#include <ClpSimplex.hpp>
data. Many arrays have a row part and a column part. | |
There is a single array with both - columns then rows and then normally two arrays pointing to rows and columns.
The single array is the owner of memory | |
double | columnPrimalInfeasibility_ |
Worst column primal infeasibility. | |
double | rowPrimalInfeasibility_ |
Worst row primal infeasibility. | |
int | columnPrimalSequence_ |
Sequence of worst (-1 if feasible). | |
int | rowPrimalSequence_ |
Sequence of worst (-1 if feasible). | |
double | columnDualInfeasibility_ |
Worst column dual infeasibility. | |
double | rowDualInfeasibility_ |
Worst row dual infeasibility. | |
int | moreSpecialOptions_ |
More special options - see set for details. | |
int | baseIteration_ |
Iteration when we entered dual or primal. | |
double | primalToleranceToGetOptimal_ |
Primal tolerance needed to make dual feasible (<largeTolerance). | |
double | remainingDualInfeasibility_ |
Remaining largest dual infeasibility. | |
double | largeValue_ |
Large bound value (for complementarity etc). | |
double | largestPrimalError_ |
Largest error on Ax-b. | |
double | largestDualError_ |
Largest error on basic duals. | |
double | alphaAccuracy_ |
For computing whether to re-factorize. | |
double | dualBound_ |
Dual bound. | |
double | alpha_ |
Alpha (pivot element). | |
double | theta_ |
Theta (pivot change). | |
double | lowerIn_ |
Lower Bound on In variable. | |
double | valueIn_ |
Value of In variable. | |
double | upperIn_ |
Upper Bound on In variable. | |
double | dualIn_ |
Reduced cost of In variable. | |
double | lowerOut_ |
Lower Bound on Out variable. | |
double | valueOut_ |
Value of Out variable. | |
double | upperOut_ |
Upper Bound on Out variable. | |
double | dualOut_ |
Infeasibility (dual) or ? (primal) of Out variable. | |
double | dualTolerance_ |
Current dual tolerance for algorithm. | |
double | primalTolerance_ |
Current primal tolerance for algorithm. | |
double | sumDualInfeasibilities_ |
Sum of dual infeasibilities. | |
double | sumPrimalInfeasibilities_ |
Sum of primal infeasibilities. | |
double | infeasibilityCost_ |
Weight assigned to being infeasible in primal. | |
double | sumOfRelaxedDualInfeasibilities_ |
Sum of Dual infeasibilities using tolerance based on error in duals. | |
double | sumOfRelaxedPrimalInfeasibilities_ |
Sum of Primal infeasibilities using tolerance based on error in primals. | |
double | acceptablePivot_ |
Acceptable pivot value just after factorization. | |
double * | lower_ |
Working copy of lower bounds (Owner of arrays below). | |
double * | rowLowerWork_ |
Row lower bounds - working copy. | |
double * | columnLowerWork_ |
Column lower bounds - working copy. | |
double * | upper_ |
Working copy of upper bounds (Owner of arrays below). | |
double * | rowUpperWork_ |
Row upper bounds - working copy. | |
double * | columnUpperWork_ |
Column upper bounds - working copy. | |
double * | cost_ |
Working copy of objective (Owner of arrays below). | |
double * | rowObjectiveWork_ |
Row objective - working copy. | |
double * | objectiveWork_ |
Column objective - working copy. | |
CoinIndexedVector * | rowArray_ [6] |
Useful row length arrays. | |
CoinIndexedVector * | columnArray_ [6] |
Useful column length arrays. | |
int | sequenceIn_ |
Sequence of In variable. | |
int | directionIn_ |
Direction of In, 1 going up, -1 going down, 0 not a clude. | |
int | sequenceOut_ |
Sequence of Out variable. | |
int | directionOut_ |
Direction of Out, 1 to upper bound, -1 to lower bound, 0 - superbasic. | |
int | pivotRow_ |
Pivot Row. | |
int | lastGoodIteration_ |
Last good iteration (immediately after a re-factorization). | |
double * | dj_ |
Working copy of reduced costs (Owner of arrays below). | |
double * | rowReducedCost_ |
Reduced costs of slacks not same as duals (or - duals). | |
double * | reducedCostWork_ |
Possible scaled reduced costs. | |
double * | solution_ |
Working copy of primal solution (Owner of arrays below). | |
double * | rowActivityWork_ |
Row activities - working copy. | |
double * | columnActivityWork_ |
Column activities - working copy. | |
ClpSimplex * | auxiliaryModel_ |
Auxiliary model. | |
int | numberDualInfeasibilities_ |
Number of dual infeasibilities. | |
int | numberDualInfeasibilitiesWithoutFree_ |
Number of dual infeasibilities (without free). | |
int | numberPrimalInfeasibilities_ |
Number of primal infeasibilities. | |
int | numberRefinements_ |
How many iterative refinements to do. | |
ClpDualRowPivot * | dualRowPivot_ |
dual row pivot choice | |
ClpPrimalColumnPivot * | primalColumnPivot_ |
primal column pivot choice | |
int * | pivotVariable_ |
Basic variables pivoting on which rows. | |
ClpFactorization * | factorization_ |
factorization | |
double * | savedSolution_ |
Saved version of solution. | |
int | numberTimesOptimal_ |
Number of times code has tentatively thought optimal. | |
ClpDisasterHandler * | disasterArea_ |
Disaster handler. | |
int | changeMade_ |
If change has been made (first attempt at stopping looping). | |
int | algorithm_ |
Algorithm >0 == Primal, <0 == Dual. | |
int | forceFactorization_ |
Now for some reliability aids This forces re-factorization early. | |
int | perturbation_ |
Perturbation: -50 to +50 - perturb by this power of ten (-6 sounds good) 100 - auto perturb if takes too long (1.0e-6 largest nonzero) 101 - we are perturbed 102 - don't try perturbing again default is 100. | |
unsigned char * | saveStatus_ |
Saved status regions. | |
ClpNonLinearCost * | nonLinearCost_ |
Very wasteful way of dealing with infeasibilities in primal. | |
int | lastBadIteration_ |
So we know when to be cautious. | |
int | lastFlaggedIteration_ |
So we know when to open up again. | |
int | numberFake_ |
Can be used for count of fake bounds (dual) or fake costs (primal). | |
int | numberChanged_ |
Can be used for count of changed costs (dual) or changed bounds (primal). | |
int | progressFlag_ |
Progress flag - at present 0 bit says artificials out, 1 free in. | |
int | firstFree_ |
First free/super-basic variable (-1 if none). | |
int | numberExtraRows_ |
Number of extra rows. | |
int | maximumBasic_ |
Maximum number of basic variables - can be more than number of rows if GUB. | |
int | dontFactorizePivots_ |
If may skip final factorize then allow up to this pivots (default 20). | |
double | incomingInfeasibility_ |
For advanced use. | |
double | allowedInfeasibility_ |
Worst column primal infeasibility. | |
int | automaticScale_ |
Automatic scaling of objective and rhs and bounds. | |
ClpSimplex * | baseModel_ |
A copy of model with certain state - normally without cuts. | |
ClpSimplexProgress | progress_ |
For dealing with all issues of cycling etc. | |
int | spareIntArray_ [4] |
Spare int array for passing information [0]!=0 switches on. | |
double | spareDoubleArray_ [4] |
Spare double array for passing information [0]!=0 switches on. | |
class | OsiClpSolverInterface |
Allow OsiClp certain perks. | |
Functions less likely to be useful to casual user | |
int | getSolution (const double *rowActivities, const double *columnActivities) |
Given an existing factorization computes and checks primal and dual solutions. | |
int | getSolution () |
Given an existing factorization computes and checks primal and dual solutions. | |
int | createPiecewiseLinearCosts (const int *starts, const double *lower, const double *gradient) |
Constructs a non linear cost from list of non-linearities (columns only) First lower of each column is taken as real lower Last lower is taken as real upper and cost ignored. | |
ClpDualRowPivot * | dualRowPivot () const |
dual row pivot choice | |
bool | goodAccuracy () const |
Returns true if model looks OK. | |
void | returnModel (ClpSimplex &otherModel) |
Return model - updates any scalars. | |
int | internalFactorize (int solveType) |
Factorizes using current basis. | |
ClpDataSave | saveData () |
Save data. | |
void | restoreData (ClpDataSave saved) |
Restore data. | |
void | cleanStatus () |
Clean up status. | |
int | factorize () |
Factorizes using current basis. For external use. | |
void | computeDuals (double *givenDjs) |
Computes duals from scratch. | |
void | computePrimals (const double *rowActivities, const double *columnActivities) |
Computes primals from scratch. | |
void | add (double *array, int column, double multiplier) const |
Adds multiple of a column into an array. | |
void | unpack (CoinIndexedVector *rowArray) const |
Unpacks one column of the matrix into indexed array Uses sequenceIn_ Also applies scaling if needed. | |
void | unpack (CoinIndexedVector *rowArray, int sequence) const |
Unpacks one column of the matrix into indexed array Slack if sequence>= numberColumns Also applies scaling if needed. | |
void | unpackPacked (CoinIndexedVector *rowArray) |
Unpacks one column of the matrix into indexed array as packed vector Uses sequenceIn_ Also applies scaling if needed. | |
void | unpackPacked (CoinIndexedVector *rowArray, int sequence) |
Unpacks one column of the matrix into indexed array as packed vector Slack if sequence>= numberColumns Also applies scaling if needed. | |
void | setValuesPassAction (double incomingInfeasibility, double allowedInfeasibility) |
For advanced use. | |
int | housekeeping (double objectiveChange) |
This does basis housekeeping and does values for in/out variables. | |
void | checkPrimalSolution (const double *rowActivities=NULL, const double *columnActivies=NULL) |
This sets largest infeasibility and most infeasible and sum and number of infeasibilities (Primal). | |
void | checkDualSolution () |
This sets largest infeasibility and most infeasible and sum and number of infeasibilities (Dual). | |
void | checkBothSolutions () |
This sets sum and number of infeasibilities (Dual and Primal). | |
Public Types | |
enum | Status { isFree = 0x00, basic = 0x01, atUpperBound = 0x02, atLowerBound = 0x03, superBasic = 0x04, isFixed = 0x05 } |
enums for status of various sorts. More... | |
enum | FakeBound { noFake = 0x00, bothFake = 0x01, upperFake = 0x02, lowerFake = 0x03 } |
Public Member Functions | |
Constructors and destructor and copy | |
ClpSimplex (bool emptyMessages=false) | |
Default constructor. | |
ClpSimplex (const ClpSimplex &rhs, int scalingMode=-1) | |
Copy constructor. | |
ClpSimplex (const ClpModel &rhs, int scalingMode=-1) | |
Copy constructor from model. | |
ClpSimplex (const ClpModel *wholeModel, int numberRows, const int *whichRows, int numberColumns, const int *whichColumns, bool dropNames=true, bool dropIntegers=true, bool fixOthers=false) | |
Subproblem constructor. | |
ClpSimplex (const ClpSimplex *wholeModel, int numberRows, const int *whichRows, int numberColumns, const int *whichColumns, bool dropNames=true, bool dropIntegers=true, bool fixOthers=false) | |
Subproblem constructor. | |
ClpSimplex (ClpSimplex *wholeModel, int numberColumns, const int *whichColumns) | |
This constructor modifies original ClpSimplex and stores original stuff in created ClpSimplex. | |
void | originalModel (ClpSimplex *miniModel) |
This copies back stuff from miniModel and then deletes miniModel. | |
void | setPersistenceFlag (int value) |
Array persistence flag If 0 then as now (delete/new) 1 then only do arrays if bigger needed 2 as 1 but give a bit extra if bigger needed. | |
void | auxiliaryModel (int options) |
If you are re-using the same matrix again and again then the setup time to do scaling may be significant. | |
void | deleteAuxiliaryModel () |
Switch off e.g. if people using presolve. | |
bool | usingAuxiliaryModel () const |
See if we have auxiliary model. | |
void | makeBaseModel () |
