Error bounds for strongly monotone and Lipschitz continuous variational inequalities

被引：0

作者：

Khanh Duy Pham

Nhut Minh Bui

机构：

[1] Ton Duc Thang University,Division of Computational Mathematics and Engineering, Institute for Computational Science

[2] Ton Duc Thang University,Faculty of Mathematics and Statistics

[3] University of British Columbia,Department of Mathematics

来源：

Optimization Letters | 2018年 / 12卷

关键词：

Variational inequality; Strong monotonicity; Lipschitz continuity; Calmness; Lower error bound; Upper error bound; Univariate case;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Our aim is to establish lower and upper error bounds for strongly monotone variational inequalities satisfying the Lipschitz continuity. In univariate case, the latter is not needed for getting an upper error bound and a lower error bound is proved by solely using the Lipschitz continuity.

引用

页码：971 / 984

页数：13

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