Decentralized convex optimization under affine constraints for power systems control

DOI10.1007/978-3-031-09607-5_5OpenAlexW4285289600MaRDI QIDQ2104293

Alexander Rogozin, Alexander V. Gasnikov, Demyan Yarmoshik, Oleg. O. Khamisov, Pavel Dvurechensky

Publication date: 7 December 2022

Full work available at URL: https://arxiv.org/abs/2203.16686

zbMATH Keywords

distributed controlsaddle point problemconstrained convex optimizationdistributed optimizationenergy system

Mathematics Subject Classification ID

Convex programming (90C25) Applications of mathematical programming (90C90)

Related Items (3)

Decentralized Strongly-Convex Optimization with Affine Constraints: Primal and Dual Approaches ⋮ Decentralized saddle-point problems with different constants of strong convexity and strong concavity ⋮ Decentralized optimization with affine constraints over time-varying networks

Cites Work

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• Rate Analysis of Inexact Dual First-Order Methods Application to Dual Decomposition
• Distributed Smooth Convex Optimization With Coupled Constraints
• Distributed Nonsmooth Optimization with Coupled Inequality Constraints via Modified Lagrangian Function

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