Save a copy of model with certain state - normally without cuts. | |
void | deleteBaseModel () |
Switch off base model. | |
ClpSimplex * | baseModel () const |
See if we have base model. | |
void | setToBaseModel (ClpSimplex *model=NULL) |
Reset to base model (just size and arrays needed) If model NULL use internal copy. | |
ClpSimplex & | operator= (const ClpSimplex &rhs) |
Assignment operator. This copies the data. | |
~ClpSimplex () | |
Destructor. | |
void | loadProblem (const ClpMatrixBase &matrix, const double *collb, const double *colub, const double *obj, const double *rowlb, const double *rowub, const double *rowObjective=NULL) |
Loads a problem (the constraints on the rows are given by lower and upper bounds). | |
void | loadProblem (const CoinPackedMatrix &matrix, const double *collb, const double *colub, const double *obj, const double *rowlb, const double *rowub, const double *rowObjective=NULL) |
Default constructor. | |
void | 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=NULL) |
Just like the other loadProblem() method except that the matrix is given in a standard column major ordered format (without gaps). | |
void | 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=NULL) |
This one is for after presolve to save memory. | |
int | loadProblem (CoinModel &modelObject, bool keepSolution=false) |
This loads a model from a coinModel object - returns number of errors. | |
int | readMps (const char *filename, bool keepNames=false, bool ignoreErrors=false) |
Read an mps file from the given filename. | |
int | readGMPL (const char *filename, const char *dataName, bool keepNames=false) |
Read GMPL files from the given filenames. | |
int | readLp (const char *filename, const double epsilon=1e-5) |
Read file in LP format from file with name filename. | |
void | borrowModel (ClpModel &otherModel) |
Borrow model. | |
void | borrowModel (ClpSimplex &otherModel) |
Default constructor. | |
void | passInEventHandler (const ClpEventHandler *eventHandler) |
Pass in Event handler (cloned and deleted at end). | |
void | getbackSolution (const ClpSimplex &smallModel, const int *whichRow, const int *whichColumn) |
Puts solution back into small model. | |
int | loadNonLinear (void *info, int &numberConstraints, ClpConstraint **&constraints) |
Load nonlinear part of problem from AMPL info Returns 0 if linear 1 if quadratic objective 2 if quadratic constraints 3 if nonlinear objective 4 if nonlinear constraints -1 on failure. | |
Functions most useful to user | |
int | initialSolve (ClpSolve &options) |
General solve algorithm which can do presolve. | |
int | initialSolve () |
Default initial solve. | |
int | initialDualSolve () |
Dual initial solve. | |
int | initialPrimalSolve () |
Primal initial solve. | |
int | initialBarrierSolve () |
Barrier initial solve. | |
int | initialBarrierNoCrossSolve () |
Barrier initial solve, not to be followed by crossover. | |
int | dual (int ifValuesPass=0, int startFinishOptions=0) |
Dual algorithm - see ClpSimplexDual.hpp for method. | |
int | dualDebug (int ifValuesPass=0, int startFinishOptions=0) |
General solve algorithm which can do presolve. | |
int | primal (int ifValuesPass=0, int startFinishOptions=0) |
Primal algorithm - see ClpSimplexPrimal.hpp for method. | |
int | nonlinearSLP (int numberPasses, double deltaTolerance) |
Solves nonlinear problem using SLP - may be used as crash for other algorithms when number of iterations small. | |
int | nonlinearSLP (int numberConstraints, ClpConstraint **constraints, int numberPasses, double deltaTolerance) |
Solves problem with nonlinear constraints using SLP - may be used as crash for other algorithms when number of iterations small. | |
int | barrier (bool crossover=true) |
Solves using barrier (assumes you have good cholesky factor code). | |
int | reducedGradient (int phase=0) |
Solves non-linear using reduced gradient. | |
int | cleanup (int cleanupScaling) |
When scaling is on it is possible that the scaled problem is feasible but the unscaled is not. | |
int | dualRanging (int numberCheck, const int *which, double *costIncrease, int *sequenceIncrease, double *costDecrease, int *sequenceDecrease, double *valueIncrease=NULL, double *valueDecrease=NULL) |
Dual ranging. | |
int | primalRanging (int numberCheck, const int *which, double *valueIncrease, int *sequenceIncrease, double *valueDecrease, int *sequenceDecrease) |
Primal ranging. | |
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, returns -1 on file error, 0 if no values, 1 if values. | |
CoinWarmStartBasis * | getBasis () const |
Returns a basis (to be deleted by user). | |
void | setFactorization (ClpFactorization &factorization) |
Passes in factorization. | |
void | copyFactorization (ClpFactorization &factorization) |
Copies in factorization to existing one. | |
int | tightenPrimalBounds (double factor=0.0, int doTight=0, bool tightIntegers=false) |
Tightens primal bounds to make dual faster. | |
int | crash (double gap, int pivot) |
Crash - at present just aimed at dual, returns -2 if dual preferred and crash basis created -1 if dual preferred and all slack basis preferred 0 if basis going in was not all slack 1 if primal preferred and all slack basis preferred 2 if primal preferred and crash basis created. | |
void | setDualRowPivotAlgorithm (ClpDualRowPivot &choice) |
Sets row pivot choice algorithm in dual. | |
void | setPrimalColumnPivotAlgorithm (ClpPrimalColumnPivot &choice) |
Sets column pivot choice algorithm in primal. | |
int | strongBranching (int numberVariables, const int *variables, double *newLower, double *newUpper, double **outputSolution, int *outputStatus, int *outputIterations, bool stopOnFirstInfeasible=true, bool alwaysFinish=false, int startFinishOptions=0) |
For strong branching. | |
int | fathom (void *stuff) |
Fathom - 1 if solution. | |
int | fathomMany (void *stuff) |
Do up to N deep - returns -1 - no solution nNodes_ valid nodes >= if solution and that node gives solution ClpNode array is 2**N long. | |
double | doubleCheck () |
Double checks OK. | |
int | startFastDual2 (ClpNodeStuff *stuff) |
Starts Fast dual2. | |
int | fastDual2 (ClpNodeStuff *stuff) |
Like Fast dual. | |
void | stopFastDual2 (ClpNodeStuff *stuff) |
Stops Fast dual2. | |
ClpSimplex * | fastCrunch (ClpNodeStuff *stuff, int mode) |
Deals with crunch aspects mode 0 - in 1 - out with solution 2 - out without solution returns small model or NULL. | |
Needed for functionality of OsiSimplexInterface | |
int | pivot () |
Pivot in a variable and out a variable. | |
int | primalPivotResult () |
Pivot in a variable and choose an outgoing one. | |
int | dualPivotResult () |
Pivot out a variable and choose an incoing one. | |
int | startup (int ifValuesPass, int startFinishOptions=0) |
Common bits of coding for dual and primal. | |
void | finish (int startFinishOptions=0) |
Pivot in a variable and out a variable. | |
bool | statusOfProblem (bool initial=false) |
Factorizes and returns true if optimal. | |
void | defaultFactorizationFrequency () |
If user left factorization frequency then compute. | |
most useful gets and sets | |
bool | primalFeasible () const |
If problem is primal feasible. | |
bool | dualFeasible () const |
If problem is dual feasible. | |
ClpFactorization * | factorization () const |
factorization | |
bool | sparseFactorization () const |
Sparsity on or off. | |
void | setSparseFactorization (bool value) |
If problem is primal feasible. | |
int | factorizationFrequency () const |
Factorization frequency. | |
void | setFactorizationFrequency (int value) |
If problem is primal feasible. | |
double | dualBound () const |
Dual bound. | |
void | setDualBound (double value) |
If problem is primal feasible. | |
double | infeasibilityCost () const |
Infeasibility cost. | |
void | setInfeasibilityCost (double value) |
If problem is primal feasible. | |
int | perturbation () const |
Amount of print out: 0 - none 1 - just final 2 - just factorizations 3 - as 2 plus a bit more 4 - verbose above that 8,16,32 etc just for selective debug. | |
void | setPerturbation (int value) |
If problem is primal feasible. | |
int | algorithm () const |
Current (or last) algorithm. | |
void | setAlgorithm (int value) |
Set algorithm. | |
double | sumDualInfeasibilities () const |
Sum of dual infeasibilities. | |
void | setSumDualInfeasibilities (double value) |
If problem is primal feasible. | |
double | sumOfRelaxedDualInfeasibilities () const |
Sum of relaxed dual infeasibilities. | |
void | setSumOfRelaxedDualInfeasibilities (double value) |
If problem is primal feasible. | |
int | numberDualInfeasibilities () const |
Number of dual infeasibilities. | |
void | setNumberDualInfeasibilities (int value) |
If problem is primal feasible. | |
int | numberDualInfeasibilitiesWithoutFree () const |
Number of dual infeasibilities (without free). | |
double | sumPrimalInfeasibilities () const |
Sum of primal infeasibilities. | |
void | setSumPrimalInfeasibilities (double value) |
If problem is primal feasible. | |
double | sumOfRelaxedPrimalInfeasibilities () const |
Sum of relaxed primal infeasibilities. | |
void | setSumOfRelaxedPrimalInfeasibilities (double value) |
If problem is primal feasible. | |
int | numberPrimalInfeasibilities () const |
Number of primal infeasibilities. | |
void | setNumberPrimalInfeasibilities (int value) |
If problem is primal feasible. | |
int | saveModel (const char *fileName) |
Save model to file, returns 0 if success. | |
int | restoreModel (const char *fileName) |
Restore model from file, returns 0 if success, deletes current model. | |
void | checkSolution (int setToBounds=false) |
Just check solution (for external use) - sets sum of infeasibilities etc. | |
void | checkSolutionInternal () |
Just check solution (for internal use) - sets sum of infeasibilities etc. | |
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). | |
most useful gets and sets | |
double | alphaAccuracy () const |
Initial value for alpha accuracy calculation (-1.0 off). | |
void | setAlphaAccuracy (double value) |
Initial value for alpha accuracy calculation (-1.0 off). | |
void | setDisasterHandler (ClpDisasterHandler *handler) |
Disaster handler. | |
double | largeValue () const |
Large bound value (for complementarity etc). | |
void | setLargeValue (double value) |
Initial value for alpha accuracy calculation (-1.0 off). | |
double | largestPrimalError () const |
Largest error on Ax-b. | |
double | largestDualError () const |
Largest error on basic duals. | |
void | setLargestPrimalError (double value) |
Largest error on Ax-b. | |
void | setLargestDualError (double value) |
Largest error on basic duals. | |
int * | pivotVariable () const |
Basic variables pivoting on which rows. | |
bool | automaticScaling () const |
If automatic scaling on. | |
void | setAutomaticScaling (bool onOff) |
Initial value for alpha accuracy calculation (-1.0 off). | |
double | currentDualTolerance () const |
Current dual tolerance. | |
void | setCurrentDualTolerance (double value) |
Initial value for alpha accuracy calculation (-1.0 off). | |
double | currentPrimalTolerance () const |
Current primal tolerance. | |
void | setCurrentPrimalTolerance (double value) |
Initial value for alpha accuracy calculation (-1.0 off). | |
int | numberRefinements () const |
How many iterative refinements to do. | |
void | setNumberRefinements (int value) |
Initial value for alpha accuracy calculation (-1.0 off). | |
double | alpha () const |
Alpha (pivot element) for use by classes e.g. steepestedge. | |
void | setAlpha (double value) |
Initial value for alpha accuracy calculation (-1.0 off). | |
double | dualIn () const |
