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 |
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Format: | Artikel |
Sprache: | eng |
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