A relaxed proximal point algorithm with double-inertial effects for nonconvex equilibrium problems
Year: 2025
Type: preprint
Abstract: In this paper, we present a relaxation proximal point method with double inertial effects to approximate a solution of a non-convex equilibrium problem. We give global convergence results of the iterative sequence generated by our algorithm. Some known results are recovered as special cases of our results. Numerical test is given to support the theoretical findings.
Source: arXiv (Cornell University)
Author: Van Tran, Nam
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4407689978