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Modified inertial subgradient extragradient algorithms for generalized equilibria systems with constraints of variational inequalities and fixed points

  • Received: 11 February 2024 Revised: 31 March 2024 Accepted: 10 April 2024 Published: 15 April 2024
  • MSC : 47H09, 47H10, 47J20, 47J25

  • In this research, we studied modified inertial composite subgradient extragradient implicit rules for finding solutions of a system of generalized equilibrium problems with a common fixed-point problem and pseudomonotone variational inequality constraints. The suggested methods consisted of an inertial iterative algorithm, a hybrid deepest-descent technique, and a subgradient extragradient method. We proved that the constructed algorithms converge to a solution of the considered problem, which also solved some hierarchical variational inequality.

    Citation: Lu-Chuan Ceng, Shih-Hsin Chen, Yeong-Cheng Liou, Tzu-Chien Yin. Modified inertial subgradient extragradient algorithms for generalized equilibria systems with constraints of variational inequalities and fixed points[J]. AIMS Mathematics, 2024, 9(6): 13819-13842. doi: 10.3934/math.2024672

    Related Papers:

  • In this research, we studied modified inertial composite subgradient extragradient implicit rules for finding solutions of a system of generalized equilibrium problems with a common fixed-point problem and pseudomonotone variational inequality constraints. The suggested methods consisted of an inertial iterative algorithm, a hybrid deepest-descent technique, and a subgradient extragradient method. We proved that the constructed algorithms converge to a solution of the considered problem, which also solved some hierarchical variational inequality.



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