Detailed Description

methods for the creation and interaction with rows of the NLP relaxation

Functions
SCIP_Real	SCIPnlrowGetConstant (SCIP_NLROW *nlrow)

int	SCIPnlrowGetNLinearVars (SCIP_NLROW *nlrow)

SCIP_VAR **	SCIPnlrowGetLinearVars (SCIP_NLROW *nlrow)

SCIP_Real *	SCIPnlrowGetLinearCoefs (SCIP_NLROW *nlrow)

int	SCIPnlrowGetNQuadVars (SCIP_NLROW *nlrow)

SCIP_VAR **	SCIPnlrowGetQuadVars (SCIP_NLROW *nlrow)

int	SCIPnlrowSearchQuadVar (SCIP_NLROW nlrow, SCIP_VAR var)

int	SCIPnlrowGetNQuadElems (SCIP_NLROW *nlrow)

SCIP_QUADELEM *	SCIPnlrowGetQuadElems (SCIP_NLROW *nlrow)

void	SCIPnlrowGetQuadData (SCIP_NLROW nlrow, int nquadvars, SCIP_VAR **quadvars, int nquadelems, SCIP_QUADELEM **quadelems)

SCIP_EXPRTREE *	SCIPnlrowGetExprtree (SCIP_NLROW *nlrow)

SCIP_Real	SCIPnlrowGetLhs (SCIP_NLROW *nlrow)

SCIP_Real	SCIPnlrowGetRhs (SCIP_NLROW *nlrow)

SCIP_EXPRCURV	SCIPnlrowGetCurvature (SCIP_NLROW *nlrow)

void	SCIPnlrowSetCurvature (SCIP_NLROW *nlrow, SCIP_EXPRCURV curvature)

const char *	SCIPnlrowGetName (SCIP_NLROW *nlrow)

int	SCIPnlrowGetNLPPos (SCIP_NLROW *nlrow)

SCIP_Bool	SCIPnlrowIsInNLP (SCIP_NLROW *nlrow)

SCIP_Real	SCIPnlrowGetDualsol (SCIP_NLROW *nlrow)

SCIP_RETCODE	SCIPcreateNlRow (SCIP scip, SCIP_NLROW nlrow, 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 *expression, SCIP_Real lhs, SCIP_Real rhs, SCIP_EXPRCURV curvature)

SCIP_RETCODE	SCIPcreateEmptyNlRow (SCIP scip, SCIP_NLROW nlrow, const char name, SCIP_Real lhs, SCIP_Real rhs)

SCIP_RETCODE	SCIPcreateNlRowFromRow (SCIP scip, SCIP_NLROW nlrow, SCIP_ROW row)

SCIP_RETCODE	SCIPcaptureNlRow (SCIP scip, SCIP_NLROW nlrow)

SCIP_RETCODE	SCIPreleaseNlRow (SCIP scip, SCIP_NLROW *nlrow)

SCIP_RETCODE	SCIPchgNlRowLhs (SCIP scip, SCIP_NLROW nlrow, SCIP_Real lhs)

SCIP_RETCODE	SCIPchgNlRowRhs (SCIP scip, SCIP_NLROW nlrow, SCIP_Real rhs)

SCIP_RETCODE	SCIPchgNlRowConstant (SCIP scip, SCIP_NLROW nlrow, SCIP_Real constant)

SCIP_RETCODE	SCIPaddLinearCoefToNlRow (SCIP scip, SCIP_NLROW nlrow, SCIP_VAR *var, SCIP_Real val)

SCIP_RETCODE	SCIPaddLinearCoefsToNlRow (SCIP scip, SCIP_NLROW nlrow, int nvars, SCIP_VAR *vars, SCIP_Real vals)

SCIP_RETCODE	SCIPchgNlRowLinearCoef (SCIP scip, SCIP_NLROW nlrow, SCIP_VAR *var, SCIP_Real coef)

SCIP_RETCODE	SCIPaddQuadVarToNlRow (SCIP scip, SCIP_NLROW nlrow, SCIP_VAR *var)

SCIP_RETCODE	SCIPaddQuadVarsToNlRow (SCIP scip, SCIP_NLROW nlrow, int nvars, SCIP_VAR **vars)

SCIP_RETCODE	SCIPaddQuadElementToNlRow (SCIP scip, SCIP_NLROW nlrow, SCIP_QUADELEM quadelem)

SCIP_RETCODE	SCIPaddQuadElementsToNlRow (SCIP scip, SCIP_NLROW nlrow, int nquadelems, SCIP_QUADELEM *quadelems)

SCIP_RETCODE	SCIPchgNlRowQuadElement (SCIP scip, SCIP_NLROW nlrow, SCIP_QUADELEM quadelement)

SCIP_RETCODE	SCIPsetNlRowExprtree (SCIP scip, SCIP_NLROW nlrow, SCIP_EXPRTREE *exprtree)

SCIP_RETCODE	SCIPsetNlRowExprtreeParam (SCIP scip, SCIP_NLROW nlrow, int paramidx, SCIP_Real paramval)

SCIP_RETCODE	SCIPsetNlRowExprtreeParams (SCIP scip, SCIP_NLROW nlrow, SCIP_Real *paramvals)

SCIP_RETCODE	SCIPrecalcNlRowNLPActivity (SCIP scip, SCIP_NLROW nlrow)

SCIP_RETCODE	SCIPgetNlRowNLPActivity (SCIP scip, SCIP_NLROW nlrow, SCIP_Real *activity)

SCIP_RETCODE	SCIPgetNlRowNLPFeasibility (SCIP scip, SCIP_NLROW nlrow, SCIP_Real *feasibility)

SCIP_RETCODE	SCIPrecalcNlRowPseudoActivity (SCIP scip, SCIP_NLROW nlrow)

SCIP_RETCODE	SCIPgetNlRowPseudoActivity (SCIP scip, SCIP_NLROW nlrow, SCIP_Real *pseudoactivity)

SCIP_RETCODE	SCIPgetNlRowPseudoFeasibility (SCIP scip, SCIP_NLROW nlrow, SCIP_Real *pseudofeasibility)

SCIP_RETCODE	SCIPrecalcNlRowActivity (SCIP scip, SCIP_NLROW nlrow)

SCIP_RETCODE	SCIPgetNlRowActivity (SCIP scip, SCIP_NLROW nlrow, SCIP_Real *activity)

SCIP_RETCODE	SCIPgetNlRowFeasibility (SCIP scip, SCIP_NLROW nlrow, SCIP_Real *feasibility)

SCIP_RETCODE	SCIPgetNlRowSolActivity (SCIP scip, SCIP_NLROW nlrow, SCIP_SOL sol, SCIP_Real activity)

SCIP_RETCODE	SCIPgetNlRowSolFeasibility (SCIP scip, SCIP_NLROW nlrow, SCIP_SOL sol, SCIP_Real feasibility)

SCIP_RETCODE	SCIPgetNlRowActivityBounds (SCIP scip, SCIP_NLROW nlrow, SCIP_Real minactivity, SCIP_Real maxactivity)

SCIP_RETCODE	SCIPprintNlRow (SCIP scip, SCIP_NLROW nlrow, FILE *file)

Function Documentation

◆ SCIPnlrowGetConstant()

SCIP_Real SCIPnlrowGetConstant ( SCIP_NLROW * nlrow )

gets constant

Parameters

nlrow NLP row

Definition at line 3236 of file nlp.c.

References SCIP_NlRow::constant, and NULL.

Referenced by nlrowaggrCreate(), and SCIPcreateNlpiProb().

◆ SCIPnlrowGetNLinearVars()

int SCIPnlrowGetNLinearVars ( SCIP_NLROW * nlrow )

gets number of variables of linear part

Parameters

nlrow NLP row

Definition at line 3246 of file nlp.c.

References SCIP_NlRow::nlinvars, and NULL.

Referenced by applyHeur(), computeGradient(), generateCut(), heurExec(), nlrowaggrCreate(), and SCIPcreateNlpiProb().

◆ SCIPnlrowGetLinearVars()

SCIP_VAR** SCIPnlrowGetLinearVars ( SCIP_NLROW * nlrow )

gets array with variables of linear part

Parameters

nlrow NLP row

Definition at line 3256 of file nlp.c.

References SCIP_NlRow::linvars, and NULL.

Referenced by computeGradient(), generateCut(), nlrowaggrCreate(), and SCIPcreateNlpiProb().

◆ SCIPnlrowGetLinearCoefs()

SCIP_Real* SCIPnlrowGetLinearCoefs ( SCIP_NLROW * nlrow )

gets array with coefficients in linear part

Parameters

nlrow NLP row

Definition at line 3266 of file nlp.c.

References SCIP_NlRow::lincoefs, and NULL.

Referenced by computeGradient(), generateCut(), nlrowaggrCreate(), and SCIPcreateNlpiProb().

◆ SCIPnlrowGetNQuadVars()

int SCIPnlrowGetNQuadVars ( SCIP_NLROW * nlrow )

gets number of quadratic variables in quadratic part

Parameters

nlrow NLP row

Definition at line 3276 of file nlp.c.

References SCIP_NlRow::nquadvars, and NULL.

Referenced by computeGradient(), createMIP(), createTcliqueGraph(), doSeachEcAggr(), findAndStoreEcAggregations(), isCandidate(), nlrowaggrCreate(), SCIPaddQuadVarsToNlRow(), and searchEcAggrWithCliques().

◆ SCIPnlrowGetQuadVars()

SCIP_VAR** SCIPnlrowGetQuadVars ( SCIP_NLROW * nlrow )

gets quadratic variables in quadratic part

Parameters

nlrow NLP row

Definition at line 3286 of file nlp.c.

References NULL, and SCIP_NlRow::quadvars.

Referenced by computeGradient(), computeInteriorPoint(), createMIP(), createTcliqueGraph(), doSeachEcAggr(), generateCut(), isCandidate(), nlrowaggrCreate(), processNlRow(), and SCIPcreateNlpiProb().

◆ SCIPnlrowSearchQuadVar()

int SCIPnlrowSearchQuadVar	(	SCIP_NLROW *	nlrow,
		SCIP_VAR *	var
	)

gives position of variable in quadvars array of row, or -1 if not found

Parameters

nlrow	nonlinear row
var	variable to search for

Definition at line 3296 of file nlp.c.

References SCIP_NlRow::nquadvars, NULL, SCIP_NlRow::quadvars, SCIP_NlRow::quadvarshash, SCIPhashmapExists(), and SCIPhashmapGetImageInt().

Referenced by createNlRow(), nlpDelVarPos(), nlrowRemoveFixedQuadVars(), nlrowRemoveFixedVar(), and SCIPnlrowAddQuadVar().

◆ SCIPnlrowGetNQuadElems()

int SCIPnlrowGetNQuadElems ( SCIP_NLROW * nlrow )

gets number of quadratic elements in quadratic part

Parameters

nlrow NLP row

Definition at line 3323 of file nlp.c.

References SCIP_NlRow::nquadelems, and NULL.

Referenced by applyHeur(), computeGradient(), computeInteriorPoint(), createMIP(), createTcliqueGraph(), doSeachEcAggr(), generateCut(), heurExec(), isCandidate(), isNlobbtApplicable(), nlrowaggrCreate(), processNlRow(), SCIPaddQuadElementsToNlRow(), SCIPcreateNlpiProb(), searchEcAggrWithCliques(), storeAggrFromMIP(), storeNonlinearConvexNlrows(), and updateMIP().

◆ SCIPnlrowGetQuadElems()

SCIP_QUADELEM* SCIPnlrowGetQuadElems ( SCIP_NLROW * nlrow )

gets quadratic elements in quadratic part

Parameters

nlrow NLP row

Definition at line 3333 of file nlp.c.

References NULL, and SCIP_NlRow::quadelems.

Referenced by computeGradient(), computeInteriorPoint(), createMIP(), createTcliqueGraph(), generateCut(), isCandidate(), nlrowaggrCreate(), processNlRow(), SCIPcreateNlpiProb(), searchEcAggrWithCliques(), storeAggrFromMIP(), and updateMIP().

◆ SCIPnlrowGetQuadData()

void SCIPnlrowGetQuadData	(	SCIP_NLROW *	nlrow,
		int *	nquadvars,
		SCIP_VAR ***	quadvars,
		int *	nquadelems,
		SCIP_QUADELEM **	quadelems
	)

gets array with coefficients in linear part

Parameters

nlrow	NLP row
nquadvars	buffer to store number of variables in quadratic term, or NULL if not of interest
quadvars	buffer to store pointer to array of variables in quadratic term, or NULL if not of interest
nquadelems	buffer to store number of entries in quadratic term, or NULL if not of interest
quadelems	buffer to store pointer to array of entries in quadratic term, or NULL if not of interest

Definition at line 3343 of file nlp.c.

References SCIP_NlRow::nquadelems, SCIP_NlRow::nquadvars, NULL, SCIP_NlRow::quadelems, and SCIP_NlRow::quadvars.

◆ SCIPnlrowGetExprtree()

SCIP_EXPRTREE* SCIPnlrowGetExprtree ( SCIP_NLROW * nlrow )

gets expression tree

Parameters

nlrow NLP row

Definition at line 3364 of file nlp.c.

References SCIP_NlRow::exprtree, and NULL.

Referenced by applyHeur(), computeGradient(), generateCut(), heurExec(), isCandidate(), isNlobbtApplicable(), processNlRow(), SCIPcreateNlpiProb(), and storeNonlinearConvexNlrows().

◆ SCIPnlrowGetLhs()

SCIP_Real SCIPnlrowGetLhs ( SCIP_NLROW * nlrow )

returns the left hand side of a nonlinear row

Parameters

nlrow NLP row

Definition at line 3374 of file nlp.c.

References SCIP_NlRow::lhs, and NULL.

Referenced by computeMaxViolation(), findAndStoreEcAggregations(), findPointPosition(), generateCut(), isCandidate(), isNlobbtApplicable(), nlrowaggrCreate(), processNlRow(), SCIP_DECL_SEPAEXECLP(), SCIPcreateNlpiProb(), separateCuts(), and storeNonlinearConvexNlrows().

◆ SCIPnlrowGetRhs()

SCIP_Real SCIPnlrowGetRhs ( SCIP_NLROW * nlrow )

returns the right hand side of a nonlinear row

Parameters

nlrow NLP row

Definition at line 3384 of file nlp.c.

References NULL, and SCIP_NlRow::rhs.

Referenced by computeMaxViolation(), findAndStoreEcAggregations(), findPointPosition(), generateCut(), improvePoint(), isCandidate(), isNlobbtApplicable(), nlrowaggrCreate(), processNlRow(), SCIP_DECL_SEPAEXECLP(), SCIPcreateNlpiProb(), separateCuts(), and storeNonlinearConvexNlrows().

