nlp.h File Reference

Detailed Description

internal methods for NLP management

Author

Thorsten Gellermann

Stefan Vigerske

Definition in file nlp.h.

#include <stdio.h>
#include "scip/def.h"
#include "blockmemshell/memory.h"
#include "scip/type_event.h"
#include "scip/type_set.h"
#include "scip/type_stat.h"
#include "scip/type_misc.h"
#include "scip/type_lp.h"
#include "scip/type_var.h"
#include "scip/type_prob.h"
#include "scip/type_sol.h"
#include "scip/type_primal.h"
#include "scip/pub_nlp.h"

Go to the source code of this file.

Functions
Expressions and Expression tree methods
SCIP_RETCODE	SCIPexprtreeRemoveFixedVars (SCIP_EXPRTREE *tree, SCIP_SET *set, SCIP_Bool *changed, int *varpos, int *newvarsstart)
Nonlinear row methods
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)
SCIP_RETCODE	SCIPnlrowCreateCopy (SCIP_NLROW **nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_NLROW *sourcenlrow)
SCIP_RETCODE	SCIPnlrowCreateFromRow (SCIP_NLROW **nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_ROW *row)
SCIP_RETCODE	SCIPnlrowFree (SCIP_NLROW **nlrow, BMS_BLKMEM *blkmem)
SCIP_RETCODE	SCIPnlrowPrint (SCIP_NLROW *nlrow, SCIP_MESSAGEHDLR *messagehdlr, FILE *file)
void	SCIPnlrowCapture (SCIP_NLROW *nlrow)
SCIP_RETCODE	SCIPnlrowRelease (SCIP_NLROW **nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set)
SCIP_RETCODE	SCIPnlrowEnsureLinearSize (SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, int num)
SCIP_RETCODE	SCIPnlrowAddLinearCoef (SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_VAR *var, SCIP_Real val)
SCIP_RETCODE	SCIPnlrowDelLinearCoef (SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_VAR *var)
SCIP_RETCODE	SCIPnlrowChgLinearCoef (SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_VAR *var, SCIP_Real coef)
SCIP_RETCODE	SCIPnlrowEnsureQuadVarsSize (SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, int num)
SCIP_RETCODE	SCIPnlrowAddQuadVar (SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_VAR *var)
SCIP_RETCODE	SCIPnlrowEnsureQuadElementsSize (SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, int num)
SCIP_RETCODE	SCIPnlrowAddQuadElement (SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_QUADELEM elem)
SCIP_RETCODE	SCIPnlrowDelQuadElement (SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, int idx1, int idx2)
SCIP_RETCODE	SCIPnlrowChgQuadElem (SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_QUADELEM elem)
SCIP_RETCODE	SCIPnlrowChgExprtree (SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_EXPRTREE *exprtree)
SCIP_RETCODE	SCIPnlrowChgExprtreeParam (SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, int paramidx, SCIP_Real paramval)
SCIP_RETCODE	SCIPnlrowChgExprtreeParams (SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_Real *paramvals)
SCIP_RETCODE	SCIPnlrowChgConstant (SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_Real constant)
SCIP_RETCODE	SCIPnlrowChgLhs (SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_Real lhs)
SCIP_RETCODE	SCIPnlrowChgRhs (SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_Real rhs)
SCIP_RETCODE	SCIPnlrowRemoveFixedVars (SCIP_NLROW *nlrow, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp)
SCIP_RETCODE	SCIPnlrowRecalcNLPActivity (SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp)
SCIP_RETCODE	SCIPnlrowGetNLPActivity (SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_Real *activity)
SCIP_RETCODE	SCIPnlrowGetNLPFeasibility (SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLP *nlp, SCIP_Real *feasibility)
SCIP_RETCODE	SCIPnlrowRecalcPseudoActivity (SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat)
SCIP_RETCODE	SCIPnlrowGetPseudoActivity (SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_Real *pseudoactivity)
SCIP_RETCODE	SCIPnlrowGetPseudoFeasibility (SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_Real *pseudofeasibility)
SCIP_RETCODE	SCIPnlrowGetSolActivity (SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_SOL *sol, SCIP_Real *activity)
SCIP_RETCODE	SCIPnlrowGetSolFeasibility (SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_SOL *sol, SCIP_Real *feasibility)
SCIP_RETCODE	SCIPnlrowGetActivityBounds (SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_Real *minactivity, SCIP_Real *maxactivity)
