A Relaxed Alternating Direction Method Of Multipliers For Separable Nonconvex Minimization Problems

The alternating direction method of multipliers (ADMM) is popular and powerful in computing the solutions of various composite minimization problems with constraints. In this paper, we propose a relaxed ADMM with a general dual step-size, which includes the classic ADMM in the algorithm framework, f...

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Bibliographic Details
Published in:	Journal of optimization theory and applications Vol. 207; no. 1; p. 17
Main Authors:	Zhao, Jing, Guo, Chenzheng, Qin, Xiaolong
Format:	Journal Article
Language:	English
Published:	New York Springer Nature B.V 01.10.2025
Subjects:	Algorithms Constraints Convex analysis Lagrange multiplier Multipliers Optimization
ISSN:	0022-3239, 1573-2878
Online Access:	Get full text
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