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Modified Krasnoselski-Mann type iterative algorithm with strong convergence for hierarchical fixed point problem and split monotone variational inclusions

机译:改进的krasnoselski-mann型迭代算法,具有分层固定点问题的强大收敛性,分离单调变分夹杂物

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摘要

In this paper, we introduce a modified Krasnoselski-Mann type method for solving the hierarchical fixed point problem and split monotone variational inclusions in real Hilbert spaces. We prove that the sequence generated by the modified algorithm converges strongly to a common element of the set of hierarchical fixed point problem and split monotone variational inclusions only basing on the coefficients. Our results extend and improve the weak convergence results of Kazmi et al. (Kazmi et al., 2018) and others. Moreover, an application and its numerical examples illustrate the feasibility and strong convergence of the proposed method and results. (c) 2021 Elsevier B.V. All rights reserved.
机译:本文介绍了一种改进的Krasnoselski-Mann型方法,用于求解实Hilbert空间中的分层不动点问题和分裂单调变分包含。证明了改进算法生成的序列仅基于系数就强收敛于分层不动点问题集和分裂单调变分包含集的公共元。我们的结果扩展并改进了Kazmi等人(Kazmi等人,2018年)和其他人的弱收敛结果。此外,一个应用及其数值例子说明了所提方法和结果的可行性和强收敛性。(c)2021爱思唯尔B.V.保留所有权利。

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