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Open AccessArticle
Algorithms and Inertial Algorithms for Inverse Mixed Variational Inequality Problems in Hilbert Spaces
by
Chih-Sheng Chuang
Chih-Sheng Chuang
Department of Applied Mathematics, National Chiayi University, Chiayi 600355, Taiwan
Mathematics 2025, 13(12), 1966; https://doi.org/10.3390/math13121966 (registering DOI)
Submission received: 20 May 2025
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Revised: 10 June 2025
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Accepted: 13 June 2025
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Published: 14 June 2025
Abstract
The inverse mixed variational inequality problem comes from classical variational inequality, and it has many applications. In this paper, we propose new algorithms to study the inverse mixed variational inequality problems in Hilbert spaces, and these algorithms are based on the generalized projection operator. Next, we establish convergence theorems under inverse strong monotonicity conditions. In addition, we also provide inertial-type algorithms for the inverse mixed variational inequality problems with conditions that differ from the above convergence theorems.
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MDPI and ACS Style
Chuang, C.-S.
Algorithms and Inertial Algorithms for Inverse Mixed Variational Inequality Problems in Hilbert Spaces. Mathematics 2025, 13, 1966.
https://doi.org/10.3390/math13121966
AMA Style
Chuang C-S.
Algorithms and Inertial Algorithms for Inverse Mixed Variational Inequality Problems in Hilbert Spaces. Mathematics. 2025; 13(12):1966.
https://doi.org/10.3390/math13121966
Chicago/Turabian Style
Chuang, Chih-Sheng.
2025. "Algorithms and Inertial Algorithms for Inverse Mixed Variational Inequality Problems in Hilbert Spaces" Mathematics 13, no. 12: 1966.
https://doi.org/10.3390/math13121966
APA Style
Chuang, C.-S.
(2025). Algorithms and Inertial Algorithms for Inverse Mixed Variational Inequality Problems in Hilbert Spaces. Mathematics, 13(12), 1966.
https://doi.org/10.3390/math13121966
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