[petsc-users] [tao] General L1,L2 optimization

[David]

Hi. I was wondering whether there was some kind of general consensus about

the currently-best-implemented L1, L2 norm regularization for petsc/tao 
that has been implemented.

Naively, I would shoot for Levenberg-Marquardt for some kind of random 
matrix, or even generic

finite-difference stencil problem. (but it seems like LM is yet to be 
implemented, but only on petsc manual pdf?)

Or perhaps, of the implemented ones, LMVM seems to work well, at least 
on my local machine.

In any due case, I would highly appreciate the input and opinion about 
these matters.


Thanks.



Hansol Suh,

PhD Student


Georgia Institute of Technology