Reduced cost of last incoming for use by classes e.g. steepestedge. | |
int | pivotRow () const |
Pivot Row for use by classes e.g. steepestedge. | |
void | setPivotRow (int value) |
Initial value for alpha accuracy calculation (-1.0 off). | |
double | valueIncomingDual () const |
value of incoming variable (in Dual) | |
public methods | |
double * | solutionRegion (int section) const |
Return row or column sections - not as much needed as it once was. | |
double * | djRegion (int section) const |
Return row or column sections - not as much needed as it once was. | |
double * | lowerRegion (int section) const |
Return row or column sections - not as much needed as it once was. | |
double * | upperRegion (int section) const |
Return row or column sections - not as much needed as it once was. | |
double * | costRegion (int section) const |
Return row or column sections - not as much needed as it once was. | |
double * | solutionRegion () const |
Return region as single array. | |
double * | djRegion () const |
Return row or column sections - not as much needed as it once was. | |
double * | lowerRegion () const |
Return row or column sections - not as much needed as it once was. | |
double * | upperRegion () const |
Return row or column sections - not as much needed as it once was. | |
double * | costRegion () const |
Return row or column sections - not as much needed as it once was. | |
Status | getStatus (int sequence) const |
Return row or column sections - not as much needed as it once was. | |
void | setStatus (int sequence, Status status) |
Return row or column sections - not as much needed as it once was. | |
bool | startPermanentArrays () |
Start or reset using maximumRows_ and Columns_ - true if change. | |
void | setInitialDenseFactorization (bool onOff) |
Normally the first factorization does sparse coding because the factorization could be singular. | |
bool | initialDenseFactorization () const |
Return row or column sections - not as much needed as it once was. | |
int | sequenceIn () const |
Return sequence In or Out. | |
int | sequenceOut () const |
Return row or column sections - not as much needed as it once was. | |
void | setSequenceIn (int sequence) |
Set sequenceIn or Out. | |
void | setSequenceOut (int sequence) |
Return row or column sections - not as much needed as it once was. | |
int | directionIn () const |
Return direction In or Out. | |
int | directionOut () const |
Return row or column sections - not as much needed as it once was. | |
void | setDirectionIn (int direction) |
Set directionIn or Out. | |
void | setDirectionOut (int direction) |
Return row or column sections - not as much needed as it once was. | |
double | valueOut () const |
Value of Out variable. | |
int | isColumn (int sequence) const |
Returns 1 if sequence indicates column. | |
int | sequenceWithin (int sequence) const |
Returns sequence number within section. | |
double | solution (int sequence) |
Return row or column values. | |
double & | solutionAddress (int sequence) |
Return address of row or column values. | |
double | reducedCost (int sequence) |
Return row or column sections - not as much needed as it once was. | |
double & | reducedCostAddress (int sequence) |
Return row or column sections - not as much needed as it once was. | |
double | lower (int sequence) |
Return row or column sections - not as much needed as it once was. | |
double & | lowerAddress (int sequence) |
Return address of row or column lower bound. | |
double | upper (int sequence) |
Return row or column sections - not as much needed as it once was. | |
double & | upperAddress (int sequence) |
Return address of row or column upper bound. | |
double | cost (int sequence) |
Return row or column sections - not as much needed as it once was. | |
double & | costAddress (int sequence) |
Return address of row or column cost. | |
double | originalLower (int iSequence) const |
Return original lower bound. | |
double | originalUpper (int iSequence) const |
Return original lower bound. | |
double | theta () const |
Theta (pivot change). | |
ClpNonLinearCost * | nonLinearCost () const |
Return pointer to details of costs. | |
int | moreSpecialOptions () const |
Return more special options 1 bit - if presolve says infeasible in ClpSolve return 2 bit - if presolved problem infeasible return 4 bit - keep arrays like upper_ around 8 bit - if factorization kept can still declare optimal at once. | |
void | setMoreSpecialOptions (int value) |
Set more special options 1 bit - if presolve says infeasible in ClpSolve return 2 bit - if presolved problem infeasible return 4 bit - keep arrays like upper_ around. | |
status methods | |
void | setFakeBound (int sequence, FakeBound fakeBound) |
To flag a variable (not inline to allow for column generation). | |
FakeBound | getFakeBound (int sequence) const |
To flag a variable (not inline to allow for column generation). | |
void | setRowStatus (int sequence, Status status) |
To flag a variable (not inline to allow for column generation). | |
Status | getRowStatus (int sequence) const |
To flag a variable (not inline to allow for column generation). | |
void | setColumnStatus (int sequence, Status status) |
To flag a variable (not inline to allow for column generation). | |
Status | getColumnStatus (int sequence) const |
To flag a variable (not inline to allow for column generation). | |
void | setPivoted (int sequence) |
To flag a variable (not inline to allow for column generation). | |
void | clearPivoted (int sequence) |
To flag a variable (not inline to allow for column generation). | |
bool | pivoted (int sequence) const |
To flag a variable (not inline to allow for column generation). | |
void | setFlagged (int sequence) |
To flag a variable (not inline to allow for column generation). | |
void | clearFlagged (int sequence) |
To flag a variable (not inline to allow for column generation). | |
bool | flagged (int sequence) const |
To flag a variable (not inline to allow for column generation). | |
void | setActive (int iRow) |
To say row active in primal pivot row choice. | |
void | clearActive (int iRow) |
To flag a variable (not inline to allow for column generation). | |
bool | active (int iRow) const |
To flag a variable (not inline to allow for column generation). | |
void | createStatus () |
Set up status array (can be used by OsiClp). | |
void | allSlackBasis (bool resetSolution=false) |
Sets up all slack basis and resets solution to as it was after initial load or readMps. | |
int | lastBadIteration () const |
So we know when to be cautious. | |
int | progressFlag () const |
Progress flag - at present 0 bit says artificials out. | |
void | forceFactorization (int value) |
Force re-factorization early. | |
double | rawObjectiveValue () const |
Raw objective value (so always minimize in primal). | |
void | computeObjectiveValue (bool useWorkingSolution=false) |
Compute objective value from solution and put in objectiveValue_. | |
double | computeInternalObjectiveValue () |
Compute minimization objective value from internal solution without perturbation. | |
int | numberExtraRows () const |
Number of extra rows. | |
int | maximumBasic () const |
Maximum number of basic variables - can be more than number of rows if GUB. | |
int | baseIteration () const |
Iteration when we entered dual or primal. | |
void | generateCpp (FILE *fp, bool defaultFactor=false) |
Create C++ lines to get to current state. | |
ClpFactorization * | getEmptyFactorization () |
Gets clean and emptyish factorization. | |
void | setEmptyFactorization () |
May delete or may make clean and emptyish factorization. | |
void | moveInfo (const ClpSimplex &rhs, bool justStatus=false) |
Move status and solution across. | |
Basis handling | |
void | getBInvARow (int row, double *z, double *slack=NULL) |
Get a row of the tableau (slack part in slack if not NULL). | |
void | getBInvRow (int row, double *z) |
Get a row of the basis inverse. | |
void | getBInvACol (int col, double *vec) |
Get a column of the tableau. | |
void | getBInvCol (int col, double *vec) |
Get a column of the basis inverse. | |
void | getBasics (int *index) |
Get basic indices (order of indices corresponds to the order of elements in a vector retured by getBInvACol() and getBInvCol()). | |
Changing bounds on variables and constraints | |
void | setObjectiveCoefficient (int elementIndex, double elementValue) |
Set an objective function coefficient. | |
void | setObjCoeff (int elementIndex, double elementValue) |
Set an objective function coefficient. | |
void | setColumnLower (int elementIndex, double elementValue) |
Set a single column lower bound Use -DBL_MAX for -infinity. | |
void | setColumnUpper (int elementIndex, double elementValue) |
Set a single column upper bound Use DBL_MAX for infinity. | |
void | setColumnBounds (int elementIndex, double lower, double upper) |
Set a single column lower and upper bound. | |
void | setColumnSetBounds (const int *indexFirst, const int *indexLast, const double *boundList) |
Set the bounds on a number of columns simultaneously The default implementation just invokes setColLower() and setColUpper() over and over again. | |
void | setColLower (int elementIndex, double elementValue) |
Set a single column lower bound Use -DBL_MAX for -infinity. | |
void | setColUpper (int elementIndex, double elementValue) |
Set a single column upper bound Use DBL_MAX for infinity. | |
void | setColBounds (int elementIndex, double lower, double upper) |
Set a single column lower and upper bound. | |
void | setColSetBounds (const int *indexFirst, const int *indexLast, const double *boundList) |
Set the bounds on a number of columns simultaneously . | |
void | setRowLower (int elementIndex, double elementValue) |
Set a single row lower bound Use -DBL_MAX for -infinity. | |
void | setRowUpper (int elementIndex, double elementValue) |
Set a single row upper bound Use DBL_MAX for infinity. | |
void | setRowBounds (int elementIndex, double lower, double upper) |
Set a single row lower and upper bound. | |
void | setRowSetBounds (const int *indexFirst, const int *indexLast, const double *boundList) |
Set the bounds on a number of rows simultaneously . | |
Protected Member Functions | |
protected methods | |
int | gutsOfSolution (double *givenDuals, const double *givenPrimals, bool valuesPass=false) |
May change basis and then returns number changed. | |
void | gutsOfDelete (int type) |
Does most of deletion (0 = all, 1 = most, 2 most + factorization). | |
void | gutsOfCopy (const ClpSimplex &rhs) |
Does most of copying. | |
bool | createRim (int what, bool makeRowCopy=false, int startFinishOptions=0) |
puts in format I like (rowLower,rowUpper) also see StandardMatrix 1 bit does rows (now and columns), (2 bit does column bounds), 4 bit does objective(s). | |
void | createRim1 (bool initial) |
Does rows and columns. | |
void | createRim4 (bool initial) |
Does objective. | |
void | createRim5 (bool initial) |
Does rows and columns and objective. | |
void | deleteRim (int getRidOfFactorizationData=2) |
releases above arrays and does solution scaling out. | |
bool | sanityCheck () |
Sanity check on input rim data (after scaling) - returns true if okay. | |
Friends | |
void | ClpSimplexUnitTest (const std::string &mpsDir) |
A function that tests the methods in the ClpSimplex class. |
It inherits from ClpModel and all its arrays are created at algorithm time. Originally I tried to work with model arrays but for simplicity of coding I changed to single arrays with structural variables then row variables. Some coding is still based on old style and needs cleaning up.
