DocumentCode
476170
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
Volume
4
fYear
2008
fDate
12-15 July 2008
Firstpage
2309
Lastpage
2313
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICMLC.2008.4620790
Filename
4620790
Link To Document