A Shrinking Projection Algorithm with Errors for Costerro Bounded Linear Mappings
A Shrinking Projection Algorithm with Errors for Costerro Bounded Linear Mappings
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Date
2020-04-29
Authors
Gordon, Joseph Frank
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Hindawi
Abstract
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 com-
pactness 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 non-
expansive mappings in real Hilbert spaces.
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Citation
Gordon, J. F. (2020). A Shrinking Projection Algorithm with Errors for Costerro Bounded Linear Mappings. Journal of Mathematics, 2020, 1-6.