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Two strong convergence subgradient extragradient methods for solving variational inequalities in Hilbert spaces

机译:用于求解希尔伯特空间的变分不等式的两种强大收敛次生特征方法

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摘要

In this paper we are focused on solving monotone and Lipschitz continuous variational inequalities in real Hilbert spaces. Motivated by several recent results related to the subgradient extragradient method (SEM), we propose two SEM extensions which do not require the knowledge of the Lipschitz constant associated with the variational inequality operator. Under mild and standard conditions, we establish the strong convergence of our schemes. Primary numerical examples demonstrate the potential of our algorithms as well as compare their performances to several related results.
机译:在本文中,我们专注于求解真正的希尔伯特空间中的单调和嘴唇持续变分不等式。 由近几个与子辐射以外的方法(SEM)相关的结果,我们提出了两个不要求与变分不等式运算符相关的LipsChitz常数的知识。 在轻度和标准条件下,我们建立了我们计划的强烈融合。 主要数值示例展示了我们算法的潜力,以及将它们的性能与几个相关结果进行比较。

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