A novel result for approximating solutions to an equilibrium problem in a Hilbert space
摘要
This paper puts forth a new algorithm that utilizes a two-step inertial technique with adaptive step sizes in order to solve equilibrium problems in real Hilbert spaces. We prove that, under certain suitable conditions, our algorithm converges weakly to a solution of the equilibrium problem. Numerical experiments bolster our theoretical analysis, validating the efficacy of the proposed method in attaining convergence as predicted. In particular, the numerical findings align with and corroborate our theoretical proofs of weak convergence. Our results extend and improve some existing results in the literature regarding the subgradient extragradient method for solving equilibrium problems.