吉林大学学报(理学版) ›› 2020, Vol. 58 ›› Issue (4): 847-852.

• 数学 • 上一篇    下一篇

单调变分不等式问题外梯度方法的推广

闻道君1,2, 张蓉3, 何光1   

  1. 1. 重庆工商大学 数学与统计学院, 重庆 400067;  2. 经济社会应用统计重庆市重点实验室, 重庆 400067;3. 重庆邮电大学 理学院, 重庆 400065
  • 收稿日期:2019-12-11 出版日期:2020-07-26 发布日期:2020-07-16
  • 通讯作者: 闻道君 E-mail:daojunwen@163.com

Extension of Extragradient Method forMonotone Variational Inequality Problems

WEN Daojun1,2, ZHANG Rong3, HE Guang1   

  1. 1. College of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing 400067, China;[JP]
    2. Chongqing Key Laboratory of Social Economy and Applied Statistics, Chongqing 400067, China;
    3. College of Science, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Received:2019-12-11 Online:2020-07-26 Published:2020-07-16
  • Contact: WEN Daojun E-mail:daojunwen@163.com

摘要: 利用Armijo似搜索和强正有界算子改进单调变分不等式问题的外梯度方法, 并在Hilbert空间中讨论Armijo似搜索的可行性, 建立逼近单调变分不等式问题解的强收敛定理.

关键词: 变分不等式, 单调算子, Armijo似搜索, 外梯度方法, 强收敛

Abstract: Using the Armijolike search and strongly positive bounded operator to improve an extragradient method of monotone variational inequality problem. We discussed the feasibility of the Armijolike search in a Hilbert space, and established strong convergence theorems to approximate the solution of monotone variational inequality problem.

Key words: variational inequality, monotone operator, Armijolike search, extragradient method, strong convergence

中图分类号: 

  • O177.91