Hybrid Algorithms for Variational Inequalities Involving a Strict Pseudocontraction

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초록

In a real Hilbert space, we investigate the Tseng's extragradient algorithms with hybrid adaptive step-sizes for treating a Lipschitzian pseudomonotone variational inequality problem and a strict pseudocontraction fixed-point problem, which are symmetry. By imposing some appropriate weak assumptions on parameters, we obtain a norm solution of the problems, which solves a certain hierarchical variational inequality.

키워드

extragradient method; variational inequality; fixed point; pseudocontractions; sequentially weak continuity; SUBGRADIENT EXTRAGRADIENT METHOD; ACCRETIVE-OPERATORS; STRONG-CONVERGENCE; NONEXPANSIVE-MAPPINGS; PROJECTION METHOD; FINITE FAMILY; POINT PROBLEM; FIXED-POINTS; ZERO-POINT; WEAK
제목
Hybrid Algorithms for Variational Inequalities Involving a Strict Pseudocontraction
저자
Cho, Sun Young
DOI
10.3390/sym11121502
발행일
2019-12
유형
Article
저널명
Symmetry
권
11
호
12