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Extensions of Dynamic Programming, Machine Learning, Discrete Optimization
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Additive Schwarz methods
Additive Schwarz Methods for Convex Optimization - Theory and Applications
Jongho Park, Research Scientist, Applied Mathematics and Computational Science
Sep 19, 16:00
-
17:00
B5 L5 R5209
Additive Schwarz methods
convex optimization
This talk is devoted to additive Schwarz methods for convex optimization. First, we propose an abstract framework for additive Schwarz methods for convex optimization. The framework's flexibility allows it to handle composite optimization problems and inexact local solvers. Moreover, it establishes a sharp convergence theory that agrees with the classical theory when addressing linear problems.
