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Algorithms and Inertial Algorithms for Inverse Mixed Variational Inequality Problems in Hilbert Spaces

Author

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  • Chih-Sheng Chuang

    (Department of Applied Mathematics, National Chiayi University, Chiayi 600355, Taiwan)

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.

Suggested Citation

  • Chih-Sheng Chuang, 2025. "Algorithms and Inertial Algorithms for Inverse Mixed Variational Inequality Problems in Hilbert Spaces," Mathematics, MDPI, vol. 13(12), pages 1-15, June.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:12:p:1966-:d:1679061
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