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A hybrid extragradient method for general variational inequalities

机译:一般变分不等式的混合超梯度方法

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摘要

In this paper, we introduce and study a hybrid extragradient method for finding solutions of a general variational inequality problem with inverse-strongly monotone mapping in a real Hilbert space. An iterative algorithm is proposed by virtue of the hybrid extragradient method. Under two sets of quite mild conditions, we prove the strong convergence of this iterative algorithm to the unique common element of the set of fixed points of a nonexpansive mapping and the set of solutions of the general variational inequality problem, respectively.
机译:在本文中,我们引入并研究了一种混合超梯度方法,该方法用于在实希尔伯特空间中利用反强单调映射来查找一般变分不等式问题的解。借助混合超梯度法提出了一种迭代算法。在两组相当温和的条件下,我们证明了该迭代算法对非扩张映射不动点集的唯一公共元素和一般变分不等式问题的解的强收敛性。

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