Stationary
A Stationary study step is intended for a stationary or steady-state situation where you can use a stationary solver.
Syntax
model.study(stdname).create(fname, "Stationary");
model.study(stdname).feature(fname).set(pname,value);
Description
Study step.
The following properties are available.
on | off
pout | psteps
Probes to use when probesel=manual.
all | none | manual
on | off
init | sol
Reference to study or "zero" for zero solution.
init | sol
auto | all | first | last | from_list | interp | manual | positive integer
Reference to study or "zero" for zero solution.
auto | first | last | interp | manual | positive integer
on | off
on | off
all | selection
on | off
on | off
globalmin | worst | elements
none | adaption | errest
l2errest | goalerrest
l2errest for adaption; goalerrest for errest
gfint | gfl2 | gfl1 | gflinf
gfpredef | gfman
modify | rebuild | regular | longest
true | false
first | last | all | manual
Solution selection: the first or last solution, a all solutions, or manual, using weights and solution number indices in adapsolnum. Eigenfrequency studies use all with weights set to 1, which then uses the first solution only.
Controls refinement if elselect=worst (for adaptation).
Matrix with "on"/"off" entries
Matrix with "on"/"off" entries
Continuation parameter when pcontinuationmode = manual.
no | last | manual
on | off
no | yes | auto
filled | sparse
on | off
on | off