◆ SCIPnlrowGetCurvature()

SCIP_EXPRCURV SCIPnlrowGetCurvature ( SCIP_NLROW * nlrow )

returns the curvature of a nonlinear row

Parameters

nlrow NLP row

Definition at line 3394 of file nlp.c.

References SCIP_NlRow::curvature, and NULL.

Referenced by computeMaxViolation(), isNlobbtApplicable(), SCIPcreateNlpiProb(), and storeNonlinearConvexNlrows().

◆ SCIPnlrowSetCurvature()

void SCIPnlrowSetCurvature	(	SCIP_NLROW *	nlrow,
		SCIP_EXPRCURV	curvature
	)

sets the curvature of a nonlinear row

Parameters

nlrow	NLP row
curvature	curvature of NLP row

Definition at line 3403 of file nlp.c.

References SCIP_NlRow::curvature, and NULL.

Referenced by SCIPaddQuadElementsToNlRow(), SCIPaddQuadElementToNlRow(), and SCIPsetNlRowExprtree().

◆ SCIPnlrowGetName()

const char* SCIPnlrowGetName ( SCIP_NLROW * nlrow )

returns the name of a nonlinear row

Parameters

nlrow NLP row

Definition at line 3413 of file nlp.c.

References SCIP_NlRow::name, and NULL.

Referenced by findPointPosition(), generateCut(), processNlRow(), SCIPcreateNlpiProb(), and separateCuts().

◆ SCIPnlrowGetNLPPos()

int SCIPnlrowGetNLPPos ( SCIP_NLROW * nlrow )

gets position of a nonlinear row in current NLP, or -1 if not in NLP

Parameters

nlrow NLP row

Definition at line 3423 of file nlp.c.

References SCIP_NlRow::nlpindex, and NULL.

◆ SCIPnlrowIsInNLP()

SCIP_Bool SCIPnlrowIsInNLP ( SCIP_NLROW * nlrow )

returns TRUE iff row is member of current NLP

Parameters

nlrow NLP row

Definition at line 3433 of file nlp.c.

References SCIP_NlRow::nlpindex, and NULL.

Referenced by computeCut(), isCandidate(), and isPossibleToComputeCut().

◆ SCIPnlrowGetDualsol()

SCIP_Real SCIPnlrowGetDualsol ( SCIP_NLROW * nlrow )

gets the dual NLP solution of a nlrow for a ranged constraint, the dual value is positive if the right hand side is active and negative if the left hand side is active

Parameters

nlrow NLP row

Definition at line 3445 of file nlp.c.

References SCIP_NlRow::dualsol, SCIP_NlRow::nlpiindex, and NULL.

Referenced by SCIPapplyHeurDualval().

◆ SCIPcreateNlRow()

SCIP_RETCODE SCIPcreateNlRow	(	SCIP *	scip,
		SCIP_NLROW **	nlrow,
		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 *	expression,
		SCIP_Real	lhs,
		SCIP_Real	rhs,
		SCIP_EXPRCURV	curvature
	)

creates and captures an NLP row

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	buffer to store pointer to nonlinear row
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 variables in quadratic terms
quadvars	variables in quadratic terms, or NULL if nquadvars == 0
nquadelems	number of elements in quadratic term
quadelems	elements (i.e., monomials) in quadratic term, or NULL if nquadelems == 0
expression	nonlinear expression, or NULL
lhs	left hand side
rhs	right hand side
curvature	curvature of the nonlinear row

Definition at line 1242 of file scip_nlp.c.

References FALSE, Scip::mem, SCIP_Mem::probmem, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowCreate(), Scip::set, and TRUE.

Referenced by addKnapsackConstraints(), addLinearConstraints(), addLogicOrConstraints(), addSetppcConstraints(), addVarboundConstraints(), createNlRow(), and SCIP_DECL_CONSINITSOL().

◆ SCIPcreateEmptyNlRow()

SCIP_RETCODE SCIPcreateEmptyNlRow	(	SCIP *	scip,
		SCIP_NLROW **	nlrow,
		const char *	name,
		SCIP_Real	lhs,
		SCIP_Real	rhs
	)

creates and captures an NLP nonlinear row without any coefficients

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	pointer to nonlinear row
name	name of nonlinear row
lhs	left hand side
rhs	right hand side

Definition at line 1278 of file scip_nlp.c.

References FALSE, Scip::mem, NULL, SCIP_Mem::probmem, SCIP_CALL, SCIP_EXPRCURV_UNKNOWN, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowCreate(), Scip::set, and TRUE.

◆ SCIPcreateNlRowFromRow()

SCIP_RETCODE SCIPcreateNlRowFromRow	(	SCIP *	scip,
		SCIP_NLROW **	nlrow,
		SCIP_ROW *	row
	)

creates and captures an NLP row from a linear row

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	pointer to nonlinear row
row	the linear row to copy

Definition at line 1304 of file scip_nlp.c.

References FALSE, Scip::mem, SCIP_Mem::probmem, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowCreateFromRow(), Scip::set, and TRUE.

