Munkong, Jiraprapa; Dinh, Bui Van; Ungchittrakool, Kasamsuk An inertial multi-step algorithm for solving equilibrium problems. (English) Zbl 1487.47110 J. Nonlinear Convex Anal. 21, No. 9, 1981-1993 (2020). Summary: In this paper, we introduce an algorithm based upon the proximal-point and inertial term extrapolation step for solving equilibrium problems in a real Hilbert space. The inertial term extrapolation step is introduced to speed up the rate of convergence of the iteration process. Under some appropriate assumptions on the bifunctions involving pseudomonotone and Lipschitz-type conditions, we obtain the weak convergence of the iterative sequence generated by the proposed algorithm. A numerical experiment of the algorithm is provided to illustrate the numerical behavior and also comparison with some other related algorithms in the literature. MSC: 47J25 Iterative procedures involving nonlinear operators 47H05 Monotone operators and generalizations 47J20 Variational and other types of inequalities involving nonlinear operators (general) 65K15 Numerical methods for variational inequalities and related problems 90C25 Convex programming Keywords:proximal-like method; equilibrium problem; inertial method; Lipschitz-type continuous; real Hilbert space; weak convergence PDFBibTeX XMLCite \textit{J. Munkong} et al., J. Nonlinear Convex Anal. 21, No. 9, 1981--1993 (2020; Zbl 1487.47110) Full Text: Link