DocumentCode
498801
Title
Global convergence theorems of regularization iterative algorithm in uniformly smooth Banach spaces
Author
Shi Jinwei ; Zheng Yaqin ; Wang Fuhai
Author_Institution
North China Electr. Power Univ., Baoding, China
Volume
4
fYear
2009
fDate
12-15 July 2009
Firstpage
2101
Lastpage
2105
Abstract
Let E be a real uniformly smooth Banach space and A : D(A) sube E rarr 2E be a m-accretive mapping which satisfies a linear growth condition of the form ||u|| les C (1 + ||x||) for some constant C > 0 and for all x isin E and u isin Ax, z isin D(A) be an arbitrary element. Suppose A-1 0 ne oslash. The sequence {xn} sub D(A) is generated from arbitrary x0 isin D (A) by xn+l isin xn -lambdan (un + thetasn (xn - z)), un isin Axn, n ges 0, where {lambdan} and {thetasn{ are acceptably paired, then {xn{ converges strongly to x* isin A-(0). As its application, we have deduced a strong convergence theorem for the iterative algorithm of fixed points for continuous pseudocontractions.
Keywords
Banach spaces; iterative methods; global convergence theorems; iterative algorithm regularization; linear growth condition; m-accretive mapping; uniformly smooth Banach spaces; Convergence; Cybernetics; Iterative algorithms; Machine learning; Accretive mapping; Global convergence theorem; Pseudocontraction; Regularization iterative algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212138
Filename
5212138
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