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[/] [openrisc/] [trunk/] [gnu-dev/] [or1k-gcc/] [gcc/] [testsuite/] [g++.dg/] [torture/] [pr36826.C] - Rev 693
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template <class T> T CoinMax(register const T x1, register const T x2);
template <class T> T CoinMin(register const T x1, register const T x2);
class CoinIndexedVector;
class ClpModel {
protected:
double objectiveScale_;
double rhsScale_;
int numberRows_;
int numberColumns_;
double * rowActivity_;
double * columnActivity_;
double * dual_;
double * reducedCost_;
double* rowLower_;
double* rowUpper_;
double * rowObjective_;
double * columnLower_;
double * columnUpper_;
double * rowScale_;
double * columnScale_;
double * inverseRowScale_;
double * inverseColumnScale_;
int problemStatus_;
int secondaryStatus_;
};
class ClpSimplex : public ClpModel {
void deleteRim(int getRidOfFactorizationData=2);
double upperOut_;
double dualTolerance_;
double primalTolerance_;
double * rowLowerWork_;
double * columnLowerWork_;
double * rowUpperWork_;
double * columnUpperWork_;
double * rowObjectiveWork_;
CoinIndexedVector * columnArray_[6];
double * reducedCostWork_;
double * rowActivityWork_;
double * columnActivityWork_;
ClpSimplex * auxiliaryModel_;
};
class CoinIndexedVector {
public:
void clear();
};
void ClpSimplex::deleteRim(int getRidOfFactorizationData)
{
int numberRows=numberRows_;
int numberColumns=numberColumns_;
int i;
int numberPrimalScaled=0;
int numberPrimalUnscaled=0;
int numberDualScaled=0;
int numberDualUnscaled=0;
double scaleC = 1.0/objectiveScale_;
double scaleR = 1.0/rhsScale_;
if (!inverseColumnScale_) {
for (i=0; i<numberColumns; i++)
{
double scaleFactor = columnScale_[i];
double valueScaled = columnActivityWork_[i];
double lowerScaled = columnLowerWork_[i];
double upperScaled = columnUpperWork_[i];
if (lowerScaled>-1.0e20||upperScaled<1.0e20) {
if (valueScaled<lowerScaled-primalTolerance_|| valueScaled>upperScaled+primalTolerance_)
numberPrimalScaled++;
else
upperOut_ = CoinMax(upperOut_,CoinMin(valueScaled-lowerScaled,upperScaled-valueScaled));
}
columnActivity_[i] = valueScaled*scaleFactor*scaleR;
double value = columnActivity_[i];
if (value<columnLower_[i]-primalTolerance_)
numberPrimalUnscaled++;
else if (value>columnUpper_[i]+primalTolerance_)
numberPrimalUnscaled++;
double valueScaledDual = reducedCostWork_[i];
if (valueScaled>columnLowerWork_[i]+primalTolerance_&&valueScaledDual>dualTolerance_)
numberDualScaled++;
if (valueScaled<columnUpperWork_[i]-primalTolerance_&&valueScaledDual<-dualTolerance_)
numberDualScaled++;
reducedCost_[i] = (valueScaledDual*scaleC)/scaleFactor;
double valueDual = reducedCost_[i];
if (value>columnLower_[i]+primalTolerance_&&valueDual>dualTolerance_)
numberDualUnscaled++;
if (value<columnUpper_[i]-primalTolerance_&&valueDual<-dualTolerance_)
numberDualUnscaled++;
}
for (i=0; i<numberRows; i++)
{
double scaleFactor = rowScale_[i];
double valueScaled = rowActivityWork_[i];
double lowerScaled = rowLowerWork_[i];
double upperScaled = rowUpperWork_[i];
if (lowerScaled>-1.0e20||upperScaled<1.0e20) { if (valueScaled<lowerScaled-primalTolerance_|| valueScaled>upperScaled+primalTolerance_) numberPrimalScaled++; else upperOut_ = CoinMax(upperOut_,CoinMin(valueScaled-lowerScaled,upperScaled-valueScaled)); }
rowActivity_[i] = (valueScaled*scaleR)/scaleFactor;
double value = rowActivity_[i];
if (value<rowLower_[i]-primalTolerance_) numberPrimalUnscaled++;
