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Mann and Ishikawa iterative schemes for fixed points of strongly relatively nonexpansive mappings and their applications

机译:强相对非扩张映射的不动点的Mann和Ishikawa迭代方案及其应用

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Relatively nonexpansive mapping is a kind of important mappings which has a close connection with some problems in the area of image recovery, economics, applied mathematics and engineering sciences. Two kinds of iterative schemes, Mann and Ishikawa iterative schemes, will be investigated for approximating the fixed points of strongly relatively nonexpan-sive mappings in a real smooth and uniformly convex Banach space. Compared to the already existing iterative schemes for strongly relatively nonexpan-sive mappings, these iterative schemes are simple and easy to realize. Some weak convergence theorems are proved, which extend and complement some previous work. Moreover, the applications of the iterative schemes on approximating zero points of maximal monotone operators are demonstrated.
机译:相对非膨胀映射是一种重要的映射,与图像恢复,经济学,应用数学和工程科学领域的一些问题密切相关。将研究两种迭代方案,Mann和Ishikawa迭代方案,以逼近真实光滑且一致凸Banach空间中的强相对非扩张映射的固定点。与已经存在的用于相对强烈的非扩展映射的迭代方案相比,这些迭代方案简单易实现。证明了一些弱收敛定理,这些定理扩展并补充了先前的工作。此外,证明了迭代方案在最大单调算子的零点附近的应用。

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