Multiple-Set Split Feasibility Problems forκ-Strictly Pseudononspreading Mapping in Hilbert Spaces | Zendy

Jing Quan | Zendy; Shih-sen Chang | Zendy; Xiang Zhang | Zendy

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Multiple-Set Split Feasibility Problems forκ-Strictly Pseudononspreading Mapping in Hilbert Spaces

Author(s) -

Jing Quan,

Shih-sen Chang,

Xiang Zhang

Publication year - 2013

Publication title -

abstract and applied analysis

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.228

H-Index - 56

eISSN - 1687-0409

pISSN - 1085-3375

DOI - 10.1155/2013/342545

Subject(s) - convergence (economics) , algorithm , mathematics , set (abstract data type) , hilbert space , data set , computer science , statistics , mathematical analysis , economics , programming language , economic growth

The purpose of this paper is to prove some weak and strong convergence theorems for solving the multiple-set split feasibility problems for κ-strictly pseudononspreading mapping in infinite-dimensional Hilbert spaces by using the proposed iterative method. The main results presented in this paper extend and improve the corresponding results of Xu et al. (2006), of Osilike et al. (2011), and of many other authors

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