COMSOL 6.3 - EigenvalueParam

EigenvalueParam

Handle properties for parameter stepping for a parametric eigenvalue problem.

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

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

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

Attribute feature.

Table 6-32: Eigenvalue parametric Properties.
Property	Value	Default	Description
addsolutions	boolean	true	Add solution data points from the general noncontinuation parameter values lists, if uselsqdata is set to true.
auxsweepeigval	default \| preveigval	default	ARPACK starting vector: the default or from previous eigenvalues.
auxsweepeigvalshift	average \| closest	closest	ARPACK shift from previous eigenvalues: average of converged eigenvalues or eigenvalue closest to the previous shift, if auxsweepeigvec is set to preveigvec.
auxsweepeigvec	default \| preveigvec	default	ARPACK shift: as specified (default) or based on eigenvalues from last parameter (preveigvec).
auxsweepeigvecstart	sum \| closest	sum	ARPACK starting vector from previous eigenvalues: summation of all eigenvalues or eigenvector with eigenvalue closest to the shift, if auxsweepeigval is set to preveigval.
control	String	user	Name of the controlling study step or user if the feature is controlled manually.
excludelsqvalues	boolean	true	Create bounding box from general parameter value lists, if uselsqdata is set to true.
pdistrib	on \| off	off	If the solver should distribute the parameter sweep.
peigonerror	stop \| skip \| empty	stop	Stop, skip the error and then continue, or add an empty solution and then continue when an error occurs.
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.
pname	vector of strings		Parameter names.
pwork	integer	1	Maximum number of distributed groups.
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.
uselsqdata	boolean	true	Use parameters from least-squares objectives (requires the Optimization Module).