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Modified subgradient extragradient algorithms for systems of generalized equilibria with constraints

  • Received: 15 June 2022 Revised: 22 October 2022 Accepted: 09 November 2022 Published: 14 November 2022
  • MSC : 47H09, 47H10, 47J20, 47J25

  • In this paper, we introduce the modified Mann-like subgradient-like extragradient implicit rules with linear-search process for finding a common solution of a system of generalized equilibrium problems, a pseudomonotone variational inequality problem and a fixed-point problem of an asymptotically nonexpansive mapping in a real Hilbert space. The proposed algorithms are based on the subgradient extragradient rule with linear-search process, Mann implicit iteration approach, and hybrid deepest-descent technique. Under mild restrictions, we demonstrate the strong convergence of the proposed algorithms to a common solution of the investigated problems, which is a unique solution of a certain hierarchical variational inequality defined on their common solution set.

    Citation: Lu-Chuan Ceng, Li-Jun Zhu, Tzu-Chien Yin. Modified subgradient extragradient algorithms for systems of generalized equilibria with constraints[J]. AIMS Mathematics, 2023, 8(2): 2961-2994. doi: 10.3934/math.2023154

    Related Papers:

  • In this paper, we introduce the modified Mann-like subgradient-like extragradient implicit rules with linear-search process for finding a common solution of a system of generalized equilibrium problems, a pseudomonotone variational inequality problem and a fixed-point problem of an asymptotically nonexpansive mapping in a real Hilbert space. The proposed algorithms are based on the subgradient extragradient rule with linear-search process, Mann implicit iteration approach, and hybrid deepest-descent technique. Under mild restrictions, we demonstrate the strong convergence of the proposed algorithms to a common solution of the investigated problems, which is a unique solution of a certain hierarchical variational inequality defined on their common solution set.



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