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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Bibliographic Details

Published in:	Energies (Basel) Vol. 14; no. 1; p. 23
Main Authors:	Rostampour, Vahab, Keviczky, Tamás
Format:	Journal Article
Language:	English
Published:	MDPI AG 01.01.2021
Subjects:	decentralized scenario program distributed computation distributed scenario program distributed stochastic systems scenario convex program stochastic optimization
ISSN:	1996-1073, 1996-1073
Online Access:	Get full text
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