ModeFollowing
Use the Mode Following solver to track modes when solving parametric eigenvalue problems.
Syntax
model.sol(sname).feature(solv).create(fname,"ModeFollowing")
model.sol(sname).feature(solv).feature(fname).set(pname,value)
Description
This feature can be used as an attribute for parametric Eigenvalue features. The following properties are accepted:
Table 6-55: Valid ModeFollowing Properties.
Property
Value
Default
Description
detectifcannotfollowpreviousmodes
on | off
on
Detect new eigenpairs instead of always forcing continuation.
extramodesallocationfactorvalue
double
1
The extra modes allocation factor, if selectionextramodes is set to extramodesallocationfactor.
followextramodes
on | off
off
Whether to follow extra modes.
highsenseigdetection
on | off | warningneweigtracking
off
Detect new eigenpairs by checking if the pseudoscalar product is small compared to all the previous eigenpairs. If set to warningneweigtracking, a warning is given if new modes converge. Available when detectifcannotfollowpreviousmodes is set to on.
numberofextramodesvalue
nonnegative integer
0
The number of expected extra modes, if selectionextramodes is set to numberofexpectedextramodes.
selectionextramodes
extramodesallocationfactor | numberofexpectedextramodes
extramodesallocationfactor
Method to enter the number of expected extra modes, by allocation factor or as an integer. Available if followextramodes is set to on.
thresholdmodefollowing
double
0.01
Tolerance factor for detecting if an eigenpair is new, when detectifcannotfollowpreviousmodes is set to on.