Control Parameters

Topics covered in this chapter:

Various controls exist within Xpress NonLinear to govern the solution procedure and the form of the output. Some of these take integer values and act as switches between various types of behavior. Many are tolerances on values related to the convergence criteria; these are all double precision. There are also a few controls which are character strings, setting names for structures. Any of these may be altered by the user to enhance performance of the SLP algorithm. In most cases, the default values provided have been found to work well in practice over a range of problems and caution should be exercised if they are changed.

Users of the Xpress NonLinear function library are provided with the following set of functions for setting and obtaining control values:


XSLPgetintcontrol	XSLPgetdblcontrol	XSLPgetstrcontrol
XSLPsetintcontrol	XSLPsetdblcontrol	XSLPsetstrcontrol

All the controls as listed in this chapter are prefixed with XSLP_. Most of them also exist within the Optimizer library with an NLP or SLP prefix, e.g., XPRS_NLPPRESOLVE. It is possible to use the above functions with other control parameters for the Xpress Optimizer (controls prefixed with XPRS_). For details of the Optimizer controls, see the Optimizer manual.

Example of the usage of the functions:

XSLPgetintcontrol(Prob, XSLP_PRESOLVE, &presolve);
printf("The value of PRESOLVE was %d\n", presolve);
XSLPsetintcontrol(Prob, XSLP_PRESOLVE, 1-presolve);
printf("The value of PRESOLVE is now %d\n", 1-presolve);

The following is a list of all the Xpress NonLinear controls:

XSLP_ALGORITHM, SLPALGORITHM	Bit map describing the SLP algorithm(s) to be used
XSLP_ANALYZE, SLPANALYZE	Bit map activating additional options supporting model / solution path analyzis
XSLP_ATOL_A, SLPATOL_A	Absolute delta convergence tolerance
XSLP_ATOL_R, SLPATOL_R	Relative delta convergence tolerance
XSLP_AUGMENTATION, SLPAUGMENTATION	Bit map describing the SLP augmentation method(s) to be used
XSLP_AUTOSAVE, SLPAUTOSAVE	Frequency with which to save the model
XSLP_BARCROSSOVERSTART, SLPBARCROSSOVERSTART	Default crossover activation behaviour for barrier start
XSLP_BARLIMIT, SLPBARLIMIT	Number of initial SLP iterations using the barrier method
XSLP_BARSTALLINGLIMIT, SLPBARSTALLINGLIMIT	Number of iterations to allow numerical failures in barrier before switching to dual
XSLP_BARSTALLINGOBJLIMIT, SLPBARSTALLINGOBJLIMIT	Number of iterations over which to measure the objective change for barrier iterations with no crossover
XSLP_BARSTALLINGTOL, SLPBARSTALLINGTOL	Required change in the objective when progress is measured in barrier iterations without crossover
XSLP_BARSTARTOPS, SLPBARSTARTOPS	Controls behaviour when the barrier is used to solve the linearizations
XSLP_BOUNDTHRESHOLD, SLPBOUNDTHRESHOLD	The maximum size of a bound that can be introduced by nonlinear presolve.
XSLP_CALCTHREADS, NLPCALCTHREADS	Number of threads used for formula and derivatives evaluations
XSLP_CASCADE, SLPCASCADE	Bit map describing the cascading to be used
XSLP_CASCADENLIMIT, SLPCASCADENLIMIT	Maximum number of iterations for cascading with non-linear determining rows
XSLP_CASCADETOL_PA, SLPCASCADETOL_PA	Absolute cascading print tolerance
XSLP_CASCADETOL_PR, SLPCASCADETOL_PR	Relative cascading print tolerance
XSLP_CDTOL_A, SLPCDTOL_A	Absolute tolerance for deducing constant derivatives
XSLP_CDTOL_R, SLPCDTOL_R	Relative tolerance for deducing constant derivatives
XSLP_CLAMPSHRINK, SLPCLAMPSHRINK	Shrink ratio used to impose strict convergence on variables converged in extended criteria only
XSLP_CLAMPVALIDATIONTOL_A, SLPCLAMPVALIDATIONTOL_A	Absolute validation tolerance for applying XSLP_CLAMPSHRINK
XSLP_CLAMPVALIDATIONTOL_R, SLPCLAMPVALIDATIONTOL_R	Relative validation tolerance for applying XSLP_CLAMPSHRINK
XSLP_CONTROL	Bit map describing which Xpress NonLinear functions also activate the corresponding Optimizer Library function
XSLP_CONVERGENCEOPS, SLPCONVERGENCEOPS	Bit map describing which convergence tests should be carried out
XSLP_CTOL, SLPCTOL	Closure convergence tolerance
XSLP_CUTSTRATEGY, SLPCUTSTRATEGY	Determines whihc cuts to apply in the MISLP search when the default SLP-in-MIP strategy is used.
XSLP_DAMP, SLPDAMP	Damping factor for updating values of variables
XSLP_DAMPEXPAND, SLPDAMPEXPAND	Multiplier to increase damping factor during dynamic damping
XSLP_DAMPMAX, SLPDAMPMAX	Maximum value for the damping factor of a variable during dynamic damping
XSLP_DAMPMIN, SLPDAMPMIN	Minimum value for the damping factor of a variable during dynamic damping
XSLP_DAMPSHRINK, SLPDAMPSHRINK	Multiplier to decrease damping factor during dynamic damping
XSLP_DAMPSTART, SLPDAMPSTART	SLP iteration at which damping is activated
XSLP_DEFAULTIV, NLPDEFAULTIV	Default initial value for an SLP variable if none is explicitly given
XSLP_DEFAULTSTEPBOUND, SLPDEFAULTSTEPBOUND	Minimum initial value for the step bound of an SLP variable if none is explicitly given
XSLP_DELAYUPDATEROWS, SLPDELAYUPDATEROWS	Number of SLP iterations before update rows are fully activated
XSLP_DELTA_A, SLPDELTA_A	Absolute perturbation of values for calculating numerical derivatives
XSLP_DELTA_INFINITY, SLPDELTA_INFINITY	Maximum value for partial derivatives
XSLP_DELTA_R, SLPDELTA_R	Relative perturbation of values for calculating numerical derivatives
XSLP_DELTA_X, SLPDELTA_X	Minimum absolute value of delta coefficients to be retained
XSLP_DELTA_Z, SLPDELTA_Z	Tolerance used when calculating derivatives
XSLP_DELTA_ZERO, SLPDELTA_ZERO	Absolute zero acceptance tolerance used when calculating derivatives