SCIP_RETCODE	SCIPnlrowIsRedundant (SCIP_NLROW *nlrow, SCIP_SET *set, SCIP_STAT *stat, SCIP_Bool *isredundant)
NLP methods
SCIP_RETCODE	SCIPnlpInclude (SCIP_SET *set, BMS_BLKMEM *blkmem)
SCIP_RETCODE	SCIPnlpCreate (SCIP_NLP **nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, const char *name, int nvars_estimate)
SCIP_RETCODE	SCIPnlpFree (SCIP_NLP **nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_EVENTQUEUE *eventqueue, SCIP_LP *lp)
SCIP_RETCODE	SCIPnlpReset (SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_EVENTQUEUE *eventqueue, SCIP_LP *lp)
SCIP_Bool	SCIPnlpHasCurrentNodeNLP (SCIP_NLP *nlp)
SCIP_RETCODE	SCIPnlpEnsureVarsSize (SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, int num)
SCIP_RETCODE	SCIPnlpAddVar (SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_VAR *var)
SCIP_RETCODE	SCIPnlpAddVars (SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, int nvars, SCIP_VAR **vars)
SCIP_RETCODE	SCIPnlpDelVar (SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_EVENTQUEUE *eventqueue, SCIP_LP *lp, SCIP_VAR *var)
SCIP_RETCODE	SCIPnlpEnsureNlRowsSize (SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, int num)
SCIP_RETCODE	SCIPnlpAddNlRow (SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_NLROW *nlrow)
SCIP_RETCODE	SCIPnlpAddNlRows (SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, int nnlrows, SCIP_NLROW **nlrows)
SCIP_RETCODE	SCIPnlpDelNlRow (SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_NLROW *nlrow)
SCIP_RETCODE	SCIPnlpFlush (SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set)
SCIP_RETCODE	SCIPnlpSolve (SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_MESSAGEHDLR *messagehdlr, SCIP_STAT *stat)
SCIP_Real	SCIPnlpGetObjval (SCIP_NLP *nlp)
SCIP_RETCODE	SCIPnlpGetPseudoObjval (SCIP_NLP *nlp, SCIP_SET *set, SCIP_STAT *stat, SCIP_Real *pseudoobjval)
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)
SCIP_RETCODE	SCIPnlpRemoveRedundantNlRows (SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat)
SCIP_RETCODE	SCIPnlpSetInitialGuess (SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_Real *initguess)
SCIP_RETCODE	SCIPnlpWrite (SCIP_NLP *nlp, SCIP_SET *set, SCIP_MESSAGEHDLR *messagehdlr, const char *fname)
SCIP_RETCODE	SCIPnlpStartDive (SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set)
SCIP_RETCODE	SCIPnlpEndDive (SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set)
SCIP_RETCODE	SCIPnlpChgVarObjDive (SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_STAT *stat, SCIP_VAR *var, SCIP_Real coef)
SCIP_RETCODE	SCIPnlpChgVarBoundsDive (SCIP_NLP *nlp, SCIP_VAR *var, SCIP_Real lb, SCIP_Real ub)
SCIP_RETCODE	SCIPnlpChgVarsBoundsDive (SCIP_NLP *nlp, SCIP_SET *set, int nvars, SCIP_VAR **vars, SCIP_Real *lbs, SCIP_Real *ubs)
SCIP_Bool	SCIPnlpIsDivingObjChanged (SCIP_NLP *nlp)
SCIP_RETCODE	SCIPnlpSolveDive (SCIP_NLP *nlp, BMS_BLKMEM *blkmem, SCIP_SET *set, SCIP_MESSAGEHDLR *messagehdlr, SCIP_STAT *stat)
SCIP_VAR **	SCIPnlpGetVars (SCIP_NLP *nlp)
int	SCIPnlpGetNVars (SCIP_NLP *nlp)
SCIP_RETCODE	SCIPnlpGetVarsNonlinearity (SCIP_NLP *nlp, int *nlcount)
SCIP_Bool	SCIPnlpHasContinuousNonlinearity (SCIP_NLP *nlp)
SCIP_Real *	SCIPnlpGetVarsLbDualsol (SCIP_NLP *nlp)
SCIP_Real *	SCIPnlpGetVarsUbDualsol (SCIP_NLP *nlp)
SCIP_NLROW **	SCIPnlpGetNlRows (SCIP_NLP *nlp)
int	SCIPnlpGetNNlRows (SCIP_NLP *nlp)
SCIP_NLPI *	SCIPnlpGetNLPI (SCIP_NLP *nlp)
SCIP_NLPIPROBLEM *	SCIPnlpGetNLPIProblem (SCIP_NLP *nlp)
SCIP_Bool	SCIPnlpIsDiving (SCIP_NLP *nlp)
SCIP_NLPSOLSTAT	SCIPnlpGetSolstat (SCIP_NLP *nlp)
SCIP_NLPTERMSTAT	SCIPnlpGetTermstat (SCIP_NLP *nlp)
SCIP_RETCODE	SCIPnlpGetStatistics (SCIP_NLP *nlp, SCIP_NLPSTATISTICS *statistics)
SCIP_Bool	SCIPnlpHasSolution (SCIP_NLP *nlp)
SCIP_RETCODE	SCIPnlpGetIntPar (SCIP_NLP *nlp, SCIP_NLPPARAM type, int *ival)
SCIP_RETCODE	SCIPnlpSetIntPar (SCIP_NLP *nlp, SCIP_NLPPARAM type, int ival)
SCIP_RETCODE	SCIPnlpGetRealPar (SCIP_NLP *nlp, SCIP_NLPPARAM type, SCIP_Real *dval)
SCIP_RETCODE	SCIPnlpSetRealPar (SCIP_NLP *nlp, SCIP_NLPPARAM type, SCIP_Real dval)
SCIP_RETCODE	SCIPnlpGetStringPar (SCIP_NLP *nlp, SCIP_NLPPARAM type, const char **sval)
SCIP_RETCODE	SCIPnlpSetStringPar (SCIP_NLP *nlp, SCIP_NLPPARAM type, const char *sval)

