Eigenvalue
The Eigenvalue study step is used to compute eigenmodes and eigenvalues of a linear or linearized model.
Syntax
model.study(stdname).create(fname, "Eigenvalue");
model.study(stdname).feature(fname).set(pname,value);
Description
Study step.
The following properties are available.
on | off
manual | region | all
Eigenvalue search method; the all method finds all eigenvalues for a full matrix and can only be used for small eigenvalue problems.
lm | lr | sr | li | si
init | sol
Method used for linearization point, which for sol is determined by the current solution (that is, the solution computed by the previous feature in the sequence).
zero | solution object
all | auto | first | last | from_list | interp | manual | solution number
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.
For the adaptation and error estimates settings, see Table 6-164.