A Novel Inertial Projection and Contraction Method for Solving Pseudomonotone Variational Inequality Problems

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초록

In this paper, we introduce a new algorithm which combines the inertial contraction projection method and the Mann-type method (Mann in Proc. Am. Math. Soc. 4:506-510, 1953) for solving monotone variational inequality problems in real Hilbert spaces. The strong convergence of our proposed algorithm is proved under some standard assumptions imposed on cost operators. Finally, we give some numerical experiments to illustrate the proposed algorithm and the main result.

키워드

Inertial contraction projection method; Mann-type method; Pseudomonotone mapping; Pseudomonotone variational inequality problem; SUBGRADIENT EXTRAGRADIENT METHOD; MAXIMAL MONOTONE-OPERATORS; PROXIMAL POINT ALGORITHM; STRONG-CONVERGENCE; HEMIVARIATIONAL INEQUALITIES; ITERATIVE METHODS; WEAK-CONVERGENCE; GRADIENT METHODS; WELL-POSEDNESS; HYBRID METHOD
제목
A Novel Inertial Projection and Contraction Method for Solving Pseudomonotone Variational Inequality Problems
저자
Cholamjiak, Prasit; Duong Viet Thong; Cho, Yeol Je
DOI
10.1007/s10440-019-00297-7
발행일
2020-10
유형
Article
저널명
Acta Applicandae Mathematicae
권
169
호
1
페이지
217 ~ 245