A relaxed proximal point algorithm with double-inertial effects for nonconvex equilibrium problems
Optimization and Control
2025-02-18 v1
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.
Cite
@article{arxiv.2502.10986,
title = {A relaxed proximal point algorithm with double-inertial effects for nonconvex equilibrium problems},
author = {Nam Van Tran},
journal= {arXiv preprint arXiv:2502.10986},
year = {2025}
}