Distributed Coordination for Nonsmooth Convex Optimization via Saddle-Point Dynamics

This paper considers continuous-time coordination algorithms for networks of agents that seek to collectively solve a general class of nonsmooth convex optimization problems with an inherent distributed structure. Our algorithm design builds on the characterization of the solutions of the nonsmooth...

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Vydané v:	Journal of nonlinear science Ročník 29; číslo 4; s. 1247 - 1272
Hlavní autori:	Cortés, Jorge, Niederländer, Simon K.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 15.08.2019 Springer Nature B.V
Predmet:	Algorithms Analysis Classical Mechanics Computational geometry Convergence Convex analysis Convexity Coordination Design parameters Economic Theory/Quantitative Economics/Mathematical Methods Liapunov functions Mathematical and Computational Engineering Mathematical and Computational Physics Mathematics Mathematics and Statistics Nonlinear programming Optimization Saddle points Theoretical Distributed multi-agent coordination 34D23 90C35 Nonsmooth convex optimization 90C25 49J52 Continuous-time optimization algorithms 68W15 Saddle-point dynamics 34A60
ISSN:	0938-8974, 1432-1467
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