可计数非扩展映射的层次变分不等式的Mann混合最深下降法

IF 0.7 Q2 MATHEMATICS Muenster Journal of Mathematics Pub Date : 2023-05-15 DOI:10.1155/2023/6177912
Yun-Ling Cui, L. Ceng, Fang-Fei Zhang, Liang He, Jie Yin, Cong-Shan Wang, Huiying Hu
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引用次数: 1

摘要

在实数Hilbert空间中,设CFPP表示一个渐近非扩张算子和数个非扩张算子的公共不动点问题,并设HVI和VIP分别表示一个层次变分不等式和一个变分不等式问题。在CFPP约束和VIP约束下,提出了求解HVI的Mann混合深度下降法。该算法基于Mann迭代法、黏度近似法、线性搜索过程的亚梯度超聚规则和混合深度下降规则。在适当的约束条件下,算法构造的序列强收敛于具有CFPP和VIP约束的HVI的解。
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Mann Hybrid Deepest-Descent Extragradient Method with Line-Search Process for Hierarchical Variational Inequalities for Countable Nonexpansive Mappings
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.
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