Thursday, 13:15 - 13:40 h, Room: H 1028


Zaiwen Wen
Alternating direction augmented Lagrangian methods for a few nonconvex problems


Recently, the alternating direction augmented Lagrangian methods (ADM) have been widely used in convex optimization. In this talk, we show
that ADM can also be quite efficent for solving nonconvex problems such as phase retrieval problem in X-ray diffractive imaging and an integer programming problem in portfolio optimization.


Talk 1 of the invited session Thu.2.H 1028
"Nonconvex sparse optimization" [...]
Cluster 21
"Sparse optimization & compressed sensing" [...]


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