Feb 14, 2011 · Abstract: We propose a non-hierarchical decentralized algorithm for the asymptotic minimization of possibly time-varying convex functions.
The algorithm consists of two main steps. First, to improve the estimate of a minimizer, agents apply a particular version of the adaptive projected subgradient ...
A non-hierarchical decentralized algorithm for the asymptotic minimization of possibly time-varying convex functions and the convergence of the resulting ...
Distributed Asymptotic Minimization of Sequences of Convex Functions by a Broadcast Adaptive Subgradient Method. Cavalcante RLG, Rogers A, Jennings NR, Yamada I.
Distributed Asymptotic Minimization of Sequences of Convex Functions by a Broadcast Adaptive Subgradient Method-article.
Given this observation, we propose a new non-hierarchical decentralized algorithm for the asymptotic minimization of possibly time-varying convex functions. In ...
Ogura, “Adaptive projected subgradient method for asymptotic minimization of sequence of nonnegative convex functions,” Numerical Functional Analysis and ...
The algorithm consists of two main steps. First, to improve the estimate of a minimizer, agents apply a particular version of the adaptive projected subgradient ...
Oct 22, 2024 · In this paper, we introduce the adaptive projected subgradient method (APSM) that can minimize asymptotically certain sequence of nonnegative ...
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Jennings, and Isao. Yamada, “Distributed asymptotic minimization of sequences of convex functions by a broadcast adaptive subgradient method,” IEEE Journal of.