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CDC
2010
IEEE
182views Control Systems» more  CDC 2010»
13 years 2 months ago
An approximate dual subgradient algorithm for multi-agent non-convex optimization
We consider a multi-agent optimization problem where agents aim to cooperatively minimize a sum of local objective functions subject to a global inequality constraint and a global ...
Minghui Zhu, Sonia Martínez
MP
1998
63views more  MP 1998»
13 years 7 months ago
On the projected subgradient method for nonsmooth convex optimization in a Hilbert space
Ya. I. Alber, Alfredo N. Iusem, Mikhail V. Solodov
CDC
2008
IEEE
129views Control Systems» more  CDC 2008»
14 years 1 months ago
Distributed subgradient methods and quantization effects
Abstract— We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objec...
Angelia Nedic, Alexander Olshevsky, Asuman E. Ozda...
ICASSP
2011
IEEE
12 years 11 months ago
Optimal wireless networks based on local channel state information
We consider distributed algorithms to optimize random access multihop wireless networks in the presence of fading. Since the associated optimization problem is neither convex nor ...
Yichuan Hu, Alejandro Ribeiro
NETCOOP
2007
Springer
14 years 1 months ago
The Practical Performance of Subgradient Computational Techniques for Mesh Network Utility Optimization
In the networking research literature, the problem of network utility optimization is often converted to the dual problem which, due to nondifferentiability, is solved with a part...
Peng Wang, Stephan Bohacek