scholarly journals Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems

2016 ◽  
Vol 26 (1) ◽  
pp. 337-364 ◽  
Author(s):  
Mingyi Hong ◽  
Zhi-Quan Luo ◽  
Meisam Razaviyayn
2013 ◽  
Vol 2013 ◽  
pp. 1-8
Author(s):  
Zehui Jia ◽  
Ke Guo ◽  
Xingju Cai

The purpose of this paper is extending the convergence analysis of Han and Yuan (2012) for alternating direction method of multipliers (ADMM) from the strongly convex to a more general case. Under the assumption that the individual functions are composites of strongly convex functions and linear functions, we prove that the classical ADMM for separable convex programming with two blocks can be extended to the case with more than three blocks. The problems, although still very special, arise naturally from some important applications, for example, route-based traffic assignment problems.


Author(s):  
De-Ren Han

AbstractRecently, alternating direction method of multipliers (ADMM) attracts much attentions from various fields and there are many variant versions tailored for different models. Moreover, its theoretical studies such as rate of convergence and extensions to nonconvex problems also achieve much progress. In this paper, we give a survey on some recent developments of ADMM and its variants.


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