A Common Solution of Equilibrium, Constrained Convex Minimization and Fixed Point Problems





Equilibrium problem; Constrained convex minimization problem; Averaged mapping; Iterative method; Fixed point.


In this paper, we propose a new iterative scheme with the help of the gradient- projection algorithm (GPA) for finding a common solution of an equilibrium problem, a constrained convex minimization problem, and a fixed point problem. Then, we prove some strong convergence theorems which improve and extend some recent results. Moreover, we give a numerical result to show the validity of our main theorem.


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How to Cite

Yazdi, M. (2021). A Common Solution of Equilibrium, Constrained Convex Minimization and Fixed Point Problems. Tamkang Journal of Mathematics, 52(2), 293–308. https://doi.org/10.5556/j.tkjm.52.2021.3521