Distributed asynchronous non-smooth optimization with coupled equality and bounded constraints

This paper considers a distributed convex optimization problem with a linearly coupled equality constraint and non-smooth objective function, in which heterogeneous time delays exist over the communication network. Based on the passivity of primal–dual dynamics, a distributed asynchronous algorithm...

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Vydáno v:	Neural computing & applications Ročník 36; číslo 6; s. 2853 - 2866
Hlavní autoři:	Lin, Wen-Ting, Li, Chaojie
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.02.2024 Springer Nature B.V
Témata:	Algorithms Artificial Intelligence Communication Communications networks Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Convergence Convex analysis Convexity Data Mining and Knowledge Discovery Dynamical systems Image Processing and Computer Vision Optimization Original Article Probability and Statistics in Computer Science Scattering Heterogeneous delay Non-smooth analysis Distributed optimization Passivity based method
ISSN:	0941-0643, 1433-3058
On-line přístup:	Získat plný text
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