Function Documentation

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 225 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(), SCIPhashmapGetImageInt(), SCIPhashmapInsertInt(), SCIPvarGetMultaggrConstant(), SCIPvarGetMultaggrNVars(), SCIPvarGetMultaggrScalars(), SCIPvarGetMultaggrVars(), SCIPvarGetProbvarSum(), SCIPvarGetStatus(), SCIPvarIsActive(), TRUE, and SCIP_ExprTree::vars.

Referenced by nlrowRemoveFixedExprtreeVars(), SCIPexprtreeRemoveFixedVars(), and SCIPnlrowChgExprtree().

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 2007 of file nlp.c.

References BMSallocBlockMemory, BMSduplicateBlockMemoryArray, FALSE, MAX, 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 2156 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 2191 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 2259 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 2296 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 2351 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 2363 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 2387 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 2412 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 2460 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 2493 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 2531 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 2555 of file nlp.c.

References SCIP_NlRow::nlpindex, nlrowSetupQuadVarsHash(), SCIP_NlRow::nquadvars, NULL, SCIP_NlRow::quadvars, SCIP_NlRow::quadvarshash, SCIP_CALL, SCIP_OKAY, SCIPhashmapInsertInt(), 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 2590 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 2614 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 2629 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 2663 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 or deletes an expression tree in nonlinear row

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 2695 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 2734 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 2757 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 2779 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 2799 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 2819 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 nonquadratic terms of a nonlinear row

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 2839 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 in the current NLP solution

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 2855 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
	)

gives the activity of a nonlinear row in the current NLP solution

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 2932 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 2959 of file nlp.c.

References SCIP_NlRow::lhs, 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 2979 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 3034 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 3060 of file nlp.c.

References SCIP_NlRow::lhs, 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 3080 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, 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 3165 of file nlp.c.

References SCIP_NlRow::lhs, 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 3186 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 3217 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().

SCIPnlpInclude()

SCIP_RETCODE SCIPnlpInclude	(	SCIP_SET *	set,
		BMS_BLKMEM *	blkmem
	)

includes event handler that is used by NLP

includes NLP specific plugins (e.g., event handler) and parameters

Parameters

set	global SCIP settings
blkmem	block memory

Definition at line 5062 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 5088 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 5209 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 5268 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()

SCIP_Bool SCIPnlpHasCurrentNodeNLP

(

SCIP_NLP *

nlp

)

currently a dummy function that always returns TRUE

Parameters

nlp

NLP data

Definition at line 5309 of file nlp.c.

References NULL, and 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 5318 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 5352 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 5378 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 5403 of file nlp.c.

References SCIP_Nlp::indiving, nlpDelVarPos(), NULL, SCIP_CALL, SCIP_ERROR, SCIP_OKAY, SCIPerrorMessage, SCIPhashmapExists(), SCIPhashmapGetImageInt(), 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 5439 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 5467 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 5491 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 5519 of file nlp.c.

References SCIP_Nlp::indiving, nlpDelNlRowPos(), SCIP_NlRow::nlpindex, SCIP_Nlp::nnlrows, NULL, SCIP_CALL, SCIP_ERROR, SCIP_OKAY, and SCIPerrorMessage.

Referenced by SCIPdelNlRow().

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 5550 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 5587 of file nlp.c.