XSLP_DELTACOST, SLPDELTACOST	Initial penalty cost multiplier for penalty delta vectors
XSLP_DELTACOSTFACTOR, SLPDELTACOSTFACTOR	Factor for increasing cost multiplier on total penalty delta vectors
XSLP_DELTAFORMAT, SLPDELTAFORMAT	Formatting string for creation of names for SLP delta vectors
XSLP_DELTAMAXCOST, SLPDELTAMAXCOST	Maximum penalty cost multiplier for penalty delta vectors
XSLP_DELTAOFFSET, SLPDELTAOFFSET	Position of first character of SLP variable name used to create name of delta vector
XSLP_DELTAZLIMIT, SLPDELTAZLIMIT	Number of SLP iterations during which to apply XSLP_DELTA_Z
XSLP_DERIVATIVES, NLPDERIVATIVES	Bitmap describing the method of calculating derivatives
XSLP_DETERMINISTIC, NLPDETERMINISTIC	Determines if the parallel features of SLP should be guaranteed to be deterministic
XSLP_DJTOL, SLPDJTOL	Tolerance on DJ value for determining if a variable is at its step bound
XSLP_DRCOLDJTOL, SLPDRCOLDJTOL	Reduced cost tolerance on the delta variable when fixing due to the determining column being below XSLP_DRCOLTOL.
XSLP_DRCOLTOL, SLPDRCOLTOL	The minimum absolute magnitude of a determining column, for which the determined variable is still regarded as well defined
XSLP_DRFIXRANGE, SLPDRFIXRANGE	The range around the previous value where variables are fixed in cascading if the determining column is below XSLP_DRCOLTOL.
XSLP_ECFCHECK, SLPECFCHECK	Check feasibility at the point of linearization for extended convergence criteria
XSLP_ECFTOL_A, SLPECFTOL_A	Absolute tolerance on testing feasibility at the point of linearization
XSLP_ECFTOL_R, SLPECFTOL_R	Relative tolerance on testing feasibility at the point of linearization
XSLP_ECHOXPRSMESSAGES	Controls if the XSLP message callback should relay messages from the XPRS library.
XSLP_ENFORCECOSTSHRINK, SLPENFORCECOSTSHRINK	Factor by which to decrease the current penalty multiplier when enforcing rows.
XSLP_ENFORCEMAXCOST, SLPENFORCEMAXCOST	Maximum penalty cost in the objective before enforcing most violating rows
XSLP_ERRORCOST, SLPERRORCOST	Initial penalty cost multiplier for penalty error vectors
XSLP_ERRORCOSTFACTOR, SLPERRORCOSTFACTOR	Factor for increasing cost multiplier on total penalty error vectors
XSLP_ERRORMAXCOST, SLPERRORMAXCOST	Maximum penalty cost multiplier for penalty error vectors
XSLP_ERROROFFSET, SLPERROROFFSET	Position of first character of constraint name used to create name of penalty error vectors
XSLP_ERRORTOL_A, SLPERRORTOL_A	Absolute tolerance for error vectors
XSLP_ERRORTOL_P, SLPERRORTOL_P	Absolute tolerance for printing error vectors
XSLP_ESCALATION, SLPESCALATION	Factor for increasing cost multiplier on individual penalty error vectors
XSLP_ETOL_A, SLPETOL_A	Absolute tolerance on penalty vectors
XSLP_ETOL_R, SLPETOL_R	Relative tolerance on penalty vectors
XSLP_EVALUATE, NLPEVALUATE	Evaluation strategy for user functions
XSLP_EVTOL_A, SLPEVTOL_A	Absolute tolerance on total penalty costs
XSLP_EVTOL_R, SLPEVTOL_R	Relative tolerance on total penalty costs
XSLP_EXPAND, SLPEXPAND	Multiplier to increase a step bound
XSLP_FEASTOLTARGET, SLPFEASTOLTARGET	When set, this defines a target feasibility tolerance to which the linearizations are solved to
XSLP_FILTER, SLPFILTER	Bit map for controlling solution updates
XSLP_FINDIV, NLPFINDIV	Option for running a heuristic to find a feasible initial point
XSLP_FUNCEVAL, NLPFUNCEVAL	Bit map for determining the method of evaluating user functions and their derivatives
XSLP_GRANULARITY, SLPGRANULARITY	Base for calculating penalty costs
XSLP_GRIDHEURSELECT, SLPGRIDHEURSELECT	Bit map selectin which heuristics to run if the problem has variable with an integer delta
XSLP_HESSIAN, NLPHESSIAN	Second order differentiation mode when using analytical derivatives
XSLP_HEURSTRATEGY, SLPHEURSTRATEGY	Branch and Bound: This specifies the MINLP heuristic strategy. On some problems it is worth trying more comprehensive heuristic strategies by setting HEURSTRATEGY to 2 or 3.
XSLP_INFEASLIMIT, SLPINFEASLIMIT	The maximum number of consecutive infeasible SLP iterations which can occur before Xpress-SLP terminates
