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
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;
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
DOI :
10.1109/ICMLC.2007.4370555