Advanced search
Publication Cover
Stochastic Analysis and Applications Volume 23, 2005 - Issue 1
Submit an article Journal homepage
50
Views
4
CrossRef citations to date
0
Altmetric
Original Articles

Random Ishikawa Iterative Sequence with Applications

S.S. Chang Department of Mathematics, Yibin University, Yibin, Sichuan; Sichuan University, Chengdu, Sichuan, P. R. China
,
Y.J. Cho Department of Mathematics Education, Research Institute of Natural Sciences, Gyeongsang National University, Chinju, Korea
,
J.K. Kim Department of Mathematics, Kyungnam University, Masan, Korea
&
H.Y. Zhou Department of Mathematics, Shijiazhuang Mechanical Engineering College, Shijiazhuang, P. R. China
Pages 69-77 | Received 07 Mar 2003, Accepted 23 Sep 2003, Published online: 01 Sep 2006
 
Sample our Mathematics & Statistics journals, sign in here to start your FREE access for 14 days

Abstract

The purpose of this paper is to construct a random Ishikawa iterative sequence for random strongly pseudo-contractive operator T in separable Banach spaces and to study that under suitable conditions this random iterative sequence converges to a random fixed point to T.

Mathematics Subject Classification:

ACKNOWLEDGMENT

The second author was supported financially from the Korea Research Foundation Grant (KRF-2001-005-D00002) and the third author was supported from the Kyungnam University Research Fund 2003.

Log in via your institution

Access through your institution

Log in to Taylor & Francis Online

Restore content access

Restore content access for purchases made as guest
Purchase options * Save for later

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 901.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.