Accelerated dual descent for network optimization

  title={Accelerated dual descent for network optimization},
  author={Michael Zargham and Alejandro R. Ribeiro and Ali Jadbabaie and Asuman E. Ozdaglar},
  journal={Proceedings of the 2011 American Control Conference},
Dual descent methods are commonly used to solve network optimization problems because their implementation can be distributed through the network. However, their convergence rates are typically very slow. This paper introduces a family of dual descent algorithms that use approximate Newton directions to accelerate the convergence rate of conventional dual descent. These approximate directions can be computed using local information exchanges thereby retaining the benefits of distributed… CONTINUE READING
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Accelerated dual descent for network optimization

  • M. Zargham, A. Ribeiro, A. Ozdaglar, A. Jadbabaie
  • 2011
1 Excerpt

Separation theorems of wireless networking

  • A. Ribeiro, G. B. Giannakis
  • IEEE Transactions on Information Theory
  • 2007
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