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

Wei Li, Ruilin Tan
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Abstract

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.
强相对非扩张映射不动点的Mann和Ishikawa迭代格式及其应用
相对非膨胀映射是一类重要的映射,它与图像恢复、经济学、应用数学和工程科学等领域的一些问题有着密切的联系。本文研究了两种迭代格式Mann和Ishikawa在光滑一致凸Banach空间中逼近强相对非扩展映射不动点的方法。与已有的强相对非可拓映射的迭代方案相比,这些迭代方案简单,易于实现。证明了一些弱收敛定理,对前人的一些工作进行了推广和补充。此外,还证明了迭代格式在极大单调算子零点逼近中的应用。
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