Shrinking projection method for proximal split feasibility and fixed point problems
Abstract
In this paper, we consider and study proximal split feasibility and fixed point problem. For solving the problems, we introduce an iterative algorithm with shrinking projection technique. It is proven that the sequence generated by the proposed iterative algorithm converges strongly to the common solution of the proximal split feasibility and fixed point problems.
Keywords
References
- [1] Censor, Y, Elfving, T: A multiprojection algorithm using Bregman projections in a product space. Numer. Algorithm 8,221-239(1994)
- [2] Byrne, C: A unified treatment of some iterative algorithm in signal processing and image reconstruction. Inverse Probl. 20,103-120(2004)
- [3] Censor, Y, Motova, A, Segal, A: Perturbed projections and subgradient projections for the multiple-sets split feasibilityproblem. J. Math. Anal. Appl. 327, 1244-1256(2007)
- [4] Byrne, C: Iterative oblique projection onto convex subsets and the split feasibility problem, Inverse Probl. 18, 441-453(2002)
- [5] Yao, Y., Liou, Y., Yao, J: Iterative algorithms for the split variational inequality and fixed point problems under nonlineartransformations. J. Nonlinear Sci. Appl., 10, 843–854(2017).
- [6] Yao, Y., Leng, L., Postolache, M., Zheng, X: Mann-type iteration method for solving the split common fixed point problem.J. Nonlinear Convex Anal., 18, 875–882(2017).
- [7] Censor, Y. Zaknoon, M: Algorithms and convergence results of projection methods for inconsistent feasibility problems: Areview. Pure and Applied Functional Analysis, 3, 565-586(2018).
- [8] Ceng, LC, Ansari, QH, Yao, JC: Relaxed extragradient methods for finding minimum-norm solutions of the split feasibilityproblem. Nonlinear. Anal. 75, 2116-2125(2012)
Details
Primary Language
English
Subjects
Mathematical Sciences
Journal Section
Research Article
Authors
Jinzuo Chen
*
This is me
China
Publication Date
August 30, 2019
Submission Date
July 17, 2019
Acceptance Date
August 12, 2019
Published in Issue
Year 2019 Volume: 2 Number: 2