XSLP_INFINITY, NLPINFINITY	Value returned by a divide-by-zero in a formula
XSLP_ITERFALLBACKOPS, SLPITERFALLBACKOPS	Alternative LP level control values for numerically challengeing problems
XSLP_ITERLIMIT, SLPITERLIMIT	The maximum number of SLP iterations
XSLP_ITOL_A, SLPITOL_A	Absolute impact convergence tolerance
XSLP_ITOL_R, SLPITOL_R	Relative impact convergence tolerance
XSLP_IVNAME, NLPIVNAME	Name of the set of initial values to be used
XSLP_JACOBIAN, NLPJACOBIAN	First order differentiation mode when using analytical derivatives
XSLP_KEEPEQUALSCOLUMN, NLPKEEPEQUALSCOLUMN	When set to a nonzero value, the MPS reader will keep the equals column in the problem
XSLP_LINQUADBR, NLPLINQUADBR	Use linear and quadratic constraints and objective function to further reduce bounds on all variables
XSLP_LOG, NLPLOG	Level of printing during SLP iterations
XSLP_LSITERLIMIT, SLPLSITERLIMIT	Number of iterations in the line search
XSLP_LSPATTERNLIMIT, SLPLSPATTERNLIMIT	Number of iterations in the pattern search preceding the line search
XSLP_LSSTART, SLPLSSTART	Iteration in which to active the line search
XSLP_LSZEROLIMIT, SLPLSZEROLIMIT	Maximum number of zero length line search steps before line search is deactivated
XSLP_MATRIXTOL, SLPMATRIXTOL	Nonzero tolerance for dropping coefficients from the linearization.
XSLP_MAXTIME, NLPMAXTIME	The maximum time in seconds that the SLP optimization will run before it terminates
XSLP_MAXWEIGHT, SLPMAXWEIGHT	Maximum penalty weight for delta or error vectors
XSLP_MEMORYFACTOR	Factor for expanding size of dynamic arrays in memory
XSLP_MERITLAMBDA, NLPMERITLAMBDA	Factor by which the net objective is taken into account in the merit function
XSLP_MINSBFACTOR, SLPMINSBFACTOR	Factor by which step bounds can be decreased beneath XSLP_ATOL_A
XSLP_MINUSDELTAFORMAT, SLPMINUSDELTAFORMAT	Formatting string for creation of names for SLP negative penalty delta vectors
XSLP_MINUSERRORFORMAT, SLPMINUSERRORFORMAT	Formatting string for creation of names for SLP negative penalty error vectors
XSLP_MINWEIGHT, SLPMINWEIGHT	Minimum penalty weight for delta or error vectors
XSLP_MIPALGORITHM, SLPMIPALGORITHM	Bitmap describing the MISLP algorithms to be used
XSLP_MIPCUTOFF_A, SLPMIPCUTOFF_A	Absolute objective function cutoff for MIP termination
XSLP_MIPCUTOFF_R, SLPMIPCUTOFF_R	Absolute objective function cutoff for MIP termination
XSLP_MIPCUTOFFCOUNT, SLPMIPCUTOFFCOUNT	Number of SLP iterations to check when considering a node for cutting off
XSLP_MIPCUTOFFLIMIT, SLPMIPCUTOFFLIMIT	Number of SLP iterations to check when considering a node for cutting off
XSLP_MIPDEFAULTALGORITHM, SLPMIPDEFAULTALGORITHM	Default algorithm to be used during the tree search in MISLP
XSLP_MIPERRORTOL_A, SLPMIPERRORTOL_A	Absolute penalty error cost tolerance for MIP cut-off
XSLP_MIPERRORTOL_R, SLPMIPERRORTOL_R	Relative penalty error cost tolerance for MIP cut-off
XSLP_MIPFIXSTEPBOUNDS, SLPMIPFIXSTEPBOUNDS	Bitmap describing the step-bound fixing strategy during MISLP
XSLP_MIPITERLIMIT, SLPMIPITERLIMIT	Maximum number of SLP iterations at each node
XSLP_MIPLOG, SLPMIPLOG	Frequency with which MIP status is printed
XSLP_MIPOCOUNT, SLPMIPOCOUNT	Number of SLP iterations at each node over which to measure objective function variation
XSLP_MIPOTOL_A, SLPMIPOTOL_A	Absolute objective function tolerance for MIP termination
XSLP_MIPOTOL_R, SLPMIPOTOL_R	Relative objective function tolerance for MIP termination
XSLP_MIPRELAXSTEPBOUNDS, SLPMIPRELAXSTEPBOUNDS	Bitmap describing the step-bound relaxation strategy during MISLP
XSLP_MSMAXBOUNDRANGE, MSMAXBOUNDRANGE	Defines the maximum range inside which initial points are generated by multistart presets
XSLP_MTOL_A, SLPMTOL_A	Absolute effective matrix element convergence tolerance
XSLP_MTOL_R, SLPMTOL_R	Relative effective matrix element convergence tolerance
XSLP_MULTISTART, MULTISTART	The multistart master control. Defines if the multistart search is to be initiated, or if only the baseline model is to be solved.
XSLP_MULTISTART_LOG, MULTISTART_LOG	The level of logging during the multistart run.
