Parametric

Handle parameters for parameter stepping for stationary problems.

Syntax

model.sol(sname).create(fname,"Stationary")

model.sol(sname).feature(fname).create(parname,"Parametric")

model.sol(sname).feature(fname).feature(parname).set(pname,pvalue)

Description

Attribute feature.

Table 6-57: parametric Properties

Property	Value	Default	Description
control	String	user	Name of the controlling study step or "user" if the feature is controlled manually.
initdampall	off | on | auto	auto	Setting this property to on the initial damping factor is used for all parameter steps.
paramtuning	on | off	off	Setting this property to on enables the use of the properties pinitstep, pmaxstep, and pminstep.
pdistrib	on | off	off	If the solver should distribute the parameter sweep.
pinitstep	positive real		Initial step size for parameter. See paramtuning.
plist	real array		List of parameter values. Obsolete, use plistarr instead.
plistarr	real matrix		Lists of parameter values. One row of values for each parameter name.
pcontinuationmode	no | last | manual	last	Determines if a continuation sweep should be performed for one of the parameters in pname.
pcontinuation	String		For pcontinuationmode=manual this is one of the parameter names from pname.
pdistrib	on | off	off	Distribute parametric sweep.
preusesol	no | yes | auto	no	Determines how the converged solutions are reused in the parameter sweep.
ponerror	stop | empty	stop	Determines what the solver does when there is a solver error or when the continuation backtracking fails.
pmaxstep	positive real		Maximum step size for parameter. See paramtuning.
pminstep	positive real		Minimum step size for parameter. See paramtuning.
pname	vector of strings		Parameter names.
porder	constant | linear	linear	Predictor order for parameter stepping.
pout	plist | psteps	plist	Output either the parameters in plist or the solution at the expansion points.
plot	on | off	off	Plot while solving.
plotgroup	String	default	Plot group to use for plot while solving.
probesel	all | none | manual	all	The probes to compute.
probes	array of strings		Probes to use when probesel=manual.
pwork	integer	1	Maximum number of distributed groups.
rstep	real scalar > 1	10	Restriction for step size update.
sweeptype	sparse | filled	sparse	Method for doing the parameter variation. For sweeptype=sparse, the parameter tuples defined by the columns in plistarr are solved for. This method requires equal length for the rows. For sweeptype=filled, all parameter combinations given by plistarr are solved for.