else if (value>rowUpper_[i]+primalTolerance_) numberPrimalUnscaled++;
double valueScaledDual = dual_[i]+rowObjectiveWork_[i];
;
if (valueScaled>rowLowerWork_[i]+primalTolerance_&&valueScaledDual>dualTolerance_) numberDualScaled++;
if (valueScaled<rowUpperWork_[i]-primalTolerance_&&valueScaledDual<-dualTolerance_) numberDualScaled++;
dual_[i] *= scaleFactor*scaleC;
double valueDual = dual_[i];
if (rowObjective_) valueDual += rowObjective_[i];
if (value>rowLower_[i]+primalTolerance_&&valueDual>dualTolerance_) numberDualUnscaled++;
if (value<rowUpper_[i]-primalTolerance_&&valueDual<-dualTolerance_) numberDualUnscaled++;
}
}
const double * inverseScale = inverseColumnScale_;
for (i=0; i<numberColumns; i++)
{
double scaleFactor = columnScale_[i];
double valueScaled = columnActivityWork_[i];
double lowerScaled = columnLowerWork_[i];
double upperScaled = columnUpperWork_[i];
if (lowerScaled>-1.0e20||upperScaled<1.0e20) { if (valueScaled<lowerScaled-primalTolerance_|| valueScaled>upperScaled+primalTolerance_) numberPrimalScaled++; else upperOut_ = CoinMax(upperOut_,CoinMin(valueScaled-lowerScaled,upperScaled-valueScaled)); }
columnActivity_[i] = valueScaled*scaleFactor*scaleR;
double value = columnActivity_[i];
if (value<columnLower_[i]-primalTolerance_) numberPrimalUnscaled++;
else if (value>columnUpper_[i]+primalTolerance_) numberPrimalUnscaled++;
double valueScaledDual = reducedCostWork_[i];
if (valueScaled>columnLowerWork_[i]+primalTolerance_&&valueScaledDual>dualTolerance_) numberDualScaled++;
if (valueScaled<columnUpperWork_[i]-primalTolerance_&&valueScaledDual<-dualTolerance_) numberDualScaled++;
reducedCost_[i] = (valueScaledDual*scaleC)*inverseScale[i];
double valueDual = reducedCost_[i];
if (value>columnLower_[i]+primalTolerance_&&valueDual>dualTolerance_) numberDualUnscaled++;
if (value<columnUpper_[i]-primalTolerance_&&valueDual<-dualTolerance_) numberDualUnscaled++;
}
inverseScale = inverseRowScale_;
for (i=0; i<numberRows; i++)
{
double scaleFactor = rowScale_[i];
double valueScaled = rowActivityWork_[i];
double lowerScaled = rowLowerWork_[i];
double upperScaled = rowUpperWork_[i];
if (lowerScaled>-1.0e20||upperScaled<1.0e20) { if (valueScaled<lowerScaled-primalTolerance_|| valueScaled>upperScaled+primalTolerance_) numberPrimalScaled++; else upperOut_ = CoinMax(upperOut_,CoinMin(valueScaled-lowerScaled,upperScaled-valueScaled)); }
rowActivity_[i] = (valueScaled*scaleR)*inverseScale[i];
double value = rowActivity_[i];
if (value<rowLower_[i]-primalTolerance_) numberPrimalUnscaled++;
else if (value>rowUpper_[i]+primalTolerance_) numberPrimalUnscaled++;
double valueScaledDual = dual_[i]+rowObjectiveWork_[i];
;
if (valueScaled>rowLowerWork_[i]+primalTolerance_&&valueScaledDual>dualTolerance_) numberDualScaled++;
if (valueScaled<rowUpperWork_[i]-primalTolerance_&&valueScaledDual<-dualTolerance_) numberDualScaled++;
dual_[i] *= scaleFactor*scaleC;
double valueDual = dual_[i];
if (rowObjective_) valueDual += rowObjective_[i];
if (value>rowLower_[i]+primalTolerance_&&valueDual>dualTolerance_) numberDualUnscaled++;
if (value<rowUpper_[i]-primalTolerance_&&valueDual<-dualTolerance_) numberDualUnscaled++;
}
if (numberPrimalUnscaled) {
if (numberDualUnscaled)
secondaryStatus_=4;
else
secondaryStatus_=2;
}
if (numberDualUnscaled)
secondaryStatus_=3;
int iRow,iColumn;
for (iRow=0; iRow<4; iRow++)
;
for (iColumn=0; iColumn<2; iColumn++)
if (columnArray_[iColumn])
columnArray_[iColumn]->clear();
}