For a description of algorithms:
for dual see ClpSimplexDual.hpp and at top of ClpSimplexDual.cpp for primal see ClpSimplexPrimal.hpp and at top of ClpSimplexPrimal.cpp
There is an algorithm data member. + for primal variations and - for dual variations
Definition at line 48 of file ClpSimplex.hpp.
enum ClpSimplex::Status |
enums for status of various sorts.
First 4 match CoinWarmStartBasis, isFixed means fixed at lower bound and out of basis
Definition at line 56 of file ClpSimplex.hpp.
ClpSimplex::ClpSimplex | ( | bool | emptyMessages = false |
) |
Default constructor.
ClpSimplex::ClpSimplex | ( | const ClpSimplex & | rhs, | |
int | scalingMode = -1 | |||
) |
Copy constructor.
May scale depending on mode -1 leave mode as is 0 -off, 1 equilibrium, 2 geometric, 3, auto, 4 dynamic(later)
ClpSimplex::ClpSimplex | ( | const ClpModel & | rhs, | |
int | scalingMode = -1 | |||
) |
Copy constructor from model.
May scale depending on mode -1 leave mode as is 0 -off, 1 equilibrium, 2 geometric, 3, auto, 4 dynamic(later)
ClpSimplex::ClpSimplex | ( | const ClpModel * | wholeModel, | |
int | numberRows, | |||
const int * | whichRows, | |||
int | numberColumns, | |||
const int * | whichColumns, | |||
bool | dropNames = true , |
|||
bool | dropIntegers = true , |
|||
bool | fixOthers = false | |||
) |
Subproblem constructor.
A subset of whole model is created from the row and column lists given. The new order is given by list order and duplicates are allowed. Name and integer information can be dropped Can optionally modify rhs to take into account variables NOT in list in this case duplicates are not allowed (also see getbackSolution)
ClpSimplex::ClpSimplex | ( | const ClpSimplex * | wholeModel, | |
int | numberRows, | |||
const int * | whichRows, | |||
int | numberColumns, | |||
const int * | whichColumns, | |||
bool | dropNames = true , |
|||
bool | dropIntegers = true , |
|||
bool | fixOthers = false | |||
) |
Subproblem constructor.
A subset of whole model is created from the row and column lists given. The new order is given by list order and duplicates are allowed. Name and integer information can be dropped Can optionally modify rhs to take into account variables NOT in list in this case duplicates are not allowed (also see getbackSolution)
ClpSimplex::ClpSimplex | ( | ClpSimplex * | wholeModel, | |
int | numberColumns, | |||
const int * | whichColumns | |||
) |
This constructor modifies original ClpSimplex and stores original stuff in created ClpSimplex.
It is only to be used in conjunction with originalModel
ClpSimplex::~ClpSimplex | ( | ) |
Destructor.
void ClpSimplex::originalModel | ( | ClpSimplex * | miniModel | ) |
This copies back stuff from miniModel and then deletes miniModel.
Only to be used with mini constructor
void ClpSimplex::setPersistenceFlag | ( | int | value | ) |
Array persistence flag If 0 then as now (delete/new) 1 then only do arrays if bigger needed 2 as 1 but give a bit extra if bigger needed.
void ClpSimplex::auxiliaryModel | ( | int | options | ) |
If you are re-using the same matrix again and again then the setup time to do scaling may be significant.
Also you may not want to initialize all values or return all values (especially if infeasible). While an auxiliary model exists it will be faster. If options -1 then model is switched off. Otherwise switched on with following options. 1 - rhs is constant 2 - bounds are constant 4 - objective is constant 8 - solution in by basis and no djs etc in 16 - no duals out (but reduced costs) 32 - no output if infeasible
void ClpSimplex::deleteAuxiliaryModel | ( | ) |
Switch off e.g. if people using presolve.
bool ClpSimplex::usingAuxiliaryModel | ( | ) | const [inline] |
void ClpSimplex::makeBaseModel | ( | ) |
Save a copy of model with certain state - normally without cuts.
void ClpSimplex::deleteBaseModel | ( | ) |
Switch off base model.
ClpSimplex* ClpSimplex::baseModel | ( | ) | const [inline] |
void ClpSimplex::setToBaseModel | ( | ClpSimplex * | model = NULL |
) |
Reset to base model (just size and arrays needed) If model NULL use internal copy.
ClpSimplex& ClpSimplex::operator= | ( | const ClpSimplex & | rhs | ) |
Assignment operator. This copies the data.
void ClpSimplex::loadProblem | ( | const ClpMatrixBase & | matrix, | |
const double * | collb, | |||
const double * | colub, | |||
const double * | obj, | |||
const double * | rowlb, | |||
const double * | rowub, | |||
const double * | rowObjective = NULL | |||
) |
Loads a problem (the constraints on the rows are given by lower and upper bounds).
If a pointer is 0 then the following values are the default:
colub
: all columns have upper bound infinity collb
: all columns have lower bound 0 rowub
: all rows have upper bound infinity rowlb
: all rows have lower bound -infinity obj
: all variables have 0 objective coefficient Reimplemented from ClpModel.
void ClpSimplex::loadProblem | ( | const CoinPackedMatrix & | matrix, | |
const double * | collb, | |||
const double * | colub, | |||
const double * | obj, | |||
const double * | rowlb, | |||
const double * | rowub, | |||
const double * | rowObjective = NULL | |||
) |
void ClpSimplex::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 = NULL | |||
) |
Just like the other loadProblem() method except that the matrix is given in a standard column major ordered format (without gaps).
Reimplemented from ClpModel.
void ClpSimplex::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 = NULL | |||
) |
int ClpSimplex::loadProblem | ( | CoinModel & | modelObject, | |
bool | keepSolution = false | |||
) |
This loads a model from a coinModel object - returns number of errors.
If keepSolution true and size is same as current then keeps current status and solution
Reimplemented from ClpModel.
int ClpSimplex::readMps | ( | const char * | filename, | |
bool | keepNames = false , |
|||
bool | ignoreErrors = false | |||
) |
int ClpSimplex::readGMPL | ( | const char * | filename, | |
const char * | dataName, | |||
bool | keepNames = false | |||
) |
int ClpSimplex::readLp | ( | const char * | filename, | |
const double | epsilon = 1e-5 | |||
) |
Read file in LP format from file with name filename.
See class CoinLpIO for description of this format.
void ClpSimplex::borrowModel | ( | ClpModel & | otherModel | ) |
void ClpSimplex::borrowModel | ( | ClpSimplex & | otherModel | ) |
Default constructor.
void ClpSimplex::passInEventHandler | ( | const ClpEventHandler * | eventHandler | ) |
void ClpSimplex::getbackSolution | ( | const ClpSimplex & | smallModel, | |
const int * | whichRow, | |||
const int * | whichColumn | |||
) |
Puts solution back into small model.
int ClpSimplex::loadNonLinear | ( | void * | info, | |
int & | numberConstraints, | |||
ClpConstraint **& | constraints | |||
) |
Load nonlinear part of problem from AMPL info Returns 0 if linear 1 if quadratic objective 2 if quadratic constraints 3 if nonlinear objective 4 if nonlinear constraints -1 on failure.
int ClpSimplex::initialSolve | ( | ClpSolve & | options | ) |
General solve algorithm which can do presolve.
See ClpSolve.hpp for options
int ClpSimplex::initialSolve | ( | ) |
Default initial solve.
int ClpSimplex::initialDualSolve | ( | ) |
Dual initial solve.
int ClpSimplex::initialPrimalSolve | ( | ) |
Primal initial solve.
int ClpSimplex::initialBarrierSolve | ( | ) |
Barrier initial solve.
int ClpSimplex::initialBarrierNoCrossSolve | ( | ) |
Barrier initial solve, not to be followed by crossover.
int ClpSimplex::dual | ( | int | ifValuesPass = 0 , |
|
int | startFinishOptions = 0 | |||
) |
Dual algorithm - see ClpSimplexDual.hpp for method.
ifValuesPass==2 just does values pass and then stops.
startFinishOptions - bits 1 - do not delete work areas and factorization at end 2 - use old factorization if same number of rows 4 - skip as much initialization of work areas as possible (based on whatsChanged in clpmodel.hpp) ** work in progress maybe other bits later
Reimplemented in ClpSimplexDual.
int ClpSimplex::dualDebug | ( | int | ifValuesPass = 0 , |
|
int | startFinishOptions = 0 | |||
) |
General solve algorithm which can do presolve.
See ClpSolve.hpp for options
int ClpSimplex::primal | ( | int | ifValuesPass = 0 , |
|
int | startFinishOptions = 0 | |||
) |
Primal algorithm - see ClpSimplexPrimal.hpp for method.
ifValuesPass==2 just does values pass and then stops.
startFinishOptions - bits 1 - do not delete work areas and factorization at end 2 - use old factorization if same number of rows 4 - skip as much initialization of work areas as possible (based on whatsChanged in clpmodel.hpp) ** work in progress maybe other bits later
Reimplemented in ClpSimplexPrimal.
int ClpSimplex::nonlinearSLP | ( | int | numberPasses, | |
double | deltaTolerance | |||
) |
Solves nonlinear problem using SLP - may be used as crash for other algorithms when number of iterations small.
Also exits if all problematical variables are changing less than deltaTolerance
int ClpSimplex::nonlinearSLP | ( | int | numberConstraints, | |
ClpConstraint ** | constraints, | |||
int | numberPasses, | |||
double | deltaTolerance | |||
) |
Solves problem with nonlinear constraints using SLP - may be used as crash for other algorithms when number of iterations small.
Also exits if all problematical variables are changing less than deltaTolerance
int ClpSimplex::barrier | ( | bool | crossover = true |
) |
Solves using barrier (assumes you have good cholesky factor code).
Does crossover to simplex if asked
int ClpSimplex::reducedGradient | ( | int | phase = 0 |
) |
Solves non-linear using reduced gradient.
Phase = 0 get feasible, =1 use solution
int ClpSimplex::cleanup | ( | int | cleanupScaling | ) |
When scaling is on it is possible that the scaled problem is feasible but the unscaled is not.
