SCIP
Solving Constraint Integer Programs
Detailed Description
NLP management methods and datastructures.
In NLP management, we have to differ between the current NLP and the NLPI problem stored in the NLP solver. All NLP methods affect the current NLP only. Before solving the current NLP with the NLP solver, the NLP solvers data has to be updated to the current NLP with a call to nlpFlush().
Definition in file nlp.c.
#include "nlpi/nlpi.h"#include "nlpi/pub_expr.h"#include "nlpi/struct_expr.h"#include "scip/clock.h"#include "scip/event.h"#include "scip/intervalarith.h"#include "scip/nlp.h"#include "scip/primal.h"#include "scip/pub_event.h"#include "scip/pub_lp.h"#include "scip/pub_message.h"#include "scip/pub_misc.h"#include "scip/pub_misc_sort.h"#include "scip/pub_nlp.h"#include "scip/pub_var.h"#include "scip/set.h"#include "scip/sol.h"#include "scip/struct_nlp.h"#include "scip/struct_scip.h"#include "scip/struct_set.h"#include "scip/struct_stat.h"#include "scip/var.h"#include <string.h>Go to the source code of this file.
Macros | |
| #define | EVENTHDLR_NAME "nlpEventHdlr" |
| #define | EVENTHDLR_DESC "handles all events necessary for maintaining NLP data" |
| #define | ADDNAMESTONLPI 0 |
Macro Definition Documentation
◆ EVENTHDLR_NAME
| #define EVENTHDLR_NAME "nlpEventHdlr" |
name of NLP event handler that catches variable events
Definition at line 60 of file nlp.c.
Referenced by SCIPnlpCreate(), and SCIPnlpInclude().
◆ EVENTHDLR_DESC
| #define EVENTHDLR_DESC "handles all events necessary for maintaining NLP data" |
description of NLP event handler
Definition at line 61 of file nlp.c.
Referenced by SCIPnlpInclude().
◆ ADDNAMESTONLPI
| #define ADDNAMESTONLPI 0 |
Function Documentation
◆ SCIPblkmem()
| BMS_BLKMEM* SCIPblkmem | ( | SCIP * | scip | ) |
returns block memory to use at the current time
- Returns
- the block memory to use at the current time.
- Parameters
-
scip SCIP data structure
Definition at line 128 of file scip_mem.c.
Referenced by addBranchingComplementaritiesSOS1(), addVarCardinality(), appendVarCardinality(), applyHeur(), applyNlobbt(), buildMod2Matrix(), checkConsnames(), checkCurvature(), checkOverloadViaThetaTree(), checkSystemGF2(), checkVarnames(), collectBranchingCands(), computeComponents(), computeED(), computeInteriorPoint(), computeSymmetryGroup(), consdataAddExprtrees(), copyConsPseudoboolean(), copyProb(), copyVars(), createAndSplitProblem(), createConsFromQuadTerm(), createCoveringProblem(), createExprtreeFromMonomial(), createMasterVarMapping(), createNLP(), createNlRow(), createPattern(), createReaderdata(), createStartingData(), createSubSCIP(), createTcliqueGraph(), createVariableMappings(), destroyMod2Matrix(), doCopy(), doScipCreate(), doSeparation(), doSolveSubMIP(), enforceConflictgraph(), findCumulativeConss(), freeSubSCIP(), generate1ConvexIndefiniteUnderestimatorInTheInteriorPatternA(), generate1ConvexIndefiniteUnderestimatorInTheInteriorPatternB(), generateOrthogonal_lx_ly_Underestimator(), generateOrthogonal_lx_uy_Underestimator(), generateUnderestimatorParallelYFacets(), getSymmetries(), heurExec(), initAlternativeLP(), initConcsolver(), initConflictgraph(), initData(), inithashmapandtable(), initImplGraphSOS1(), initPropdata(), initSepaData(), initSepaDataCreateVred(), mod2MatrixAddCol(), mod2MatrixAddTransRow(), mod2matrixPreprocessColumns(), mod2matrixPreprocessRows(), mod2matrixRemoveCol(), mod2rowAddRow(), nodepairqueueCreate(), preprocessCliques(), presoldataInitHashtables(), presolRoundVarsSOS1(), presolveDisaggregate(), presolveFindDuplicates(), readExpression(), readNonlinearExprs(), readPolynomial(), reformMonomial(), reformulate(), relabelOrderConsistent(), removeDoubleAndSingletonsAndPerformDualpresolve(), removeFixedVariables(), removeRedundantConssAndNonzeros(), SCIP_DECL_CONSCOPY(), SCIP_DECL_CONSINITPRE(), SCIP_DECL_CONSINITSOL(), SCIP_DECL_CONSPARSE(), SCIP_DECL_CONSPRESOL(), SCIP_DECL_CONSTRANS(), SCIP_DECL_EVENTEXEC(), SCIP_DECL_EXPRGRAPHNODEREFORM(), SCIP_DECL_HEUREXEC(), SCIP_DECL_HEURINIT(), SCIP_DECL_PARAMCHGD(), SCIP_DECL_PRESOLEXEC(), SCIP_DECL_PROPEXITSOL(), SCIP_DECL_PROPINITSOL(), SCIP_DECL_READERREAD(), SCIP_DECL_READERWRITE(), SCIP_DECL_RELAXEXEC(), SCIP_DECL_SEPAEXECLP(), SCIPaddNlRow(), SCIPaddObjoffset(), SCIPapplyProximity(), SCIPbenderscutExit(), SCIPbenderscutInit(), SCIPbenderscutStoreCons(), SCIPbenderscutStoreCut(), SCIPbendersMergeSubproblemIntoMaster(), SCIPcalcCliquePartition(), SCIPchgConsName(), SCIPchgVarName(), SCIPchgVarObjDiveNLP(), SCIPcopyConflicts(), SCIPcopyConss(), SCIPcopyOrigConss(), SCIPcreateBanditEpsgreedy(), SCIPcreateBanditExp3(), SCIPcreateBanditUcb(), SCIPcreateBoolarray(), SCIPcreateConsBivariate(), SCIPcreateConsCardinality(), SCIPcreateConsIndicator(), SCIPcreateConsLinking(), SCIPcreateConsQuadratic(), SCIPcreateIntarray(), SCIPcreatePtrarray(), SCIPcreateRandom(), SCIPcreateRealarray(), SCIPcreateWorstCaseProfile(), SCIPendDiveNLP(), SCIPfreeBandit(), SCIPfreeRandom(), SCIPgetConsCopy(), SCIPgetNLPFracVars(), SCIPgetVarCopy(), SCIPincludeConshdlrBivariate(), SCIPincludeConshdlrNonlinear(), SCIPincludeDefaultPlugins(), SCIPincrementConcurrentTime(), SCIPinitVarValueBranchStats(), SCIPremoveVarFromGlobalStructures(), SCIPsetNLPInitialGuess(), SCIPsetNLPInitialGuessSol(), SCIPsolveDiveNLP(), SCIPsolveNLP(), SCIPstartDiveNLP(), SCIPvariableGraphCreate(), SCIPvisualizeConsCumulative(), SCIPwriteCliqueGraph(), SCIPwriteLp(), SCIPwriteMps(), SCIPwritePip(), searchEcAggrWithCliques(), setupAndSolve(), setupAndSolveFiniteSolSubscip(), setupAndSolveSubscip(), setupAndSolveSubscipCrossover(), setupAndSolveSubscipLocalbranching(), setupAndSolveSubscipMutation(), setupAndSolveSubscipOneopt(), setupAndSolveSubscipRapidlearning(), setUpEvents(), setupProbingSCIP(), setupProblem(), setupSubscipLpface(), solveSubproblem(), warmStartInfoIsReadable(), wrapperDins(), wrapperRins(), writeBounds(), writeOpb(), and writeOpbConstraints().
◆ SCIP_DECL_EVENTEXEC()
|
static |
NLP event handler execution method
event handling for variable events
Definition at line 4982 of file nlp.c.
References nlpRemoveFixedVar(), nlpUpdateObjCoef(), nlpUpdateVarBounds(), NULL, SCIP_Bool, SCIP_CALL, SCIP_ERROR, SCIP_EVENTTYPE_BOUNDCHANGED, SCIP_EVENTTYPE_BOUNDTIGHTENED, SCIP_EVENTTYPE_FORMAT, SCIP_EVENTTYPE_OBJCHANGED, SCIP_EVENTTYPE_VARADDED, SCIP_EVENTTYPE_VARDELETED, SCIP_EVENTTYPE_VARFIXED, SCIP_OKAY, SCIPblkmem(), SCIPdebugMessage, SCIPerrorMessage, SCIPeventGetType(), SCIPeventGetVar(), SCIPnlpAddVar(), SCIPnlpDelVar(), and SCIPvarGetName().
◆ nlpRowChanged()
|
static |
announces, that a row of the NLP was modified adjusts status of current solution calling method has to ensure that change is passed to the NLPI!
- Parameters
-
nlp current NLP data set global SCIP settings stat problem statistics data nlrow nonlinear row which was changed
Definition at line 3463 of file nlp.c.
References SCIP_Nlp::indiving, SCIP_NlRow::nlpindex, NULL, SCIP_CALL, SCIP_NLPSOLSTAT_FEASIBLE, SCIP_NLPSOLSTAT_LOCINFEASIBLE, SCIP_NLPSOLSTAT_UNKNOWN, SCIP_OKAY, SCIP_Real, SCIPnlrowGetNLPFeasibility(), SCIPsetIsFeasNegative(), and SCIP_Nlp::solstat.
Referenced by nlrowConstantChanged(), nlrowExprtreeChanged(), nlrowExprtreeParamChanged(), nlrowLinearCoefChanged(), nlrowQuadElemChanged(), and nlrowSideChanged().
◆ SCIPexprtreeRemoveFixedVars()
| SCIP_RETCODE SCIPexprtreeRemoveFixedVars | ( | SCIP_EXPRTREE * | tree, |
| SCIP_SET * | set, | ||
| SCIP_Bool * | changed, | ||
| int * | varpos, | ||
| int * | newvarsstart | ||
| ) |
removes fixed variables from an expression tree, so that at exit all variables are active
- Parameters
-
tree expression tree set global SCIP settings changed buffer to store whether the tree was changed, i.e., whether there was a fixed variable varpos array of length at least tree->nvars to store new indices of previously existing variables in expression tree, or -1 if variable was removed; set to NULL if not of interest newvarsstart buffer to store index in tree->vars array where new variables begin, or NULL if not of interest
Definition at line 224 of file nlp.c.
References SCIP_ExprTree::blkmem, BMSallocBlockMemoryArray, BMSclearMemoryArray, BMSfreeBlockMemoryArray, BMSreallocBlockMemoryArray, FALSE, NULL, SCIP_ExprTree::nvars, SCIP_ExprTree::root, SCIP_ALLOC, SCIP_Bool, SCIP_CALL, SCIP_EXPR_CONST, SCIP_EXPR_VARIDX, SCIP_OKAY, SCIP_Real, SCIP_VARSTATUS_MULTAGGR, SCIPexprCreate(), SCIPexprCreateLinear(), SCIPexprFreeDeep(), SCIPexprReindexVars(), SCIPexprtreeAddVars(), SCIPexprtreeRemoveFixedVars(), SCIPexprtreeSubstituteVars(), SCIPhashmapCreate(), SCIPhashmapExists(), SCIPhashmapFree(), SCIPhashmapGetImage(), SCIPhashmapInsert(), SCIPvarGetMultaggrConstant(), SCIPvarGetMultaggrNVars(), SCIPvarGetMultaggrScalars(), SCIPvarGetMultaggrVars(), SCIPvarGetProbvarSum(), SCIPvarGetStatus(), SCIPvarIsActive(), TRUE, and SCIP_ExprTree::vars.
Referenced by nlrowRemoveFixedExprtreeVars(), SCIPexprtreeRemoveFixedVars(), and SCIPnlrowChgExprtree().
◆ nlrowLinearCoefChanged()
|
static |
announces, that the given linear coefficient in the constraint matrix changed
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics data var variable which coefficient changed coef new coefficient of variable, 0.0 if deleted nlp current NLP data
Definition at line 497 of file nlp.c.
References SCIP_NlRow::activity, SCIP_NlRow::maxactivity, SCIP_NlRow::minactivity, SCIP_NlRow::nlpiindex, SCIP_NlRow::nlpindex, nlpRowChanged(), NULL, SCIP_Nlp::problem, SCIP_NlRow::pseudoactivity, SCIP_CALL, SCIP_INVALID, SCIP_OKAY, SCIPhashmapExists(), SCIPhashmapGetImage(), SCIPnlpiChgLinearCoefs(), SCIP_Nlp::solver, SCIP_NlRow::validactivitybdsdomchg, SCIP_NlRow::validactivitynlp, SCIP_NlRow::validpsactivitydomchg, SCIP_Nlp::varhash, and SCIP_Nlp::varmap_nlp2nlpi.
Referenced by nlrowAddLinearCoef(), nlrowChgLinearCoefPos(), nlrowDelLinearCoefPos(), and nlrowRemoveFixedLinearCoefPos().
◆ nlrowQuadElemChanged()
|
static |
announces, that an element in the quadratic part of a nonlinear row changed
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics data quadelem new element (variable indices and new values), quadelem.coef == 0 if it was deleted nlp current NLP data
Definition at line 547 of file nlp.c.
References SCIP_NlRow::activity, SCIP_QuadElement::coef, SCIP_QuadElement::idx1, SCIP_QuadElement::idx2, SCIP_NlRow::maxactivity, SCIP_NlRow::minactivity, SCIP_NlRow::nlpiindex, SCIP_NlRow::nlpindex, nlpRowChanged(), SCIP_NlRow::nquadvars, NULL, SCIP_Nlp::nvars, SCIP_Nlp::nvars_solver, SCIP_Nlp::problem, SCIP_NlRow::pseudoactivity, SCIP_NlRow::quadvars, SCIP_CALL, SCIP_INVALID, SCIP_OKAY, SCIPhashmapExists(), SCIPhashmapGetImage(), SCIPnlpiChgQuadCoefs(), SCIP_Nlp::solver, SCIP_NlRow::validactivitybdsdomchg, SCIP_NlRow::validactivitynlp, SCIP_NlRow::validpsactivitydomchg, SCIP_Nlp::varhash, and SCIP_Nlp::varmap_nlp2nlpi.
Referenced by nlrowAddQuadElement(), nlrowChgQuadElemPos(), and nlrowDelQuadElemPos().
◆ nlrowExprtreeChanged()
|
static |
announces, that an expression tree changed
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics data nlp current NLP data
Definition at line 620 of file nlp.c.
References SCIP_NlRow::activity, SCIP_NlRow::exprtree, SCIP_NlRow::maxactivity, SCIP_NlRow::minactivity, SCIP_NlRow::nlpiindex, SCIP_NlRow::nlpindex, nlpRowChanged(), NULL, SCIP_Nlp::problem, SCIP_NlRow::pseudoactivity, SCIP_CALL, SCIP_INVALID, SCIP_OKAY, SCIPexprtreeGetNVars(), SCIPexprtreeGetVars(), SCIPhashmapExists(), SCIPhashmapGetImage(), SCIPnlpiChgExprtree(), SCIPsetAllocBufferArray, SCIPsetFreeBufferArray, SCIPvarIsActive(), SCIP_Nlp::solver, SCIP_NlRow::validactivitybdsdomchg, SCIP_NlRow::validactivitynlp, SCIP_NlRow::validpsactivitydomchg, SCIP_Nlp::varhash, and SCIP_Nlp::varmap_nlp2nlpi.
Referenced by nlrowRemoveFixedExprtreeVars(), and SCIPnlrowChgExprtree().
◆ nlrowExprtreeParamChanged()
|
static |
announces, that a parameter in an expression tree has changed
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics data paramidx index of parameter which has changed, or -1 if all changed nlp current NLP data
Definition at line 687 of file nlp.c.
References SCIP_NlRow::activity, SCIP_NlRow::exprtree, SCIP_NlRow::maxactivity, SCIP_NlRow::minactivity, SCIP_NlRow::nlpiindex, SCIP_NlRow::nlpindex, nlpRowChanged(), NULL, SCIP_Nlp::problem, SCIP_NlRow::pseudoactivity, SCIP_CALL, SCIP_INVALID, SCIP_OKAY, SCIP_Real, SCIPexprtreeGetNParams(), SCIPexprtreeGetParamVals(), SCIPnlpiChgNonlinCoef(), SCIP_Nlp::solver, SCIP_NlRow::validactivitybdsdomchg, SCIP_NlRow::validactivitynlp, and SCIP_NlRow::validpsactivitydomchg.
Referenced by SCIPnlrowChgExprtreeParam(), and SCIPnlrowChgExprtreeParams().
◆ nlrowSideChanged()
|
static |
notifies nonlinear row, that its sides were changed
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics data nlp current NLP data
Definition at line 744 of file nlp.c.
References SCIP_NlRow::constant, SCIP_NlRow::lhs, SCIP_NlRow::nlpiindex, SCIP_NlRow::nlpindex, nlpRowChanged(), NULL, SCIP_Nlp::problem, SCIP_NlRow::rhs, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIPnlpiChgConsSides(), SCIPsetIsInfinity(), and SCIP_Nlp::solver.
Referenced by SCIPnlrowChgLhs(), and SCIPnlrowChgRhs().
◆ nlrowConstantChanged()
|
static |
notifies nonlinear row, that its constant was changed
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics data nlp current NLP data
Definition at line 782 of file nlp.c.
References SCIP_NlRow::activity, SCIP_NlRow::constant, SCIP_NlRow::lhs, SCIP_NlRow::maxactivity, SCIP_NlRow::minactivity, SCIP_NlRow::nlpiindex, SCIP_NlRow::nlpindex, nlpRowChanged(), NULL, SCIP_Nlp::problem, SCIP_NlRow::pseudoactivity, SCIP_NlRow::rhs, SCIP_CALL, SCIP_INVALID, SCIP_OKAY, SCIP_Real, SCIPnlpiChgConsSides(), SCIPsetIsInfinity(), SCIP_Nlp::solver, SCIP_NlRow::validactivitybdsdomchg, SCIP_NlRow::validactivitynlp, and SCIP_NlRow::validpsactivitydomchg.
Referenced by nlrowAddToLinearCoef(), nlrowRemoveFixedLinearCoefPos(), nlrowRemoveFixedQuadVars(), and SCIPnlrowChgConstant().
◆ nlrowSortLinear()
|
static |
sorts linear part of row entries such that lower variable indices precede higher ones
- Parameters
-
nlrow nonlinear row to be sorted
Definition at line 828 of file nlp.c.
References SCIP_NlRow::lincoefs, SCIP_NlRow::linvars, SCIP_NlRow::linvarssorted, SCIP_NlRow::nlinvars, NULL, SCIPsortPtrReal(), and TRUE.
Referenced by nlrowSearchLinearCoef().
◆ nlrowSearchLinearCoef()
|
static |
searches linear variable in nonlinear row, returns position in linvars vector or -1 if not found
- Parameters
-
nlrow nonlinear row to be searched in var variable to be searched for
Definition at line 846 of file nlp.c.
References SCIP_NlRow::linvars, SCIP_NlRow::nlinvars, nlrowSortLinear(), NULL, and SCIPsortedvecFindPtr().
Referenced by nlpDelVarPos(), nlrowAddToLinearCoef(), nlrowRemoveFixedVar(), SCIPnlrowChgLinearCoef(), and SCIPnlrowDelLinearCoef().
◆ nlrowMoveLinearCoef()
|
static |
moves a coefficient in a nonlinear row to a different place, and updates all corresponding data structures
- Parameters
-
nlrow NLP row oldpos old position of coefficient newpos new position of coefficient
Definition at line 868 of file nlp.c.
References FALSE, SCIP_NlRow::lincoefs, SCIP_NlRow::linvars, SCIP_NlRow::linvarssorted, and NULL.
Referenced by nlrowDelLinearCoefPos(), and nlrowRemoveFixedLinearCoefPos().
◆ nlrowAddLinearCoef()
|
static |
adds a previously non existing linear coefficient to a nonlinear row
- Parameters
-
nlrow nonlinear row blkmem block memory set global SCIP settings stat problem statistics data nlp current NLP data var variable coef value of coefficient
Definition at line 891 of file nlp.c.
References FALSE, SCIP_NlRow::lincoefs, SCIP_NlRow::linvars, SCIP_NlRow::linvarssorted, SCIP_NlRow::name, SCIP_NlRow::nlinvars, SCIP_NlRow::nlpindex, nlrowLinearCoefChanged(), NULL, SCIP_CALL, SCIP_OKAY, SCIPnlrowEnsureLinearSize(), SCIPsetDebugMsg, SCIPsetIsZero(), SCIPvarCompare(), SCIPvarGetName(), and SCIPvarIsActive().
Referenced by nlrowAddToLinearCoef(), nlrowRemoveFixedLinearCoefPos(), SCIPnlrowAddLinearCoef(), and SCIPnlrowChgLinearCoef().
◆ nlrowAddToLinearCoef()
|
static |
adds a linear coefficient to a nonlinear row if the variable exists in the linear part of the row already, the coefficients are added otherwise the variable is added to the row
- Parameters
-
nlrow nonlinear row blkmem block memory set global SCIP settings stat problem statistics data nlp current NLP data var variable coef value of coefficient removefixed whether to disaggregate var before adding
Definition at line 938 of file nlp.c.
References SCIP_NlRow::constant, SCIP_NlRow::lincoefs, SCIP_NlRow::linvars, nlrowAddLinearCoef(), nlrowConstantChanged(), nlrowSearchLinearCoef(), NULL, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIP_VARSTATUS_MULTAGGR, SCIPsetIsZero(), SCIPvarGetMultaggrConstant(), SCIPvarGetMultaggrNVars(), SCIPvarGetMultaggrScalars(), SCIPvarGetMultaggrVars(), SCIPvarGetProbvarSum(), SCIPvarGetStatus(), SCIPvarIsActive(), and TRUE.
Referenced by nlrowRemoveFixedQuadVars().
◆ nlrowDelLinearCoefPos()
|
static |
deletes coefficient at given position from row
- Parameters
-
nlrow nonlinear row to be changed set global SCIP settings stat problem statistics data nlp current NLP data pos position in row vector to delete
Definition at line 1015 of file nlp.c.
References FALSE, SCIP_NlRow::linvars, SCIP_NlRow::linvarssorted, SCIP_NlRow::nlinvars, nlrowLinearCoefChanged(), nlrowMoveLinearCoef(), NULL, SCIP_CALL, and SCIP_OKAY.
Referenced by nlrowChgLinearCoefPos(), nlrowRemoveFixedLinearCoefPos(), and SCIPnlrowDelLinearCoef().
◆ nlrowChgLinearCoefPos()
|
static |
changes a coefficient at given position of a nonlinear row
- Parameters
-
nlrow NLP row set global SCIP settings stat problem statistics data nlp current NLP data pos position in row vector to change coef new value of coefficient
Definition at line 1044 of file nlp.c.
References SCIP_NlRow::lincoefs, SCIP_NlRow::linvars, nlrowDelLinearCoefPos(), nlrowLinearCoefChanged(), NULL, SCIP_CALL, SCIP_OKAY, SCIPsetIsEQ(), and SCIPsetIsZero().
Referenced by SCIPnlrowChgLinearCoef().
◆ nlrowSetupQuadVarsHash()
|
static |
sets up the variable hash for quadratic variables, if the number of variables exceeds some given threshold
- Parameters
-
nlrow nonlinear row blkmem block memory
Definition at line 1074 of file nlp.c.
References SCIP_NlRow::nquadvars, NULL, SCIP_NlRow::quadvars, SCIP_NlRow::quadvarshash, SCIP_CALL, SCIP_OKAY, SCIPhashmapCreate(), and SCIPhashmapInsert().
Referenced by SCIPnlrowAddQuadVar(), and SCIPnlrowCreate().
◆ nlrowSortQuadElem()
|
static |
sorts quadratic part of row entries
- Parameters
-
nlrow nonlinear row to be sorted
Definition at line 1100 of file nlp.c.
References SCIP_NlRow::nquadelems, NULL, SCIP_NlRow::quadelems, SCIP_NlRow::quadelemssorted, SCIPquadelemSort(), and TRUE.
Referenced by nlrowSearchQuadElem().
◆ nlrowSearchQuadElem()
|
static |
searches quadratic elements in nonlinear row, returns position of given index pair in quadelems array or -1 if not found
- Parameters
-
nlrow nonlinear row to be searched in idx1 index of first variable to be searched for idx2 index of second variable to be searched for
Definition at line 1119 of file nlp.c.
References nlrowSortQuadElem(), SCIP_NlRow::nquadelems, NULL, SCIP_NlRow::quadelems, and SCIPquadelemSortedFind().
Referenced by SCIPnlrowChgQuadElem(), and SCIPnlrowDelQuadElement().
◆ nlrowMoveQuadElement()
|
static |
moves a quadratic element in a nonlinear row to a different place, and updates all corresponding data structures
- Parameters
-
nlrow NLP row oldpos old position of coefficient newpos new position of coefficient
Definition at line 1142 of file nlp.c.
References FALSE, NULL, SCIP_NlRow::quadelems, and SCIP_NlRow::quadelemssorted.
Referenced by nlrowDelQuadElemPos().
◆ nlrowAddQuadElement()
|
static |
adds a previously non existing quadratic element to a nonlinear row
- Parameters
-
nlrow nonlinear row blkmem block memory set global SCIP settings stat problem statistics data nlp current NLP data elem quadratic element to add
Definition at line 1163 of file nlp.c.
References SCIP_QuadElement::coef, FALSE, SCIP_QuadElement::idx1, SCIP_QuadElement::idx2, SCIP_NlRow::name, nlrowQuadElemChanged(), SCIP_NlRow::nquadelems, SCIP_NlRow::nquadvars, NULL, SCIP_NlRow::quadelems, SCIP_NlRow::quadelemssorted, SCIP_NlRow::quadvars, SCIP_CALL, SCIP_OKAY, SCIPnlrowEnsureQuadElementsSize(), SCIPsetDebugMsg, SCIPsetIsZero(), and SCIPvarGetName().
Referenced by SCIPnlrowAddQuadElement(), and SCIPnlrowChgQuadElem().
◆ nlrowDelQuadElemPos()
|
static |
deletes coefficient at given position from row
- Parameters
-
nlrow nonlinear row to be changed set global SCIP settings stat problem statistics data nlp current NLP data pos position in row vector to delete
Definition at line 1208 of file nlp.c.
References SCIP_QuadElement::coef, FALSE, SCIP_QuadElement::idx1, SCIP_QuadElement::idx2, nlrowMoveQuadElement(), nlrowQuadElemChanged(), SCIP_NlRow::nquadelems, NULL, SCIP_NlRow::quadelems, SCIP_NlRow::quadelemssorted, SCIP_CALL, SCIP_OKAY, and SCIPsetDebugMsg.
Referenced by nlrowChgQuadElemPos(), nlrowRemoveFixedQuadVars(), and SCIPnlrowDelQuadElement().
◆ nlrowChgQuadElemPos()
|
static |
changes a coefficient at given position of quadratic element in nonlinear row
- Parameters
-
nlrow NLP row set global SCIP settings stat problem statistics data nlp current NLP data pos position in quadratic elements array to change coef new value of coefficient
Definition at line 1240 of file nlp.c.
References SCIP_QuadElement::coef, SCIP_QuadElement::idx1, SCIP_QuadElement::idx2, nlrowDelQuadElemPos(), nlrowQuadElemChanged(), NULL, SCIP_NlRow::quadelems, SCIP_CALL, SCIP_OKAY, SCIPsetDebugMsg, SCIPsetIsEQ(), and SCIPsetIsZero().
Referenced by SCIPnlrowChgQuadElem().
◆ nlrowCalcActivityBounds()
|
static |
calculates minimal and maximal activity of row w.r.t. the variable's bounds
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics data
Definition at line 1271 of file nlp.c.
References a, b, SCIP_QuadElement::coef, SCIP_NlRow::constant, SCIP_Stat::domchgcount, SCIP_NlRow::exprtree, SCIP_QuadElement::idx1, SCIP_QuadElement::idx2, SCIP_Interval::inf, SCIP_NlRow::lincoefs, SCIP_NlRow::linvars, SCIP_NlRow::maxactivity, SCIP_NlRow::minactivity, SCIP_NlRow::nlinvars, SCIP_NlRow::nquadelems, NULL, SCIP_NlRow::quadelems, SCIP_NlRow::quadvars, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIPexprtreeEvalInt(), SCIPexprtreeGetNVars(), SCIPexprtreeGetVars(), SCIPintervalAdd(), SCIPintervalGetInf(), SCIPintervalGetSup(), SCIPintervalIsEntire(), SCIPintervalMulScalar(), SCIPintervalQuad(), SCIPintervalSet(), SCIPintervalSetBounds(), SCIPsetAllocBufferArray, SCIPsetFreeBufferArray, SCIPsetInfinity(), SCIPvarGetLbLocal(), SCIPvarGetUbLocal(), and SCIP_NlRow::validactivitybdsdomchg.
Referenced by SCIPnlrowGetActivityBounds().
◆ nlrowRemoveFixedLinearCoefPos()
|
static |
makes sure that there is no fixed variable at position pos of the linear part of a nonlinear row a fixed variable is replaced with the corresponding constant or disaggregated term
- Parameters
-
nlrow nonlinear row blkmem block memory set global SCIP settings stat problem statistics data nlp current NLP data pos position of variable in linear variables array
Definition at line 1363 of file nlp.c.
References SCIP_NlRow::constant, FALSE, SCIP_NlRow::lincoefs, SCIP_NlRow::linvars, SCIP_NlRow::linvarssorted, SCIP_NlRow::nlinvars, nlrowAddLinearCoef(), nlrowConstantChanged(), nlrowDelLinearCoefPos(), nlrowLinearCoefChanged(), nlrowMoveLinearCoef(), NULL, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIP_VARSTATUS_MULTAGGR, SCIPnlrowEnsureLinearSize(), SCIPvarGetMultaggrConstant(), SCIPvarGetMultaggrNVars(), SCIPvarGetMultaggrScalars(), SCIPvarGetMultaggrVars(), SCIPvarGetProbvarSum(), SCIPvarGetStatus(), and SCIPvarIsActive().
