[Trilinos-Users] What are the best parameter choices for ML?
cary at txcorp.com
Thu Sep 1 19:24:40 EDT 2016
We have trilinos as the solver in our code, and we present to users the
array of choices of parameters for ML:
maximum levels = 30
smoother type = ["Gauss Seidel" "symmetric variable block Gauss Seidel"
"Jacobi" "Chebyshev" "Aztec"]
smoother sweeps = 3
when to smooth = ["before" "after" "both"]
coarse type = ["Jacobi" "KLU"]
damping factor = 1.333
threshold = 0.0
increase or decrease = ["increasing" "decreasing"]
so we get asked, "What should I choose?"
Are there any guidelines for this? Or is it more a matter of trial and
For the present case we are doing Poisson with possibly highly varying
FYI, I did go to
Thought you might want to know that the first link for documentation is
I did look at mlguide.pdf, which I think is the suggestion, but it seems
to be more
of "how to select foo" rather than "why select foo".
Thanks for any help!
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