HYBRID ITERATIVE TECHNIQUES APPROACH TO A MINIMIZATION PROBLEM

被引：0
|
作者：
Zheng, Lu [1 ]
Yin, Tzu-Chien [2 ]
机构：
[1] School of Business, Trinity Western University, Vancouver,V2Y 1Y1, Canada
[2] Research Center for Interneural Computing, China Medical University Hospital, China Medical University, Taichung,40402, Taiwan
来源：
UPB Scientific Bulletin, Series A: Applied Mathematics and Physics | 2022年 / 84卷 / 02期
关键词：
Condition - Convergence results - Convex minimization - Gradient projection methods - Gradient projections - Hybrid method - Iterative technique - Minimization problems - Strong convergence;
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学科分类号：
摘要：
This paper is to investigate iterative techniques for solving a constrained convex minimization problem in Hilbert spaces. We propose a hybrid gradient projection method for solving this constrained convex minimization problem. Strong convergence result is obtained under some additional conditions. © 2022, Politechnica University of Bucharest. All rights reserved.
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页码：13 / 22
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