Distributed Computational Framework for Large-Scale Stochastic Convex Optimization

This paper presents a distributed computational framework for stochastic convex optimization problems using the so-called scenario approach. Such a problem arises, for example, in a large-scale network of interconnected linear systems with local and common uncertainties. Due to the large number of r...

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Veröffentlicht in:	Energies (Basel) Jg. 14; H. 1; S. 23
Hauptverfasser:	Rostampour, Vahab, Keviczky, Tamás
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	MDPI AG 01.01.2021
Schlagworte:	decentralized scenario program distributed computation distributed scenario program distributed stochastic systems scenario convex program stochastic optimization
ISSN:	1996-1073, 1996-1073
Online-Zugang:	Volltext
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