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On shrinking projection method for cutter type mappings with nonsummable errors.

Authors :
Ibaraki, Takanori
Saejung, Satit
Source :
Journal of Inequalities & Applications; 7/7/2023, Vol. 2023 Issue 1, p1-20, 20p
Publication Year :
2023

Abstract

We prove two key inequalities for metric and generalized projections in a certain Banach space. We then obtain some asymptotic behavior of a sequence generated by the shrinking projection method introduced by Takahashi et al. (J. Math. Anal. Appl. 341:276–286, 2008) where the computation allows some nonsummable errors. We follow the idea proposed by Kimura (Banach and Function Spaces IV (ISBFS 2012), pp. 303–311, 2014). The mappings studied in this paper are more general than the ones in (Ibaraki and Kimura in Linear Nonlinear Anal. 2:301–310, 2016; Ibaraki and Kajiba in Josai Math. Monogr. 11:105–120, 2018). In particular, the results in (Ibaraki and Kimura in Linear Nonlinear Anal. 2:301–310, 2016; Ibaraki and Kajiba in Josai Math. Monogr. 11:105–120, 2018) are both extended and supplemented. Finally, we discuss our results for finding a zero of maximal monotone operator and a minimizer of convex functions on a Banach space. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10255834
Volume :
2023
Issue :
1
Database :
Complementary Index
Journal :
Journal of Inequalities & Applications
Publication Type :
Academic Journal
Accession number :
164782899
Full Text :
https://doi.org/10.1186/s13660-023-03004-1