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The convergence and numerical analysis of shrinking projection algorithms with two iterative sequences and hybrid midpoint rules in Hilbert spaces

Weng Shengquan et al · De Gruyter · 2026

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In this paper, firstly, based on Halpern iterative algorithm, Mann iterative algorithm, shrinking projection algorithm and hybrid midpoint rules, we introduce two modified strong convergence algorithms for nonexpansive mappings. In theory, this idea for hybrid midpoint rules is meaningful and it has a certain positive effect on the construction of the algorithm and the improvement of its corresponding properties. Next, two strong convergence theorems of the proposed algorithms are established. Then, we present the theoretical application of the main conclusions to the splitting feasibility problem. Finally, we demonstrate the iterative performance of the proposed algorithms through two numerical examples.

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APA 7

al, W. S. E. (2026). The convergence and numerical analysis of shrinking projection algorithms with two iterative sequences and hybrid midpoint rules in Hilbert spaces. https://doi.org/10.1515/math-2025-0238

MLA

al, Weng Shengquan et. "The convergence and numerical analysis of shrinking projection algorithms with two iterative sequences and hybrid midpoint rules in Hilbert spaces." 2026. https://doi.org/10.1515/math-2025-0238.

Chicago

al, Weng Shengquan et. 2026. "The convergence and numerical analysis of shrinking projection algorithms with two iterative sequences and hybrid midpoint rules in Hilbert spaces.". https://doi.org/10.1515/math-2025-0238.

Harvard

al, W. S. E. 2026, The convergence and numerical analysis of shrinking projection algorithms with two iterative sequences and hybrid midpoint rules in Hilbert spaces, De Gruyter, available at: https://doi.org/10.1515/math-2025-0238 [Accessed 8 Aug. 2026].

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Title
The convergence and numerical analysis of shrinking projection algorithms with two iterative sequences and hybrid midpoint rules in Hilbert spaces
Author / contributors
Weng Shengquan et al
Publisher
De Gruyter
Publication year
2026
ISSN
2391-5455
ISSN
2391-5455
Language
English

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