Distributed Computational Framework for Large-Scale Stochastic Convex Optimization

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
Main Authors: Vahab Rostampour, Tamás Keviczky
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Energies
Subjects:
stochastic optimization
scenario convex program
distributed computation
distributed stochastic systems
distributed scenario program
decentralized scenario program
Online Access:https://www.mdpi.com/1996-1073/14/1/23

Internet

https://www.mdpi.com/1996-1073/14/1/23

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