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
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;
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
DOI :
10.1109/ICMLC.2009.5212138