◆ SCIPcaptureNlRow()

SCIP_RETCODE SCIPcaptureNlRow	(	SCIP *	scip,
		SCIP_NLROW *	nlrow
	)

increases usage counter of NLP nonlinear row

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	nonlinear row to capture

Definition at line 1327 of file scip_nlp.c.

References FALSE, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowCapture(), and TRUE.

◆ SCIPreleaseNlRow()

SCIP_RETCODE SCIPreleaseNlRow	(	SCIP *	scip,
		SCIP_NLROW **	nlrow
	)

decreases usage counter of NLP nonlinear row, and frees memory if necessary

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	pointer to nonlinear row

Definition at line 1350 of file scip_nlp.c.

References FALSE, Scip::mem, SCIP_Mem::probmem, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowRelease(), Scip::set, and TRUE.

Referenced by addBilinearTerm(), addKnapsackConstraints(), addLinearCoef(), addLinearConstraints(), addLogicOrConstraints(), addQuadVarTerm(), addSetppcConstraints(), addVarboundConstraints(), chgLinearCoefPos(), consdataAddExprtrees(), consdataFree(), consdataSetExprtrees(), createNlRow(), delLinearCoefPos(), delQuadVarTermPos(), mergeAndCleanQuadVarTerms(), presolveDisaggregate(), presolveRemoveFixedVariables(), releaseHashmapNLPRows(), removeBilinearTermsPos(), replaceQuadVarTermPos(), SCIP_DECL_CONSDELETE(), SCIP_DECL_CONSEXITSOL(), and SCIP_DECL_CONSINITSOL().

◆ SCIPchgNlRowLhs()

SCIP_RETCODE SCIPchgNlRowLhs	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		SCIP_Real	lhs
	)

changes left hand side of NLP nonlinear row

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP nonlinear row
lhs	new left hand side

Definition at line 1372 of file scip_nlp.c.

References FALSE, Scip::nlp, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowChgLhs(), Scip::set, Scip::stat, and TRUE.

◆ SCIPchgNlRowRhs()

SCIP_RETCODE SCIPchgNlRowRhs	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		SCIP_Real	rhs
	)

changes right hand side of NLP nonlinear row

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP nonlinear row
rhs	new right hand side

Definition at line 1395 of file scip_nlp.c.

References FALSE, Scip::nlp, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowChgRhs(), Scip::set, Scip::stat, and TRUE.

Referenced by createNlRow().

◆ SCIPchgNlRowConstant()

SCIP_RETCODE SCIPchgNlRowConstant	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		SCIP_Real	constant
	)

changes constant of NLP nonlinear row

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP row
constant	new value for constant

Definition at line 1418 of file scip_nlp.c.

References FALSE, Scip::nlp, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowChgConstant(), Scip::set, Scip::stat, and TRUE.

◆ SCIPaddLinearCoefToNlRow()

SCIP_RETCODE SCIPaddLinearCoefToNlRow	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		SCIP_VAR *	var,
		SCIP_Real	val
	)

adds variable with a linear coefficient to the nonlinear row

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP row
var	problem variable
val	value of coefficient in linear part of row

Definition at line 1441 of file scip_nlp.c.

References FALSE, Scip::mem, Scip::nlp, SCIP_Mem::probmem, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowAddLinearCoef(), Scip::set, Scip::stat, and TRUE.

Referenced by createNlRow().

◆ SCIPaddLinearCoefsToNlRow()

SCIP_RETCODE SCIPaddLinearCoefsToNlRow	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		int	nvars,
		SCIP_VAR **	vars,
		SCIP_Real *	vals
	)

adds variables with linear coefficients to the row

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP row
nvars	number of variables to add to the row
vars	problem variables to add
vals	values of coefficients in linear part of row

Definition at line 1465 of file scip_nlp.c.

References FALSE, Scip::mem, Scip::nlp, NULL, SCIP_Mem::probmem, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowAddLinearCoef(), Scip::set, Scip::stat, and TRUE.

Referenced by createNlRow().

◆ SCIPchgNlRowLinearCoef()

SCIP_RETCODE SCIPchgNlRowLinearCoef	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		SCIP_VAR *	var,
		SCIP_Real	coef
	)

changes linear coefficient of a variables in a row

Setting the coefficient to 0.0 means that it is removed from the row the variable does not need to exists before.

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP row
var	variable
coef	new value of coefficient

Definition at line 1502 of file scip_nlp.c.

References FALSE, Scip::mem, Scip::nlp, NULL, SCIP_Mem::probmem, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowChgLinearCoef(), Scip::set, Scip::stat, and TRUE.

◆ SCIPaddQuadVarToNlRow()

SCIP_RETCODE SCIPaddQuadVarToNlRow	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		SCIP_VAR *	var
	)

adds quadratic variable to the nonlinear row

After adding a quadratic variable, it can be used to add quadratic elements.

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP row
var	problem variable

Definition at line 1530 of file scip_nlp.c.

References FALSE, Scip::mem, SCIP_Mem::probmem, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowAddQuadVar(), Scip::set, and TRUE.

Referenced by createNlRow().