Referenced by nlrowRemoveFixedLinearCoefs(), and nlrowRemoveFixedVar().
◆ nlrowRemoveFixedLinearCoefs()
|
static |
removes fixed variables from the linear part of a nonlinear row
- Parameters
-
nlrow nonlinear row blkmem block memory set global SCIP settings stat problem statistics data nlp current NLP data
Definition at line 1463 of file nlp.c.
References SCIP_NlRow::linvars, MIN, SCIP_NlRow::nlinvars, nlrowRemoveFixedLinearCoefPos(), NULL, SCIP_CALL, and SCIP_OKAY.
Referenced by SCIPnlrowRemoveFixedVars().
◆ nlrowRemoveFixedQuadVars()
|
static |
removes fixed quadratic variables of a nonlinear row by replacing them with the corresponding constant or disaggregated terms
- Parameters
-
nlrow nonlinear row blkmem block memory set global SCIP settings stat problem statistics data nlp current NLP data
Definition at line 1489 of file nlp.c.
References BMSclearMemoryArray, BMSfreeBlockMemoryArray, SCIP_QuadElement::coef, SCIP_NlRow::constant, FALSE, SCIP_QuadElement::idx1, SCIP_QuadElement::idx2, MAX, MIN, nlrowAddToLinearCoef(), nlrowConstantChanged(), nlrowDelQuadElemPos(), SCIP_NlRow::nquadelems, SCIP_NlRow::nquadvars, NULL, SCIP_NlRow::quadelems, SCIP_NlRow::quadelemssize, SCIP_NlRow::quadelemssorted, SCIP_NlRow::quadvars, SCIP_NlRow::quadvarshash, SCIP_NlRow::quadvarssize, SCIP_Bool, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIP_VARSTATUS_MULTAGGR, SCIPhashmapFree(), SCIPhashmapRemove(), SCIPhashmapSetImage(), SCIPnlrowAddQuadElement(), SCIPnlrowAddQuadVar(), SCIPnlrowSearchQuadVar(), SCIPsetAllocBufferArray, SCIPsetDebugMsg, SCIPsetFreeBufferArray, SCIPvarGetMultaggrConstant(), SCIPvarGetMultaggrNVars(), SCIPvarGetMultaggrScalars(), SCIPvarGetMultaggrVars(), SCIPvarGetName(), SCIPvarGetProbvarSum(), SCIPvarGetStatus(), SCIPvarIsActive(), and TRUE.
Referenced by nlrowRemoveFixedVar(), and SCIPnlrowRemoveFixedVars().
◆ nlrowRemoveFixedExprtreeVars()
|
static |
removes fixed variables from expression tree of a nonlinear row
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics data nlp current NLP data
Definition at line 1923 of file nlp.c.
References SCIP_NlRow::constant, SCIP_NlRow::exprtree, nlrowExprtreeChanged(), NULL, SCIP_Bool, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIPexprtreeEval(), SCIPexprtreeFree(), SCIPexprtreeGetNParams(), SCIPexprtreeGetNVars(), SCIPexprtreeRemoveFixedVars(), and SCIPnlrowChgConstant().
Referenced by nlrowRemoveFixedVar(), and SCIPnlrowRemoveFixedVars().
◆ nlrowRemoveFixedVar()
|
static |
removes fixed variable from nonlinear row
- Parameters
-
nlrow nonlinear row blkmem block memory set global SCIP settings stat problem statistics data nlp current NLP data var variable that had been fixed
Definition at line 1956 of file nlp.c.
References SCIP_NlRow::exprtree, nlrowRemoveFixedExprtreeVars(), nlrowRemoveFixedLinearCoefPos(), nlrowRemoveFixedQuadVars(), nlrowSearchLinearCoef(), NULL, SCIP_CALL, SCIP_OKAY, SCIPexprtreeFindVar(), SCIPnlrowSearchQuadVar(), and SCIPvarIsActive().
Referenced by nlpRemoveFixedVar().
◆ SCIPnlrowCreate()
| SCIP_RETCODE SCIPnlrowCreate | ( | SCIP_NLROW ** | nlrow, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| const char * | name, | ||
| SCIP_Real | constant, | ||
| int | nlinvars, | ||
| SCIP_VAR ** | linvars, | ||
| SCIP_Real * | lincoefs, | ||
| int | nquadvars, | ||
| SCIP_VAR ** | quadvars, | ||
| int | nquadelems, | ||
| SCIP_QUADELEM * | quadelems, | ||
| SCIP_EXPRTREE * | exprtree, | ||
| SCIP_Real | lhs, | ||
| SCIP_Real | rhs, | ||
| SCIP_EXPRCURV | curvature | ||
| ) |
create a new nonlinear row the new row is already captured
- Parameters
-
nlrow buffer to store pointer to nonlinear row blkmem block memory set global SCIP settings name name of nonlinear row constant constant nlinvars number of linear variables linvars linear variables, or NULL if nlinvars == 0 lincoefs linear coefficients, or NULL if nlinvars == 0 nquadvars number of variables in quadratic terms quadvars variables in quadratic terms, or NULL if nquadvars == 0 nquadelems number of entries in quadratic term matrix quadelems elements of quadratic term matrix, or NULL if nquadelems == 0 exprtree expression tree, or NULL lhs left hand side rhs right hand side curvature curvature of the nonlinear row
Definition at line 2001 of file nlp.c.
References ABS, BMSallocBlockMemory, BMSduplicateBlockMemoryArray, FALSE, MAX, MIN, nlrowSetupQuadVarsHash(), NULL, REALABS, SCIP_ALLOC, SCIP_CALL, SCIP_INVALID, SCIP_OKAY, SCIPexprtreeCopy(), SCIPnlrowCapture(), SCIPsetIsInfinity(), SCIPsetIsRelLE(), and TRUE.
Referenced by SCIPcreateEmptyNlRow(), SCIPcreateNlRow(), SCIPnlpChgVarObjDive(), SCIPnlrowCreateCopy(), and SCIPnlrowCreateFromRow().
◆ SCIPnlrowCreateCopy()
| SCIP_RETCODE SCIPnlrowCreateCopy | ( | SCIP_NLROW ** | nlrow, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_NLROW * | sourcenlrow | ||
| ) |
create a nonlinear row that is a copy of a given row the new row is already captured
- Parameters
-
nlrow buffer to store pointer to nonlinear row blkmem block memory set global SCIP settings sourcenlrow nonlinear row to copy
Definition at line 2150 of file nlp.c.
References SCIP_NlRow::activity, SCIP_NlRow::constant, SCIP_NlRow::curvature, SCIP_NlRow::exprtree, SCIP_NlRow::lhs, SCIP_NlRow::lincoefs, SCIP_NlRow::linvars, SCIP_NlRow::linvarssorted, SCIP_NlRow::maxactivity, SCIP_NlRow::minactivity, SCIP_NlRow::name, SCIP_NlRow::nlinvars, SCIP_NlRow::nquadelems, SCIP_NlRow::nquadvars, NULL, SCIP_NlRow::pseudoactivity, SCIP_NlRow::quadelems, SCIP_NlRow::quadelemssorted, SCIP_NlRow::quadvars, SCIP_NlRow::rhs, SCIP_CALL, SCIP_OKAY, SCIPnlrowCreate(), SCIP_NlRow::validactivitybdsdomchg, SCIP_NlRow::validactivitynlp, and SCIP_NlRow::validpsactivitydomchg.
◆ SCIPnlrowCreateFromRow()
| SCIP_RETCODE SCIPnlrowCreateFromRow | ( | SCIP_NLROW ** | nlrow, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_ROW * | row | ||
| ) |
create a new nonlinear row from a linear row the new row is already captured
- Parameters
-
nlrow buffer to store pointer to nonlinear row blkmem block memory set global SCIP settings row the linear row to copy
Definition at line 2185 of file nlp.c.
References NULL, SCIP_CALL, SCIP_EXPRCURV_LINEAR, SCIP_OKAY, SCIPcolGetVar(), SCIPnlrowCreate(), SCIProwGetCols(), SCIProwGetConstant(), SCIProwGetLhs(), SCIProwGetName(), SCIProwGetNNonz(), SCIProwGetRhs(), SCIProwGetVals(), SCIPsetAllocBufferArray, and SCIPsetFreeBufferArray.
Referenced by SCIPcreateNlRowFromRow().
◆ SCIPnlrowFree()
| SCIP_RETCODE SCIPnlrowFree | ( | SCIP_NLROW ** | nlrow, |
| BMS_BLKMEM * | blkmem | ||
| ) |
frees a nonlinear row
- Parameters
-
nlrow pointer to NLP row blkmem block memory
Definition at line 2253 of file nlp.c.
References BMSfreeBlockMemory, BMSfreeBlockMemoryArray, BMSfreeBlockMemoryArrayNull, NULL, SCIP_CALL, SCIP_OKAY, SCIPexprtreeFree(), and SCIPhashmapFree().
Referenced by SCIPnlrowRelease().
◆ SCIPnlrowPrint()
| SCIP_RETCODE SCIPnlrowPrint | ( | SCIP_NLROW * | nlrow, |
| SCIP_MESSAGEHDLR * | messagehdlr, | ||
| FILE * | file | ||
| ) |
output nonlinear row to file stream
- Parameters
-
nlrow NLP row messagehdlr message handler file output file (or NULL for standard output)
Definition at line 2290 of file nlp.c.
References SCIP_QuadElement::coef, SCIP_NlRow::constant, SCIP_NlRow::exprtree, SCIP_QuadElement::idx1, SCIP_QuadElement::idx2, SCIP_NlRow::lhs, SCIP_NlRow::lincoefs, SCIP_NlRow::linvars, SCIP_NlRow::name, SCIP_NlRow::nlinvars, SCIP_NlRow::nquadelems, NULL, SCIP_NlRow::quadelems, SCIP_NlRow::quadvars, SCIP_NlRow::rhs, SCIP_CALL, SCIP_OKAY, SCIPexprtreePrintWithNames(), SCIPmessageFPrintInfo(), and SCIPvarGetName().
Referenced by computeCut(), findAndStoreEcAggregations(), SCIPnlpWrite(), and SCIPprintNlRow().
◆ SCIPnlrowCapture()
| void SCIPnlrowCapture | ( | SCIP_NLROW * | nlrow | ) |
increases usage counter of NLP nonlinear row
- Parameters
-
nlrow nonlinear row to capture
Definition at line 2345 of file nlp.c.
References SCIP_NlRow::name, NULL, SCIP_NlRow::nuses, and SCIPdebugMessage.
Referenced by nlpAddNlRows(), SCIPcaptureNlRow(), and SCIPnlrowCreate().
◆ SCIPnlrowRelease()
| SCIP_RETCODE SCIPnlrowRelease | ( | SCIP_NLROW ** | nlrow, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set | ||
| ) |
decreases usage counter of NLP nonlinear row
- Parameters
-
nlrow nonlinear row to free blkmem block memory set global SCIP settings
Definition at line 2357 of file nlp.c.
References NULL, SCIP_CALL, SCIP_OKAY, SCIPnlrowFree(), and SCIPsetDebugMsg.
Referenced by nlpDelNlRowPos(), SCIPnlpEndDive(), and SCIPreleaseNlRow().
◆ SCIPnlrowEnsureLinearSize()
| SCIP_RETCODE SCIPnlrowEnsureLinearSize | ( | SCIP_NLROW * | nlrow, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| int | num | ||
| ) |
ensures, that linear coefficient array of nonlinear row can store at least num entries
- Parameters
-
nlrow NLP row blkmem block memory set global SCIP settings num minimum number of entries to store
Definition at line 2381 of file nlp.c.
References BMSreallocBlockMemoryArray, SCIP_NlRow::lincoefs, SCIP_NlRow::linvars, SCIP_NlRow::linvarssize, SCIP_NlRow::nlinvars, NULL, SCIP_ALLOC, SCIP_OKAY, and SCIPsetCalcMemGrowSize().
Referenced by nlrowAddLinearCoef(), and nlrowRemoveFixedLinearCoefPos().
◆ SCIPnlrowAddLinearCoef()
| SCIP_RETCODE SCIPnlrowAddLinearCoef | ( | SCIP_NLROW * | nlrow, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_NLP * | nlp, | ||
| SCIP_VAR * | var, | ||
| SCIP_Real | val | ||
| ) |
adds a previously non existing linear coefficient to an NLP nonlinear row
- Parameters
-
nlrow NLP nonlinear row blkmem block memory set global SCIP settings stat problem statistics data nlp current NLP data var variable val value of coefficient
Definition at line 2406 of file nlp.c.
References SCIP_NlRow::constant, SCIP_NlRow::nlpindex, nlrowAddLinearCoef(), SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIP_VARSTATUS_MULTAGGR, SCIPnlrowAddLinearCoef(), SCIPnlrowChgConstant(), SCIPvarGetMultaggrNVars(), SCIPvarGetMultaggrScalars(), SCIPvarGetMultaggrVars(), SCIPvarGetProbvarSum(), SCIPvarGetStatus(), and SCIPvarIsActive().
Referenced by SCIPaddLinearCoefsToNlRow(), SCIPaddLinearCoefToNlRow(), and SCIPnlrowAddLinearCoef().
◆ SCIPnlrowDelLinearCoef()
| SCIP_RETCODE SCIPnlrowDelLinearCoef | ( | SCIP_NLROW * | nlrow, |
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_NLP * | nlp, | ||
| SCIP_VAR * | var | ||
| ) |
deletes linear coefficient from nonlinear row
- Parameters
-
nlrow nonlinear row to be changed set global SCIP settings stat problem statistics data nlp current NLP data var coefficient to be deleted
Definition at line 2454 of file nlp.c.
References SCIP_NlRow::linvars, SCIP_NlRow::name, SCIP_NlRow::nlpindex, nlrowDelLinearCoefPos(), nlrowSearchLinearCoef(), NULL, SCIP_CALL, SCIP_INVALIDDATA, SCIP_OKAY, SCIPerrorMessage, SCIPvarGetName(), and SCIPvarIsActive().
◆ SCIPnlrowChgLinearCoef()
| SCIP_RETCODE SCIPnlrowChgLinearCoef | ( | SCIP_NLROW * | nlrow, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_NLP * | nlp, | ||
| SCIP_VAR * | var, | ||
| SCIP_Real | coef | ||
| ) |
changes or adds a linear coefficient to a nonlinear row
- Parameters
-
nlrow nonlinear row blkmem block memory set global SCIP settings stat problem statistics data nlp current NLP data var variable coef new value of coefficient
Definition at line 2487 of file nlp.c.
References nlrowAddLinearCoef(), nlrowChgLinearCoefPos(), nlrowSearchLinearCoef(), NULL, SCIP_CALL, SCIP_OKAY, and SCIPsetIsZero().
Referenced by SCIPchgNlRowLinearCoef(), and SCIPnlpChgVarObjDive().
