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11 #ifndef ClpSimplexOther_H
12 #define ClpSimplexOther_H
49 double *costIncrease,
int *sequenceIncrease,
50 double *costDecrease,
int *sequenceDecrease,
51 double *valueIncrease = NULL,
double *valueDecrease = NULL);
67 double *valueIncrease,
int *sequenceIncrease,
68 double *valueDecrease,
int *sequenceDecrease);
82 int parametrics(
double startingTheta,
double &endingTheta,
double reportIncrement,
83 const double *changeLowerBound,
const double *changeUpperBound,
84 const double *changeLowerRhs,
const double *changeUpperRhs,
85 const double *changeObjective);
99 int parametrics(
double startingTheta,
double &endingTheta,
100 const double *changeLowerBound,
const double *changeUpperBound,
101 const double *changeLowerRhs,
const double *changeUpperRhs);
103 const double *changeObjective);
105 double bestPivot(
bool justColumns =
false);
137 const double *changeLower,
const double *changeUpper,
141 ClpDataSave &data,
bool canSkipFactorization =
false);
143 ClpDataSave &data,
bool canSkipFactorization =
false);
164 const double *changeObjective);
170 const double *changeObjective);
175 const double *changeUpper);
187 double &costIncrease,
int &sequenceIncrease,
double &alphaIncrease,
188 double &costDecrease,
int &sequenceDecrease,
double &alphaDecrease);
214 bool writeValues =
false,
215 int formatType = 0)
const;
228 bool checkAccuracy =
false);
237 int &nBound,
bool moreBounds =
false,
bool tightenBounds =
false);
242 const int *whichRows,
const int *whichColumns,
252 const int *whichColumns);
255 const int *whichColumns)
const;
272 double *buildObj, CoinBigIndex *buildStart,
273 int *buildRow,
double *buildElement,
int reConstruct = -1)
const;
276 char *
guess(
int mode)
const;
This solves LPs using the simplex method.
double theta() const
Theta (pivot change)
double primalRanging1(int whichIn, int whichOther)
Returns new value of whichOther when whichIn enters basis.
CoinIndexedVector * rowArray(int index) const
Useful row length arrays (0,1,2,3,4,5)
CoinIndexedVector * columnArray(int index) const
Useful column length arrays (0,1,2,3,4,5)
This is a tiny class where data can be saved round calls.
void primalRanging(int numberCheck, const int *which, double *valueIncrease, int *sequenceIncrease, double *valueDecrease, int *sequenceDecrease)
Primal ranging.
double * lowerCoefficient
int whileIterating(parametricsData ¶mData, double reportIncrement, const double *changeObjective)
This has the flow between re-factorizations.
int parametricsLoop(parametricsData ¶mData, double reportIncrement, const double *changeLower, const double *changeUpper, const double *changeObjective, ClpDataSave &data, bool canTryQuick)
Parametrics - inner loop This first attempt is when reportIncrement non zero and may not report endin...
void afterCrunch(const ClpSimplex &small, const int *whichRows, const int *whichColumns, int nBound)
After very cursory presolve.
int unscaledChangesOffset
void setGubBasis(ClpSimplex &original, const int *whichRows, const int *whichColumns)
Sets basis from original.
void dualRanging(int numberCheck, const int *which, double *costIncrease, int *sequenceIncrease, double *costDecrease, int *sequenceDecrease, double *valueIncrease=NULL, double *valueDecrease=NULL)
Dual ranging.
double bestPivot(bool justColumns=false)
Finds best possible pivot.
int setInDual(ClpSimplex *dualProblem)
Sets solution in dualized problem non-zero return code indicates minor problems.
int expandKnapsack(int knapsackRow, int &numberOutput, double *buildObj, CoinBigIndex *buildStart, int *buildRow, double *buildElement, int reConstruct=-1) const
Expands out all possible combinations for a knapsack If buildObj NULL then just computes space needed...
void cleanupAfterPostsolve()
Quick try at cleaning up duals if postsolve gets wrong.
double acceptableMaxTheta
void checkPrimalRatios(CoinIndexedVector *rowArray, int direction)
Row array has pivot column This is used in primal ranging.
This is for Simplex stuff which is neither dual nor primal.
ClpSimplex * crunch(double *rhs, int *whichRows, int *whichColumns, int &nBound, bool moreBounds=false, bool tightenBounds=false)
Does very cursory presolve.
void statusOfProblemInParametricsObj(int type, ClpDataSave &saveData)
void statusOfProblemInParametrics(int type, ClpDataSave &saveData)
Refactorizes if necessary Checks if finished.
int factorizationFrequency() const
Factorization frequency.
int parametrics(double startingTheta, double &endingTheta, double reportIncrement, const double *changeLowerBound, const double *changeUpperBound, const double *changeLowerRhs, const double *changeUpperRhs, const double *changeObjective)
Parametrics This is an initial slow version.
void redoInternalArrays()
Redo lower_ from rowLower_ etc.
int parametricsObj(double startingTheta, double &endingTheta, const double *changeObjective)
int restoreFromDual(const ClpSimplex *dualProblem, bool checkAccuracy=false)
Restores solution from dualized problem non-zero return code indicates minor problems.
void getGubBasis(ClpSimplex &original, const int *whichRows, const int *whichColumns) const
Restores basis to original.
char * guess(int mode) const
Create a string of commands to guess at best strategy for model At present mode is ignored.
ClpDataSave saveData()
Save data.
ClpSimplex * gubVersion(int *whichRows, int *whichColumns, int neededGub, int factorizationFrequency=50)
Returns gub version of model or NULL whichRows has to be numberRows whichColumns has to be numberRows...
int parametricsObjLoop(parametricsData ¶mData, ClpDataSave &data, bool canSkipFactorization=false)
int nextTheta(int type, double maxTheta, parametricsData ¶mData, const double *changeObjective)
Computes next theta and says if objective or bounds (0= bounds, 1 objective, -1 none).
double computeRhsEtc(parametricsData ¶mData)
Compute new rowLower_ etc (return negative if infeasible - otherwise largest change)
int tightenIntegerBounds(double *rhsSpace)
Tightens integer bounds - returns number tightened or -1 if infeasible.
double * upperCoefficient
int nextThetaObj(double maxTheta, parametricsData ¶mData)
ClpSimplex * dualOfModel(double fractionRowRanges=1.0, double fractionColumnRanges=1.0) const
Creates dual of a problem if looks plausible (defaults will always create model) fractionRowRanges is...
int writeBasis(const char *filename, bool writeValues=false, int formatType=0) const
Write the basis in MPS format to the specified file.
int readBasis(const char *filename)
Read a basis from the given filename.
void originalBound(int iSequence, double theta, const double *changeLower, const double *changeUpper)
Restores bound to original bound.
int whileIteratingObj(parametricsData ¶mData)
void checkDualRatios(CoinIndexedVector *rowArray, CoinIndexedVector *columnArray, double &costIncrease, int &sequenceIncrease, double &alphaIncrease, double &costDecrease, int &sequenceDecrease, double &alphaDecrease)
Row array has row part of pivot row Column array has column part.