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Strong Convergence of a Unified General Iteration for k-Strictly Pseudononspreading Mapping in Hilbert Spaces
Joint Authors
Wen, Dao-Jun
Chen, Yi-An
Tang, Yan
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-04
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
We introduce a unified general iterative method to approximate a fixed point of k-strictly pseudononspreading mapping.
Under some suitable conditions, we prove that the iterative sequence generated by the proposed method converges strongly to a fixed point of a k-strictly pseudononspreading mapping with an idea of mean convergence, which also solves a class of variational inequalities as an optimality condition for a minimization problem.
The results presented in this paper may be viewed as a refinement and as important generalizations of the previously known results announced by many other authors.
American Psychological Association (APA)
Wen, Dao-Jun& Chen, Yi-An& Tang, Yan. 2014. Strong Convergence of a Unified General Iteration for k-Strictly Pseudononspreading Mapping in Hilbert Spaces. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1033615
Modern Language Association (MLA)
Wen, Dao-Jun…[et al.]. Strong Convergence of a Unified General Iteration for k-Strictly Pseudononspreading Mapping in Hilbert Spaces. Abstract and Applied Analysis No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1033615
American Medical Association (AMA)
Wen, Dao-Jun& Chen, Yi-An& Tang, Yan. Strong Convergence of a Unified General Iteration for k-Strictly Pseudononspreading Mapping in Hilbert Spaces. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1033615
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033615