A Viscosity Iterative Method with Alternated Inertial Terms for Solving the Split Feasibility Problem
Lulu Liu (),
Qiao-Li Dong (),
Shen Wang () and
Michael Th. Rassias ()
Additional contact information
Lulu Liu: Civil Aviation University of China
Qiao-Li Dong: Civil Aviation University of China
Shen Wang: Tianjin Foreign Studies University
Michael Th. Rassias: Hellenic Military Academy
A chapter in High-Dimensional Optimization and Probability, 2022, pp 359-372 from Springer
Abstract:
Abstract In this paper, we propose a viscosity iterative algorithm with alternated inertial extrapolation step to solve the split feasibility problem, where the self-adaptive stepsize is used. Under appropriate conditions, the proposed algorithm is proved to converge to a solution of the split feasibility problem, which is also the unique solution of a variational inequality problem. Finally, we demonstrate the effectiveness of the algorithm by a numerical example.
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-031-00832-0_11
Ordering information: This item can be ordered from
http://www.springer.com/9783031008320
DOI: 10.1007/978-3-031-00832-0_11
Access Statistics for this chapter
More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().