XSLP_MULTISTART_MAXSOLVES, MULTISTART_MAXSOLVES	The maximum number of jobs to create during the multistart search.
XSLP_MULTISTART_MAXTIME, MULTISTART_MAXTIME	The maximum total time to be spent in the mutlistart search.
XSLP_MULTISTART_POOLSIZE, MULTISTART_POOLSIZE	The maximum number of problem objects allowed to pool up before synchronization in the deterministic multistart.
XSLP_MULTISTART_SEED, MULTISTART_SEED	Random seed used for the automatic generation of initial point when loading multistart presets
XSLP_MULTISTART_THREADS, MULTISTART_THREADS	The maximum number of threads to be used in multistart
XSLP_MVTOL, SLPMVTOL	Marginal value tolerance for determining if a constraint is slack
XSLP_NLPSOLVER, NLPSOLVER	Controls whether to call FICO Xpress Global or one of the local solvers
XSLP_OBJSENSE	Objective function sense.
XSLP_OBJTHRESHOLD, SLPOBJTHRESHOLD	Assumed maximum value of the objective function in absolute value.
XSLP_OBJTOPENALTYCOST, SLPOBJTOPENALTYCOST	Factor to estimate initial penalty costs from objective function
XSLP_OCOUNT, SLPOCOUNT	Number of SLP iterations over which to measure objective function variation for static objective (2) convergence criterion
XSLP_OPTIMALITYTOLTARGET, SLPOPTIMALITYTOLTARGET	When set, this defines a target optimality tolerance to which the linearizations are solved to
XSLP_OTOL_A, SLPOTOL_A	Absolute static objective (2) convergence tolerance
XSLP_OTOL_R, SLPOTOL_R	Relative static objective (2) convergence tolerance
XSLP_PENALTYCOLFORMAT, SLPPENALTYCOLFORMAT	Formatting string for creation of the names of the SLP penalty transfer vectors
XSLP_PENALTYINFOSTART, SLPPENALTYINFOSTART	Iteration from which to record row penalty information
XSLP_PENALTYROWFORMAT, SLPPENALTYROWFORMAT	Formatting string for creation of the names of the SLP penalty rows
XSLP_PLUSDELTAFORMAT, SLPPLUSDELTAFORMAT	Formatting string for creation of names for SLP positive penalty delta vectors
XSLP_PLUSERRORFORMAT, SLPPLUSERRORFORMAT	Formatting string for creation of names for SLP positive penalty error vectors
XSLP_POSTSOLVE, NLPPOSTSOLVE	This control determines whether postsolving should be performed automatically
XSLP_PRESOLVE, NLPPRESOLVE	This control determines whether presolving should be performed prior to starting the main algorithm
XSLP_PRESOLVE_ELIMTOL, NLPPRESOLVE_ELIMTOL	Tolerance for nonlinear eliminations during SLP presolve
XSLP_PRESOLVELEVEL, NLPPRESOLVELEVEL	This control determines the level of changes presolve may carry out on the problem and whether column/row indices may change
XSLP_PRESOLVEOPS, NLPPRESOLVEOPS	Bitmap indicating the SLP presolve actions to be taken
XSLP_PRESOLVEZERO, NLPPRESOLVEZERO	Minimum absolute value for a variable which is identified as nonzero during SLP presolve
XSLP_PRIMALINTEGRALALPHA, NLPPRIMALINTEGRALALPHA	Decay term for primal integral computation
XSLP_PRIMALINTEGRALREF, NLPPRIMALINTEGRALREF	Reference solution value to take into account when calculating the primal integral
XSLP_PROBING, NLPPROBING	This control determines whether probing on a subset of variables should be performed prior to starting the main algorithm. Probing runs multiple times bound reduction in order to further tighten the bounding box.
XSLP_REFORMULATE, NLPREFORMULATE	Controls the problem reformulations carried out before augmentation. This allows SLP to take advantage of dedicated algorithms for special problem classes.
XSLP_SAMECOUNT, SLPSAMECOUNT	Number of steps reaching the step bound in the same direction before step bounds are increased
XSLP_SAMEDAMP, SLPSAMEDAMP	Number of steps in same direction before damping factor is increased
XSLP_SBLOROWFORMAT, SLPSBLOROWFORMAT	Formatting string for creation of names for SLP lower step bound rows
XSLP_SBNAME, SLPSBNAME	Name of the set of initial step bounds to be used
XSLP_SBROWOFFSET, SLPSBROWOFFSET	Position of first character of SLP variable name used to create name of SLP lower and upper step bound rows
XSLP_SBSTART, SLPSBSTART	SLP iteration after which step bounds are first applied
XSLP_SBUPROWFORMAT, SLPSBUPROWFORMAT	Formatting string for creation of names for SLP upper step bound rows
XSLP_SCALE	When to re-scale the SLP problem
XSLP_SCALECOUNT	Iteration limit used in determining when to re-scale the SLP matrix
XSLP_SHRINK, SLPSHRINK	Multiplier to reduce a step bound
XSLP_SHRINKBIAS, SLPSHRINKBIAS	Defines an overwrite / adjustment of step bounds for improving iterations
XSLP_SLPLOG	Frequency with which SLP status is printed
XSLP_SOLVER, LOCALSOLVER	Selects the library to use for local solves
XSLP_STOL_A, SLPSTOL_A	Absolute slack convergence tolerance
XSLP_STOL_R, SLPSTOL_R	Relative slack convergence tolerance
XSLP_STOPOUTOFRANGE, NLPSTOPOUTOFRANGE	Stop optimization and return error code if internal function argument is out of range
XSLP_THREADS, NLPTHREADS	Default number of threads to be used
XSLP_THREADSAFEUSERFUNC, NLPTHREADSAFEUSERFUNC	Defines if user functions are allowed to be called in parallel
XSLP_TOLNAME, SLPTOLNAME	Name of the set of tolerance sets to be used
XSLP_TRACEMASK, SLPTRACEMASK	Mask of variable or row names that are to be traced through the SLP iterates
XSLP_TRACEMASKOPS, SLPTRACEMASKOPS	Controls the information printed for XSLP_TRACEMASK. The order in which the information is printed is determined by the order of bits in XSLP_TRACEMASKOPS.
XSLP_UNFINISHEDLIMIT, SLPUNFINISHEDLIMIT	The number of consecutive SLP iterations that may have an unfinished status before the solve is terminated.
XSLP_UPDATEFORMAT, SLPUPDATEFORMAT	Formatting string for creation of names for SLP update rows
XSLP_UPDATEOFFSET, SLPUPDATEOFFSET	Position of first character of SLP variable name used to create name of SLP update row
XSLP_VALIDATIONFACTOR, NLPVALIDATIONFACTOR	Minimum improvement in validation targets to continue iterating
XSLP_VALIDATIONTARGET_K, NLPVALIDATIONTARGET_K	Optimality target tolerance
XSLP_VALIDATIONTARGET_R, NLPVALIDATIONTARGET_R	Feasiblity target tolerance
XSLP_VALIDATIONTOL_A, NLPVALIDATIONTOL_A	Absolute tolerance for the XSLPvalidate procedure
XSLP_VALIDATIONTOL_K, NLPVALIDATIONTOL_K	Relative tolerance for the XSLPvalidatekkt procedure
XSLP_VALIDATIONTOL_R, NLPVALIDATIONTOL_R	Relative tolerance for the XSLPvalidate procedure
XSLP_VCOUNT, SLPVCOUNT	Number of SLP iterations over which to measure static objective (3) convergence
XSLP_VLIMIT, SLPVLIMIT	Number of SLP iterations after which static objective (3) convergence testing starts
XSLP_VTOL_A, SLPVTOL_A	Absolute static objective (3) convergence tolerance
XSLP_VTOL_R, SLPVTOL_R	Relative static objective (3) convergence tolerance
XSLP_WCOUNT, SLPWCOUNT	Number of SLP iterations over which to measure the objective for the extended convergence continuation criterion
XSLP_WTOL_A, SLPWTOL_A	Absolute extended convergence continuation tolerance
XSLP_WTOL_R, SLPWTOL_R	Relative extended convergence continuation tolerance
XSLP_XCOUNT, SLPXCOUNT	Number of SLP iterations over which to measure static objective (1) convergence
XSLP_XLIMIT, SLPXLIMIT	Number of SLP iterations up to which static objective (1) convergence testing starts
XSLP_XTOL_A, SLPXTOL_A	Absolute static objective function (1) tolerance
XSLP_XTOL_R, SLPXTOL_R	Relative static objective function (1) tolerance
XSLP_ZERO, NLPZERO	Absolute tolerance
XSLP_ZEROCRITERION, SLPZEROCRITERION	Bitmap determining the behavior of the placeholder deletion procedure
XSLP_ZEROCRITERIONCOUNT, SLPZEROCRITERIONCOUNT	Number of consecutive times a placeholder entry is zero before being considered for deletion
XSLP_ZEROCRITERIONSTART, SLPZEROCRITERIONSTART	SLP iteration at which criteria for deletion of placeholder entries are first activated.

Knitro controls

All Knitro controls are available with an 'X' pre-tag. For example the Knitro integer control 'KTR_PARAM_ALGORITHM' can be set using XSLPsetintcontrol using the control ID defined as 'XKTR_PARAM_ALGORITHM'. Please refer to the Xpress Knitro manual for the description of the Knitro controls.

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Control Parameters

Knitro controls