求解Hilbert空间中分裂单调变分包含问题和有限族变分不等式问题的迭代方法

Wanna Sriprad, Somnuk Srisawat
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引用次数: 0

摘要

本文的目的是研究寻找分裂单调变分包含问题(SMIV)解集和有限一族变分不等式问题解集的公共元素的混合算法的收敛性分析。在适当的假设下,在实数Hilbert空间的框架下证明了一个强收敛定理。此外,通过使用我们的结果,我们获得了一些涉及分裂凸最小化问题(SCMPs)和分裂可行性问题(SFPs)的附加结果。同时,我们给出了一些数值例子来支持我们的主要定理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Iterative Method for Solving Split Monotone Variational Inclusion Problems and Finite Family of Variational Inequality Problems in Hilbert Spaces
The purpose of this paper is to study the convergence analysis of an intermixed algorithm for finding the common element of the set of solutions of split monotone variational inclusion problem (SMIV) and the set of a finite family of variational inequality problems. Under the suitable assumption, a strong convergence theorem has been proved in the framework of a real Hilbert space. In addition, by using our result, we obtain some additional results involving split convex minimization problems (SCMPs) and split feasibility problems (SFPs). Also, we give some numerical examples for supporting our main theorem.
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