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This document discusses distributed optimization methods that decompose large optimization problems into smaller ones, which are then solved by different agents. It outlines two coordination models: centralized and decentralized, and provides examples such as inverse problems, regression, and support vector machines. The document also introduces the Alternating Direction Method of Multipliers (ADMM) for solving these distributed problems efficiently.

Author

gpn4zzrzjh

Language

EN