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Partially Symmetric Regularized Two-Step Inertial Alternating Direction Method of Multipliers for Non-Convex Split Feasibility Problems

Author

Listed:
  • Can Yang

    (Business School, University of Shanghai for Science and Technology, Jungong Road, Shanghai 200093, China)

  • Yazheng Dang

    (Business School, University of Shanghai for Science and Technology, Jungong Road, Shanghai 200093, China)

Abstract

This paper presents a partially symmetric regularized two-step inertial alternating direction method of multipliers for solving non-convex split feasibility problems (SFP), which adds a two-step inertial effect to each subproblem and includes an intermediate update term for multipliers during the iteration process. Under suitable assumptions, the global convergence is demonstrated. Additionally, with the help of the Kurdyka−Łojasiewicz (KL) property, which quantifies the behavior of a function near its critical points, the strong convergence of the proposed algorithm is guaranteed. Numerical experiments are performed to demonstrate the efficacy.

Suggested Citation

  • Can Yang & Yazheng Dang, 2025. "Partially Symmetric Regularized Two-Step Inertial Alternating Direction Method of Multipliers for Non-Convex Split Feasibility Problems," Mathematics, MDPI, vol. 13(9), pages 1-18, May.
  • Handle: RePEc:gam:jmathe:v:13:y:2025:i:9:p:1510-:d:1649072
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    References listed on IDEAS

    as
    1. Biao Qu & Changyu Wang & Naihua Xiu, 2017. "Analysis on Newton projection method for the split feasibility problem," Computational Optimization and Applications, Springer, vol. 67(1), pages 175-199, May.
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