A three-operator splitting scheme derived from three-block ADMM

Abstract This work presents a new three-operator splitting method to handle monotone inclusion and convex optimization problems. The proposed splitting serves as another natural extension of the Douglas-Rachford splitting technique to problems involving three operators. For solving a composite convex minimization of a sum of three functions, its formula resembles but is different from Davis-Yin splitting and the dual formulation of the classical three-block ADMM. Numerical tests suggest that such a splitting scheme is robust in the sense of allowing larger step sizes. When two functions have orthogonal domains, the splitting operator can be proven 1/2-averaged, which implies convergence of the iteration scheme using any positive step size.

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Publication Details

Journal
Optimization and Engineering
Published
2025-12-19
DOI
https://doi.org/10.1007/s11081-025-10060-7
Citations
2
Primary Topic
Advanced Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
5.26

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article

A three-operator splitting scheme derived from three-block ADMM

Xiangxiong Zhang, Anshika Anshika, Debdas Ghosh, Jia Li
2 citations
Optimization and Engineering
Advanced Optimization Algorithms Research
5.26
article

A three-operator splitting scheme derived from three-block ADMM

Xiangxiong Zhang, Anshika Anshika, Debdas Ghosh, Jia Li
article en
2 citations

Abstract

Abstract This work presents a new three-operator splitting method to handle monotone inclusion and convex optimization problems. The proposed splitting serves as another natural extension of the Douglas-Rachford splitting technique to problems involving three operators. For solving a composite convex minimization of a sum of three functions, its formula resembles but is different from Davis-Yin splitting and the dual formulation of the classical three-block ADMM. Numerical tests suggest that such a splitting scheme is robust in the sense of allowing larger step sizes. When two functions have orthogonal domains, the splitting operator can be proven 1/2-averaged, which implies convergence of the iteration scheme using any positive step size.

Optimization and Engineering
Purdue University West Lafayette (US), Banaras Hindu University (IN)
National Science Foundation, Purdue University, Science and Engineering Research Board
Openalex Percentile: Top 4%
Advanced Optimization Algorithms Research
5.26
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