Abstract
In this paper, two relaxed CQ algorithms with non-inertial and inertial steps are proposed for solving the split feasibility problems with multiple output sets (SFPMOS) in infinite-dimensional real Hilbert spaces. The step size is determined dynamically without requiring prior information about the operator norm. Furthermore, the proposed algorithms are proven to converge strongly to the minimum-norm solution of the SFPMOS. Some applications of our main results regarding the solution of the split feasibility problem are presented. Finally, we give two numerical examples to illustrate the efficiency and implementation of our algorithms in comparison with existing algorithms in the literature.
Similar content being viewed by others
Data availability
The MATLAB codes used in the calculations are available from the corresponding author upon request.
References
Bauschke, H.H., Combettes, P.L.: Convex Analysis and Monotone Operator Theory in Hilbert Spaces. Springer, Berlin (2011)
Bauschke, H.H., Borwein, J.M.: On projection algorithms for solving convex feasibility problems. SIAM Rev. 38, 367–426 (1996)
Byrne, C.: Iterative oblique projection onto convex sets and the split feasibility problem. Inverse Probl. 18, 441–453 (2002)
Byrne, C.: A unified treatment of some iterative algorithms in signal processing and image reconstruction. Inverse Probl. 20, 103–120 (2004)
Censor, Y., Elfving, T.: A multi-projection algorithm using Bregman projections in a product space. Numer. Algorithms 8, 221–239 (1994)
Censor, Y., Elfving, T., Kopf, N., Bortfeld, T.: The multiple-sets split feasibility problem and its application. Inverse Probl. 21(6), 2071–2084 (2005)
Censor, Y., Bortfeld, T., Martin, B., Trofimov, A.: A unified approach for inversion problems in intensity-modulated radiation therapy. Phys. Med. Biol. 51, 2353–2365 (2006)
Censor, Y., Motova, A., Segal, A.: Perturbed projections and subgradient projections for the multiple sets split feasibility problem. J. Math. Anal. Appl. 327, 1244–1256 (2007)
Cuong, T.L., Anh, T.V., Van, T.H.M.: A self-adaptive step size algorithm for solving variational inequalities with the split feasibility problem with multiple output sets constraints. Numer. Funct. Anal. Optim. 43(9), 1009–1026 (2022)
Figueiredo, M.A., Nowak, R.D., Wright, S.J.: Gradient projection for sparse reconstruction: application to compressed sensing and other inverse problems. IEEE J. Sel. Top. Signal Process. 1, 586–98 (2007)
Fukushima, M.: A relaxed projection method for variational inequalities. Math. Program. 35, 58–70 (1986)
He, S., Yang, C.: Solving the variational inequality problem defined on the intersection of finite level sets. Abstr. Appl. Anal. 2013, 942315 (2013)
López, G., Martín-Márquez, V., Wang, F., Xu, H.K.: Solving the split feasibility problem without prior knowledge of matrix norms. Inverse Probl. 28(8), 085004 (2012)
Reich, S., Truong, M.T., Mai, T.N.H.: The split feasibility problem with multiple output sets in Hilbert spaces. Optim. Lett. 14, 2335–2353 (2020)
Wang, F., Xu, H.K.: Approximating curve and strong convergence of the CQ algorithm for the split feasibility problem. J. Inequal. Appl. 2010, 102085 (2010)
Wang, F.: The split feasibility problem with multiple output sets for demi contractive mappings. J. Optim. Theory Appl. 195(3), 837–853 (2022)
Xu, H.K.: Iterative methods for the split feasibility problem in infinite-dimensional Hilbert spaces. Inverse Problem. 26(10), 105018 (2010)
Yang, Q.: The relaxed CQ algorithm solving the split feasibility problem. Inverse Problem. 20(4), 1261–1266 (2004)
Yu, H., Wang, F.: A new relaxed method for the split feasibility problem in Hilbert spaces. Optimization (2022). https://doi.org/10.1080/02331934.2022.2158036
Yu, X., Shahzad, N., Yao, Y.: Implicit and explicit algorithms for solving the split feasibility problem. Optim. Lett. 6, 1447–1462 (2012)
Acknowledgements
The authors would like to thank the referees and the editor for their valuable comments and suggestions which improve the presentation of this manuscript.
Funding
No funding was provided to conduct the research
Author information
Authors and Affiliations
Contributions
The authors contributed equally to this work.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that there is no conflict of interest regarding the publication of this manuscript.
Additional information
Communicated by Anton Abdulbasah Kamil.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Thuy, N.T.T., Tung, T.T. Two Relaxed CQ Methods for the Split Feasibility Problem with Multiple Output Sets. Bull. Malays. Math. Sci. Soc. 47, 68 (2024). https://doi.org/10.1007/s40840-023-01647-3
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s40840-023-01647-3