A new self-adaptive algorithm for solving pseudomonotone variational inequality problems in Hilbert spaces
  • Duong Viet, Thong
  • Van Long, Luong
  • Li, Xiao-Huan
  • Dong, Qiao-Li
  • Cho, Yeol Je
  • 외 1명
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초록

In this paper, we revisit the subgradient extragradient method for solving a pseudomonotone variational inequality problem with the Lipschitz condition in real Hilbert spaces. A new algorithm based on the subgradient extragradient method with the technique of choosing a new step size is proposed. The weak convergence of the proposed algorithm is established under the pseudomonotonicity and the Lipschitz continuity as well as without using the sequentially weakly continuity of the variational inequality mapping and the nonasymptotic O(1/n) convergence rate of the proposed algorithm is presented, while the strong convergence theorem of the proposed algorithm is also proved under the strong pseudomonotonicity and the Lipschitz continuity hypotheses. In order to show the computational effectiveness of our algorithm, some numerical results are provided.

키워드

Subgradient extragradient methodinertial methodvariational inequality problempseudomonotone mappingLipschitz continuityconvergence rateSUBGRADIENT EXTRAGRADIENT METHODWEAK-CONVERGENCEMONOTONE-OPERATORSPROJECTION METHOD
제목
A new self-adaptive algorithm for solving pseudomonotone variational inequality problems in Hilbert spaces
저자
Duong Viet, ThongVan Long, LuongLi, Xiao-HuanDong, Qiao-LiCho, Yeol JeTuan, Pham Anh
DOI
10.1080/02331934.2021.1909584
발행일
2022-12
유형
Article
저널명
Optimization
71
12
페이지
3669 ~ 3693