A self-adaptive projection and contraction method for monotone symmetric linear variational inequalities

被引：7

作者：

Liao, LZ

Wang, SL

机构：

[1] Hong Kong Baptist Univ, Dept Math, Kowloon, Hong Kong, Peoples R China

[2] Nanjing Univ, Dept Math, Nanjing 210093, Peoples R China

来源：

COMPUTERS & MATHEMATICS WITH APPLICATIONS | 2002年 / 43卷 / 1-2期

基金：

中国国家自然科学基金;

关键词：

symmetric linear variational inequalities; projection and contraction method; self-adaptive rule;

D O I：

10.1016/S0898-1221(01)00269-3

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, we present a self-adaptive projection and contraction (SAPC) method for solving symmetric linear variational inequalities. Preliminary numerical tests show that the proposed method is efficient and effective and depends only slightly on its initial parameter. The global convergence of the new method is also addressed. (C) 2001 Elsevier Science Ltd. All rights reserved.

引用

页码：41 / 48

页数：8

共 13 条

[1]

Cottle R.W., 1980, Variational Inequalities and Complementarity Problems: Theory and Applications

[2] AN ITERATIVE SCHEME FOR VARIATIONAL-INEQUALITIES [J].