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Convergence of Some Iterative Algorithms for System of Generalized Set-Valued Variational Inequalities

机译:一种迭代算法的融合,用于广义集价变分不等式系统的系统

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In this article, we consider and study a system of generalized set-valued variational inequalities involving relaxed cocoercive mappings in Hilbert spaces. Using the projection method and Banach contraction principle, we prove the existence of a solution for the considered problem. Further, we propose an iterative algorithm and discuss its convergence. Moreover, we establish equivalence between the system of variational inequalities and altering points problem. Some parallel iterative algorithms are proposed, and the strong convergence of the sequences generated by these iterative algorithms is discussed. Finally, a numerical example is constructed to illustrate the convergence analysis of the proposed parallel iterative algorithms.
机译:在本文中,我们考虑并研究涉及希尔伯特空间中涉及轻松的Cocoervive映射的广义集价分分的变分不等式系统。 使用投影方法和Banach收缩原理,我们证明了考虑问题的解决方案。 此外,我们提出了一种迭代算法并讨论其融合。 此外,我们建立了变分不等式系统与改变点问题之间的等价。 提出了一些并行迭代算法,并且讨论了这些迭代算法产生的序列的强烈收敛。 最后,构造一个数字示例以说明所提出的并行迭代算法的收敛性分析。

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