◆ SCIPaddQuadVarsToNlRow()

SCIP_RETCODE SCIPaddQuadVarsToNlRow	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		int	nvars,
		SCIP_VAR **	vars
	)

adds quadratic variables to the nonlinear row

After adding quadratic variables, they can be used to add quadratic elements.

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP row
nvars	number of problem variables
vars	problem variables

Definition at line 1555 of file scip_nlp.c.

References FALSE, Scip::mem, NULL, SCIP_Mem::probmem, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowAddQuadVar(), SCIPnlrowEnsureQuadVarsSize(), SCIPnlrowGetNQuadVars(), Scip::set, and TRUE.

◆ SCIPaddQuadElementToNlRow()

SCIP_RETCODE SCIPaddQuadElementToNlRow	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		SCIP_QUADELEM	quadelem
	)

add a quadratic element to the nonlinear row

Variable indices of the quadratic element need to be relative to quadratic variables array of row.

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP row
quadelem	quadratic element

Definition at line 1589 of file scip_nlp.c.

References SCIP_QuadElement::coef, FALSE, Scip::mem, Scip::nlp, SCIP_Mem::probmem, SCIP_CALL, SCIP_EXPRCURV_UNKNOWN, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowAddQuadElement(), SCIPnlrowSetCurvature(), Scip::set, Scip::stat, and TRUE.

Referenced by createNlRow().

◆ SCIPaddQuadElementsToNlRow()

SCIP_RETCODE SCIPaddQuadElementsToNlRow	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		int	nquadelems,
		SCIP_QUADELEM *	quadelems
	)

adds quadratic elements to the nonlinear row

Variable indices of the quadratic elements need to be relative to quadratic variables array of row.

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP row
nquadelems	number of quadratic elements
quadelems	quadratic elements

Definition at line 1618 of file scip_nlp.c.

References FALSE, Scip::mem, Scip::nlp, NULL, SCIP_Mem::probmem, SCIP_CALL, SCIP_EXPRCURV_UNKNOWN, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowAddQuadElement(), SCIPnlrowEnsureQuadElementsSize(), SCIPnlrowGetNQuadElems(), SCIPnlrowSetCurvature(), Scip::set, Scip::stat, and TRUE.

◆ SCIPchgNlRowQuadElement()

SCIP_RETCODE SCIPchgNlRowQuadElement	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		SCIP_QUADELEM	quadelement
	)

changes coefficient in quadratic part of a row

Setting the coefficient in the quadelement to 0.0 means that it is removed from the row the element does not need to exists before.

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP row
quadelement	new quadratic element, or update for existing one

Definition at line 1656 of file scip_nlp.c.

References FALSE, Scip::mem, Scip::nlp, SCIP_Mem::probmem, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowChgQuadElem(), Scip::set, Scip::stat, and TRUE.

◆ SCIPsetNlRowExprtree()

SCIP_RETCODE SCIPsetNlRowExprtree	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		SCIP_EXPRTREE *	exprtree
	)

sets or deletes expression tree in the nonlinear row

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP row
exprtree	expression tree, or NULL

Definition at line 1679 of file scip_nlp.c.

References FALSE, Scip::mem, Scip::nlp, SCIP_Mem::probmem, SCIP_CALL, SCIP_EXPRCURV_UNKNOWN, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowChgExprtree(), SCIPnlrowSetCurvature(), Scip::set, Scip::stat, and TRUE.

◆ SCIPsetNlRowExprtreeParam()

SCIP_RETCODE SCIPsetNlRowExprtreeParam	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		int	paramidx,
		SCIP_Real	paramval
	)

sets a parameter of expression tree in the nonlinear row

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP row
paramidx	index of parameter in expression tree
paramval	new value of parameter in expression tree

Definition at line 1705 of file scip_nlp.c.

References FALSE, Scip::mem, Scip::nlp, SCIP_Mem::probmem, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowChgExprtreeParam(), Scip::set, Scip::stat, and TRUE.

◆ SCIPsetNlRowExprtreeParams()

SCIP_RETCODE SCIPsetNlRowExprtreeParams	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		SCIP_Real *	paramvals
	)

sets parameters of expression tree in the nonlinear row

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP row
paramvals	new values of parameter in expression tree

Definition at line 1729 of file scip_nlp.c.

References FALSE, Scip::mem, Scip::nlp, SCIP_Mem::probmem, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowChgExprtreeParams(), Scip::set, Scip::stat, and TRUE.

◆ SCIPrecalcNlRowNLPActivity()

SCIP_RETCODE SCIPrecalcNlRowNLPActivity	(	SCIP *	scip,
		SCIP_NLROW *	nlrow
	)

recalculates the activity of a nonlinear row in the last NLP solution

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP nonlinear row

Definition at line 1752 of file scip_nlp.c.

References FALSE, Scip::nlp, NULL, SCIP_CALL, SCIP_INVALIDCALL, SCIP_OKAY, SCIPcheckStage(), SCIPerrorMessage, SCIPnlrowRecalcNLPActivity(), Scip::set, Scip::stat, and TRUE.

