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» A distributed newton method for network optimization
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CDC
2009
IEEE
243views Control Systems» more  CDC 2009»
13 years 9 months ago
A distributed newton method for network optimization
— Most existing work uses dual decomposition and subgradient methods to solve network optimization problems in a distributed manner, which suffer from slow convergence rate prope...
Ali Jadbabaie, Asuman E. Ozdaglar, Michael Zargham
CORR
2011
Springer
204views Education» more  CORR 2011»
12 years 11 months ago
Accelerated Dual Descent for Network Optimization
—Dual descent methods are commonly used to solve network optimization problems because their implementation can be distributed through the network. However, their convergence rat...
Michael Zargham, A. Ribeiro, Ali Jadbabaie, Asuman...
CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
12 years 12 months ago
A distributed Newton method for Network Utility Maximization
Most existing work uses dual decomposition and subgradient methods to solve Network Utility Maximization (NUM) problems in a distributed manner, which suffer from slow rate of con...
Ermin Wei, Asuman E. Ozdaglar, Ali Jadbabaie
SIAMCO
2011
12 years 12 months ago
Semismooth Newton Methods for Optimal Control of the Wave Equation with Control Constraints
In this paper optimal control problems governed by the wave equation with control constraints are analyzed. Three types of control action are considered: distributed control, Neuma...
Axel Kröner, Karl Kunisch, Boris Vexler
ICASSP
2011
IEEE
12 years 8 months ago
Non-linear noise compensation for robust speech recognition using Gauss-Newton method
In this paper, we present the Gauss-Newton method as a unified approach to optimizing non-linear noise compensation models, such as vector Taylor series (VTS), data-driven parall...
Yong Zhao, Biing-Hwang Juang