ProperOrthogonalDecomposition
Solve frequency-domain or time-dependent problem using POD (proper orthogonal decomposition) reduction.
Syntax
model.sol(sname).create(fname,"ProperOrthogonalDecomposition")
model.sol(sname).feature(fname).set(pname,pvalue)
Description
Operation feature. The following properties are accepted:
frequency | transient
The constraint modes to use, if constrmodeselection is set to manual.
all | manual
Name of the controlling study step or user if the feature is controlled manually.
one | individual | manual
on | off
false | linper
Use linear linearity or a linear perturbation when analysistype has been set to frequency.
scalar | numeric vector
Frequency list. Only applicable when analysistype has been set to frequency.
current | manual | solution tag
Index of the POD solution to use, when podtrainingsoluse is set to manual.
Parameter unit. Only applicable when analysistype has been set to frequency.
stateless | stateful
true | false
Relative tolerance. Only applicable when analysistype has been set to transient.
scalar | numeric vector
Time list. Only applicable when analysistype has been set to transient.
Time unit. Only applicable when analysistype has been set to transient.