActivity_, numberColumns_);
dual_ = ClpCopyOfArray(rhs.dual_, numberRows_);
reducedCost_ = ClpCopyOfArray(rhs.reducedCost_, numberColumns_);
rowLower_ = ClpCopyOfArray(rhs.rowLower_, numberRows_);
rowUpper_ = ClpCopyOfArray(rhs.rowUpper_, numberRows_);
columnLower_ = ClpCopyOfArray(rhs.columnLower_, numberColumns_);
columnUpper_ = ClpCopyOfArray(rhs.columnUpper_, numberColumns_);
rowScale_ = ClpCopyOfArray(rhs.rowScale_, numberRows_ * 2);
columnScale_ = ClpCopyOfArray(rhs.columnScale_, numberColumns_ * 2);
if (rhs.objective_)
objective_ = rhs.objective_->clone();
else
objective_ = NULL;
rowObjective_ = ClpCopyOfArray(rhs.rowObjective_, numberRows_);
status_ = ClpCopyOfArray(rhs.status_, numberColumns_ + numberRows_);
ray_ = NULL;
if (problemStatus_ == 1)
ray_ = ClpCopyOfArray(rhs.ray_, numberRows_);
else if (problemStatus_ == 2)
ray_ = ClpCopyOfArray(rhs.ray_, numberColumns_);
if (rhs.rowCopy_) {
rowCopy_ = rhs.rowCopy_->clone();
} else {
rowCopy_ = NULL;
}
if (rhs.scaledMatrix_) {
scaledMatrix_ = new ClpPackedMatrix(*rhs.scaledMatrix_);
} else {
scaledMatrix_ = NULL;
}
matrix_ = NULL;
if (rhs.matrix_) {
matrix_ = rhs.matrix_->clone();
}
} else {
// This already has arrays - just copy
savedRowScale_ = NULL;
savedColumnScale_ = NULL;
startPermanentArrays();
if (rhs.integerType_) {
assert(integerType_);
ClpDisjointCopyN(rhs.integerType_, numberColumns_, integerType_);
} else {
integerType_ = NULL;
}
if (rhs.rowActivity_) {
ClpDisjointCopyN(rhs.rowActivity_, numberRows_,
rowActivity_);
ClpDisjointCopyN(rhs.columnActivity_, numberColumns_,
columnActivity_);
ClpDisjointCopyN(rhs.dual_, numberRows_,
dual_);
ClpDisjointCopyN(rhs.reducedCost_, numberColumns_,
reducedCost_);
} else {
rowActivity_ = NULL;
columnActivity_ = NULL;
dual_ = NULL;
reducedCost_ = NULL;
}
ClpDisjointCopyN(rhs.rowLower_, numberRows_, rowLower_);
ClpDisjointCopyN(rhs.rowUpper_, numberRows_, rowUpper_);
ClpDisjointCopyN(rhs.columnLower_, numberColumns_, columnLower_);
assert((specialOptions_ & 131072) == 0);
abort();
ClpDisjointCopyN(rhs.columnUpper_, numberColumns_, columnUpper_);
if (rhs.objective_) {
abort(); //check if same
objective_ = rhs.objective_->clone();
} else {
objective_ = NULL;
}
assert(!rhs.rowObjective_);
ClpDisjointCopyN(rhs.status_, numberColumns_ + numberRows_, status_);
ray_ = NULL;
if (problemStatus_ == 1)
ray_ = ClpCopyOfArray(rhs.ray_, numberRows_);
else if (problemStatus_ == 2)
ray_ = ClpCopyOfArray(rhs.ray_, numberColumns_);
assert(!ray_);
delete rowCopy_;
if (rhs.rowCopy_) {
rowCopy_ = rhs.rowCopy_->clone();
} else {
rowCopy_ = NULL;
}
delete scaledMatrix_;
if (rhs.scaledMatrix_) {
scaledMatrix_ = new ClpPackedMatrix(*rhs.scaledMatrix_);
} else {
scaledMatrix_ = NULL;
}
delete matrix_;
matrix_ = NULL;
if (rhs.matrix_) {
matrix_ = rhs.matrix_->clone();
}
if (rhs.savedRowScale_) {
assert(savedRowScale_);
assert(!rowScale_);
ClpDisjointCopyN(rhs.savedRowScale_, 4 * maximumInternalRows_, savedRowScale_);
ClpDisjointCopyN(rhs.savedColumnScale_, 4 * maximumInternalColumns_, savedColumnScale_);