Clp returns a secondary status code to that effect. This option allows for a cleanup. If you use it I would suggest 1. This only affects actions when scaled optimal 0 - no action 1 - clean up using dual if primal infeasibility 2 - clean up using dual if dual infeasibility 3 - clean up using dual if primal or dual infeasibility 11,12,13 - as 1,2,3 but use primal
return code as dual/primal
int ClpSimplex::dualRanging | ( | int | numberCheck, | |
const int * | which, | |||
double * | costIncrease, | |||
int * | sequenceIncrease, | |||
double * | costDecrease, | |||
int * | sequenceDecrease, | |||
double * | valueIncrease = NULL , |
|||
double * | valueDecrease = NULL | |||
) |
Dual ranging.
This computes increase/decrease in cost for each given variable and corresponding sequence numbers which would change basis. Sequence numbers are 0..numberColumns and numberColumns.. for artificials/slacks. For non-basic variables the information is trivial to compute and the change in cost is just minus the reduced cost and the sequence number will be that of the non-basic variables. For basic variables a ratio test is between the reduced costs for non-basic variables and the row of the tableau corresponding to the basic variable. The increase/decrease value is always >= 0.0
Up to user to provide correct length arrays where each array is of length numberCheck. which contains list of variables for which information is desired. All other arrays will be filled in by function. If fifth entry in which is variable 7 then fifth entry in output arrays will be information for variable 7.
If valueIncrease/Decrease not NULL (both must be NULL or both non NULL) then these are filled with the value of variable if such a change in cost were made (the existing bounds are ignored)
Returns non-zero if infeasible unbounded etc
Reimplemented in ClpSimplexOther.
int ClpSimplex::primalRanging | ( | int | numberCheck, | |
const int * | which, | |||
double * | valueIncrease, | |||
int * | sequenceIncrease, | |||
double * | valueDecrease, | |||
int * | sequenceDecrease | |||
) |
Primal ranging.
This computes increase/decrease in value for each given variable and corresponding sequence numbers which would change basis. Sequence numbers are 0..numberColumns and numberColumns.. for artificials/slacks. This should only be used for non-basic variabls as otherwise information is pretty useless For basic variables the sequence number will be that of the basic variables.
Up to user to provide correct length arrays where each array is of length numberCheck. which contains list of variables for which information is desired. All other arrays will be filled in by function. If fifth entry in which is variable 7 then fifth entry in output arrays will be information for variable 7.
Returns non-zero if infeasible unbounded etc
Reimplemented in ClpSimplexOther.
int ClpSimplex::writeBasis | ( | const char * | filename, | |
bool | writeValues = false , |
|||
int | formatType = 0 | |||
) | const |
Write the basis in MPS format to the specified file.
If writeValues true writes values of structurals (and adds VALUES to end of NAME card)
Row and column names may be null. formatType is
Returns non-zero on I/O error
Reimplemented in ClpSimplexOther.
int ClpSimplex::readBasis | ( | const char * | filename | ) |
Read a basis from the given filename, returns -1 on file error, 0 if no values, 1 if values.
Reimplemented in ClpSimplexOther.
CoinWarmStartBasis* ClpSimplex::getBasis | ( | ) | const |
Returns a basis (to be deleted by user).
void ClpSimplex::setFactorization | ( | ClpFactorization & | factorization | ) |
Passes in factorization.
void ClpSimplex::copyFactorization | ( | ClpFactorization & | factorization | ) |
Copies in factorization to existing one.
int ClpSimplex::tightenPrimalBounds | ( | double | factor = 0.0 , |
|
int | doTight = 0 , |
|||
bool | tightIntegers = false | |||
) |
Tightens primal bounds to make dual faster.
Unless fixed or doTight>10, bounds are slightly looser than they could be. This is to make dual go faster and is probably not needed with a presolve. Returns non-zero if problem infeasible.
Fudge for branch and bound - put bounds on columns of factor * largest value (at continuous) - should improve stability in branch and bound on infeasible branches (0.0 is off)
int ClpSimplex::crash | ( | double | gap, | |
int | pivot | |||
) |
Crash - at present just aimed at dual, returns -2 if dual preferred and crash basis created -1 if dual preferred and all slack basis preferred 0 if basis going in was not all slack 1 if primal preferred and all slack basis preferred 2 if primal preferred and crash basis created.
if gap between bounds <="gap" variables can be flipped ( If pivot -1 then can be made super basic!)
If "pivot" is -1 No pivoting - always primal 0 No pivoting (so will just be choice of algorithm) 1 Simple pivoting e.g. gub 2 Mini iterations
void ClpSimplex::setDualRowPivotAlgorithm | ( | ClpDualRowPivot & | choice | ) |
Sets row pivot choice algorithm in dual.
void ClpSimplex::setPrimalColumnPivotAlgorithm | ( | ClpPrimalColumnPivot & | choice | ) |
Sets column pivot choice algorithm in primal.
int ClpSimplex::strongBranching | ( | int | numberVariables, | |
const int * | variables, | |||
double * | newLower, | |||
double * | newUpper, | |||
double ** | outputSolution, | |||
int * | outputStatus, | |||
int * | outputIterations, | |||
bool | stopOnFirstInfeasible = true , |
|||
bool | alwaysFinish = false , |
|||
int | startFinishOptions = 0 | |||
) |
For strong branching.
On input lower and upper are new bounds while on output they are change in objective function values (>1.0e50 infeasible). Return code is 0 if nothing interesting, -1 if infeasible both ways and +1 if infeasible one way (check values to see which one(s)) Solutions are filled in as well - even down, odd up - also status and number of iterations
Reimplemented in ClpSimplexDual.
int ClpSimplex::fathom | ( | void * | stuff | ) |
Fathom - 1 if solution.
int ClpSimplex::fathomMany | ( | void * | stuff | ) |
Do up to N deep - returns -1 - no solution nNodes_ valid nodes >= if solution and that node gives solution ClpNode array is 2**N long.
Values for N and array are in stuff (nNodes_ also in stuff)
double ClpSimplex::doubleCheck | ( | ) |
Double checks OK.
int ClpSimplex::startFastDual2 | ( | ClpNodeStuff * | stuff | ) |
Starts Fast dual2.
int ClpSimplex::fastDual2 | ( | ClpNodeStuff * | stuff | ) |
Like Fast dual.
void ClpSimplex::stopFastDual2 | ( | ClpNodeStuff * | stuff | ) |
Stops Fast dual2.
ClpSimplex* ClpSimplex::fastCrunch | ( | ClpNodeStuff * | stuff, | |
int | mode | |||
) |
Deals with crunch aspects mode 0 - in 1 - out with solution 2 - out without solution returns small model or NULL.
int ClpSimplex::pivot | ( | ) |
Pivot in a variable and out a variable.
Returns 0 if okay, 1 if inaccuracy forced re-factorization, -1 if would be singular. Also updates primal/dual infeasibilities. Assumes sequenceIn_ and pivotRow_ set and also directionIn and Out.
int ClpSimplex::primalPivotResult | ( | ) |
Pivot in a variable and choose an outgoing one.
Assumes primal feasible - will not go through a bound. Returns step length in theta Returns ray in ray_ (or NULL if no pivot) Return codes as before but -1 means no acceptable pivot
int ClpSimplex::dualPivotResult | ( | ) |
Pivot out a variable and choose an incoing one.
Assumes dual feasible - will not go through a reduced cost. Returns step length in theta Returns ray in ray_ (or NULL if no pivot) Return codes as before but -1 means no acceptable pivot
int ClpSimplex::startup | ( | int | ifValuesPass, | |
int | startFinishOptions = 0 | |||
) |
Common bits of coding for dual and primal.
Return 0 if okay, 1 if bad matrix, 2 if very bad factorization
startFinishOptions - bits 1 - do not delete work areas and factorization at end 2 - use old factorization if same number of rows 4 - skip as much initialization of work areas as possible (based on whatsChanged in clpmodel.hpp) ** work in progress maybe other bits later
void ClpSimplex::finish | ( | int | startFinishOptions = 0 |
) |
Pivot in a variable and out a variable.
Returns 0 if okay, 1 if inaccuracy forced re-factorization, -1 if would be singular. Also updates primal/dual infeasibilities. Assumes sequenceIn_ and pivotRow_ set and also directionIn and Out.
bool ClpSimplex::statusOfProblem | ( | bool | initial = false |
) |
Factorizes and returns true if optimal.
Used by user
void ClpSimplex::defaultFactorizationFrequency | ( | ) |
If user left factorization frequency then compute.
bool ClpSimplex::primalFeasible | ( | ) | const [inline] |
bool ClpSimplex::dualFeasible | ( | ) | const [inline] |
ClpFactorization* ClpSimplex::factorization | ( | ) | const [inline] |
bool ClpSimplex::sparseFactorization | ( | ) | const |
Sparsity on or off.
void ClpSimplex::setSparseFactorization | ( | bool | value | ) |
If problem is primal feasible.
int ClpSimplex::factorizationFrequency | ( | ) | const |
Factorization frequency.
void ClpSimplex::setFactorizationFrequency | ( | int | value | ) |
If problem is primal feasible.
double ClpSimplex::dualBound | ( | ) | const [inline] |
void ClpSimplex::setDualBound | ( | double | value | ) |
If problem is primal feasible.
double ClpSimplex::infeasibilityCost | ( | ) | const [inline] |
void ClpSimplex::setInfeasibilityCost | ( | double | value | ) |
If problem is primal feasible.
int ClpSimplex::perturbation | ( | ) | const [inline] |
Amount of print out: 0 - none 1 - just final 2 - just factorizations 3 - as 2 plus a bit more 4 - verbose above that 8,16,32 etc just for selective debug.
Perturbation: 50 - switch on perturbation 100 - auto perturb if takes too long (1.0e-6 largest nonzero) 101 - we are perturbed 102 - don't try perturbing again default is 100 others are for playing
Definition at line 531 of file ClpSimplex.hpp.
void ClpSimplex::setPerturbation | ( | int | value | ) |
If problem is primal feasible.
int ClpSimplex::algorithm | ( | ) | const [inline] |
void ClpSimplex::setAlgorithm | ( | int | value | ) | [inline] |
double ClpSimplex::sumDualInfeasibilities | ( | ) | const [inline] |
void ClpSimplex::setSumDualInfeasibilities | ( | double | value | ) | [inline] |
double ClpSimplex::sumOfRelaxedDualInfeasibilities | ( | ) | const [inline] |
void ClpSimplex::setSumOfRelaxedDualInfeasibilities | ( | double | value | ) | [inline] |
int ClpSimplex::numberDualInfeasibilities | ( | ) | const [inline] |
void ClpSimplex::setNumberDualInfeasibilities | ( | int | value | ) | [inline] |
int ClpSimplex::numberDualInfeasibilitiesWithoutFree | ( | ) | const [inline] |
double ClpSimplex::sumPrimalInfeasibilities | ( | ) | const [inline] |
void ClpSimplex::setSumPrimalInfeasibilities | ( | double | value | ) | [inline] |
double ClpSimplex::sumOfRelaxedPrimalInfeasibilities | ( | ) | const [inline] |
void ClpSimplex::setSumOfRelaxedPrimalInfeasibilities | ( | double | value | ) | [inline] |
int ClpSimplex::numberPrimalInfeasibilities | ( | ) | const [inline] |
void ClpSimplex::setNumberPrimalInfeasibilities | ( | int | value | ) | [inline] |
int ClpSimplex::saveModel | ( | const char * | fileName | ) |
Save model to file, returns 0 if success.
