Detailed Information

Cited 4 time in webofscience Cited 13 time in scopus
Metadata Downloads

Revisiting subgradient extragradient methods for solving variational inequalities

Authors
Tan, BingQin, XiaolongCho, Sun Young
Issue Date
Aug-2022
Publisher
SPRINGER
Keywords
Variational inequality; Inertial extragradient method; Armjio stepsize; Pseudomonotone mapping; Non-Lipschitz operator
Citation
NUMERICAL ALGORITHMS, v.90, no.4, pp.1593 - 1615
Indexed
SCIE
SCOPUS
Journal Title
NUMERICAL ALGORITHMS
Volume
90
Number
4
Start Page
1593
End Page
1615
URI
https://scholarworks.bwise.kr/gnu/handle/sw.gnu/993
DOI
10.1007/s11075-021-01243-1
ISSN
1017-1398
Abstract
In this paper, several extragradient algorithms with inertial effects and adaptive non-monotonic step sizes are proposed to solve pseudomonotone variational inequalities in real Hilbert spaces. The strong convergence of the proposed methods is established without the prior knowledge of the Lipschitz constant of the mapping. Some numerical experiments are given to illustrate the advantages and efficiency of the proposed schemes over previously known ones.
Files in This Item
There are no files associated with this item.
Appears in
Collections
본부대학II > 휴먼헬스케어학과 > Journal Articles

qrcode

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

Related Researcher

Researcher Cho, Sun Young photo

Cho, Sun Young
본부대학 (휴먼헬스케어학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE