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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on automatic control Ročník 68; číslo 3; s. 1847 - 1854
Hlavní autoři:	Wu, Xuyang, Wang, He, Lu, Jie
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.03.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!