A regularizing trust region algorithm for nonlinear ill-posed problems

被引：4
|
作者：
Li, Gaidi
Wang, Yanfei
机构：
[1] Beijing Univ Technol, Coll Appl Sci, Beijing 100022, Peoples R China
[2] Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China
来源：
INVERSE PROBLEMS IN SCIENCE AND ENGINEERING | 2006年 / 14卷 / 08期
关键词：
regularization; trust region; ill-posed problem; super-linear convergence;
D O I：
10.1080/17415970600850785
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this article, the trust region method for the stable solution of nonlinear ill-posed problems is considered. The regularization property of the proposed trust region method is verified. In addition, the algorithm remains locally super-linear convergence. Numerical experiments show that the proposed trust region method behaves very well.
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页码：859 / 872
页数：14
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