Strong Convergence of an Iterative Method for Equilibrium Problems and Variational Inequality Problems
Hong Yu Li, Hong Zhi Li
Abstract
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Hong Yu Li, Hong Zhi Li
Abstract
Open-access reader
Abstract We introduce an iterative method for finding a common element of the set of solutions of equilibrium problems, the set of solutions of variational inequality problems, and the set of fixed points of finite many nonexpansive mappings. We prove strong convergence of the iterative sequence generated by the proposed iterative algorithm to the unique solution of a variational inequality, which is the optimality condition for the minimization problem.
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Abstract We introduce an iterative method for finding a common element of the set of solutions of equilibrium problems, the set of solutions of variational inequality problems, and the set of fixed points of finite many nonexpansive mappings. We prove strong convergence of the iterative sequence generated by the proposed iterative algorithm to the unique solution of a variational inequality, which is the optimality condition for the minimization problem.
Key concepts: Variational inequality, Mathematics, Convergence (economics), Iterative method, Sequence (biology), Differential geometry, Fixed point, Applied mathematics