This is designed for use outside algorithms so does not save iterating arrays etc. It does not save any messaging information. Does not save scaling values. It does not know about all types of virtual functions.
int ClpSimplex::restoreModel | ( | const char * | fileName | ) |
Restore model from file, returns 0 if success, deletes current model.
void ClpSimplex::checkSolution | ( | int | setToBounds = false |
) |
Just check solution (for external use) - sets sum of infeasibilities etc.
If setToBounds 0 then primal column values not changed and used to compute primal row activity values. If 1 or 2 then status used - so all nonbasic variables set to indicated bound and if any values changed (or ==2) basic values re-computed.
void ClpSimplex::checkSolutionInternal | ( | ) |
Just check solution (for internal use) - sets sum of infeasibilities etc.
CoinIndexedVector* ClpSimplex::rowArray | ( | int | index | ) | const [inline] |
CoinIndexedVector* ClpSimplex::columnArray | ( | int | index | ) | const [inline] |
int ClpSimplex::getSolution | ( | const double * | rowActivities, | |
const double * | columnActivities | |||
) |
Given an existing factorization computes and checks primal and dual solutions.
Uses input arrays for variables at bounds. Returns feasibility states
int ClpSimplex::getSolution | ( | ) |
Given an existing factorization computes and checks primal and dual solutions.
Uses current problem arrays for bounds. Returns feasibility states
int ClpSimplex::createPiecewiseLinearCosts | ( | const int * | starts, | |
const double * | lower, | |||
const double * | gradient | |||
) |
Constructs a non linear cost from list of non-linearities (columns only) First lower of each column is taken as real lower Last lower is taken as real upper and cost ignored.
Returns nonzero if bad data e.g. lowers not monotonic
ClpDualRowPivot* ClpSimplex::dualRowPivot | ( | ) | const [inline] |
bool ClpSimplex::goodAccuracy | ( | ) | const [inline] |
void ClpSimplex::returnModel | ( | ClpSimplex & | otherModel | ) |
Return model - updates any scalars.
int ClpSimplex::internalFactorize | ( | int | solveType | ) |
Factorizes using current basis.
solveType - 1 iterating, 0 initial, -1 external If 10 added then in primal values pass Return codes are as from ClpFactorization unless initial factorization when total number of singularities is returned. Special case is numberRows_+1 -> all slack basis.
ClpDataSave ClpSimplex::saveData | ( | ) |
Save data.
void ClpSimplex::restoreData | ( | ClpDataSave | saved | ) |
Restore data.
void ClpSimplex::cleanStatus | ( | ) |
Clean up status.
int ClpSimplex::factorize | ( | ) |
Factorizes using current basis. For external use.
void ClpSimplex::computeDuals | ( | double * | givenDjs | ) |
Computes duals from scratch.
If givenDjs then allows for nonzero basic djs
void ClpSimplex::computePrimals | ( | const double * | rowActivities, | |
const double * | columnActivities | |||
) |
Computes primals from scratch.
void ClpSimplex::add | ( | double * | array, | |
int | column, | |||
double | multiplier | |||
) | const |
Adds multiple of a column into an array.
void ClpSimplex::unpack | ( | CoinIndexedVector * | rowArray | ) | const |
Unpacks one column of the matrix into indexed array Uses sequenceIn_ Also applies scaling if needed.
void ClpSimplex::unpack | ( | CoinIndexedVector * | rowArray, | |
int | sequence | |||
) | const |
Unpacks one column of the matrix into indexed array Slack if sequence>= numberColumns Also applies scaling if needed.
void ClpSimplex::unpackPacked | ( | CoinIndexedVector * | rowArray | ) |
Unpacks one column of the matrix into indexed array as packed vector Uses sequenceIn_ Also applies scaling if needed.
void ClpSimplex::unpackPacked | ( | CoinIndexedVector * | rowArray, | |
int | sequence | |||
) |
Unpacks one column of the matrix into indexed array as packed vector Slack if sequence>= numberColumns Also applies scaling if needed.
int ClpSimplex::housekeeping | ( | double | objectiveChange | ) | [protected] |
This does basis housekeeping and does values for in/out variables.
Can also decide to re-factorize
void ClpSimplex::checkPrimalSolution | ( | const double * | rowActivities = NULL , |
|
const double * | columnActivies = NULL | |||
) | [protected] |
This sets largest infeasibility and most infeasible and sum and number of infeasibilities (Primal).
void ClpSimplex::checkDualSolution | ( | ) | [protected] |
This sets largest infeasibility and most infeasible and sum and number of infeasibilities (Dual).
void ClpSimplex::checkBothSolutions | ( | ) | [protected] |
This sets sum and number of infeasibilities (Dual and Primal).
void ClpSimplex::setValuesPassAction | ( | double | incomingInfeasibility, | |
double | allowedInfeasibility | |||
) |
For advanced use.
When doing iterative solves things can get nasty so on values pass if incoming solution has largest infeasibility < incomingInfeasibility throw out variables from basis until largest infeasibility < allowedInfeasibility or incoming largest infeasibility. If allowedInfeasibility>= incomingInfeasibility this is always possible altough you may end up with an all slack basis.
Defaults are 1.0,10.0
double ClpSimplex::alphaAccuracy | ( | ) | const [inline] |
Initial value for alpha accuracy calculation (-1.0 off).
Definition at line 715 of file ClpSimplex.hpp.
void ClpSimplex::setAlphaAccuracy | ( | double | value | ) | [inline] |
Initial value for alpha accuracy calculation (-1.0 off).
Definition at line 717 of file ClpSimplex.hpp.
void ClpSimplex::setDisasterHandler | ( | ClpDisasterHandler * | handler | ) | [inline] |
double ClpSimplex::largeValue | ( | ) | const [inline] |
void ClpSimplex::setLargeValue | ( | double | value | ) |
Initial value for alpha accuracy calculation (-1.0 off).
double ClpSimplex::largestPrimalError | ( | ) | const [inline] |
double ClpSimplex::largestDualError | ( | ) | const [inline] |
void ClpSimplex::setLargestPrimalError | ( | double | value | ) | [inline] |
void ClpSimplex::setLargestDualError | ( | double | value | ) | [inline] |
int* ClpSimplex::pivotVariable | ( | ) | const [inline] |
bool ClpSimplex::automaticScaling | ( | ) | const [inline] |
void ClpSimplex::setAutomaticScaling | ( | bool | onOff | ) | [inline] |
Initial value for alpha accuracy calculation (-1.0 off).
Definition at line 745 of file ClpSimplex.hpp.
double ClpSimplex::currentDualTolerance | ( | ) | const [inline] |
void ClpSimplex::setCurrentDualTolerance | ( | double | value | ) | [inline] |
Initial value for alpha accuracy calculation (-1.0 off).
Definition at line 750 of file ClpSimplex.hpp.
double ClpSimplex::currentPrimalTolerance | ( | ) | const [inline] |
void ClpSimplex::setCurrentPrimalTolerance | ( | double | value | ) | [inline] |
Initial value for alpha accuracy calculation (-1.0 off).
Definition at line 755 of file ClpSimplex.hpp.
int ClpSimplex::numberRefinements | ( | ) | const [inline] |
void ClpSimplex::setNumberRefinements | ( | int | value | ) |
Initial value for alpha accuracy calculation (-1.0 off).
double ClpSimplex::alpha | ( | ) | const [inline] |
Alpha (pivot element) for use by classes e.g. steepestedge.
Definition at line 762 of file ClpSimplex.hpp.
void ClpSimplex::setAlpha | ( | double | value | ) | [inline] |
Initial value for alpha accuracy calculation (-1.0 off).
Definition at line 763 of file ClpSimplex.hpp.
double ClpSimplex::dualIn | ( | ) | const [inline] |
Reduced cost of last incoming for use by classes e.g. steepestedge.
Definition at line 765 of file ClpSimplex.hpp.
int ClpSimplex::pivotRow | ( | ) | const [inline] |
void ClpSimplex::setPivotRow | ( | int | value | ) | [inline] |
Initial value for alpha accuracy calculation (-1.0 off).
Definition at line 768 of file ClpSimplex.hpp.
double ClpSimplex::valueIncomingDual | ( | ) | const |
value of incoming variable (in Dual)
int ClpSimplex::gutsOfSolution | ( | double * | givenDuals, | |
const double * | givenPrimals, | |||
bool | valuesPass = false | |||
) | [protected] |
May change basis and then returns number changed.
Computation of solutions may be overriden by given pi and solution
void ClpSimplex::gutsOfDelete | ( | int | type | ) | [protected] |
void ClpSimplex::gutsOfCopy | ( | const ClpSimplex & | rhs | ) | [protected] |
Does most of copying.
bool ClpSimplex::createRim | ( | int | what, | |
bool | makeRowCopy = false , |
|||
int | startFinishOptions = 0 | |||
) | [protected] |
puts in format I like (rowLower,rowUpper) also see StandardMatrix 1 bit does rows (now and columns), (2 bit does column bounds), 4 bit does objective(s).
8 bit does solution scaling in 16 bit does rowArray and columnArray indexed vectors and makes row copy if wanted, also sets columnStart_ etc Also creates scaling arrays if needed. It does scaling if needed. 16 also moves solutions etc in to work arrays On 16 returns false if problem "bad" i.e. matrix or bounds bad If startFinishOptions is -1 then called by user in getSolution so do arrays but keep pivotVariable_
void ClpSimplex::createRim1 | ( | bool | initial | ) | [protected] |
Does rows and columns.
void ClpSimplex::createRim4 | ( | bool | initial | ) | [protected] |
Does objective.
void ClpSimplex::createRim5 | ( | bool | initial | ) | [protected] |
Does rows and columns and objective.
void ClpSimplex::deleteRim | ( | int | getRidOfFactorizationData = 2 |
) | [protected] |
releases above arrays and does solution scaling out.
May also get rid of factorization data - 0 get rid of nothing, 1 get rid of arrays, 2 also factorization
bool ClpSimplex::sanityCheck | ( | ) | [protected] |
Sanity check on input rim data (after scaling) - returns true if okay.
double* ClpSimplex::solutionRegion | ( | int | section | ) | const [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 817 of file ClpSimplex.hpp.
double* ClpSimplex::djRegion | ( | int | section | ) | const [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 819 of file ClpSimplex.hpp.
double* ClpSimplex::lowerRegion | ( | int | section | ) | const [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 821 of file ClpSimplex.hpp.
double* ClpSimplex::upperRegion | ( | int | section | ) | const [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 823 of file ClpSimplex.hpp.
double* ClpSimplex::costRegion | ( | int | section | ) | const [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 825 of file ClpSimplex.hpp.
double* ClpSimplex::solutionRegion | ( | ) | const [inline] |
double* ClpSimplex::djRegion | ( | ) | const [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 830 of file ClpSimplex.hpp.
double* ClpSimplex::lowerRegion | ( | ) | const [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 832 of file ClpSimplex.hpp.
double* ClpSimplex::upperRegion | ( | ) | const [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 834 of file ClpSimplex.hpp.
double* ClpSimplex::costRegion | ( | ) | const [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 836 of file ClpSimplex.hpp.
