Distributed Optimization With Coupling Constraints

In this article, we investigate distributed convex optimization with both inequality and equality constraints, where the objective function can be a general nonsmooth convex function and all the constraints can be both sparsely and densely coupling. By strategically integrating ideas from primal-dua...

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Veröffentlicht in:	IEEE transactions on automatic control Jg. 68; H. 3; S. 1847 - 1854
Hauptverfasser:	Wu, Xuyang, Wang, He, Lu, Jie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.03.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Computational geometry Constrained optimization Convergence Convex functions Convex optimisation Convex optimization Convexity Coupling Coupling constraints Couplings Distributed algorithms Distributed optimization Feasibility Inequality constraint Linear programming Mathematical transformations Optimisations Optimization primal-dual method Primal-dual methods proximal algorithm Transforms Undirected graphs Virtual addresses
ISSN:	0018-9286, 1558-2523, 1558-2523
Online-Zugang:	Volltext
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