학술논문

An intermixed method for solving the combination of mixed variational inequality problems and fixed-point problems
Document Type
Original Paper
Source
Journal of Inequalities and Applications. 2023(1)
Subject
Mixed variational inequality problems
Intermixed algorithm
Strong convergence
Language
English
ISSN
1029-242X
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.