Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Advances in Metric Fixed Point Theory and Applications

Authors
Dong, Q.-L.Ke, S.-H.Cho, Y.J.Rassias, T.M.
Issue Date
May-2021
Publisher
Springer Singapore
Abstract
The authors [13] introduced a general inertial Krasnosel’skiǐ–Mann algorithm: for each n ≥ 1 and showed its convergence with the control conditions αn, βn ϵ [0, 1). In this paper, we present the convergence analysis of the general inertial Krasnosel’skiǐ–Mann algorithm with the control conditions αn ϵ [0, 1], βn ∈ (−∞, 0] and αn ∈ [−1, 0], βn ∈ [0,+∞), respectively. Also, we provide the convergence rate for the general inertial Krasnosel’skiˇı–Mann algorithm under mild conditions on the inertial parameters and some conditions on the relaxation parameters, respectively. Finally, we show that a numerical experiment provided compares the choice of inertial parameters. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.
Pages
503
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/71358
DOI
10.1007/978-981-33-6647-3_4
ISBN
978-981336647-3
ISSN
0000-0000
Files in This Item
There are no files associated with this item.
Appears in
Collections
사범대학 > 수학교육과 > Books & Book Chapters

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Cho, Yeol Je photo

Cho, Yeol Je
사범대학 (수학교육과)
Read more

Altmetrics

Total Views & Downloads

BROWSE