An inertial subgradient extragradient algorithm for modified variational inclusion problem and mixed equilibrium problem in real Hilbert space
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s11565-023-00459-4.pdf
Reference44 articles.
1. Abass, H., Aremu, K., Jolaoso, L., Mewomo, O.: An inertial forward–backward splitting method for approximating solutions of certain optimization problems. Nonlinear Funct. Anal. 2020 (2020)
2. Alakoya, T.O., Jolaoso, L.O., Mewomo, O.T.: Two modifications of the inertial Tseng extragradient method with self-adaptive step size for solving monotone variational inequality problems. Demonstratio Math. 53(1), 208–224 (2020)
3. Alakoya, T.O., Jolaoso, L.O., Mewomo, O.T.: A self adaptive inertial algorithm for solving split variational inclusion and fixed point problems with applications. J. Ind. Manag. Optim. 18(1), 239 (2022)
4. Alansari, M., Ali, R., Farid, M.: Strong convergence of an inertial iterative algorithm for variational inequality problem, generalized equilibrium problem, and fixed point problem in a Banach space. J. Inequal. Appl. 2020(1), 1–22 (2020)
5. Bauschke, H.H., Combettes, P.L.: Convex Analysis and Monotone Operator Theory in Hilbert Spaces, vol. 408. Springer, Berlin (2011)
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