Status ClpSimplex::getStatus | ( | int | sequence | ) | const [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 838 of file ClpSimplex.hpp.
void ClpSimplex::setStatus | ( | int | sequence, | |
Status | status | |||
) | [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 840 of file ClpSimplex.hpp.
bool ClpSimplex::startPermanentArrays | ( | ) |
void ClpSimplex::setInitialDenseFactorization | ( | bool | onOff | ) |
Normally the first factorization does sparse coding because the factorization could be singular.
This allows initial dense factorization when it is known to be safe
bool ClpSimplex::initialDenseFactorization | ( | ) | const |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
int ClpSimplex::sequenceIn | ( | ) | const [inline] |
int ClpSimplex::sequenceOut | ( | ) | const [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 857 of file ClpSimplex.hpp.
void ClpSimplex::setSequenceIn | ( | int | sequence | ) | [inline] |
void ClpSimplex::setSequenceOut | ( | int | sequence | ) | [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 862 of file ClpSimplex.hpp.
int ClpSimplex::directionIn | ( | ) | const [inline] |
int ClpSimplex::directionOut | ( | ) | const [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 867 of file ClpSimplex.hpp.
void ClpSimplex::setDirectionIn | ( | int | direction | ) | [inline] |
void ClpSimplex::setDirectionOut | ( | int | direction | ) | [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 872 of file ClpSimplex.hpp.
double ClpSimplex::valueOut | ( | ) | const [inline] |
int ClpSimplex::isColumn | ( | int | sequence | ) | const [inline] |
int ClpSimplex::sequenceWithin | ( | int | sequence | ) | const [inline] |
double ClpSimplex::solution | ( | int | sequence | ) | [inline] |
double& ClpSimplex::solutionAddress | ( | int | sequence | ) | [inline] |
double ClpSimplex::reducedCost | ( | int | sequence | ) | [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 889 of file ClpSimplex.hpp.
double& ClpSimplex::reducedCostAddress | ( | int | sequence | ) | [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 891 of file ClpSimplex.hpp.
double ClpSimplex::lower | ( | int | sequence | ) | [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 893 of file ClpSimplex.hpp.
double& ClpSimplex::lowerAddress | ( | int | sequence | ) | [inline] |
double ClpSimplex::upper | ( | int | sequence | ) | [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 898 of file ClpSimplex.hpp.
double& ClpSimplex::upperAddress | ( | int | sequence | ) | [inline] |
double ClpSimplex::cost | ( | int | sequence | ) | [inline] |
Return row or column sections - not as much needed as it once was.
These just map into single arrays
Definition at line 903 of file ClpSimplex.hpp.
double& ClpSimplex::costAddress | ( | int | sequence | ) | [inline] |
double ClpSimplex::originalLower | ( | int | iSequence | ) | const [inline] |
double ClpSimplex::originalUpper | ( | int | iSequence | ) | const [inline] |
double ClpSimplex::theta | ( | ) | const [inline] |
ClpNonLinearCost* ClpSimplex::nonLinearCost | ( | ) | const [inline] |
int ClpSimplex::moreSpecialOptions | ( | ) | const [inline] |
Return more special options 1 bit - if presolve says infeasible in ClpSolve return 2 bit - if presolved problem infeasible return 4 bit - keep arrays like upper_ around 8 bit - if factorization kept can still declare optimal at once.
Definition at line 928 of file ClpSimplex.hpp.
void ClpSimplex::setMoreSpecialOptions | ( | int | value | ) | [inline] |
Set more special options 1 bit - if presolve says infeasible in ClpSolve return 2 bit - if presolved problem infeasible return 4 bit - keep arrays like upper_ around.
Definition at line 935 of file ClpSimplex.hpp.
void ClpSimplex::setFakeBound | ( | int | sequence, | |
FakeBound | fakeBound | |||
) | [inline] |
To flag a variable (not inline to allow for column generation).
Definition at line 940 of file ClpSimplex.hpp.
FakeBound ClpSimplex::getFakeBound | ( | int | sequence | ) | const [inline] |
To flag a variable (not inline to allow for column generation).
Definition at line 946 of file ClpSimplex.hpp.
void ClpSimplex::setRowStatus | ( | int | sequence, | |
Status | status | |||
) | [inline] |
To flag a variable (not inline to allow for column generation).
Definition at line 948 of file ClpSimplex.hpp.
Status ClpSimplex::getRowStatus | ( | int | sequence | ) | const [inline] |
To flag a variable (not inline to allow for column generation).
Definition at line 954 of file ClpSimplex.hpp.
void ClpSimplex::setColumnStatus | ( | int | sequence, | |
Status | status | |||
) | [inline] |
To flag a variable (not inline to allow for column generation).
Definition at line 956 of file ClpSimplex.hpp.
Status ClpSimplex::getColumnStatus | ( | int | sequence | ) | const [inline] |
To flag a variable (not inline to allow for column generation).
Definition at line 962 of file ClpSimplex.hpp.
void ClpSimplex::setPivoted | ( | int | sequence | ) | [inline] |
To flag a variable (not inline to allow for column generation).
Definition at line 964 of file ClpSimplex.hpp.
void ClpSimplex::clearPivoted | ( | int | sequence | ) | [inline] |
To flag a variable (not inline to allow for column generation).
Definition at line 966 of file ClpSimplex.hpp.
bool ClpSimplex::pivoted | ( | int | sequence | ) | const [inline] |
To flag a variable (not inline to allow for column generation).
Definition at line 968 of file ClpSimplex.hpp.
void ClpSimplex::setFlagged | ( | int | sequence | ) |
To flag a variable (not inline to allow for column generation).
void ClpSimplex::clearFlagged | ( | int | sequence | ) | [inline] |
To flag a variable (not inline to allow for column generation).
Definition at line 972 of file ClpSimplex.hpp.
bool ClpSimplex::flagged | ( | int | sequence | ) | const [inline] |
To flag a variable (not inline to allow for column generation).
Definition at line 976 of file ClpSimplex.hpp.
void ClpSimplex::setActive | ( | int | iRow | ) | [inline] |
void ClpSimplex::clearActive | ( | int | iRow | ) | [inline] |
To flag a variable (not inline to allow for column generation).
Definition at line 983 of file ClpSimplex.hpp.
bool ClpSimplex::active | ( | int | iRow | ) | const [inline] |
To flag a variable (not inline to allow for column generation).
Definition at line 987 of file ClpSimplex.hpp.
void ClpSimplex::createStatus | ( | ) |
Set up status array (can be used by OsiClp).
Also can be used to set up all slack basis
void ClpSimplex::allSlackBasis | ( | bool | resetSolution = false |
) |
Sets up all slack basis and resets solution to as it was after initial load or readMps.
int ClpSimplex::lastBadIteration | ( | ) | const [inline] |
int ClpSimplex::progressFlag | ( | ) | const [inline] |
Progress flag - at present 0 bit says artificials out.
Definition at line 1000 of file ClpSimplex.hpp.
void ClpSimplex::forceFactorization | ( | int | value | ) | [inline] |
double ClpSimplex::rawObjectiveValue | ( | ) | const [inline] |
Raw objective value (so always minimize in primal).
Reimplemented from ClpModel.
Definition at line 1006 of file ClpSimplex.hpp.
void ClpSimplex::computeObjectiveValue | ( | bool | useWorkingSolution = false |
) |
Compute objective value from solution and put in objectiveValue_.
double ClpSimplex::computeInternalObjectiveValue | ( | ) |
Compute minimization objective value from internal solution without perturbation.
int ClpSimplex::numberExtraRows | ( | ) | const [inline] |
Number of extra rows.
These are ones which will be dynamically created each iteration. This is for GUB but may have other uses.
Definition at line 1015 of file ClpSimplex.hpp.
int ClpSimplex::maximumBasic | ( | ) | const [inline] |
Maximum number of basic variables - can be more than number of rows if GUB.
Definition at line 1019 of file ClpSimplex.hpp.
int ClpSimplex::baseIteration | ( | ) | const [inline] |
void ClpSimplex::generateCpp | ( | FILE * | fp, | |
bool | defaultFactor = false | |||
) |
Create C++ lines to get to current state.
ClpFactorization* ClpSimplex::getEmptyFactorization | ( | ) |
Gets clean and emptyish factorization.
void ClpSimplex::setEmptyFactorization | ( | ) |
May delete or may make clean and emptyish factorization.
void ClpSimplex::moveInfo | ( | const ClpSimplex & | rhs, | |
bool | justStatus = false | |||
) |
Move status and solution across.
void ClpSimplex::getBInvARow | ( | int | row, | |
double * | z, | |||
double * | slack = NULL | |||
) |
Get a row of the tableau (slack part in slack if not NULL).
void ClpSimplex::getBInvRow | ( | int | row, | |
double * | z | |||
) |
Get a row of the basis inverse.
void ClpSimplex::getBInvACol | ( | int | col, | |
double * | vec | |||
) |
Get a column of the tableau.
void ClpSimplex::getBInvCol | ( | int | col, | |
double * | vec | |||
) |
Get a column of the basis inverse.
void ClpSimplex::getBasics | ( | int * | index | ) |
Get basic indices (order of indices corresponds to the order of elements in a vector retured by getBInvACol() and getBInvCol()).
void ClpSimplex::setObjectiveCoefficient | ( | int | elementIndex, | |
double | elementValue | |||
) |
void ClpSimplex::setObjCoeff | ( | int | elementIndex, | |
double | elementValue | |||
) | [inline] |
Set an objective function coefficient.
Reimplemented from ClpModel.
Definition at line 1063 of file ClpSimplex.hpp.
void ClpSimplex::setColumnLower | ( | int | elementIndex, | |
double | elementValue | |||
) |
void ClpSimplex::setColumnUpper | ( | int | elementIndex, | |
double | elementValue | |||
) |
void ClpSimplex::setColumnBounds | ( | int | elementIndex, | |
double | lower, | |||
double | upper | |||
) |
void ClpSimplex::setColumnSetBounds | ( | const int * | indexFirst, | |
const int * | indexLast, | |||
const double * | boundList | |||
) |
Set the bounds on a number of columns simultaneously
The default implementation just invokes setColLower() and setColUpper() over and over again.
indexFirst,indexLast | pointers to the beginning and after the end of the array of the indices of the variables whose either bound changes | |
boundList | the new lower/upper bound pairs for the variables |
Reimplemented from ClpModel.
void ClpSimplex::setColLower | ( | int | elementIndex, | |
double | elementValue | |||
) | [inline] |
Set a single column lower bound
Use -DBL_MAX for -infinity.
Reimplemented from ClpModel.
Definition at line 1092 of file ClpSimplex.hpp.
void ClpSimplex::setColUpper | ( | int | elementIndex, | |
double | elementValue | |||
) | [inline] |
Set a single column upper bound
Use DBL_MAX for infinity.
