Distributed Bregman-Distance Algorithms for Min-Max Optimization
- 1 January 2013
- book chapter
- Published by Springer Nature
- p. 143-174
Abstract
No abstract availableKeywords
This publication has 27 references indexed in Scilit:
- Distributed Subgradient Methods for Convex Optimization Over Random NetworksIEEE Transactions on Automatic Control, 2010
- A Randomized Incremental Subgradient Method for Distributed Optimization in Networked SystemsSIAM Journal on Optimization, 2010
- Distributed Consensus Algorithms in Sensor Networks With Imperfect Communication: Link Failures and Channel NoiseIEEE Transactions on Signal Processing, 2008
- Power Control in Wireless Cellular NetworksFoundations and Trends® in Networking, 2008
- Coordination of groups of mobile autonomous agents using nearest neighbor rulesIEEE Transactions on Automatic Control, 2003
- Gradient Convergence in Gradient methods with ErrorsSIAM Journal on Optimization, 2000
- Numerical Techniques for Stochastic Optimization1988
- stochastic quasigradient methods and their application to system optimization†Stochastics, 1983
- Necessary and sufficient conditions for a penalty method to be exactMathematical Programming, 1975
- The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programmingUSSR Computational Mathematics and Mathematical Physics, 1967