◆ SCIPnlrowEnsureQuadVarsSize()
| SCIP_RETCODE SCIPnlrowEnsureQuadVarsSize | ( | SCIP_NLROW * | nlrow, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| int | num | ||
| ) |
ensures, that quadratic variables array of nonlinear row can store at least num entries
- Parameters
-
nlrow NLP row blkmem block memory set global SCIP settings num minimum number of entries to store
Definition at line 2525 of file nlp.c.
References BMSreallocBlockMemoryArray, SCIP_NlRow::nquadvars, NULL, SCIP_NlRow::quadvars, SCIP_NlRow::quadvarssize, SCIP_ALLOC, SCIP_OKAY, and SCIPsetCalcMemGrowSize().
Referenced by SCIPaddQuadVarsToNlRow(), and SCIPnlrowAddQuadVar().
◆ SCIPnlrowAddQuadVar()
| SCIP_RETCODE SCIPnlrowAddQuadVar | ( | SCIP_NLROW * | nlrow, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_VAR * | var | ||
| ) |
adds variable to quadvars array of row
- Parameters
-
nlrow nonlinear row blkmem block memory set global SCIP settings var variable to search for
Definition at line 2549 of file nlp.c.
References SCIP_NlRow::nlpindex, nlrowSetupQuadVarsHash(), SCIP_NlRow::nquadvars, NULL, SCIP_NlRow::quadvars, SCIP_NlRow::quadvarshash, SCIP_CALL, SCIP_OKAY, SCIPhashmapInsert(), SCIPnlrowEnsureQuadVarsSize(), SCIPnlrowSearchQuadVar(), and SCIPvarIsActive().
Referenced by nlrowRemoveFixedQuadVars(), SCIPaddQuadVarsToNlRow(), and SCIPaddQuadVarToNlRow().
◆ SCIPnlrowEnsureQuadElementsSize()
| SCIP_RETCODE SCIPnlrowEnsureQuadElementsSize | ( | SCIP_NLROW * | nlrow, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| int | num | ||
| ) |
ensures, that quadratic elements array of nonlinear row can store at least num entries
- Parameters
-
nlrow NLP row blkmem block memory set global SCIP settings num minimum number of entries to store
Definition at line 2584 of file nlp.c.
References BMSreallocBlockMemoryArray, SCIP_NlRow::nquadelems, NULL, SCIP_NlRow::quadelems, SCIP_NlRow::quadelemssize, SCIP_ALLOC, SCIP_OKAY, and SCIPsetCalcMemGrowSize().
Referenced by nlrowAddQuadElement(), and SCIPaddQuadElementsToNlRow().
◆ SCIPnlrowAddQuadElement()
| SCIP_RETCODE SCIPnlrowAddQuadElement | ( | SCIP_NLROW * | nlrow, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_NLP * | nlp, | ||
| SCIP_QUADELEM | elem | ||
| ) |
adds a previously non existing quadratic element to an NLP nonlinear row
- Parameters
-
nlrow NLP nonlinear row blkmem block memory set global SCIP settings stat problem statistics data nlp current NLP data elem quadratic element to add
Definition at line 2608 of file nlp.c.
References nlrowAddQuadElement(), SCIP_CALL, and SCIP_OKAY.
Referenced by nlrowRemoveFixedQuadVars(), SCIPaddQuadElementsToNlRow(), and SCIPaddQuadElementToNlRow().
◆ SCIPnlrowDelQuadElement()
| SCIP_RETCODE SCIPnlrowDelQuadElement | ( | SCIP_NLROW * | nlrow, |
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_NLP * | nlp, | ||
| int | idx1, | ||
| int | idx2 | ||
| ) |
deletes quadratic element from nonlinear row
- Parameters
-
nlrow nonlinear row to be changed set global SCIP settings stat problem statistics data nlp current NLP data idx1 index of first variable in element idx2 index of second variable in element
Definition at line 2623 of file nlp.c.
References SCIP_NlRow::name, nlrowDelQuadElemPos(), nlrowSearchQuadElem(), NULL, SCIP_CALL, SCIP_INVALIDDATA, SCIP_OKAY, and SCIPerrorMessage.
◆ SCIPnlrowChgQuadElem()
| SCIP_RETCODE SCIPnlrowChgQuadElem | ( | SCIP_NLROW * | nlrow, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_NLP * | nlp, | ||
| SCIP_QUADELEM | elem | ||
| ) |
changes or adds a quadratic element to a nonlinear row
- Parameters
-
nlrow nonlinear row blkmem block memory set global SCIP settings stat problem statistics data nlp current NLP data elem new quadratic element
Definition at line 2657 of file nlp.c.
References SCIP_QuadElement::coef, SCIP_QuadElement::idx1, SCIP_QuadElement::idx2, nlrowAddQuadElement(), nlrowChgQuadElemPos(), nlrowSearchQuadElem(), NULL, SCIP_CALL, and SCIP_OKAY.
Referenced by SCIPchgNlRowQuadElement().
◆ SCIPnlrowChgExprtree()
| SCIP_RETCODE SCIPnlrowChgExprtree | ( | SCIP_NLROW * | nlrow, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_NLP * | nlp, | ||
| SCIP_EXPRTREE * | exprtree | ||
| ) |
replaces an expression tree in nonlinear row
- Parameters
-
nlrow nonlinear row blkmem block memory set global SCIP settings stat problem statistics data nlp current NLP data exprtree new expression tree
Definition at line 2689 of file nlp.c.
References SCIP_NlRow::exprtree, SCIP_NlRow::nlpindex, nlrowExprtreeChanged(), NULL, SCIP_Bool, SCIP_CALL, SCIP_OKAY, SCIPexprtreeCopy(), SCIPexprtreeFree(), and SCIPexprtreeRemoveFixedVars().
Referenced by SCIPsetNlRowExprtree().
◆ SCIPnlrowChgExprtreeParam()
| SCIP_RETCODE SCIPnlrowChgExprtreeParam | ( | SCIP_NLROW * | nlrow, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_NLP * | nlp, | ||
| int | paramidx, | ||
| SCIP_Real | paramval | ||
| ) |
changes a parameter in an expression of a nonlinear row
- Parameters
-
nlrow nonlinear row blkmem block memory set global SCIP settings stat problem statistics data nlp current NLP data paramidx index of parameter in expression tree's parameter array paramval new value of parameter
Definition at line 2728 of file nlp.c.
References SCIP_NlRow::exprtree, nlrowExprtreeParamChanged(), NULL, SCIP_CALL, SCIP_OKAY, and SCIPexprtreeSetParamVal().
Referenced by SCIPsetNlRowExprtreeParam().
◆ SCIPnlrowChgExprtreeParams()
| SCIP_RETCODE SCIPnlrowChgExprtreeParams | ( | SCIP_NLROW * | nlrow, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_NLP * | nlp, | ||
| SCIP_Real * | paramvals | ||
| ) |
changes all parameters in an expression of a nonlinear row
- Parameters
-
nlrow nonlinear row blkmem block memory set global SCIP settings stat problem statistics data nlp current NLP data paramvals new values of parameters
Definition at line 2751 of file nlp.c.
References SCIP_NlRow::exprtree, nlrowExprtreeParamChanged(), NULL, SCIP_CALL, SCIP_OKAY, SCIPexprtreeGetNParams(), and SCIPexprtreeSetParams().
Referenced by SCIPsetNlRowExprtreeParams().
◆ SCIPnlrowChgConstant()
| SCIP_RETCODE SCIPnlrowChgConstant | ( | SCIP_NLROW * | nlrow, |
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_NLP * | nlp, | ||
| SCIP_Real | constant | ||
| ) |
changes constant of nonlinear row
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics data nlp current NLP data constant new constant
Definition at line 2773 of file nlp.c.
References SCIP_NlRow::constant, nlrowConstantChanged(), NULL, SCIP_CALL, SCIP_OKAY, and SCIPsetIsEQ().
Referenced by nlrowRemoveFixedExprtreeVars(), SCIPchgNlRowConstant(), and SCIPnlrowAddLinearCoef().
◆ SCIPnlrowChgLhs()
| SCIP_RETCODE SCIPnlrowChgLhs | ( | SCIP_NLROW * | nlrow, |
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_NLP * | nlp, | ||
| SCIP_Real | lhs | ||
| ) |
changes left hand side of nonlinear row
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics data nlp current NLP data lhs new left hand side
Definition at line 2793 of file nlp.c.
References SCIP_NlRow::lhs, nlrowSideChanged(), NULL, SCIP_CALL, SCIP_OKAY, and SCIPsetIsEQ().
Referenced by SCIPchgNlRowLhs().
◆ SCIPnlrowChgRhs()
| SCIP_RETCODE SCIPnlrowChgRhs | ( | SCIP_NLROW * | nlrow, |
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_NLP * | nlp, | ||
| SCIP_Real | rhs | ||
| ) |
changes right hand side of nonlinear row
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics data nlp current NLP data rhs new right hand side
Definition at line 2813 of file nlp.c.
References nlrowSideChanged(), NULL, SCIP_NlRow::rhs, SCIP_CALL, SCIP_OKAY, and SCIPsetIsEQ().
Referenced by SCIPchgNlRowRhs().
◆ SCIPnlrowRemoveFixedVars()
| SCIP_RETCODE SCIPnlrowRemoveFixedVars | ( | SCIP_NLROW * | nlrow, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_NLP * | nlp | ||
| ) |
removes (or substitutes) all fixed, negated, aggregated, multi-aggregated variables from the linear, quadratic, and non-quadratic terms of a nonlinear row
- Parameters
-
nlrow nonlinear row blkmem block memory set global SCIP settings stat problem statistics data nlp current NLP data
Definition at line 2833 of file nlp.c.
References nlrowRemoveFixedExprtreeVars(), nlrowRemoveFixedLinearCoefs(), nlrowRemoveFixedQuadVars(), SCIP_CALL, and SCIP_OKAY.
Referenced by nlpAddNlRows().
◆ SCIPnlrowRecalcNLPActivity()
| SCIP_RETCODE SCIPnlrowRecalcNLPActivity | ( | SCIP_NLROW * | nlrow, |
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_NLP * | nlp | ||
| ) |
recalculates the current activity of a nonlinear row
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics nlp current NLP data
Definition at line 2849 of file nlp.c.
References SCIP_NlRow::activity, SCIP_QuadElement::coef, SCIP_NlRow::constant, SCIP_NlRow::exprtree, SCIP_QuadElement::idx1, SCIP_QuadElement::idx2, SCIP_NlRow::lincoefs, SCIP_NlRow::linvars, SCIP_NlRow::nlinvars, SCIP_Stat::nnlps, SCIP_NlRow::nquadelems, NULL, SCIP_NlRow::quadelems, SCIP_NlRow::quadvars, SCIP_CALL, SCIP_ERROR, SCIP_INVALID, SCIP_NLPSOLSTAT_LOCINFEASIBLE, SCIP_OKAY, SCIP_Real, SCIPerrorMessage, SCIPexprtreeEval(), SCIPexprtreeGetNVars(), SCIPexprtreeGetVars(), SCIPsetAllocBufferArray, SCIPsetFreeBufferArray, SCIPvarGetNLPSol(), SCIP_Nlp::solstat, and SCIP_NlRow::validactivitynlp.
Referenced by SCIPnlrowGetNLPActivity(), SCIPrecalcNlRowActivity(), and SCIPrecalcNlRowNLPActivity().
◆ SCIPnlrowGetNLPActivity()
| SCIP_RETCODE SCIPnlrowGetNLPActivity | ( | SCIP_NLROW * | nlrow, |
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_NLP * | nlp, | ||
| SCIP_Real * | activity | ||
| ) |
returns the activity of a nonlinear row in the current NLP solution
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics nlp current NLP data activity buffer to store activity value
Definition at line 2926 of file nlp.c.
References SCIP_NlRow::activity, SCIP_Stat::nnlps, NULL, SCIP_CALL, SCIP_INVALID, SCIP_OKAY, SCIPnlrowRecalcNLPActivity(), and SCIP_NlRow::validactivitynlp.
Referenced by nlpSolve(), SCIPgetNlRowActivity(), SCIPgetNlRowNLPActivity(), SCIPgetNlRowSolActivity(), and SCIPnlrowGetNLPFeasibility().
◆ SCIPnlrowGetNLPFeasibility()
| SCIP_RETCODE SCIPnlrowGetNLPFeasibility | ( | SCIP_NLROW * | nlrow, |
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_NLP * | nlp, | ||
| SCIP_Real * | feasibility | ||
| ) |
gives the feasibility of a nonlinear row in the current NLP solution: negative value means infeasibility
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics nlp current NLP data feasibility buffer to store feasibility value
Definition at line 2953 of file nlp.c.
References SCIP_NlRow::lhs, MIN, NULL, SCIP_NlRow::rhs, SCIP_CALL, SCIP_OKAY, SCIP_Real, and SCIPnlrowGetNLPActivity().
Referenced by nlpAddNlRows(), nlpRowChanged(), SCIPgetNlRowFeasibility(), SCIPgetNlRowNLPFeasibility(), and SCIPgetNlRowSolFeasibility().
◆ SCIPnlrowRecalcPseudoActivity()
| SCIP_RETCODE SCIPnlrowRecalcPseudoActivity | ( | SCIP_NLROW * | nlrow, |
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat | ||
| ) |
calculates the current pseudo activity of a nonlinear row
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics
Definition at line 2973 of file nlp.c.
References SCIP_QuadElement::coef, SCIP_NlRow::constant, SCIP_Stat::domchgcount, SCIP_NlRow::exprtree, SCIP_QuadElement::idx1, SCIP_QuadElement::idx2, SCIP_NlRow::lincoefs, SCIP_NlRow::linvars, SCIP_NlRow::nlinvars, SCIP_NlRow::nquadelems, NULL, SCIP_NlRow::pseudoactivity, SCIP_NlRow::quadelems, SCIP_NlRow::quadvars, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIPexprtreeEval(), SCIPexprtreeGetNVars(), SCIPexprtreeGetVars(), SCIPsetAllocBufferArray, SCIPsetFreeBufferArray, SCIPvarGetBestBoundLocal(), and SCIP_NlRow::validpsactivitydomchg.
Referenced by SCIPnlrowGetPseudoActivity(), SCIPrecalcNlRowActivity(), and SCIPrecalcNlRowPseudoActivity().
◆ SCIPnlrowGetPseudoActivity()
| SCIP_RETCODE SCIPnlrowGetPseudoActivity | ( | SCIP_NLROW * | nlrow, |
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_Real * | pseudoactivity | ||
| ) |
returns the pseudo activity of a nonlinear row in the current pseudo solution
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics pseudoactivity buffer to store pseudo activity value
Definition at line 3028 of file nlp.c.
References SCIP_Stat::domchgcount, NULL, SCIP_NlRow::pseudoactivity, SCIP_CALL, SCIP_INVALID, SCIP_OKAY, SCIPnlrowRecalcPseudoActivity(), and SCIP_NlRow::validpsactivitydomchg.
