Title :
Iterative algorithm to common fixed points of infinite nonexpansive mappings in Banach spaces
Author :
Li, Wei ; Duan, Li-ling
Author_Institution :
Sch. of Math. & Stat., Hebei Univ. of Econ. & Bus., Shijiazhuang
Abstract :
Finding iterative algorithms to approximate fixed points for nonexpansive mappings is a very active topic in a number of mathematical and engineering areas, in particular, in image recovery and signal processing. Considerable research efforts have been devoted to the study of this area in recent years. By now, there already exist some algorithms, but they are not quite enough to deal with problems of finding common fixed points of infinite nonexpansive mappings. In this paper, a more general form of iterative algorithm is introduced which is proved to be strongly convergent to common fixed point of infinite nonexpansive mappings in a real strictly convex and uniformly smooth Banach space by using some new techniques.
Keywords :
Banach spaces; iterative methods; Banach space; common fixed points; infinite nonexpansive mapping; iterative algorithm; Convergence; Cybernetics; Hilbert space; Iterative algorithms; Machine learning; Mathematics; Signal mapping; Signal processing; Signal processing algorithms; Statistics; Banach space; Iterative algorithm; Nonexpansive mappings; fixed points;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620790