多值算子近似解的收敛性

Z. H. Maibed
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引用次数: 0

摘要

本研究的目的是提供一种新的求解极大单调的显式迭代过程方法。M)在Hilbert空间中的算子,利用有限族的不同类型的映射,如(非膨胀映射,解析映射和投影映射)。本研究的发现加强并扩展了先前文献中的主要发现。然后,利用Hilbert空间中的各种结构条件和变分不等式问题,在闭包性和凸性两个重要收敛条件存在的情况下,研究了这些显式迭代过程方法对最近点投影的强收敛性。本研究报告的发现加强并扩展了先前文献中的主要发现
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Convergence To Approximate Solutions of Multivalued Operators
The goal of this study is to provide a new explicit iterative process method  approach for solving maximal monotone(M.M )operators in Hilbert spaces utilizing a finite family of different types of  mappings as( nonexpansive mappings,resolvent mappings and projection mappings. The findings given in this research strengthen and extend key previous findings in the literature. Then, utilizing various structural conditions in Hilbert space and variational inequality problems, we examine the strong convergence to nearest point projection for these explicit iterative process methods Under the presence of two important conditions for convergence, namely closure and convexity. The findings reported in this research strengthen and extend key previous findings from the literature
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审稿时长
18 weeks
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