Reimplemented from ClpModel.
Definition at line 1096 of file ClpSimplex.hpp.
void ClpSimplex::setColBounds | ( | int | elementIndex, | |
double | lower, | |||
double | upper | |||
) | [inline] |
Set a single column lower and upper bound.
Reimplemented from ClpModel.
Definition at line 1100 of file ClpSimplex.hpp.
void ClpSimplex::setColSetBounds | ( | const int * | indexFirst, | |
const int * | indexLast, | |||
const double * | boundList | |||
) | [inline] |
Set the bounds on a number of columns simultaneously
.
indexFirst,indexLast | pointers to the beginning and after the end of the array of the indices of the variables whose either bound changes | |
boundList | the new lower/upper bound pairs for the variables |
Reimplemented from ClpModel.
Definition at line 1110 of file ClpSimplex.hpp.
void ClpSimplex::setRowLower | ( | int | elementIndex, | |
double | elementValue | |||
) |
void ClpSimplex::setRowUpper | ( | int | elementIndex, | |
double | elementValue | |||
) |
void ClpSimplex::setRowBounds | ( | int | elementIndex, | |
double | lower, | |||
double | upper | |||
) |
void ClpSimplex::setRowSetBounds | ( | const int * | indexFirst, | |
const int * | indexLast, | |||
const double * | boundList | |||
) |
Set the bounds on a number of rows simultaneously
.
indexFirst,indexLast | pointers to the beginning and after the end of the array of the indices of the constraints whose either bound changes | |
boundList | the new lower/upper bound pairs for the constraints |
Reimplemented from ClpModel.
friend class OsiClpSolverInterface [friend] |
void ClpSimplexUnitTest | ( | const std::string & | mpsDir | ) | [friend] |
A function that tests the methods in the ClpSimplex class.
The only reason for it not to be a member method is that this way it doesn't have to be compiled into the library. And that's a gain, because the library should be compiled with optimization on, but this method should be compiled with debugging.
It also does some testing of ClpFactorization class
double ClpSimplex::columnPrimalInfeasibility_ [protected] |
double ClpSimplex::rowPrimalInfeasibility_ [protected] |
int ClpSimplex::columnPrimalSequence_ [protected] |
int ClpSimplex::rowPrimalSequence_ [protected] |
double ClpSimplex::columnDualInfeasibility_ [protected] |
double ClpSimplex::rowDualInfeasibility_ [protected] |
int ClpSimplex::moreSpecialOptions_ [protected] |
int ClpSimplex::baseIteration_ [protected] |
double ClpSimplex::primalToleranceToGetOptimal_ [protected] |
Primal tolerance needed to make dual feasible (<largeTolerance).
Definition at line 1165 of file ClpSimplex.hpp.
double ClpSimplex::remainingDualInfeasibility_ [protected] |
double ClpSimplex::largeValue_ [protected] |
double ClpSimplex::largestPrimalError_ [protected] |
double ClpSimplex::largestDualError_ [protected] |
double ClpSimplex::alphaAccuracy_ [protected] |
double ClpSimplex::dualBound_ [protected] |
double ClpSimplex::alpha_ [protected] |
double ClpSimplex::theta_ [protected] |
double ClpSimplex::lowerIn_ [protected] |
double ClpSimplex::valueIn_ [protected] |
double ClpSimplex::upperIn_ [protected] |
double ClpSimplex::dualIn_ [protected] |
double ClpSimplex::lowerOut_ [protected] |
double ClpSimplex::valueOut_ [protected] |
double ClpSimplex::upperOut_ [protected] |
double ClpSimplex::dualOut_ [protected] |
double ClpSimplex::dualTolerance_ [protected] |
double ClpSimplex::primalTolerance_ [protected] |
double ClpSimplex::sumDualInfeasibilities_ [protected] |
double ClpSimplex::sumPrimalInfeasibilities_ [protected] |
double ClpSimplex::infeasibilityCost_ [protected] |
double ClpSimplex::sumOfRelaxedDualInfeasibilities_ [protected] |
Sum of Dual infeasibilities using tolerance based on error in duals.
Definition at line 1209 of file ClpSimplex.hpp.
double ClpSimplex::sumOfRelaxedPrimalInfeasibilities_ [protected] |
Sum of Primal infeasibilities using tolerance based on error in primals.
Definition at line 1211 of file ClpSimplex.hpp.
double ClpSimplex::acceptablePivot_ [protected] |
double* ClpSimplex::lower_ [protected] |
Working copy of lower bounds (Owner of arrays below).
Definition at line 1215 of file ClpSimplex.hpp.
double* ClpSimplex::rowLowerWork_ [protected] |
double* ClpSimplex::columnLowerWork_ [protected] |
double* ClpSimplex::upper_ [protected] |
Working copy of upper bounds (Owner of arrays below).
Definition at line 1221 of file ClpSimplex.hpp.
double* ClpSimplex::rowUpperWork_ [protected] |
double* ClpSimplex::columnUpperWork_ [protected] |
double* ClpSimplex::cost_ [protected] |
double* ClpSimplex::rowObjectiveWork_ [protected] |
double* ClpSimplex::objectiveWork_ [protected] |
CoinIndexedVector* ClpSimplex::rowArray_[6] [protected] |
CoinIndexedVector* ClpSimplex::columnArray_[6] [protected] |
int ClpSimplex::sequenceIn_ [protected] |
int ClpSimplex::directionIn_ [protected] |
Direction of In, 1 going up, -1 going down, 0 not a clude.
Definition at line 1239 of file ClpSimplex.hpp.
int ClpSimplex::sequenceOut_ [protected] |
int ClpSimplex::directionOut_ [protected] |
Direction of Out, 1 to upper bound, -1 to lower bound, 0 - superbasic.
Definition at line 1243 of file ClpSimplex.hpp.
int ClpSimplex::pivotRow_ [protected] |
int ClpSimplex::lastGoodIteration_ [protected] |
Last good iteration (immediately after a re-factorization).
Definition at line 1247 of file ClpSimplex.hpp.
double* ClpSimplex::dj_ [protected] |
Working copy of reduced costs (Owner of arrays below).
Definition at line 1249 of file ClpSimplex.hpp.
double* ClpSimplex::rowReducedCost_ [protected] |
Reduced costs of slacks not same as duals (or - duals).
Definition at line 1251 of file ClpSimplex.hpp.
double* ClpSimplex::reducedCostWork_ [protected] |
double* ClpSimplex::solution_ [protected] |
Working copy of primal solution (Owner of arrays below).
Definition at line 1255 of file ClpSimplex.hpp.
double* ClpSimplex::rowActivityWork_ [protected] |
double* ClpSimplex::columnActivityWork_ [protected] |
ClpSimplex* ClpSimplex::auxiliaryModel_ [protected] |
int ClpSimplex::numberDualInfeasibilities_ [protected] |
int ClpSimplex::numberDualInfeasibilitiesWithoutFree_ [protected] |
int ClpSimplex::numberPrimalInfeasibilities_ [protected] |
int ClpSimplex::numberRefinements_ [protected] |
ClpDualRowPivot* ClpSimplex::dualRowPivot_ [protected] |
ClpPrimalColumnPivot* ClpSimplex::primalColumnPivot_ [protected] |
int* ClpSimplex::pivotVariable_ [protected] |
ClpFactorization* ClpSimplex::factorization_ [protected] |
double* ClpSimplex::savedSolution_ [protected] |
int ClpSimplex::numberTimesOptimal_ [protected] |
Number of times code has tentatively thought optimal.
Definition at line 1281 of file ClpSimplex.hpp.
ClpDisasterHandler* ClpSimplex::disasterArea_ [protected] |
int ClpSimplex::changeMade_ [protected] |
If change has been made (first attempt at stopping looping).
Definition at line 1285 of file ClpSimplex.hpp.
int ClpSimplex::algorithm_ [protected] |
int ClpSimplex::forceFactorization_ [protected] |
Now for some reliability aids This forces re-factorization early.
Definition at line 1290 of file ClpSimplex.hpp.
int ClpSimplex::perturbation_ [protected] |
Perturbation: -50 to +50 - perturb by this power of ten (-6 sounds good) 100 - auto perturb if takes too long (1.0e-6 largest nonzero) 101 - we are perturbed 102 - don't try perturbing again default is 100.
Definition at line 1298 of file ClpSimplex.hpp.
unsigned char* ClpSimplex::saveStatus_ [protected] |
ClpNonLinearCost* ClpSimplex::nonLinearCost_ [protected] |
Very wasteful way of dealing with infeasibilities in primal.
However it will allow non-linearities and use of dual analysis. If it doesn't work it can easily be replaced.
Definition at line 1305 of file ClpSimplex.hpp.
int ClpSimplex::lastBadIteration_ [protected] |
int ClpSimplex::lastFlaggedIteration_ [protected] |
int ClpSimplex::numberFake_ [protected] |
Can be used for count of fake bounds (dual) or fake costs (primal).
Definition at line 1311 of file ClpSimplex.hpp.
int ClpSimplex::numberChanged_ [protected] |
Can be used for count of changed costs (dual) or changed bounds (primal).
Definition at line 1313 of file ClpSimplex.hpp.
int ClpSimplex::progressFlag_ [protected] |
Progress flag - at present 0 bit says artificials out, 1 free in.
Definition at line 1315 of file ClpSimplex.hpp.
int ClpSimplex::firstFree_ [protected] |
int ClpSimplex::numberExtraRows_ [protected] |
Number of extra rows.
These are ones which will be dynamically created each iteration. This is for GUB but may have other uses.
Definition at line 1321 of file ClpSimplex.hpp.
int ClpSimplex::maximumBasic_ [protected] |
Maximum number of basic variables - can be more than number of rows if GUB.
Definition at line 1324 of file ClpSimplex.hpp.
int ClpSimplex::dontFactorizePivots_ [protected] |
If may skip final factorize then allow up to this pivots (default 20).
Definition at line 1326 of file ClpSimplex.hpp.
double ClpSimplex::incomingInfeasibility_ [protected] |
For advanced use.
When doing iterative solves things can get nasty so on values pass if incoming solution has largest infeasibility < incomingInfeasibility throw out variables from basis until largest infeasibility < allowedInfeasibility. if allowedInfeasibility>= incomingInfeasibility this is always possible altough you may end up with an all slack basis.
Defaults are 1.0,10.0
Definition at line 1336 of file ClpSimplex.hpp.
double ClpSimplex::allowedInfeasibility_ [protected] |
int ClpSimplex::automaticScale_ [protected] |
ClpSimplex* ClpSimplex::baseModel_ [protected] |
A copy of model with certain state - normally without cuts.
Definition at line 1341 of file ClpSimplex.hpp.
ClpSimplexProgress ClpSimplex::progress_ [protected] |
int ClpSimplex::spareIntArray_[4] [mutable] |
Spare int array for passing information [0]!=0 switches on.
Definition at line 1346 of file ClpSimplex.hpp.
double ClpSimplex::spareDoubleArray_[4] [mutable] |
Spare double array for passing information [0]!=0 switches on.
Definition at line 1348 of file ClpSimplex.hpp.