z-logo
open-access-imgOpen Access
Analysis of Subgradient Extragradient Iterative Schemes for Variational Inequalities
Author(s) -
Danfeng Wu,
Li-Jun Zhu,
Zhuang Shan,
Tzu-Chien Yin
Publication year - 2021
Publication title -
journal of mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.252
H-Index - 13
eISSN - 2314-4785
pISSN - 2314-4629
DOI - 10.1155/2021/2218666
Subject(s) - subgradient method , variational inequality , mathematics , hilbert space , monotone polygon , convergence (economics) , inertial frame of reference , strongly monotone , weak convergence , mathematical optimization , pure mathematics , computer science , physics , geometry , computer security , quantum mechanics , economics , asset (computer security) , economic growth
In this paper, we investigate the monotone variational inequality in Hilbert spaces. Based on Censor’s subgradient extragradient method, we propose two modified subgradient extragradient algorithms with self-adaptive and inertial techniques for finding the solution of the monotone variational inequality in real Hilbert spaces. Strong convergence analysis of the proposed algorithms have been obtained under some mild conditions.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom