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首页> 外文期刊>Journal of Computational and Applied Mathematics >Implicit iterative algorithms for asymptotically nonexpansive mappings in the intermediate sense and Lipschitz-continuous monotone mappings
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Implicit iterative algorithms for asymptotically nonexpansive mappings in the intermediate sense and Lipschitz-continuous monotone mappings

机译:中间意义上渐近非扩张映射和Lipschitz-连续单调映射的隐式迭代算法

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摘要

In this paper, we introduce some implicit iterative algorithms for finding a common element of the set of fixed points of an asymptotically nonexpansive mapping in the intermediate sense and the set of solutions of the variational inequality problem for a monotone, Lipschitz-continuous mapping. These implicit iterative algorithms are based on two well-known methods: extragradient and approximate proximal methods. We obtain some weak convergence theorems for these implicit iterative algorithms. Based on these theorems, we also construct some implicit iterative processes for finding a common fixed point of two mappings, such that one of these two mappings is taken from the more general class of Lipschitz pseudocontractive mappings and the other mapping is asymptotically nonexpansive.
机译:在本文中,我们介绍了一些隐式迭代算法,用于在中间意义上找到渐近非扩张映射的不动点集的公共元素以及单调Lipschitz连续映射的变分不等式问题的解集。这些隐式迭代算法基于两种众所周知的方法:超梯度法和近似近端法。对于这些隐式迭代算法,我们获得了一些弱收敛定理。基于这些定理,我们还构造了一些隐式迭代过程,以查找两个映射的公共不动点,因此,这两个映射中的一个来自更通用的Lipschitz伪压缩映射,另一个映射是渐近非扩张的。

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