Modified accelerated algorithms for solving variational inequalities

Citations

WEB OF SCIENCE

13
Citations

SCOPUS

13

초록

In this paper, we propose two inertial algorithms with new stepsize rule for solving a monotone and Lipschitz variational inequality in a Hilbert space and prove some weak and strong convergence theorems of the proposed inertial algorithms. The algorithms use variable stepsizes which are updated at each iteration by a simple computation without any linesearch. A new stepsize rule presented in the paper has allowed the algorithms to work without the prior knowledge of Lipschitz constant of operator. Finally, we give several numerical results to demonstrate the computational performance of the new algorithms in comparison with other algorithms.

키워드

Variational inequalitymonotone operatorextragradient methodsubgradient extragradient methodprojection methodSUBGRADIENT EXTRAGRADIENT METHODFINDING COMMON SOLUTIONSMONOTONE-OPERATORSSTRONG-CONVERGENCEPROJECTION
제목
Modified accelerated algorithms for solving variational inequalities
저자
Dang Van HieuCho, Yeol JeXiao, Yi-bin
DOI
10.1080/00207160.2019.1686487
발행일
2020-11
유형
Article
저널명
International Journal of Computer Mathematics
97
11
페이지
2233 ~ 2258