Alternative Distributed Algorithms for Network Utility Maximization: Framework and Applications
By D. P. Palomar, Mung Chiang. IEEE Transactions on Automatic Control, 2007
304 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/8f4916b0a096ef5340b0980f3b8a75d775705b38
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- M. Lemmon
- Gesualdo Scutari
- D. P. Palomar
- Niangjun Chen
- Gautam Goel
- Adam Wierman
- Francisco Facchinei
- Jong-Shi Pang
In Electrical and Electronic Engineering
- M. Lemmon
- Gesualdo Scutari
- D. P. Palomar
- Niangjun Chen
- Gautam Goel
- Adam Wierman
- Francisco Facchinei
- Jong-Shi Pang
Citations in the corpus
- Event-Triggered Feedback in Control, Estimation, and Optimization (2010, methodology): “Among the existing algorithms [36, 44, 85, 53] solving the NUM problem, the dual-decomposition approach proposed by Low et al.”
- Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems (2013, background): “At one end of the spectrum we find gametheoretical approaches, where users in the network are modeled as players that greedily optimize their own objective function.”
- Thinking fast and slow: Optimization decomposition across timescales (2017, methodology): “Common approaches include primal-dual decomposition [27], [33], alternating direction method of multipliers [6], [13] etc.”
- MIMO Transceiver Design via Majorization Theory (2007, unknown): “We next overview the basic primal and dual decomposition techniques (the interested reader is referred to [107] for more details on decompositions).”