} else {
assert(!savedRowScale_);
if (rowScale_) {
ClpDisjointCopyN(rhs.rowScale_, numberRows_, rowScale_);
ClpDisjointCopyN(rhs.columnScale_, numberColumns_, columnScale_);
} else {
rowScale_ = NULL;
columnScale_ = NULL;
}
}
abort(); // look at resizeDouble and resize
}
} else {
savedRowScale_ = rhs.savedRowScale_;
assert(!savedRowScale_);
savedColumnScale_ = rhs.savedColumnScale_;
rowActivity_ = rhs.rowActivity_;
columnActivity_ = rhs.columnActivity_;
dual_ = rhs.dual_;
reducedCost_ = rhs.reducedCost_;
rowLower_ = rhs.rowLower_;
rowUpper_ = rhs.rowUpper_;
objective_ = rhs.objective_;
rowObjective_ = rhs.rowObjective_;
columnLower_ = rhs.columnLower_;
columnUpper_ = rhs.columnUpper_;
matrix_ = rhs.matrix_;
rowCopy_ = NULL;
scaledMatrix_ = NULL;
ray_ = rhs.ray_;
//rowScale_ = rhs.rowScale_;
//columnScale_ = rhs.columnScale_;
lengthNames_ = 0;
numberThreads_ = rhs.numberThreads_;
#ifndef CLP_NO_STD
rowNames_ = std::vector< std::string >();
columnNames_ = std::vector< std::string >();
#endif
integerType_ = NULL;
status_ = rhs.status_;
}
inverseRowScale_ = NULL;
inverseColumnScale_ = NULL;
}
// Copy contents - resizing if necessary - otherwise re-use memory
void ClpModel::copy(const ClpMatrixBase *from, ClpMatrixBase *&to)
{
assert(from);
const ClpPackedMatrix *matrixFrom = (dynamic_cast< const ClpPackedMatrix * >(from));
ClpPackedMatrix *matrixTo = (dynamic_cast< ClpPackedMatrix * >(to));
if (matrixFrom && matrixTo) {
matrixTo->copy(matrixFrom);
} else {
delete to;
to = from->clone();
}
#if 0
delete modelPtr_->matrix_;
if (continuousModel_->matrix_) {
modelPtr_->matrix_ = continuousModel_->matrix_->clone();
} else {
modelPtr_->matrix_ = NULL;
}
#endif
}
/* Borrow model. This is so we dont have to copy large amounts
of data around. It assumes a derived class wants to overwrite
an empty model with a real one - while it does an algorithm */
void ClpModel::borrowModel(ClpModel &rhs)
{
if (defaultHandler_) {
delete handler_;
handler_ = NULL;
}
gutsOfDelete(1);
optimizationDirection_ = rhs.optimizationDirection_;
numberRows_ = rhs.numberRows_;
numberColumns_ = rhs.numberColumns_;
delete[] rhs.ray_;
rhs.ray_ = NULL;
// make sure scaled matrix not copied
ClpPackedMatrix *save = rhs.scaledMatrix_;
rhs.scaledMatrix_ = NULL;
delete scaledMatrix_;
scaledMatrix_ = NULL;
gutsOfCopy(rhs, 0);
rhs.scaledMatrix_ = save;
specialOptions_ = rhs.specialOptions_ & ~65536;
savedRowScale_ = NULL;
savedColumnScale_ = NULL;
inverseRowScale_ = NULL;
inverseColumnScale_ = NULL;
}
// Return model - nulls all arrays so can be deleted safely
void ClpModel::returnModel(ClpModel &otherModel)
{
otherModel.objectiveValue_ = objectiveValue_;
otherModel.numberIterations_ = numberIterations_;
otherModel.problemStatus_ = problemStatus_;
otherModel.secondaryStatus_ = secondaryStatus_;
rowActivity_ = NULL;
columnActivity_ = NULL;
dual_ = NULL;
reducedCost_ = NULL;
rowLower_ = NULL;
rowUpper_ = NULL;
objective_ = NULL;
rowObjective_ = NULL;
columnLower_ = NULL;