Referenced by SCIPgetNlRowActivity(), SCIPgetNlRowPseudoActivity(), SCIPgetNlRowSolActivity(), SCIPnlpGetPseudoObjval(), and SCIPnlrowGetPseudoFeasibility().
◆ SCIPnlrowGetPseudoFeasibility()
| SCIP_RETCODE SCIPnlrowGetPseudoFeasibility | ( | SCIP_NLROW * | nlrow, |
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_Real * | pseudofeasibility | ||
| ) |
returns the pseudo feasibility of a nonlinear row in the current pseudo solution: negative value means infeasibility
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics pseudofeasibility buffer to store pseudo feasibility value
Definition at line 3054 of file nlp.c.
References SCIP_NlRow::lhs, MIN, NULL, SCIP_NlRow::rhs, SCIP_CALL, SCIP_OKAY, SCIP_Real, and SCIPnlrowGetPseudoActivity().
Referenced by SCIPgetNlRowFeasibility(), SCIPgetNlRowPseudoFeasibility(), and SCIPgetNlRowSolFeasibility().
◆ SCIPnlrowGetSolActivity()
| SCIP_RETCODE SCIPnlrowGetSolActivity | ( | SCIP_NLROW * | nlrow, |
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_SOL * | sol, | ||
| SCIP_Real * | activity | ||
| ) |
returns the activity of a nonlinear row for a given solution
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics data sol primal CIP solution activity buffer to store activity value
Definition at line 3074 of file nlp.c.
References SCIP_QuadElement::coef, SCIP_NlRow::constant, SCIP_NlRow::exprtree, SCIP_QuadElement::idx1, SCIP_QuadElement::idx2, SCIP_Interval::inf, SCIP_NlRow::lincoefs, SCIP_NlRow::linvars, MAX, MIN, SCIP_NlRow::nlinvars, SCIP_NlRow::nquadelems, NULL, SCIP_NlRow::quadelems, SCIP_NlRow::quadvars, SCIP_CALL, SCIP_INVALID, SCIP_OKAY, SCIP_Real, SCIP_UNKNOWN, SCIPexprtreeEval(), SCIPexprtreeGetNVars(), SCIPexprtreeGetVars(), SCIPsetAllocBufferArray, SCIPsetFreeBufferArray, SCIPsetInfinity(), and SCIPsolGetVal().
Referenced by SCIPgetNlRowSolActivity(), and SCIPnlrowGetSolFeasibility().
◆ SCIPnlrowGetSolFeasibility()
| SCIP_RETCODE SCIPnlrowGetSolFeasibility | ( | SCIP_NLROW * | nlrow, |
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_SOL * | sol, | ||
| SCIP_Real * | feasibility | ||
| ) |
returns the feasibility of a nonlinear row for the given solution
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics data sol primal CIP solution feasibility buffer to store feasibility value
Definition at line 3159 of file nlp.c.
References SCIP_NlRow::lhs, MIN, NULL, SCIP_NlRow::rhs, SCIP_CALL, SCIP_OKAY, SCIP_Real, and SCIPnlrowGetSolActivity().
Referenced by SCIPgetNlRowSolFeasibility().
◆ SCIPnlrowGetActivityBounds()
| SCIP_RETCODE SCIPnlrowGetActivityBounds | ( | SCIP_NLROW * | nlrow, |
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_Real * | minactivity, | ||
| SCIP_Real * | maxactivity | ||
| ) |
returns the minimal activity of a nonlinear row w.r.t. the variables' bounds
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics data minactivity buffer to store minimal activity, or NULL maxactivity buffer to store maximal activity, or NULL
Definition at line 3180 of file nlp.c.
References SCIP_Stat::domchgcount, SCIP_NlRow::maxactivity, SCIP_NlRow::minactivity, nlrowCalcActivityBounds(), NULL, SCIP_CALL, SCIP_INVALID, SCIP_OKAY, and SCIP_NlRow::validactivitybdsdomchg.
Referenced by SCIPgetNlRowActivityBounds(), and SCIPnlrowIsRedundant().
◆ SCIPnlrowIsRedundant()
| SCIP_RETCODE SCIPnlrowIsRedundant | ( | SCIP_NLROW * | nlrow, |
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_Bool * | isredundant | ||
| ) |
returns whether the nonlinear row is redundant w.r.t. the variables' bounds
- Parameters
-
nlrow nonlinear row set global SCIP settings stat problem statistics data isredundant buffer to store whether row is redundant
Definition at line 3211 of file nlp.c.
References FALSE, SCIP_NlRow::lhs, NULL, SCIP_NlRow::rhs, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIPnlrowGetActivityBounds(), SCIPsetIsFeasGT(), SCIPsetIsFeasLT(), SCIPsetIsInfinity(), and TRUE.
Referenced by SCIPnlpRemoveRedundantNlRows().
◆ nlpAddNlRows()
|
static |
adds a set of nonlinear rows to the NLP and captures them
- Parameters
-
nlp NLP data blkmem block memory set global SCIP settings stat problem statistics data nnlrows number of nonlinear rows to add nlrows nonlinear rows to add
Definition at line 3498 of file nlp.c.
References SCIP_NlRow::exprtree, SCIP_Nlp::indiving, SCIP_NlRow::linvars, SCIP_NlRow::nlinvars, SCIP_NlRow::nlpiindex, SCIP_NlRow::nlpindex, SCIP_Nlp::nlrows, SCIP_Nlp::nnlrows, SCIP_NlRow::nquadvars, NULL, SCIP_Nlp::nunflushednlrowadd, SCIP_NlRow::quadvars, SCIP_CALL, SCIP_NLPSOLSTAT_FEASIBLE, SCIP_NLPSOLSTAT_LOCINFEASIBLE, SCIP_NLPSOLSTAT_UNBOUNDED, SCIP_NLPSOLSTAT_UNKNOWN, SCIP_OKAY, SCIP_Real, SCIPexprtreeGetNVars(), SCIPexprtreeGetVars(), SCIPhashmapExists(), SCIPnlpEnsureNlRowsSize(), SCIPnlrowCapture(), SCIPnlrowGetNLPFeasibility(), SCIPnlrowRemoveFixedVars(), SCIPsetIsFeasNegative(), SCIP_Nlp::solstat, and SCIP_Nlp::varhash.
Referenced by SCIPnlpAddNlRow(), and SCIPnlpAddNlRows().
◆ nlpMoveNlrow()
|
static |
moves a nonlinear row to a different place, and updates all corresponding data structures
- Parameters
-
nlp NLP data structure oldpos old position of nonlinear row newpos new position of nonlinear row
Definition at line 3585 of file nlp.c.
References SCIP_NlRow::nlpindex, SCIP_Nlp::nlrows, and NULL.
Referenced by nlpDelNlRowPos().
◆ nlpDelNlRowPos()
|
static |
deletes nonlinear row with given position from NLP
- Parameters
-
nlp NLP data structure blkmem block memory set global SCIP settings pos position of nonlinear row that is to be removed
Definition at line 3605 of file nlp.c.
References SCIP_Nlp::indiving, SCIP_NlRow::nlpiindex, SCIP_NlRow::nlpindex, nlpMoveNlrow(), SCIP_Nlp::nlrowmap_nlpi2nlp, SCIP_Nlp::nlrows, SCIP_Nlp::nnlrows, SCIP_Nlp::nnlrows_solver, NULL, SCIP_Nlp::nunflushednlrowadd, SCIP_Nlp::nunflushednlrowdel, SCIP_CALL, SCIP_NLPSOLSTAT_FEASIBLE, SCIP_NLPSOLSTAT_GLOBINFEASIBLE, SCIP_NLPSOLSTAT_LOCINFEASIBLE, SCIP_NLPSOLSTAT_LOCOPT, SCIP_OKAY, SCIPnlrowRelease(), and SCIP_Nlp::solstat.
Referenced by SCIPnlpDelNlRow(), SCIPnlpRemoveRedundantNlRows(), and SCIPnlpReset().
◆ nlpUpdateVarBounds()
|
static |
updates bounds on a variable in the NLPI problem
- Parameters
-
nlp NLP data set global SCIP settings var variable which bounds have changed tightened whether the bound change was a bound tightening
Definition at line 3658 of file nlp.c.
References SCIP_Nlp::indiving, NULL, SCIP_Nlp::problem, SCIP_CALL, SCIP_NLPSOLSTAT_FEASIBLE, SCIP_NLPSOLSTAT_LOCINFEASIBLE, SCIP_NLPSOLSTAT_UNBOUNDED, SCIP_NLPSOLSTAT_UNKNOWN, SCIP_OKAY, SCIP_Real, SCIPhashmapExists(), SCIPhashmapGetImage(), SCIPnlpiChgVarBounds(), SCIPsetIsFeasGE(), SCIPsetIsFeasLE(), SCIPsetIsInfinity(), SCIPvarGetLbLocal(), SCIPvarGetNLPSol(), SCIPvarGetUbLocal(), SCIP_Nlp::solstat, SCIP_Nlp::solver, SCIP_Nlp::varhash, and SCIP_Nlp::varmap_nlp2nlpi.
Referenced by SCIP_DECL_EVENTEXEC().
◆ nlpUpdateObjCoef()
|
static |
updates coefficient of a variable in the objective
- Parameters
-
nlp NLP data var variable which bounds have changed
Definition at line 3717 of file nlp.c.
References FALSE, SCIP_Nlp::indiving, NULL, SCIP_Nlp::objflushed, SCIP_Nlp::problem, SCIP_CALL, SCIP_NLPSOLSTAT_FEASIBLE, SCIP_OKAY, SCIP_Real, SCIPhashmapExists(), SCIPhashmapGetImage(), SCIPnlpiChgLinearCoefs(), SCIPvarGetObj(), SCIP_Nlp::solstat, SCIP_Nlp::solver, SCIP_Nlp::varhash, and SCIP_Nlp::varmap_nlp2nlpi.
Referenced by nlpAddVars(), and SCIP_DECL_EVENTEXEC().
◆ nlpAddVars()
|
static |
adds new variables to the NLP
- Parameters
-
nlp NLP data structure blkmem block memory set global SCIP settings nvars number of variables to add vars variable to add to NLP
Definition at line 3778 of file nlp.c.
References SCIP_Nlp::eventhdlr, SCIP_Nlp::haveinitguess, SCIP_Nlp::indiving, SCIP_Nlp::initialguess, nlpUpdateObjCoef(), NULL, SCIP_Nlp::nunflushedvaradd, SCIP_Nlp::nvars, SCIP_Nlp::primalsolobjval, SCIP_CALL, SCIP_EVENTTYPE_BOUNDCHANGED, SCIP_EVENTTYPE_OBJCHANGED, SCIP_EVENTTYPE_VARFIXED, SCIP_NLPSOLSTAT_FEASIBLE, SCIP_OKAY, SCIPhashmapExists(), SCIPhashmapInsert(), SCIPnlpEnsureVarsSize(), SCIPvarCapture(), SCIPvarCatchEvent(), SCIPvarGetBestBoundLocal(), SCIPvarGetObj(), SCIPvarIsActive(), SCIPvarIsTransformed(), SCIPvarSetNLPSol(), SCIP_Nlp::sizevars, SCIP_Nlp::solstat, SCIP_Nlp::varhash, SCIP_Nlp::varlbdualvals, SCIP_Nlp::varmap_nlp2nlpi, SCIP_Nlp::vars, and SCIP_Nlp::varubdualvals.
Referenced by SCIPnlpAddVar(), and SCIPnlpAddVars().
◆ nlpMoveVar()
|
static |
moves a variable to a different place, and updates all corresponding data structures
- Parameters
-
nlp NLP data structure oldpos old position of variable newpos new position of variable
Definition at line 3857 of file nlp.c.
References SCIP_Nlp::initialguess, NULL, SCIP_CALL, SCIP_OKAY, SCIPhashmapSetImage(), SCIP_Nlp::varhash, SCIP_Nlp::varlbdualvals, SCIP_Nlp::varmap_nlp2nlpi, SCIP_Nlp::varmap_nlpi2nlp, SCIP_Nlp::vars, and SCIP_Nlp::varubdualvals.
Referenced by nlpDelVarPos().
◆ nlpDelVarPos()
|
static |
deletes variable with given position from NLP
- Parameters
-
nlp NLP data structure blkmem block memory set global SCIP settings eventqueue event queue lp SCIP LP, needed if a column-variable is freed pos position of nonlinear row that is to be removed
Definition at line 3890 of file nlp.c.
References SCIP_Nlp::eventhdlr, SCIP_NlRow::exprtree, SCIP_Nlp::indiving, SCIP_NlRow::linvars, SCIP_NlRow::linvarssorted, SCIP_NlRow::nlinvars, nlpMoveVar(), SCIP_Nlp::nlrows, nlrowSearchLinearCoef(), SCIP_Nlp::nnlrows, NULL, SCIP_Nlp::nunflushedvaradd, SCIP_Nlp::nunflushedvardel, SCIP_Nlp::primalsolobjval, SCIP_CALL, SCIP_EVENTTYPE_BOUNDCHANGED, SCIP_EVENTTYPE_OBJCHANGED, SCIP_EVENTTYPE_VARFIXED, SCIP_NLPSOLSTAT_FEASIBLE, SCIP_NLPSOLSTAT_UNBOUNDED, SCIP_NLPSOLSTAT_UNKNOWN, SCIP_OKAY, SCIPexprtreeFindVar(), SCIPhashmapRemove(), SCIPnlrowSearchQuadVar(), SCIPvarDropEvent(), SCIPvarGetNLPSol(), SCIPvarGetObj(), SCIPvarRelease(), SCIP_Nlp::solstat, SCIP_Nlp::varmap_nlp2nlpi, SCIP_Nlp::varmap_nlpi2nlp, and SCIP_Nlp::vars.
Referenced by SCIPnlpDelVar(), and SCIPnlpReset().
◆ nlpRemoveFixedVar()
|
static |
notifies NLP that a variable was fixed, so it is removed from objective, all rows, and the NLP variables
- Parameters
-
nlp NLP data blkmem block memory set global SCIP settings stat problem statistics data eventqueue event queue lp SCIP LP, needed to release variable var variable that has been fixed
Definition at line 3976 of file nlp.c.
References SCIP_Nlp::indiving, nlrowRemoveFixedVar(), SCIP_Nlp::nlrows, SCIP_Nlp::nnlrows, NULL, SCIP_CALL, SCIP_OKAY, SCIPhashmapExists(), SCIPnlpDelVar(), SCIPvarIsActive(), and SCIP_Nlp::varhash.
Referenced by SCIP_DECL_EVENTEXEC().
◆ nlpSetupNlpiIndices()
|
static |
creates arrays with NLPI variable indices of variables in a nonlinear row
- Parameters
-
nlp NLP data set global SCIP settings nlrow nonlinear row linidxs buffer to store pointer to NLPI indices of linear variables quadelems buffer to store pointer to quadratic elements w.r.t. NLPI indices nlinidxs buffer to store pointer to NLPI indices of nonlinear variables
Definition at line 4008 of file nlp.c.
