A Shrinking Projection Algorithm with Errors for Costerro Bounded Linear Mappings
Autor: | Joseph Frank Gordon |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: | |
Zdroj: | Journal of Mathematics, Vol 2020 (2020) |
Druh dokumentu: | article |
ISSN: | 2314-4629 2314-4785 |
DOI: | 10.1155/2020/7052349 |
Popis: | The purpose of this paper is to introduce and analyze the shrinking projection algorithm with errors for a finite set of costerro bounded linear mappings in the setting of uniformly convex smooth Banach spaces. Here, under finite dimensional or compactness restriction or the error term being zero, the strong limit point of the sequence stated in the iterative scheme for these mappings in uniformly convex smooth Banach spaces was studied. This paper extends Ezearn and Prempeh’s result for nonexpansive mappings in real Hilbert spaces. |
Databáze: | Directory of Open Access Journals |
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