Alternated multi-step inertial iterative algorithm for solving the split feasibility problem in Hilbert spaces

被引:0
|
作者
School of Mathematics and Statistics, Xidian University, Shaanxi, Xi’an [1 ]
710126, China
不详 [2 ]
712000, China
机构
[1] Xidian University,School of Mathematics and Statistics
[2] Xianyang Normal University,School of Mathematics and Statistics
来源
Comput. Appl. Math. | 2025年 / 44卷 / 01期
关键词
Split feasibility problem; Multi-step inertial algorithm; Strong convergence; Signal recovery; 47H10; 47J20; 47J25; 90C25;
D O I
10.1007/s40314-024-02960-8
中图分类号
学科分类号
摘要
In this paper, we propose an alternated multi-step inertial iterative algorithm for solving the split feasibility problem involving two bounded linear operators in Hilbert spaces. The proposed algorithm adopts self-adaptive step size and the step size is bounded away from zero. Under some mild conditions, the strong convergence of the sequence generated by the proposed algorithm is established. Finally, the numerical experiments are presented to verify the effectiveness and superiority of our proposed algorithm. Our results are innovative and can be an enrichment to the recently published results in the literature. © The Author(s) under exclusive licence to Sociedade Brasileira de Matemática Aplicada e Computacional 2024.
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