References SCIP_QuadElement::coef, SCIP_NlRow::exprtree, SCIP_QuadElement::idx1, SCIP_QuadElement::idx2, SCIP_NlRow::lincoefs, SCIP_NlRow::linvars, SCIP_NlRow::nlinvars, SCIP_NlRow::nquadelems, SCIP_NlRow::nquadvars, NULL, SCIP_NlRow::quadelems, SCIP_NlRow::quadvars, SCIP_CALL, SCIP_OKAY, SCIPexprtreeGetNVars(), SCIPexprtreeGetVars(), SCIPhashmapExists(), SCIPhashmapGetImage(), SCIPsetAllocBufferArray, SCIPsetFreeBufferArray, SCIPvarIsActive(), SCIP_Nlp::varhash, and SCIP_Nlp::varmap_nlp2nlpi.
Referenced by nlpFlushNlRowAdditions().
◆ nlpEnsureVarsSolverSize()
|
static |
ensures, that NLPI variables array of NLP can store at least num entries
- Parameters
-
nlp NLP data blkmem block memory set global SCIP settings num minimum number of entries to store
Definition at line 4123 of file nlp.c.
References BMSreallocBlockMemoryArray, NULL, SCIP_Nlp::nvars_solver, SCIP_ALLOC, SCIP_OKAY, SCIPsetCalcMemGrowSize(), SCIP_Nlp::sizevars_solver, and SCIP_Nlp::varmap_nlpi2nlp.
Referenced by nlpFlushVarAdditions().
◆ nlpEnsureNlRowsSolverSize()
|
static |
ensures, that NLPI nonlinear rows array of NLP can store at least num entries
- Parameters
-
nlp NLP data blkmem block memory set global SCIP settings num minimum number of entries to store
Definition at line 4151 of file nlp.c.
References BMSreallocBlockMemoryArray, SCIP_Nlp::nlrowmap_nlpi2nlp, SCIP_Nlp::nnlrows_solver, NULL, SCIP_ALLOC, SCIP_OKAY, SCIPsetCalcMemGrowSize(), and SCIP_Nlp::sizenlrows_solver.
Referenced by nlpFlushNlRowAdditions().
◆ nlpFlushNlRowDeletions()
|
static |
deletes rows from the NLPI problem that have been marked as to remove
- Parameters
-
nlp NLP data blkmem block memory set global SCIP settings
Definition at line 4179 of file nlp.c.
References SCIP_Nlp::indiving, SCIP_NlRow::nlpiindex, SCIP_NlRow::nlpindex, SCIP_Nlp::nlrowmap_nlpi2nlp, SCIP_Nlp::nlrows, SCIP_Nlp::nnlrows, SCIP_Nlp::nnlrows_solver, NULL, SCIP_Nlp::nunflushednlrowdel, SCIP_Nlp::problem, SCIP_CALL, SCIP_OKAY, SCIPnlpiDelConsSet(), SCIPsetAllocBufferArray, SCIPsetFreeBufferArray, and SCIP_Nlp::solver.
Referenced by SCIPnlpFlush().
◆ nlpFlushVarDeletions()
|
static |
deletes variables from the NLPI problem that have been marked as to remove assumes that there are no pending row deletions (nlpFlushNlRowDeletions should be called first)
- Parameters
-
nlp NLP data blkmem block memory set global SCIP settings
Definition at line 4272 of file nlp.c.
References SCIP_Nlp::indiving, NULL, SCIP_Nlp::nunflushednlrowdel, SCIP_Nlp::nunflushedvardel, SCIP_Nlp::nvars, SCIP_Nlp::nvars_solver, SCIP_Nlp::problem, SCIP_CALL, SCIP_OKAY, SCIPnlpiDelVarSet(), SCIPsetAllocBufferArray, SCIPsetFreeBufferArray, SCIP_Nlp::solver, SCIP_Nlp::varmap_nlp2nlpi, and SCIP_Nlp::varmap_nlpi2nlp.
Referenced by SCIPnlpFlush().
◆ nlpFlushNlRowAdditions()
|
static |
adds nonlinear rows to NLPI problem that have been added to NLP before assumes that there are no pending variable additions or deletions (nlpFlushVarDeletions and nlpFlushVarAdditions should be called first)
- Parameters
-
nlp NLP data blkmem block memory set global SCIP settings
Definition at line 4366 of file nlp.c.
References SCIP_NlRow::constant, SCIP_NlRow::exprtree, SCIP_Nlp::indiving, SCIP_NlRow::lhs, SCIP_NlRow::lincoefs, SCIP_NlRow::name, SCIP_NlRow::nlinvars, nlpEnsureNlRowsSolverSize(), SCIP_NlRow::nlpiindex, nlpSetupNlpiIndices(), SCIP_Nlp::nlrowmap_nlpi2nlp, SCIP_Nlp::nlrows, SCIP_Nlp::nnlrows, SCIP_Nlp::nnlrows_solver, SCIP_NlRow::nquadelems, SCIP_NlRow::nquadvars, NULL, SCIP_Nlp::nunflushednlrowadd, SCIP_Nlp::nunflushedvaradd, SCIP_Nlp::nunflushedvardel, SCIP_Nlp::problem, SCIP_NlRow::rhs, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIPnlpiAddConstraints(), SCIPsetAllocBufferArray, SCIPsetFreeBufferArray, SCIPsetIsEQ(), SCIPsetIsInfinity(), and SCIP_Nlp::solver.
Referenced by SCIPnlpFlush().
◆ nlpFlushVarAdditions()
|
static |
adds variables to NLPI problem that have been added to NLP before may set nlp->objflushed to FALSE if a variable with nonzero obj.coefficient is added to the NLPI problem
- Parameters
-
nlp NLP data blkmem block memory set global SCIP settings
Definition at line 4519 of file nlp.c.
References FALSE, SCIP_Nlp::indiving, nlpEnsureVarsSolverSize(), NULL, SCIP_Nlp::nunflushedvaradd, SCIP_Nlp::nvars, SCIP_Nlp::nvars_solver, SCIP_Nlp::objflushed, SCIP_Nlp::problem, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIPnlpiAddVars(), SCIPsetAllocBufferArray, SCIPsetFreeBufferArray, SCIPsetIsZero(), SCIPvarGetLbLocal(), SCIPvarGetName(), SCIPvarGetObj(), SCIPvarGetUbLocal(), SCIP_Nlp::solver, SCIP_Nlp::varmap_nlp2nlpi, SCIP_Nlp::varmap_nlpi2nlp, and SCIP_Nlp::vars.
Referenced by SCIPnlpFlush().
◆ nlpFlushObjective()
|
static |
updates the objective in the NLPI problem, if necessary assumes that there are no unflushed variable additions or deletions (nlpFlushVarDeletions and nlpFlushVarAdditions should be called first)
- Parameters
-
nlp NLP data blkmem block memory set global SCIP settings
Definition at line 4607 of file nlp.c.
References SCIP_Nlp::indiving, NULL, SCIP_Nlp::nunflushedvaradd, SCIP_Nlp::nunflushedvardel, SCIP_Nlp::nvars_solver, SCIP_Nlp::objflushed, SCIP_Nlp::problem, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIPnlpiSetObjective(), SCIPsetAllocBufferArray, SCIPsetFreeBufferArray, SCIPsetIsZero(), SCIPvarGetObj(), SCIP_Nlp::solver, TRUE, SCIP_Nlp::varmap_nlpi2nlp, and SCIP_Nlp::vars.
Referenced by SCIPnlpFlush().
◆ nlpSolve()
|
static |
solves the NLP, assuming it has been flushed already
is used also to solve diving NLP
- Parameters
-
nlp NLP data blkmem block memory buffers set global SCIP settings messagehdlr message handler stat problem statistics
Definition at line 4669 of file nlp.c.
References BMSclearMemoryArray, SCIP_Nlp::divingobj, SCIP_NlRow::dualsol, SCIP_Nlp::haveinitguess, SCIP_Nlp::indiving, SCIP_Nlp::initialguess, SCIP_NlRow::nlpiindex, SCIP_Stat::nlpsoltime, SCIP_Nlp::nlrows, SCIP_Stat::nnlps, SCIP_Nlp::nnlrows, NULL, SCIP_Nlp::nvars, SCIP_Nlp::nvars_solver, SCIP_Nlp::primalsolobjval, SCIP_Nlp::problem, SCIP_CALL, SCIP_INVALID, SCIP_NLPPAR_FEASTOL, SCIP_NLPPAR_RELOBJTOL, SCIP_NLPSOLSTAT_FEASIBLE, SCIP_NLPSOLSTAT_GLOBOPT, SCIP_NLPSOLSTAT_LOCINFEASIBLE, SCIP_NLPSOLSTAT_LOCOPT, SCIP_NLPSOLSTAT_UNKNOWN, SCIP_NLPTERMSTAT_OTHER, SCIP_OKAY, SCIP_Real, SCIPclockStart(), SCIPclockStop(), SCIPmessagePrintWarning(), SCIPnlpiGetSolstat(), SCIPnlpiGetSolution(), SCIPnlpiGetTermstat(), SCIPnlpiSetInitialGuess(), SCIPnlpiSetRealPar(), SCIPnlpiSolve(), SCIPnlrowGetNLPActivity(), SCIPsetAllocBufferArray, SCIPsetDualfeastol(), SCIPsetFeastol(), SCIPsetFreeBufferArray, SCIPsetIsFeasGE(), SCIPsetIsFeasLE(), SCIPsetIsInfinity(), SCIPvarGetLbLocal(), SCIPvarGetObj(), SCIPvarGetUbLocal(), SCIPvarSetNLPSol(), SCIP_Nlp::solstat, SCIP_Nlp::solver, SCIP_Nlp::termstat, SCIP_Nlp::varlbdualvals, SCIP_Nlp::varmap_nlp2nlpi, SCIP_Nlp::varmap_nlpi2nlp, SCIP_Nlp::vars, and SCIP_Nlp::varubdualvals.
Referenced by SCIPnlpSolve(), and SCIPnlpSolveDive().
◆ nlpCalcFracVars()
|
static |
assembles list of fractional variables in last NLP solution
- Parameters
-
nlp NLP data blkmem block memory buffers set global SCIP settings stat problem statistics
Definition at line 4828 of file nlp.c.
References BMSallocBlockMemoryArray, BMSreallocBlockMemoryArray, SCIP_Nlp::fracvars, SCIP_Nlp::fracvarsfrac, SCIP_Nlp::fracvarssize, SCIP_Nlp::fracvarssol, SCIP_Nlp::nfracvars, SCIP_Stat::nnlps, SCIP_Nlp::npriofracvars, NULL, SCIP_Nlp::nvars, SCIP_ALLOC, SCIP_INVALID, SCIP_LONGINT_FORMAT, SCIP_NLPSOLSTAT_LOCINFEASIBLE, SCIP_OKAY, SCIP_Real, SCIP_VARTYPE_BINARY, SCIP_VARTYPE_INTEGER, SCIPnlpHasSolution(), SCIPsetCalcMemGrowSize(), SCIPsetDebugMsg, SCIPsetFeasFrac(), SCIPsetFeastol(), SCIPsetIsFeasFracIntegral(), SCIPsetIsGE(), SCIPvarGetBranchPriority(), SCIPvarGetLbLocal(), SCIPvarGetName(), SCIPvarGetNLPSol(), SCIPvarGetType(), SCIPvarGetUbLocal(), SCIP_Nlp::solstat, SCIP_Nlp::validfracvars, and SCIP_Nlp::vars.
Referenced by SCIPnlpGetFracVars().
◆ SCIPnlpInclude()
| SCIP_RETCODE SCIPnlpInclude | ( | SCIP_SET * | set, |
| BMS_BLKMEM * | blkmem | ||
| ) |
includes NLP specific plugins (e.g., event handler) and parameters
- Parameters
-
set global SCIP settings blkmem block memory
Definition at line 5038 of file nlp.c.
References EVENTHDLR_DESC, EVENTHDLR_NAME, NULL, SCIP_CALL, SCIP_INVALIDDATA, SCIP_OKAY, SCIP_STAGE_INIT, SCIPerrorMessage, SCIPeventhdlrCreate(), SCIPsetFindEventhdlr(), and SCIPsetIncludeEventhdlr().
Referenced by doScipCreate().
◆ SCIPnlpCreate()
| SCIP_RETCODE SCIPnlpCreate | ( | SCIP_NLP ** | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| const char * | name, | ||
| int | nvars_estimate | ||
| ) |
construct a new empty NLP
- Parameters
-
nlp NLP handler, call by reference blkmem block memory set global SCIP settings stat problem statistics name problem name nvars_estimate an estimate on the number of variables that may be added to the NLP later
Definition at line 5063 of file nlp.c.
References BMSallocMemory, BMSduplicateBlockMemoryArray, EVENTHDLR_NAME, FALSE, NULL, SCIP_ALLOC, SCIP_CALL, SCIP_EVENTTYPE_VARADDED, SCIP_EVENTTYPE_VARDELETED, SCIP_INVALID, SCIP_NLPSOLSTAT_UNKNOWN, SCIP_NLPTERMSTAT_OTHER, SCIP_OKAY, SCIP_PLUGINNOTFOUND, SCIPerrorMessage, SCIPeventfilterAdd(), SCIPhashmapCreate(), SCIPnlpiCreateProblem(), SCIPsetFindEventhdlr(), SCIPsetFindNlpi(), SCIPsetSortNlpis(), and TRUE.
Referenced by initSolve().
◆ SCIPnlpFree()
| SCIP_RETCODE SCIPnlpFree | ( | SCIP_NLP ** | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_EVENTQUEUE * | eventqueue, | ||
| SCIP_LP * | lp | ||
| ) |
frees NLP data object
- Parameters
-
nlp pointer to NLP data object blkmem block memory set global SCIP settings eventqueue event queue lp SCIP LP, needed for releasing variables
Definition at line 5184 of file nlp.c.
References BMSfreeBlockMemoryArray, BMSfreeBlockMemoryArrayNull, BMSfreeMemory, NULL, SCIP_CALL, SCIP_EVENTTYPE_VARADDED, SCIP_EVENTTYPE_VARDELETED, SCIP_OKAY, SCIPeventfilterDel(), SCIPhashmapFree(), SCIPnlpiFreeProblem(), and SCIPnlpReset().
Referenced by freeReoptSolve(), and freeSolve().
◆ SCIPnlpReset()
| SCIP_RETCODE SCIPnlpReset | ( | SCIP_NLP * | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_EVENTQUEUE * | eventqueue, | ||
| SCIP_LP * | lp | ||
| ) |
resets the NLP to the empty NLP by removing all variables and rows from NLP, releasing all rows, and flushing the changes to the NLP solver
- Parameters
-
nlp NLP data blkmem block memory set global SCIP settings eventqueue event queue lp SCIP LP, needed for releasing variables
Definition at line 5243 of file nlp.c.
References BMSfreeBlockMemoryArrayNull, FALSE, SCIP_Nlp::haveinitguess, SCIP_Nlp::indiving, SCIP_Nlp::initialguess, nlpDelNlRowPos(), nlpDelVarPos(), SCIP_Nlp::nnlrows, NULL, SCIP_Nlp::nvars, SCIP_CALL, SCIP_NLPSOLSTAT_UNKNOWN, SCIP_NLPTERMSTAT_OTHER, SCIP_OKAY, SCIPnlpEndDive(), SCIPnlpFlush(), SCIP_Nlp::solstat, and SCIP_Nlp::termstat.
