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Approximating best proximity points for Reich type non-self nonexpansive mappings
Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas ( IF 2.9 ) Pub Date : 2020-09-05 , DOI: 10.1007/s13398-020-00931-2
Rajendra Pant , Rahul Shukla , Vladimir Rakočević

In this paper, we consider a general class of non-self non expansive mappings and present best proximity point results in Hilbert spaces. More precisely, we employ a Krasnosel’skiĭ–Mann type algorithm to approximate best proximity points of non-self mappings. We also propose some hybrid algorithms and obtain certain strong convergence results.

中文翻译:

逼近 Reich 类型非自非膨胀映射的最佳邻近点

在本文中,我们考虑一类非自非扩展映射,并在希尔伯特空间中呈现最佳邻近点结果。更准确地说,我们采用 Krasnosel'skiĭ–Mann 类型算法来逼近非自映射的最佳邻近点。我们还提出了一些混合算法,并获得了一定的强收敛结果。
更新日期:2020-09-05
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