Max-Weight Revisited: Sequences of Nonconvex Optimizations Solving Convex Optimizations

@article{Valls2016MaxWeightRS,
  title={Max-Weight Revisited: Sequences of Nonconvex Optimizations Solving Convex Optimizations},
  author={V{\'i}ctor Valls and D. Leith},
  journal={IEEE/ACM Transactions on Networking},
  year={2016},
  volume={24},
  pages={2676-2689}
}
  • Víctor Valls, D. Leith
  • Published 2016
  • Computer Science, Mathematics
  • IEEE/ACM Transactions on Networking
  • We investigate the connections between max-weight approaches and dual subgradient methods for convex optimization. We find that strong connections exist, and we establish a clean, unifying theoretical framework that includes both max-weight and dual subgradient approaches as special cases. Our analysis uses only elementary methods and is not asymptotic in nature. It also allows us to establish an explicit and direct connection between discrete queue occupancies and Lagrange multipliers. 

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