Primal Recovery from Consensus-Based Dual Decomposition for Distributed Convex Optimization

Dual decomposition has been successfully employed in a variety of distributed convex optimization problems solved by a network of computing and communicating nodes. Often, when the cost function is separable but the constraints are coupled, the dual decomposition scheme involves local parallel subgr...

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Veröffentlicht in:Journal of optimization theory and applications 2016-01, Vol.168 (1), p.172-197
Hauptverfasser: Simonetto, Andrea, Jamali-Rad, Hadi
Format: Artikel
Sprache:eng
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