Wednesday, 16:15 - 16:40 h, Room: H 2036

 

Sahar Karimi
CGSO for convex problems with polyhedral constraints

Coauthor: Stephen Vavasis

 

Abstract:
We have proposed CGSO (Conjugate Gradient with Subspace Optimization) as an extension to Nemirovski-Yudin's algorithm. CGSO is a conjugate gradient type algorithm that benefits from the optimal complexity bound Nemirovski-Yudin's algorithm achieves for the class of unconstrained convex problems. In this talk, we discuss CGSO for convex problems with polyhedral constraints. We study the theoretical properties as well as the practical performance of CGSO for this class of problems.

 

Talk 3 of the invited session Wed.3.H 2036
"First-derivative methods in convex optimization" [...]
Cluster 4
"Conic programming" [...]

 

  installment loans . Therefore, we can say that the active substances in its composition are more perfectly mixed. Vardenafil is not only present in the original Levitra, but also as part of its analogs.