An intermixed method for solving the combination of mixed variational inequality problems and fixed-point problems

dc.contributor.authorWongvisarut Khuangsatung
dc.contributor.authorAtid Kangtunyakarn
dc.date.accessioned2025-07-21T06:08:36Z
dc.date.issued2023-01-03
dc.description.abstractAbstract In this paper, we introduce an intermixed algorithm with viscosity technique for finding a common solution of the combination of mixed variational inequality problems and the fixed-point problem of a nonexpansive mapping in a real Hilbert space. Moreover, we propose the mathematical tools related to the combination of mixed variational inequality problems in the second section of this paper. Utilizing our mathematical tools, a strong convergence theorem is established for the proposed algorithm. Furthermore, we establish additional conclusions concerning the split-feasibility problem and the constrained convex-minimization problem utilizing our main result. Finally, we provide numerical experiments to illustrate the convergence behavior of our proposed algorithm.
dc.identifier.doi10.1186/s13660-022-02908-8
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/12138
dc.subjectMinification
dc.subject.classificationOptimization and Variational Analysis
dc.titleAn intermixed method for solving the combination of mixed variational inequality problems and fixed-point problems
dc.typeArticle

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