ON INERTIAL SUBGRADIENT EXTRAGRADIENT RULE FOR MONOTONE BILEVEL EQUILIBRIUM PROBLEMS

In a real Hilbert space, let the GSVI and CFPP represent a general system of varia-tional inclusions and a common fixed point problem of countable nonexpansive mappings and an asymptotically nonexpansive mapping, respectively. In this paper, via a new inertial subgradient ex-tragradient rule we introduce and analyze two iterative algorithms for solving the monotone bilevel equilibrium problem (MBEP) with the GSVI and CFPP as constraints. Some strong convergence theorems for the proposed algorithms are established under some mild assumptions. Our results improve and extend some corresponding results in the earlier and very recent literature.