References SCIP_Nlp::indiving, nlpSolve(), NULL, SCIP_CALL, SCIP_ERROR, SCIP_OKAY, SCIPerrorMessage, and SCIPnlpFlush().

Referenced by SCIPsolveNLP().

SCIPnlpGetObjval()

SCIP_Real SCIPnlpGetObjval

(

SCIP_NLP *

nlp

)

gets objective value of current NLP

Parameters

nlp	current NLP data

Definition at line 5614 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 5624 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 5653 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 5687 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 5733 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 5766 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().

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 6156 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 6186 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 6247 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(), SCIPhashmapGetImageInt(), 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 6307 of file nlp.c.

References SCIP_Nlp::indiving, NULL, SCIP_Nlp::problem, SCIP_CALL, SCIP_OKAY, SCIPhashmapExists(), SCIPhashmapGetImageInt(), 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 6335 of file nlp.c.

References SCIP_Nlp::indiving, NULL, SCIP_Nlp::problem, SCIP_CALL, SCIP_OKAY, SCIPhashmapExists(), SCIPhashmapGetImageInt(), SCIPnlpiChgVarBounds(), SCIPsetAllocBufferArray, SCIPsetFreeBufferArray, SCIP_Nlp::solver, SCIP_Nlp::varhash, and SCIP_Nlp::varmap_nlp2nlpi.

Referenced by SCIPchgVarsBoundsDiveNLP().

SCIPnlpIsDivingObjChanged()

SCIP_Bool SCIPnlpIsDivingObjChanged

(

SCIP_NLP *

nlp

)

returns whether the objective function has been changed during diving

Parameters

nlp	current NLP data

Definition at line 6379 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 6387 of file nlp.c.

References nlpSolve(), SCIP_CALL, and SCIP_OKAY.

Referenced by SCIPsolveDiveNLP().

SCIPnlpGetVars()

SCIP_VAR** SCIPnlpGetVars

(

SCIP_NLP *

nlp

)

gets array with variables of the NLP

Parameters

nlp	current NLP data

Definition at line 5817 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 5827 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 5837 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(), SCIPhashmapGetImageInt(), and SCIP_Nlp::varhash.

Referenced by SCIPgetNLPVarsNonlinearity().

SCIPnlpHasContinuousNonlinearity()

SCIP_Bool SCIPnlpHasContinuousNonlinearity

(

SCIP_NLP *

nlp

)

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 5898 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()

SCIP_Real* SCIPnlpGetVarsLbDualsol

(

SCIP_NLP *

nlp

)

gives dual solution values associated with lower bounds of NLP variables

Parameters

nlp	current NLP data

Definition at line 5936 of file nlp.c.

References NULL, and SCIP_Nlp::varlbdualvals.

Referenced by SCIPgetNLPVarsLbDualsol().

SCIPnlpGetVarsUbDualsol()

SCIP_Real* SCIPnlpGetVarsUbDualsol

(

SCIP_NLP *

nlp

)

gives dual solution values associated with upper bounds of NLP variables

Parameters

nlp	current NLP data

Definition at line 5946 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 5956 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 5966 of file nlp.c.

References SCIP_Nlp::nnlrows, and NULL.

Referenced by SCIPgetNLPNlRowsData(), and SCIPgetNNLPNlRows().

SCIPnlpGetNLPI()

SCIP_NLPI* SCIPnlpGetNLPI

(

SCIP_NLP *

nlp

)

gets the NLP solver interface

Parameters

nlp	current NLP data

Definition at line 5976 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 5986 of file nlp.c.

References NULL, and SCIP_Nlp::problem.

Referenced by SCIPgetNLPI().

SCIPnlpIsDiving()

SCIP_Bool SCIPnlpIsDiving

(

SCIP_NLP *

nlp

)

indicates whether NLP is currently in diving mode

Parameters

nlp	current NLP data

Definition at line 5996 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 6006 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 6016 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 6026 of file nlp.c.

References NULL, SCIP_Nlp::problem, SCIP_CALL, SCIP_OKAY, SCIPnlpiGetStatistics(), and SCIP_Nlp::solver.

Referenced by SCIPgetNLPStatistics().

SCIPnlpHasSolution()

SCIP_Bool SCIPnlpHasSolution

(

SCIP_NLP *

nlp

)

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 6043 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 6053 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 6070 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 6086 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 6103 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 6119 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 6136 of file nlp.c.

References NULL, SCIP_Nlp::problem, SCIP_CALL, SCIP_OKAY, SCIPnlpiSetStringPar(), and SCIP_Nlp::solver.

Referenced by SCIPsetNLPStringPar().