Time-Varying Convex Optimization: Time-Structured Algorithms and Applications

Optimization underpins many of the challenges that science and technology face on a daily basis. Recent years have witnessed a major shift from traditional optimization paradigms grounded on batch algorithms for medium-scale problems to challenging dynamic, time-varying, and even huge-size settings....

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Veröffentlicht in:	Proceedings of the IEEE Jg. 108; H. 11; S. 2032 - 2048
Hauptverfasser:	Simonetto, Andrea, Dall'Anese, Emiliano, Paternain, Santiago, Leus, Geert, Giannakis, Georgios B.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.11.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Approximation algorithms Computational geometry Convergence of numerical methods Convex functions Convexity Heuristic algorithms Machine learning Optimization optimization methods Power system dynamics Prediction algorithms Robotics Time-varying systems
ISSN:	0018-9219, 1558-2256
Online-Zugang:	Volltext
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