Referenced by SCIPnlpFree().
◆ SCIPnlpHasCurrentNodeNLP()
currently a dummy function that always returns TRUE
- Parameters
-
nlp NLP data
Definition at line 5284 of file nlp.c.
References TRUE.
Referenced by SCIPgetNlRowActivity(), SCIPgetNlRowFeasibility(), SCIPgetNlRowSolActivity(), SCIPgetNlRowSolFeasibility(), and SCIPrecalcNlRowActivity().
◆ SCIPnlpEnsureVarsSize()
| SCIP_RETCODE SCIPnlpEnsureVarsSize | ( | SCIP_NLP * | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| int | num | ||
| ) |
ensures, that variables array of NLP can store at least num entries
- Parameters
-
nlp NLP data blkmem block memory set global SCIP settings num minimum number of entries to store
Definition at line 5292 of file nlp.c.
References BMSreallocBlockMemoryArray, SCIP_Nlp::initialguess, NULL, SCIP_Nlp::nvars, SCIP_ALLOC, SCIP_OKAY, SCIPsetCalcMemGrowSize(), SCIP_Nlp::sizevars, SCIP_Nlp::varlbdualvals, SCIP_Nlp::varmap_nlp2nlpi, SCIP_Nlp::vars, and SCIP_Nlp::varubdualvals.
Referenced by nlpAddVars().
◆ SCIPnlpAddVar()
| SCIP_RETCODE SCIPnlpAddVar | ( | SCIP_NLP * | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_VAR * | var | ||
| ) |
adds a variable to the NLP and captures the variable
- Parameters
-
nlp NLP data blkmem block memory set global SCIP settings var variable
Definition at line 5326 of file nlp.c.
References SCIP_Nlp::indiving, nlpAddVars(), NULL, SCIP_CALL, SCIP_ERROR, SCIP_OKAY, SCIPerrorMessage, SCIPhashmapExists(), SCIPvarIsTransformed(), and SCIP_Nlp::varhash.
Referenced by SCIP_DECL_EVENTEXEC().
◆ SCIPnlpAddVars()
| SCIP_RETCODE SCIPnlpAddVars | ( | SCIP_NLP * | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| int | nvars, | ||
| SCIP_VAR ** | vars | ||
| ) |
adds a set of variables to the NLP and captures the variables
- Parameters
-
nlp NLP data blkmem block memory set global SCIP settings nvars number of variables to add vars variables to add
Definition at line 5352 of file nlp.c.
References SCIP_Nlp::indiving, nlpAddVars(), NULL, SCIP_CALL, SCIP_ERROR, SCIP_OKAY, and SCIPerrorMessage.
Referenced by initSolve().
◆ SCIPnlpDelVar()
| SCIP_RETCODE SCIPnlpDelVar | ( | SCIP_NLP * | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_EVENTQUEUE * | eventqueue, | ||
| SCIP_LP * | lp, | ||
| SCIP_VAR * | var | ||
| ) |
deletes a variable from the NLP and releases the variable
- Parameters
-
nlp NLP data blkmem block memory set global SCIP settings eventqueue event queue lp SCIP LP, needed to release variable var variable
Definition at line 5377 of file nlp.c.
References SCIP_Nlp::indiving, nlpDelVarPos(), NULL, SCIP_CALL, SCIP_ERROR, SCIP_OKAY, SCIPerrorMessage, SCIPhashmapExists(), SCIPhashmapGetImage(), SCIPvarGetName(), and SCIP_Nlp::varhash.
Referenced by nlpRemoveFixedVar(), and SCIP_DECL_EVENTEXEC().
◆ SCIPnlpEnsureNlRowsSize()
| SCIP_RETCODE SCIPnlpEnsureNlRowsSize | ( | SCIP_NLP * | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| int | num | ||
| ) |
ensures, that nonlinear rows array of NLP can store at least num entries
- Parameters
-
nlp NLP data blkmem block memory set global SCIP settings num minimum number of entries to store
Definition at line 5413 of file nlp.c.
References BMSreallocBlockMemoryArray, SCIP_Nlp::nlrows, SCIP_Nlp::nnlrows, NULL, SCIP_ALLOC, SCIP_OKAY, SCIPsetCalcMemGrowSize(), and SCIP_Nlp::sizenlrows.
Referenced by nlpAddNlRows().
◆ SCIPnlpAddNlRow()
| SCIP_RETCODE SCIPnlpAddNlRow | ( | SCIP_NLP * | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_NLROW * | nlrow | ||
| ) |
adds a nonlinear row to the NLP and captures it all variables of the row need to be present in the NLP
- Parameters
-
nlp NLP data blkmem block memory set global SCIP settings stat problem statistics data nlrow nonlinear row
Definition at line 5441 of file nlp.c.
References SCIP_Nlp::indiving, nlpAddNlRows(), NULL, SCIP_CALL, SCIP_ERROR, SCIP_OKAY, and SCIPerrorMessage.
Referenced by SCIPaddNlRow().
◆ SCIPnlpAddNlRows()
| SCIP_RETCODE SCIPnlpAddNlRows | ( | SCIP_NLP * | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| int | nnlrows, | ||
| SCIP_NLROW ** | nlrows | ||
| ) |
adds nonlinear rows to the NLP and captures them all variables of the row need to be present in the NLP
- Parameters
-
nlp NLP data blkmem block memory set global SCIP settings stat problem statistics data nnlrows number of rows to add nlrows rows to add
Definition at line 5465 of file nlp.c.
References SCIP_Nlp::indiving, nlpAddNlRows(), NULL, SCIP_CALL, SCIP_ERROR, SCIP_OKAY, and SCIPerrorMessage.
◆ SCIPnlpDelNlRow()
| SCIP_RETCODE SCIPnlpDelNlRow | ( | SCIP_NLP * | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_NLROW * | nlrow | ||
| ) |
deletes a nonlinear row from the NLP does nothing if nonlinear row is not in NLP
- Parameters
-
nlp NLP data blkmem block memory set global SCIP settings nlrow nonlinear row
Definition at line 5493 of file nlp.c.
References SCIP_Nlp::indiving, nlpDelNlRowPos(), SCIP_NlRow::nlpindex, SCIP_Nlp::nnlrows, NULL, SCIP_CALL, SCIP_ERROR, SCIP_OKAY, and SCIPerrorMessage.
◆ SCIPnlpFlush()
| SCIP_RETCODE SCIPnlpFlush | ( | SCIP_NLP * | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set | ||
| ) |
applies all cached changes to the NLP solver
- Parameters
-
nlp current NLP data blkmem block memory set global SCIP settings
Definition at line 5524 of file nlp.c.
References SCIP_Nlp::indiving, nlpFlushNlRowAdditions(), nlpFlushNlRowDeletions(), nlpFlushObjective(), nlpFlushVarAdditions(), nlpFlushVarDeletions(), SCIP_Nlp::nnlrows, SCIP_Nlp::nnlrows_solver, NULL, SCIP_Nlp::nunflushednlrowadd, SCIP_Nlp::nunflushednlrowdel, SCIP_Nlp::nunflushedvaradd, SCIP_Nlp::nunflushedvardel, SCIP_Nlp::nvars, SCIP_Nlp::nvars_solver, SCIP_Nlp::objflushed, SCIP_CALL, SCIP_ERROR, SCIP_OKAY, SCIPerrorMessage, and TRUE.
Referenced by SCIPflushNLP(), SCIPnlpReset(), SCIPnlpSolve(), and SCIPnlpStartDive().
◆ SCIPnlpSolve()
| SCIP_RETCODE SCIPnlpSolve | ( | SCIP_NLP * | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_MESSAGEHDLR * | messagehdlr, | ||
| SCIP_STAT * | stat | ||
| ) |
solves the NLP
- Parameters
-
nlp NLP data blkmem block memory buffers set global SCIP settings messagehdlr message handler stat problem statistics
Definition at line 5561 of file nlp.c.
References SCIP_Nlp::indiving, nlpSolve(), NULL, SCIP_CALL, SCIP_ERROR, SCIP_OKAY, SCIPerrorMessage, and SCIPnlpFlush().
Referenced by SCIPsolveNLP().
◆ SCIPnlpGetObjval()
gets objective value of current NLP
- Parameters
-
nlp current NLP data
Definition at line 5588 of file nlp.c.
References NULL, and SCIP_Nlp::primalsolobjval.
Referenced by SCIPgetNLPObjval(), and SCIPsolLinkNLPSol().
◆ SCIPnlpGetPseudoObjval()
| SCIP_RETCODE SCIPnlpGetPseudoObjval | ( | SCIP_NLP * | nlp, |
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_Real * | pseudoobjval | ||
| ) |
gives current pseudo objective value
- Parameters
-
nlp current NLP data set global SCIP settings stat problem statistics pseudoobjval buffer to store pseudo objective value
Definition at line 5598 of file nlp.c.
References SCIP_Nlp::divingobj, SCIP_Nlp::indiving, NULL, SCIP_Nlp::nvars, SCIP_CALL, SCIP_OKAY, SCIPnlrowGetPseudoActivity(), SCIPvarGetBestBoundLocal(), SCIPvarGetObj(), and SCIP_Nlp::vars.
◆ SCIPnlpGetFracVars()
| SCIP_RETCODE SCIPnlpGetFracVars | ( | SCIP_NLP * | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_VAR *** | fracvars, | ||
| SCIP_Real ** | fracvarssol, | ||
| SCIP_Real ** | fracvarsfrac, | ||
| int * | nfracvars, | ||
| int * | npriofracvars | ||
| ) |
gets fractional variables of last NLP solution along with solution values and fractionalities
- Parameters
-
nlp NLP data structure blkmem block memory set global SCIP settings stat problem statistics fracvars pointer to store the array of NLP fractional variables, or NULL fracvarssol pointer to store the array of NLP fractional variables solution values, or NULL fracvarsfrac pointer to store the array of NLP fractional variables fractionalities, or NULL nfracvars pointer to store the number of NLP fractional variables , or NULL npriofracvars pointer to store the number of NLP fractional variables with maximal branching priority, or NULL
Definition at line 5627 of file nlp.c.
References SCIP_Nlp::fracvars, SCIP_Nlp::fracvarsfrac, SCIP_Nlp::fracvarssol, SCIP_Nlp::nfracvars, nlpCalcFracVars(), SCIP_Nlp::npriofracvars, NULL, SCIP_CALL, and SCIP_OKAY.
Referenced by SCIPgetNLPFracVars().
◆ SCIPnlpRemoveRedundantNlRows()
| SCIP_RETCODE SCIPnlpRemoveRedundantNlRows | ( | SCIP_NLP * | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat | ||
| ) |
removes all redundant nonlinear rows
- Parameters
-
nlp current NLP data blkmem block memory buffers set global SCIP settings stat problem statistics
Definition at line 5661 of file nlp.c.
References SCIP_Nlp::indiving, nlpDelNlRowPos(), SCIP_Nlp::nlrows, SCIP_Nlp::nnlrows, NULL, SCIP_Bool, SCIP_CALL, SCIP_ERROR, SCIP_OKAY, SCIPerrorMessage, SCIPnlrowIsRedundant(), and SCIP_Nlp::solstat.
◆ SCIPnlpSetInitialGuess()
| SCIP_RETCODE SCIPnlpSetInitialGuess | ( | SCIP_NLP * | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_Real * | initguess | ||
| ) |
set initial guess (approximate primal solution) for next solve
array initguess must be NULL or have length at least SCIPnlpGetNVars()
- Parameters
-
nlp current NLP data blkmem block memory buffers initguess new initial guess, or NULL to clear previous one
Definition at line 5707 of file nlp.c.
References BMScopyMemoryArray, BMSduplicateBlockMemoryArray, FALSE, SCIP_Nlp::haveinitguess, SCIP_Nlp::initialguess, NULL, SCIP_Nlp::nvars, SCIP_Nlp::problem, SCIP_ALLOC, SCIP_CALL, SCIP_OKAY, SCIPnlpiSetInitialGuess(), SCIP_Nlp::solver, and TRUE.
Referenced by SCIPsetNLPInitialGuess(), and SCIPsetNLPInitialGuessSol().
◆ SCIPnlpWrite()
| SCIP_RETCODE SCIPnlpWrite | ( | SCIP_NLP * | nlp, |
| SCIP_SET * | set, | ||
| SCIP_MESSAGEHDLR * | messagehdlr, | ||
| const char * | fname | ||
| ) |
writes NLP to a file
- Parameters
-
nlp current NLP data set global SCIP settings messagehdlr message handler fname file name
Definition at line 5740 of file nlp.c.
References SCIP_Nlp::name, SCIP_Nlp::nlrows, SCIP_Nlp::nnlrows, NULL, SCIP_Nlp::nvars, SCIP_CALL, SCIP_FILECREATEERROR, SCIP_OKAY, SCIPerrorMessage, SCIPmessageFPrintInfo(), SCIPnlrowPrint(), SCIPvarPrint(), and SCIP_Nlp::vars.
Referenced by SCIPwriteNLP().
◆ SCIPnlpGetVars()
gets array with variables of the NLP
- Parameters
-
nlp current NLP data
Definition at line 5791 of file nlp.c.
References NULL, and SCIP_Nlp::vars.
Referenced by SCIPgetNLPVars(), SCIPgetNLPVarsData(), SCIPsetNLPInitialGuessSol(), and SCIPsolLinkNLPSol().
◆ SCIPnlpGetNVars()
| int SCIPnlpGetNVars | ( | SCIP_NLP * | nlp | ) |
gets current number of variables in NLP
- Parameters
-
nlp current NLP data
Definition at line 5801 of file nlp.c.
References NULL, and SCIP_Nlp::nvars.
Referenced by SCIPgetNLPVarsData(), SCIPgetNNLPVars(), SCIPsetNLPInitialGuessSol(), and SCIPsolLinkNLPSol().
◆ SCIPnlpGetVarsNonlinearity()
| SCIP_RETCODE SCIPnlpGetVarsNonlinearity | ( | SCIP_NLP * | nlp, |
| int * | nlcount | ||
| ) |
computes for each variables the number of NLP rows in which the variable appears in a nonlinear var
- Parameters
-
nlp current NLP data nlcount an array of length at least SCIPnlpGetNVars() to store nonlinearity counts of variables
Definition at line 5811 of file nlp.c.
References BMSclearMemoryArray, SCIP_NlRow::exprtree, SCIP_Nlp::nlrows, SCIP_Nlp::nnlrows, SCIP_NlRow::nquadvars, NULL, SCIP_Nlp::nvars, SCIP_NlRow::quadvars, SCIP_NlRow::quadvarshash, SCIP_OKAY, SCIPexprtreeGetNVars(), SCIPexprtreeGetVars(), SCIPhashmapExists(), SCIPhashmapGetImage(), and SCIP_Nlp::varhash.
Referenced by SCIPgetNLPVarsNonlinearity().
◆ SCIPnlpHasContinuousNonlinearity()
indicates whether there exists a row that contains a continuous variable in a nonlinear term
- Note
- The method may have to touch every row and nonlinear term to compute its result.
