A Shrinking Projection Algorithm with Errors for Costerro Bounded Linear Mappings

Simple item page
dc.contributor.authorGordon, Joseph Frank
dc.date.accessioned2023-11-27T15:59:48Z
dc.date.available2023-11-27T15:59:48Z
dc.date.issued2020-04-29
dc.description.abstractThe 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.
dc.identifier.citationGordon, J. F. (2020). A Shrinking Projection Algorithm with Errors for Costerro Bounded Linear Mappings. Journal of Mathematics, 2020, 1-6.
dc.identifier.urihttps://ir.aamusted.edu.gh/handle/123456789/991
dc.language.isoen
dc.publisherHindawi
dc.titleA Shrinking Projection Algorithm with Errors for Costerro Bounded Linear Mappings
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Shrinking.pdf
Size:
1.22 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
Department of Construction & Wood Technology Education