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Mann Hybrid Deepest-Descent Extragradient Method with Line-Search Process for Hierarchical Variational Inequalities for Countable Nonexpansive Mappings

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  • Yun-Ling Cui
  • Lu-Chuan Ceng
  • Fang-Fei Zhang
  • Liang He
  • Jie Yin
  • Cong-Shan Wang
  • Hui-Ying Hu
  • Rehan Ali

Abstract

In real Hilbert spaces, let the CFPP indicate a common fixed-point problem of asymptotically nonexpansive operator and countably many nonexpansive operators, and suppose that the HVI and VIP represent a hierarchical variational inequality and a variational inequality problem, respectively. We put forward Mann hybrid deepest-descent extragradient approach for solving the HVI with the CFPP and VIP constraints. The proposed algorithms are on the basis of Mann’s iterative technique, viscosity approximation method, subgradient extragradient rule with linear-search process, and hybrid deepest-descent rule. Under suitable restrictions, it is shown that the sequences constructed by the algorithms converge strongly to a solution of the HVI with the CFPP and VIP constraints.

Suggested Citation

  • Yun-Ling Cui & Lu-Chuan Ceng & Fang-Fei Zhang & Liang He & Jie Yin & Cong-Shan Wang & Hui-Ying Hu & Rehan Ali, 2023. "Mann Hybrid Deepest-Descent Extragradient Method with Line-Search Process for Hierarchical Variational Inequalities for Countable Nonexpansive Mappings," Journal of Mathematics, Hindawi, vol. 2023, pages 1-18, May.
    • Handle: RePEc:hin:jjmath:6177912
    DOI: 10.1155/2023/6177912
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