An intermixed method for solving the combination of mixed variational inequality problems and fixed-point problems
| dc.contributor.author | Wongvisarut Khuangsatung | |
| dc.contributor.author | Atid Kangtunyakarn | |
| dc.date.accessioned | 2025-07-21T06:08:36Z | |
| dc.date.issued | 2023-01-03 | |
| dc.description.abstract | Abstract 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.doi | 10.1186/s13660-022-02908-8 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/12138 | |
| dc.subject | Minification | |
| dc.subject.classification | Optimization and Variational Analysis | |
| dc.title | An intermixed method for solving the combination of mixed variational inequality problems and fixed-point problems | |
| dc.type | Article |