◆ SCIPgetNlRowNLPActivity()

SCIP_RETCODE SCIPgetNlRowNLPActivity	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		SCIP_Real *	activity
	)

returns the activity of a nonlinear row in the last NLP solution

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP nonlinear row
activity	pointer to store activity value

Definition at line 1779 of file scip_nlp.c.

References FALSE, Scip::nlp, NULL, SCIP_CALL, SCIP_INVALIDCALL, SCIP_OKAY, SCIPcheckStage(), SCIPerrorMessage, SCIPnlrowGetNLPActivity(), Scip::set, Scip::stat, and TRUE.

◆ SCIPgetNlRowNLPFeasibility()

SCIP_RETCODE SCIPgetNlRowNLPFeasibility	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		SCIP_Real *	feasibility
	)

gives the feasibility of a nonlinear row in the last NLP solution: negative value means infeasibility

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP nonlinear row
feasibility	pointer to store feasibility value

Definition at line 1807 of file scip_nlp.c.

References FALSE, Scip::nlp, NULL, SCIP_CALL, SCIP_INVALIDCALL, SCIP_OKAY, SCIPcheckStage(), SCIPerrorMessage, SCIPnlrowGetNLPFeasibility(), Scip::set, Scip::stat, and TRUE.

◆ SCIPrecalcNlRowPseudoActivity()

SCIP_RETCODE SCIPrecalcNlRowPseudoActivity	(	SCIP *	scip,
		SCIP_NLROW *	nlrow
	)

recalculates the activity of a nonlinear row for the current pseudo solution

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP nonlinear row

Definition at line 1835 of file scip_nlp.c.

References FALSE, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowRecalcPseudoActivity(), Scip::set, Scip::stat, and TRUE.

◆ SCIPgetNlRowPseudoActivity()

SCIP_RETCODE SCIPgetNlRowPseudoActivity	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		SCIP_Real *	pseudoactivity
	)

gives the activity of a nonlinear row for the current pseudo solution

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP nonlinear row
pseudoactivity	pointer to store pseudo activity value

Definition at line 1856 of file scip_nlp.c.

References FALSE, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowGetPseudoActivity(), Scip::set, Scip::stat, and TRUE.

◆ SCIPgetNlRowPseudoFeasibility()

SCIP_RETCODE SCIPgetNlRowPseudoFeasibility	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		SCIP_Real *	pseudofeasibility
	)

gives the feasibility of a nonlinear row for the current pseudo solution: negative value means infeasibility

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP nonlinear row
pseudofeasibility	pointer to store pseudo feasibility value

Definition at line 1878 of file scip_nlp.c.

References FALSE, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowGetPseudoFeasibility(), Scip::set, Scip::stat, and TRUE.

◆ SCIPrecalcNlRowActivity()

SCIP_RETCODE SCIPrecalcNlRowActivity	(	SCIP *	scip,
		SCIP_NLROW *	nlrow
	)

recalculates the activity of a nonlinear row in the last NLP or pseudo solution

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP nonlinear row

Definition at line 1900 of file scip_nlp.c.

References FALSE, Scip::nlp, NULL, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlpHasCurrentNodeNLP(), SCIPnlpHasSolution(), SCIPnlrowRecalcNLPActivity(), SCIPnlrowRecalcPseudoActivity(), Scip::set, Scip::stat, and TRUE.

◆ SCIPgetNlRowActivity()

SCIP_RETCODE SCIPgetNlRowActivity	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		SCIP_Real *	activity
	)

gives the activity of a nonlinear row in the last NLP or pseudo solution

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP nonlinear row
activity	pointer to store activity value

Definition at line 1928 of file scip_nlp.c.

References FALSE, Scip::nlp, NULL, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlpHasCurrentNodeNLP(), SCIPnlpHasSolution(), SCIPnlrowGetNLPActivity(), SCIPnlrowGetPseudoActivity(), Scip::set, Scip::stat, and TRUE.

◆ SCIPgetNlRowFeasibility()

SCIP_RETCODE SCIPgetNlRowFeasibility	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		SCIP_Real *	feasibility
	)

gives the feasibility of a nonlinear row in the last NLP or pseudo solution

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP nonlinear row
feasibility	pointer to store feasibility value

Definition at line 1957 of file scip_nlp.c.

References FALSE, Scip::nlp, NULL, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlpHasCurrentNodeNLP(), SCIPnlpHasSolution(), SCIPnlrowGetNLPFeasibility(), SCIPnlrowGetPseudoFeasibility(), Scip::set, Scip::stat, and TRUE.

◆ SCIPgetNlRowSolActivity()

SCIP_RETCODE SCIPgetNlRowSolActivity	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		SCIP_SOL *	sol,
		SCIP_Real *	activity
	)

gives the activity of a nonlinear row for the given primal solution or NLP solution or pseudo solution

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP nonlinear row
sol	primal CIP solution, or NULL for NLP solution of pseudo solution
activity	pointer to store activity value

Definition at line 1986 of file scip_nlp.c.

