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.accessioned2026-05-08T19:16:07Z
dc.date.issued2023-1-3
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/123456789/15377
dc.publisherJournal of Inequalities and Applications
dc.subjectOptimization and Variational Analysis
dc.subjectAdvanced Optimization Algorithms Research
dc.subjectTopology Optimization in Engineering
dc.titleAn intermixed method for solving the combination of mixed variational inequality problems and fixed-point problems
dc.typeArticle

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