- Parameters
-
nlp current NLP data
Definition at line 5870 of file nlp.c.
References SCIP_NlRow::exprtree, FALSE, SCIP_Nlp::nlrows, SCIP_Nlp::nnlrows, SCIP_NlRow::nquadvars, NULL, SCIP_NlRow::quadvars, SCIP_VARTYPE_CONTINUOUS, SCIPexprtreeGetNVars(), SCIPexprtreeGetVars(), SCIPvarGetType(), and TRUE.
Referenced by SCIPhasNLPContinuousNonlinearity().
◆ SCIPnlpGetVarsLbDualsol()
gives dual solution values associated with lower bounds of NLP variables
- Parameters
-
nlp current NLP data
Definition at line 5908 of file nlp.c.
References NULL, and SCIP_Nlp::varlbdualvals.
Referenced by SCIPgetNLPVarsLbDualsol().
◆ SCIPnlpGetVarsUbDualsol()
gives dual solution values associated with upper bounds of NLP variables
- Parameters
-
nlp current NLP data
Definition at line 5918 of file nlp.c.
References NULL, and SCIP_Nlp::varubdualvals.
Referenced by SCIPgetNLPVarsUbDualsol().
◆ SCIPnlpGetNlRows()
| SCIP_NLROW** SCIPnlpGetNlRows | ( | SCIP_NLP * | nlp | ) |
gets array with nonlinear rows of the NLP
- Parameters
-
nlp current NLP data
Definition at line 5928 of file nlp.c.
References SCIP_Nlp::nlrows, and NULL.
Referenced by SCIPgetNLPNlRows(), and SCIPgetNLPNlRowsData().
◆ SCIPnlpGetNNlRows()
| int SCIPnlpGetNNlRows | ( | SCIP_NLP * | nlp | ) |
gets current number of nonlinear rows in NLP
- Parameters
-
nlp current NLP data
Definition at line 5938 of file nlp.c.
References SCIP_Nlp::nnlrows, and NULL.
Referenced by SCIPgetNLPNlRowsData(), and SCIPgetNNLPNlRows().
◆ SCIPnlpGetNLPI()
gets the NLP solver interface
- Parameters
-
nlp current NLP data
Definition at line 5948 of file nlp.c.
References NULL, and SCIP_Nlp::solver.
Referenced by SCIPgetNLPI().
◆ SCIPnlpGetNLPIProblem()
| SCIP_NLPIPROBLEM* SCIPnlpGetNLPIProblem | ( | SCIP_NLP * | nlp | ) |
gets the NLP problem in the solver interface
- Parameters
-
nlp current NLP data
Definition at line 5958 of file nlp.c.
References NULL, and SCIP_Nlp::problem.
Referenced by SCIPgetNLPI().
◆ SCIPnlpIsDiving()
indicates whether NLP is currently in diving mode
- Parameters
-
nlp current NLP data
Definition at line 5968 of file nlp.c.
References SCIP_Nlp::indiving, and NULL.
◆ SCIPnlpGetSolstat()
| SCIP_NLPSOLSTAT SCIPnlpGetSolstat | ( | SCIP_NLP * | nlp | ) |
gets solution status of current NLP
- Parameters
-
nlp current NLP data
Definition at line 5978 of file nlp.c.
References NULL, and SCIP_Nlp::solstat.
Referenced by SCIPgetNLPSolstat(), SCIPlinkNLPSol(), and SCIPsolLinkNLPSol().
◆ SCIPnlpGetTermstat()
| SCIP_NLPTERMSTAT SCIPnlpGetTermstat | ( | SCIP_NLP * | nlp | ) |
gets termination status of last NLP solve
- Parameters
-
nlp current NLP data
Definition at line 5988 of file nlp.c.
References NULL, and SCIP_Nlp::termstat.
Referenced by SCIPgetNLPTermstat().
◆ SCIPnlpGetStatistics()
| SCIP_RETCODE SCIPnlpGetStatistics | ( | SCIP_NLP * | nlp, |
| SCIP_NLPSTATISTICS * | statistics | ||
| ) |
gives statistics (number of iterations, solving time, ...) of last NLP solve
- Parameters
-
nlp pointer to NLP datastructure statistics pointer to store statistics
Definition at line 5998 of file nlp.c.
References NULL, SCIP_Nlp::problem, SCIP_CALL, SCIP_OKAY, SCIPnlpiGetStatistics(), and SCIP_Nlp::solver.
Referenced by SCIPgetNLPStatistics().
◆ SCIPnlpHasSolution()
indicates whether a feasible solution for the current NLP is available thus, returns whether the solution status <= feasible
- Parameters
-
nlp current NLP data
Definition at line 6015 of file nlp.c.
References NULL, SCIP_NLPSOLSTAT_FEASIBLE, and SCIP_Nlp::solstat.
Referenced by nlpCalcFracVars(), SCIPcreateNLPSol(), SCIPgetNlRowActivity(), SCIPgetNlRowFeasibility(), SCIPgetNlRowSolActivity(), SCIPgetNlRowSolFeasibility(), SCIPhasNLPSolution(), and SCIPrecalcNlRowActivity().
◆ SCIPnlpGetIntPar()
| SCIP_RETCODE SCIPnlpGetIntPar | ( | SCIP_NLP * | nlp, |
| SCIP_NLPPARAM | type, | ||
| int * | ival | ||
| ) |
gets integer parameter of NLP
- Parameters
-
nlp pointer to NLP datastructure type parameter number ival pointer to store the parameter value
Definition at line 6025 of file nlp.c.
References NULL, SCIP_Nlp::problem, SCIP_CALL, SCIP_OKAY, SCIPnlpiGetIntPar(), and SCIP_Nlp::solver.
Referenced by SCIPgetNLPIntPar().
◆ SCIPnlpSetIntPar()
| SCIP_RETCODE SCIPnlpSetIntPar | ( | SCIP_NLP * | nlp, |
| SCIP_NLPPARAM | type, | ||
| int | ival | ||
| ) |
sets integer parameter of NLP
- Parameters
-
nlp pointer to NLP datastructure type parameter number ival parameter value
Definition at line 6042 of file nlp.c.
References NULL, SCIP_Nlp::problem, SCIP_CALL, SCIP_OKAY, SCIPnlpiSetIntPar(), and SCIP_Nlp::solver.
Referenced by SCIPsetNLPIntPar().
◆ SCIPnlpGetRealPar()
| SCIP_RETCODE SCIPnlpGetRealPar | ( | SCIP_NLP * | nlp, |
| SCIP_NLPPARAM | type, | ||
| SCIP_Real * | dval | ||
| ) |
gets floating point parameter of NLP
- Parameters
-
nlp pointer to NLP datastructure type parameter number dval pointer to store the parameter value
Definition at line 6058 of file nlp.c.
References NULL, SCIP_Nlp::problem, SCIP_CALL, SCIP_OKAY, SCIPnlpiGetRealPar(), and SCIP_Nlp::solver.
Referenced by SCIPgetNLPRealPar().
◆ SCIPnlpSetRealPar()
| SCIP_RETCODE SCIPnlpSetRealPar | ( | SCIP_NLP * | nlp, |
| SCIP_NLPPARAM | type, | ||
| SCIP_Real | dval | ||
| ) |
sets floating point parameter of NLP
- Parameters
-
nlp pointer to NLP datastructure type parameter number dval parameter value
Definition at line 6075 of file nlp.c.
References NULL, SCIP_Nlp::problem, SCIP_CALL, SCIP_OKAY, SCIPnlpiSetRealPar(), and SCIP_Nlp::solver.
Referenced by SCIPsetNLPRealPar().
◆ SCIPnlpGetStringPar()
| SCIP_RETCODE SCIPnlpGetStringPar | ( | SCIP_NLP * | nlp, |
| SCIP_NLPPARAM | type, | ||
| const char ** | sval | ||
| ) |
gets string parameter of NLP
- Parameters
-
nlp pointer to NLP datastructure type parameter number sval pointer to store the parameter value
Definition at line 6091 of file nlp.c.
References NULL, SCIP_Nlp::problem, SCIP_CALL, SCIP_OKAY, SCIPnlpiGetStringPar(), and SCIP_Nlp::solver.
Referenced by SCIPgetNLPStringPar().
◆ SCIPnlpSetStringPar()
| SCIP_RETCODE SCIPnlpSetStringPar | ( | SCIP_NLP * | nlp, |
| SCIP_NLPPARAM | type, | ||
| const char * | sval | ||
| ) |
sets string parameter of NLP
- Parameters
-
nlp pointer to NLP datastructure type parameter number sval parameter value
Definition at line 6108 of file nlp.c.
References NULL, SCIP_Nlp::problem, SCIP_CALL, SCIP_OKAY, SCIPnlpiSetStringPar(), and SCIP_Nlp::solver.
Referenced by SCIPsetNLPStringPar().
◆ SCIPnlpStartDive()
| SCIP_RETCODE SCIPnlpStartDive | ( | SCIP_NLP * | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set | ||
| ) |
signals start of diving
- Parameters
-
nlp current NLP data blkmem block memory buffers set global SCIP settings
Definition at line 6128 of file nlp.c.
References SCIP_Nlp::indiving, NULL, SCIP_CALL, SCIP_ERROR, SCIP_OKAY, SCIPerrorMessage, SCIPnlpFlush(), SCIP_Nlp::solver, and TRUE.
Referenced by SCIPstartDiveNLP().
◆ SCIPnlpEndDive()
| SCIP_RETCODE SCIPnlpEndDive | ( | SCIP_NLP * | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set | ||
| ) |
resets the bound and objective changes made during diving and disables diving mode
- Parameters
-
nlp current NLP data blkmem block memory set global SCIP settings
Definition at line 6158 of file nlp.c.
References SCIP_Nlp::divingobj, FALSE, SCIP_Nlp::indiving, NULL, SCIP_Nlp::nvars, SCIP_Nlp::nvars_solver, SCIP_Nlp::objflushed, SCIP_Nlp::primalsolobjval, SCIP_Nlp::problem, SCIP_CALL, SCIP_ERROR, SCIP_INVALID, SCIP_NLPSOLSTAT_UNKNOWN, SCIP_NLPTERMSTAT_OTHER, SCIP_OKAY, SCIP_Real, SCIPerrorMessage, SCIPnlpiChgVarBounds(), SCIPnlrowRelease(), SCIPsetAllocBufferArray, SCIPsetFreeBufferArray, SCIPvarGetLbLocal(), SCIPvarGetUbLocal(), SCIP_Nlp::solstat, SCIP_Nlp::solver, SCIP_Nlp::termstat, SCIP_Nlp::varmap_nlpi2nlp, and SCIP_Nlp::vars.
Referenced by SCIPendDiveNLP(), and SCIPnlpReset().
◆ SCIPnlpChgVarObjDive()
| SCIP_RETCODE SCIPnlpChgVarObjDive | ( | SCIP_NLP * | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_STAT * | stat, | ||
| SCIP_VAR * | var, | ||
| SCIP_Real | coef | ||
| ) |
changes coefficient of variable in diving NLP
- Parameters
-
nlp current NLP data blkmem block memory set global SCIP settings stat problem statistics data var variable which coefficient to change coef new linear coefficient of variable in objective
Definition at line 6219 of file nlp.c.
References SCIP_Nlp::divingobj, FALSE, SCIP_Nlp::indiving, NULL, SCIP_Nlp::nvars, SCIP_Nlp::objflushed, SCIP_Nlp::problem, SCIP_CALL, SCIP_EXPRCURV_LINEAR, SCIP_OKAY, SCIP_Real, SCIPhashmapExists(), SCIPhashmapGetImage(), SCIPnlpiChgLinearCoefs(), SCIPnlrowChgLinearCoef(), SCIPnlrowCreate(), SCIPsetAllocBufferArray, SCIPsetFreeBufferArray, SCIPsetInfinity(), SCIPvarGetObj(), SCIP_Nlp::solver, SCIP_Nlp::varhash, SCIP_Nlp::varmap_nlp2nlpi, and SCIP_Nlp::vars.
Referenced by SCIPchgVarObjDiveNLP().
◆ SCIPnlpChgVarBoundsDive()
| SCIP_RETCODE SCIPnlpChgVarBoundsDive | ( | SCIP_NLP * | nlp, |
| SCIP_VAR * | var, | ||
| SCIP_Real | lb, | ||
| SCIP_Real | ub | ||
| ) |
changes bounds of variable in diving NLP
- Parameters
-
nlp current NLP data var variable which coefficient to change lb new lower bound of variable ub new upper bound of variable
Definition at line 6279 of file nlp.c.
References SCIP_Nlp::indiving, NULL, SCIP_Nlp::problem, SCIP_CALL, SCIP_OKAY, SCIPhashmapExists(), SCIPhashmapGetImage(), SCIPnlpiChgVarBounds(), SCIP_Nlp::solver, SCIP_Nlp::varhash, and SCIP_Nlp::varmap_nlp2nlpi.
Referenced by SCIPchgVarBoundsDiveNLP().
◆ SCIPnlpChgVarsBoundsDive()
| SCIP_RETCODE SCIPnlpChgVarsBoundsDive | ( | SCIP_NLP * | nlp, |
| SCIP_SET * | set, | ||
| int | nvars, | ||
| SCIP_VAR ** | vars, | ||
| SCIP_Real * | lbs, | ||
| SCIP_Real * | ubs | ||
| ) |
changes bounds of a set of variables in diving NLP
- Parameters
-
nlp current NLP data set global SCIP settings nvars number of variables which bounds to change vars variables which bounds to change lbs new lower bounds of variables ubs new upper bounds of variables
Definition at line 6307 of file nlp.c.
References SCIP_Nlp::indiving, NULL, SCIP_Nlp::problem, SCIP_CALL, SCIP_OKAY, SCIPhashmapExists(), SCIPhashmapGetImage(), SCIPnlpiChgVarBounds(), SCIPsetAllocBufferArray, SCIPsetFreeBufferArray, SCIP_Nlp::solver, SCIP_Nlp::varhash, and SCIP_Nlp::varmap_nlp2nlpi.
Referenced by SCIPchgVarsBoundsDiveNLP().
◆ SCIPnlpIsDivingObjChanged()
returns whether the objective function has been changed during diving
- Parameters
-
nlp current NLP data
Definition at line 6351 of file nlp.c.
References SCIP_Nlp::divingobj, and NULL.
Referenced by SCIPsolLinkNLPSol().
◆ SCIPnlpSolveDive()
| SCIP_RETCODE SCIPnlpSolveDive | ( | SCIP_NLP * | nlp, |
| BMS_BLKMEM * | blkmem, | ||
| SCIP_SET * | set, | ||
| SCIP_MESSAGEHDLR * | messagehdlr, | ||
| SCIP_STAT * | stat | ||
| ) |
solves diving NLP
- Parameters
-
nlp current NLP data blkmem block memory buffers set global SCIP settings messagehdlr message handler stat problem statistics
Definition at line 6359 of file nlp.c.
References nlpSolve(), SCIP_CALL, and SCIP_OKAY.
Referenced by SCIPsolveDiveNLP().