A parallel decomposition method for nonconvex stochastic multi-agent optimization problems

Reference : A parallel decomposition method for nonconvex stochastic multi-agent optimization problems


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/33752

Title :	A parallel decomposition method for nonconvex stochastic multi-agent optimization problems
Language :	English
Author, co-author :	Yang, Yang [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Scutari, Gesualdo []
	Palomar, Daniel []
	Pesavento, Marius []
Publication date :	16-Feb-2016
Journal title :	IEEE Transactions on Signal Processing
Publisher :	IEEE
Volume :	64
Issue/season :	11
Pages :	2949-2964
Peer reviewed :	Yes
ISSN :	1053-587X
Permalink :	http://hdl.handle.net/10993/33752
DOI :	10.1109/TSP.2016.2531627
Other URL :	http://ieeexplore.ieee.org/document/7412752/
Framework Programme / European Project :	FP7 ; 619647 - ADEL - Advanced Dynamic spectrum 5G mobile networks Employing Licensed shared access

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