Parallel and Distributed Methods for Constrained Nonconvex Optimization—Part I: Theory
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DOI: 10.1109/tsp.2016.2637317
Abstract: In this two-part paper, we propose a general algorithmic framework for the minimization of a nonconvex smooth function subject to nonconvex smooth constraints, and also consider extensions to some structured, nonsmooth problems. The algorithm solves… read more here.
Keywords: part; parallel distributed; methods constrained; optimization ... See more keywords