DocumentCode
1932105
Title
Weak and Strong Convergence of Iterative Algorithm with Errors for Three Asymptotically Nonexpansive Mappings
Author
Wang, Li-Ping ; Xiao, Zhuo-Feng
Author_Institution
Hebei Normal Univ., Shijiazhuang
Volume
5
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
2436
Lastpage
2441
Abstract
Construction of fixed points for asymptotically quasi-nonexpansive mappings is one of the important subjects in theory of nonexpansive mappings. Asymptotically quasi-nonexpansive mappings are widely used in a number of applied areas, such as image recovery and signal processing, etc. Consequently, considerable research efforts have been devoted to the study of iterative algorithms for finding fixed points for nonexpansive mappings. Mann iteration method and Ishikawa iteration method are among the most basic and famous iterative methods. In this paper, by combining the idea of Mann iteration and Ishikawa iteration, an iterative algorithm with errors involving three different asymptotically nonexpansive mappings is presented. And, under some conditions, the results that the algorithm converges weakly or strongly to the common fixed points of these three mappings in a uniformly convex Banach space are obtained.
Keywords
Banach spaces; algorithm theory; convex programming; iterative methods; Ishikawa iteration; Mann iteration; asymptotically nonexpansive mapping; convex Banach space; iterative algorithm convergence; Convergence; Cybernetics; Educational institutions; Information science; Iterative algorithms; Iterative methods; Machine learning; Mathematics; Signal mapping; Signal processing algorithms; Asymptotically nonexpansive mappings; Common fixed point; Three-stepped iterative algorithm with errors;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370555
Filename
4370555
Link To Document