The subgradient extragradient method with inertial extrapolation step x n + θ n (x n - xn-1) (also known as inertial subgradient extragradient method) has been studied extensively in the literature for solving variational inequalities and equilibrium problems. Most of the inertial subgradient extragradient methods in the literature for both variational inequalities and equilibrium problems have not considered the special case when the inertial factor θ n = 1. The convergence results have always been obtained when the inertial factor θ n is assumed 0 ≤ θ n < 1. This paper considers the relaxed inertial version of subgradient extragradient method for equilibrium problems with 0 ≤ θ n ≤ 1. We give both weak and strong convergence results using this inertial subgradient extragradient method and also give some numerical illustrations.
|Journal||International Journal of Nonlinear Sciences and Numerical Simulation|
|Publication status||Accepted/In press - 2021|
- Equilibrium problem
- Hilbert spaces
- Inertial step
- Subgradient extragradient method
- Weak and strong convergence