Refinements of some convergence results of the gradient-projection algorithm

被引：0
|
作者：
Xu, Hong-kun [1 ]
机构：
[1] Hangzhou Dianzi Univ, Sch Sci, Hangzhou 310018, Peoples R China
来源：
ANNALS OF MATHEMATICAL SCIENCES AND APPLICATIONS | 2023年 / 8卷 / 02期
关键词：
Gradient-projection; fixed point algorithm; averaged mapping; viscosity approximation method; VISCOSITY APPROXIMATION METHODS; FIXED-POINTS; NONEXPANSIVE-MAPPINGS; WEAK-CONVERGENCE; THEOREMS;
D O I：
暂无
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this note we refine some of the results of [18] on the gradient -projection algorithm in the infinite-dimensional Hilbert space set-ting by weakening the conditions imposed on the choices of the parameters in [18, Theorems 4.2, 4.3 and 5.2]. In addition, we also show that the relaxed gradient-projection algorithm has a sublin-ear rate of convergence.
引用
收藏
页码：347 / 363
页数：17
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