Solving Non-monotone Variational Inequality Problems Involving Non-Lipschitz Mappings with Application to Image Restoration.

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Title: Solving Non-monotone Variational Inequality Problems Involving Non-Lipschitz Mappings with Application to Image Restoration.
Authors: Adamu, Abubakar1,2,3 (AUTHOR) adamuabubakar@cqnu.edu.cn, Viet Thong, Duong4 (AUTHOR) thongduongviet@neu.edu.vn, Thi An, Nguyen4 (AUTHOR) annt@neu.edu.vn, Huy Ngan, Dang4 (AUTHOR) ngandh@neu.edu.vn
Source: Journal of Scientific Computing. Jun2026, Vol. 107 Issue 3, p1-30. 30p.
Subjects: Monotone operators, Lipschitz spaces, Hilbert space
Abstract: In this paper, we introduce two self-adaptive subgradient extragradient methods for solving non-monotone variational inequalities involving non-Lipschitz mappings in real Hilbert space. Under weaker conditions than the existing conditions, we investigate and present strong convergence theorems of the proposed algorithms. Our results extend and improve the studied results in the literature. Finally, we give an application to image restoration and some numerical experiments to demonstrate the efficiency of our proposed algorithms. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Scientific Computing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: In this paper, we introduce two self-adaptive subgradient extragradient methods for solving non-monotone variational inequalities involving non-Lipschitz mappings in real Hilbert space. Under weaker conditions than the existing conditions, we investigate and present strong convergence theorems of the proposed algorithms. Our results extend and improve the studied results in the literature. Finally, we give an application to image restoration and some numerical experiments to demonstrate the efficiency of our proposed algorithms. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Scientific Computing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10915-026-03274-z
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      – Code: eng
        Text: English
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        PageCount: 30
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      – SubjectFull: Monotone operators
        Type: general
      – SubjectFull: Lipschitz spaces
        Type: general
      – SubjectFull: Hilbert space
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      – TitleFull: Solving Non-monotone Variational Inequality Problems Involving Non-Lipschitz Mappings with Application to Image Restoration.
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            NameFull: Adamu, Abubakar
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            NameFull: Viet Thong, Duong
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            NameFull: Thi An, Nguyen
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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