New inertial relaxed method for solving split feasibilities

Shehu Y, Gibali A. 2020. New inertial relaxed method for solving split feasibilities. Optimization Letters. 15, 2109–2126.


Journal Article | Published | English

Scopus indexed
Author
Shehu, YekiniISTA ; Gibali, Aviv
Department
Abstract
In this paper, we introduce a relaxed CQ method with alternated inertial step for solving split feasibility problems. We give convergence of the sequence generated by our method under some suitable assumptions. Some numerical implementations from sparse signal and image deblurring are reported to show the efficiency of our method.
Publishing Year
Date Published
2020-06-02
Journal Title
Optimization Letters
Acknowledgement
Open access funding provided by Institute of Science and Technology (IST Austria). The authors are grateful to the referees for their insightful comments which have improved the earlier version of the manuscript greatly. The first author has received funding from the European Research Council (ERC) under the European Union’s Seventh Framework Program (FP7-2007-2013) (Grant agreement No. 616160).
Volume
15
Page
2109-2126
IST-REx-ID

Cite this

Shehu Y, Gibali A. New inertial relaxed method for solving split feasibilities. Optimization Letters. 2020;15:2109-2126. doi:10.1007/s11590-020-01603-1
Shehu, Y., & Gibali, A. (2020). New inertial relaxed method for solving split feasibilities. Optimization Letters. Springer Nature. https://doi.org/10.1007/s11590-020-01603-1
Shehu, Yekini, and Aviv Gibali. “New Inertial Relaxed Method for Solving Split Feasibilities.” Optimization Letters. Springer Nature, 2020. https://doi.org/10.1007/s11590-020-01603-1.
Y. Shehu and A. Gibali, “New inertial relaxed method for solving split feasibilities,” Optimization Letters, vol. 15. Springer Nature, pp. 2109–2126, 2020.
Shehu Y, Gibali A. 2020. New inertial relaxed method for solving split feasibilities. Optimization Letters. 15, 2109–2126.
Shehu, Yekini, and Aviv Gibali. “New Inertial Relaxed Method for Solving Split Feasibilities.” Optimization Letters, vol. 15, Springer Nature, 2020, pp. 2109–26, doi:10.1007/s11590-020-01603-1.
All files available under the following license(s):
Copyright Statement:
This Item is protected by copyright and/or related rights. [...]

Link(s) to Main File(s)
Access Level
OA Open Access

Export

Marked Publications

Open Data ISTA Research Explorer

Search this title in

Google Scholar