An Iterative Approach to the Solutions of Proximal Split Feasibility Problems
The Key Laboratory of Intelligent Information and Data Processing of NingXia Province, North Minzu University, Yinchuan 750021, China
Health Big Data Research Institute of North Minzu University, Yinchuan 750021, China
School of Mathematical Sciences, Tianjin Polytechnic University, Tianjin 300387, China
Author to whom correspondence should be addressed.
Received: 10 January 2019 / Revised: 25 January 2019 / Accepted: 28 January 2019 / Published: 3 February 2019
The proximal split feasibility problem is investigated in Hilbert spaces. An iterative procedure is introduced for finding the solution of the proximal split feasibility problem. Strong convergence analysis of the presented algorithm is proved.
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MDPI and ACS Style
Zhu, L.-J.; Yao, Y. An Iterative Approach to the Solutions of Proximal Split Feasibility Problems. Mathematics 2019, 7, 145.
Zhu L-J, Yao Y. An Iterative Approach to the Solutions of Proximal Split Feasibility Problems. Mathematics. 2019; 7(2):145.
Zhu, Li-Jun; Yao, Yonghong. 2019. "An Iterative Approach to the Solutions of Proximal Split Feasibility Problems." Mathematics 7, no. 2: 145.
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