次梯度方法
变分不等式
李普希茨连续性
数学
希尔伯特空间
单调多边形
趋同(经济学)
强单调
算法
常量(计算机编程)
应用数学
数学优化
纯数学
计算机科学
经济增长
几何学
经济
程序设计语言
作者
Jun Yang,Hongwei Liu,Zexian Liu
出处
期刊:Optimization
[Informa]
日期:2018-09-22
卷期号:67 (12): 2247-2258
被引量:89
标识
DOI:10.1080/02331934.2018.1523404
摘要
In this paper, we introduce two new algorithms for solving classical variational inequalities problem with Lipschitz continuous and monotone mapping in real Hilbert space. We modify the subgradient extragradient methods with a new step size, the convergence of algorithms are established without the knowledge of the Lipschitz constant of the mapping. Finally, some numerical experiments are presented to show the efficiency and advantage of the proposed algorithms.
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