References FALSE, Scip::nlp, NULL, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlpHasCurrentNodeNLP(), SCIPnlpHasSolution(), SCIPnlrowGetNLPActivity(), SCIPnlrowGetPseudoActivity(), SCIPnlrowGetSolActivity(), Scip::set, Scip::stat, and TRUE.

Referenced by computeMaxViolation(), findPointPosition(), generateCut(), improvePoint(), SCIP_DECL_SEPAEXECLP(), and separateCuts().

◆ SCIPgetNlRowSolFeasibility()

SCIP_RETCODE SCIPgetNlRowSolFeasibility	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		SCIP_SOL *	sol,
		SCIP_Real *	feasibility
	)

gives the feasibility of a nonlinear row for the given primal solution

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP nonlinear row
sol	primal CIP solution
feasibility	pointer to store feasibility value

Definition at line 2020 of file scip_nlp.c.

References FALSE, Scip::nlp, NULL, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlpHasCurrentNodeNLP(), SCIPnlpHasSolution(), SCIPnlrowGetNLPFeasibility(), SCIPnlrowGetPseudoFeasibility(), SCIPnlrowGetSolFeasibility(), Scip::set, Scip::stat, and TRUE.

Referenced by getMinFeas(), and improvePoint().

◆ SCIPgetNlRowActivityBounds()

SCIP_RETCODE SCIPgetNlRowActivityBounds	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		SCIP_Real *	minactivity,
		SCIP_Real *	maxactivity
	)

gives the minimal and maximal activity of a nonlinear row w.r.t. the variable's bounds

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP row
minactivity	buffer to store minimal activity, or NULL
maxactivity	buffer to store maximal activity, or NULL

Definition at line 2055 of file scip_nlp.c.

References FALSE, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowGetActivityBounds(), Scip::set, Scip::stat, and TRUE.

◆ SCIPprintNlRow()

SCIP_RETCODE SCIPprintNlRow	(	SCIP *	scip,
		SCIP_NLROW *	nlrow,
		FILE *	file
	)

output nonlinear row to file stream

Returns: SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

This method can be called if SCIP is in one of the following stages:

Parameters

scip	SCIP data structure
nlrow	NLP row
file	output file (or NULL for standard output)

Definition at line 2079 of file scip_nlp.c.

References FALSE, Scip::messagehdlr, NULL, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPnlrowPrint(), and TRUE.

Referenced by createNlRow(), findPointPosition(), and separateCuts().

SCIP

Detailed Description

Functions

Function Documentation

◆ SCIPnlrowGetConstant()

◆ SCIPnlrowGetNLinearVars()

◆ SCIPnlrowGetLinearVars()

◆ SCIPnlrowGetLinearCoefs()

◆ SCIPnlrowGetNQuadVars()

◆ SCIPnlrowGetQuadVars()

◆ SCIPnlrowSearchQuadVar()

◆ SCIPnlrowGetNQuadElems()

◆ SCIPnlrowGetQuadElems()

◆ SCIPnlrowGetQuadData()

◆ SCIPnlrowGetExprtree()

◆ SCIPnlrowGetLhs()

◆ SCIPnlrowGetRhs()

◆ SCIPnlrowGetCurvature()

◆ SCIPnlrowSetCurvature()

◆ SCIPnlrowGetName()

◆ SCIPnlrowGetNLPPos()

◆ SCIPnlrowIsInNLP()

◆ SCIPnlrowGetDualsol()

◆ SCIPcreateNlRow()

◆ SCIPcreateEmptyNlRow()

◆ SCIPcreateNlRowFromRow()

◆ SCIPcaptureNlRow()

◆ SCIPreleaseNlRow()

◆ SCIPchgNlRowLhs()

◆ SCIPchgNlRowRhs()

◆ SCIPchgNlRowConstant()

◆ SCIPaddLinearCoefToNlRow()

◆ SCIPaddLinearCoefsToNlRow()

◆ SCIPchgNlRowLinearCoef()

◆ SCIPaddQuadVarToNlRow()

◆ SCIPaddQuadVarsToNlRow()

◆ SCIPaddQuadElementToNlRow()

◆ SCIPaddQuadElementsToNlRow()

◆ SCIPchgNlRowQuadElement()

◆ SCIPsetNlRowExprtree()

◆ SCIPsetNlRowExprtreeParam()

◆ SCIPsetNlRowExprtreeParams()

◆ SCIPrecalcNlRowNLPActivity()

◆ SCIPgetNlRowNLPActivity()

◆ SCIPgetNlRowNLPFeasibility()

◆ SCIPrecalcNlRowPseudoActivity()

◆ SCIPgetNlRowPseudoActivity()

◆ SCIPgetNlRowPseudoFeasibility()

◆ SCIPrecalcNlRowActivity()

◆ SCIPgetNlRowActivity()

◆ SCIPgetNlRowFeasibility()

◆ SCIPgetNlRowSolActivity()

◆ SCIPgetNlRowSolFeasibility()

◆ SCIPgetNlRowActivityBounds()

◆ SCIPprintNlRow()