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

Yang, Yang and Scutari, G. and Palomar, Daniel and Pesavento, Marius (2016):
A parallel decomposition method for nonconvex stochastic multi-agent optimization problems.
In: IEEE Transactions on Signal Processing, vol. 64, (12), [Online-Edition: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7412...],
[Article]

Item Type: Article
Erschienen: 2016
Creators: Yang, Yang and Scutari, G. and Palomar, Daniel and Pesavento, Marius
Title: A parallel decomposition method for nonconvex stochastic multi-agent optimization problems
Language: English
Journal or Publication Title: IEEE Transactions on Signal Processing
Volume: vol. 64
Number: 12
Divisions: 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Communication Systems
18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications
Date Deposited: 19 Apr 2016 07:26
Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7412...
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