An extended ADMM for 3-block nonconvex nonseparable problems with applications

We consider a 3-block Alternating Direction Method of Multipliers (ADMM) for solving nonconvex nonseparable problems with linear constraints. Inspired by [37, Sun,Toh and Yang,SIAM Journal on Optimization,25 (2015),pp. 882-915], the proposed ADMM follows the Block Coordinate Descent (BCD) cycle order $ 1\to 3\to 2\to 3 $ to guarantee convergence. We analyze its global convergence based on the Kurdyka-Łojasiewicz property. Also, we discuss two useful extensions of the proposed ADMM with $ 2\to 3\to 1\to 3 $ Gauss-Seidel BCD cycle order, and with adding a proximal term for more generally nonseparable problems, respectively. Moreover, we build a brand new model for nonnegative matrix completion, and report numerical experiments to reveal the efficiency and outperformance of the proposed ADMM.

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Publication Details

Journal
Journal of Industrial and Management Optimization
Published
2025-01-01
DOI
https://doi.org/10.3934/jimo.2025116
Primary Topic
Optimization and Variational Analysis
Type
article
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article

An extended ADMM for 3-block nonconvex nonseparable problems with applications

Zekun Liu
Journal of Industrial and Management Optimization
Optimization and Variational Analysis
article

An extended ADMM for 3-block nonconvex nonseparable problems with applications

Zekun Liu
article en

Abstract

We consider a 3-block Alternating Direction Method of Multipliers (ADMM) for solving nonconvex nonseparable problems with linear constraints. Inspired by [37, Sun,Toh and Yang,SIAM Journal on Optimization,25 (2015),pp. 882-915], the proposed ADMM follows the Block Coordinate Descent (BCD) cycle order $ 1\to 3\to 2\to 3 $ to guarantee convergence. We analyze its global convergence based on the Kurdyka-Łojasiewicz property. Also, we discuss two useful extensions of the proposed ADMM with $ 2\to 3\to 1\to 3 $ Gauss-Seidel BCD cycle order, and with adding a proximal term for more generally nonseparable problems, respectively. Moreover, we build a brand new model for nonnegative matrix completion, and report numerical experiments to reveal the efficiency and outperformance of the proposed ADMM.

Journal of Industrial and Management OptimizationVol. 21(9)
Openalex Percentile: Top 78%
Optimization and Variational Analysis
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An extended ADMM for 3-block nonconvex nonseparable problems with applications — Zekun Liu · Journal of Industrial and Management Optimization (2025) | TGRS Research Map | TGRS