Eigenfrequency
The Eigenfrequency study step is used to compute eigenmodes and eigenfrequencies of a linear or linearized model.
Syntax
model.study(stdname).create(fname, "Eigenfrequency");
model.study(stdname).feature(fname).set(pname,value);
Description
Study step.
The following properties are available.
tol | fixed
on | off
manual | region | all
Eigenfrequency search method; the all method finds all eigenvalues for a full matrix and can only be used for small eigenfrequency problems.
arpack | feast | lapack | arpacknonlinear
lm | lr | sr | li | si
Degree of the Taylor expansion, if approxnep is set to fixed.
init | sol
Method used for linearization point, which for sol is given by the linpsol property.
zero | solution object
all | auto | first | last | from_list | interp | manual | solution number
current | manual | solution store tag
Index for the solution to use when linpsoluse is set to manual.
on | off
on | off
Eigenvalue scaling factor, when eigsolver is set to arpacknonlinear.
on | off
on | off
on | off
init | sol
auto | all | first | last | from_list | interp | manual | positive integer
Reference to study or "zero" for zero solution.
See Store in Output for possible options and defaults (this property corresponds to the Output column). Possible values are physics, all, none, or selection.
See setEntry() for information about setting the values for a property that uses a String Map. If you use the set(pname,value) method, you have to provide all alternating property name and property value pairs.
The following ARPACK properties are available when eigsolver is set to arpack and useparam (auxiliary sweep) is on:
default | preveigval
average | closest
default | preveigvec
sum | closest
For the adaptation and error estimates settings, see Table 6-171.