Online Primal-Dual Methods With Measurement Feedback for Time-Varying Convex Optimization

DOI10.1109/TSP.2019.2896112zbMath1458.90508arXiv1804.05159OpenAlexW2949595678WikidataQ128468734 ScholiaQ128468734MaRDI QIDQ4631488

Andrea Simonetto, Emiliano Dall'Anese, Andrey Bernstein

Publication date: 29 March 2019

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1804.05159

Mathematics Subject Classification ID

Convex programming (90C25) Online algorithms; streaming algorithms (68W27)

Related Items (6)

Online data-enabled predictive control ⋮ Adaptive backstepping for distributed optimization ⋮ Personalized optimization with user's feedback ⋮ Running Primal-Dual Gradient Method for Time-Varying Nonconvex Problems ⋮ Bounds for the tracking error of first-order online optimization methods ⋮ Projected Dynamical Systems on Irregular, Non-Euclidean Domains for Nonlinear Optimization

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