Convergence of multi-block Bregman ADMM for nonconvex composite problems

被引:0
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作者
Fenghui Wang
Wenfei Cao
Zongben Xu
机构
[1] Xi’an Jiaotong University,School of Mathematics and Statistics
[2] Luoyang Normal University,Department of Mathematics
[3] Shaanxi Normal University,School of Mathematics and Information Science
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关键词
nonconvex regularization; alternating direction method; subanalytic function; K-L inequality; Bregman distance;
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摘要
The alternating direction method with multipliers (ADMM) is one of the most powerful and successful methods for solving various composite problems. The convergence of the conventional ADMM (i.e., 2-block) for convex objective functions has been stated for a long time, and its convergence for nonconvex objective functions has, however, been established very recently. The multi-block ADMM, a natural extension of ADMM, is a widely used scheme and has also been found very useful in solving various nonconvex optimization problems. It is thus expected to establish the convergence of the multi-block ADMM under nonconvex frameworks. In this paper, we first justify the convergence of 3-block Bregman ADMM. We next extend these results to the N-block case (N ≥ 3), which underlines the feasibility of multi-block ADMM applications in nonconvex settings. Finally, we present a simulation study and a real-world application to support the correctness of the obtained theoretical assertions.
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