A Mixed Regularization Method for Ill-Posed Problems
Zheng, Hui1,2; Zhang, Wensheng2,3
刊名NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS
2019-02-01
卷号12期号:1页码:212-232
关键词Ill-posedness continuous regularization iterative regularization mixed regularization optimal order
ISSN号1004-8979
DOI10.4208/nmtma.OA-2017-0079
英文摘要In this paper we propose a mixed regularization method for ill-posed problems. This method combines iterative regularization methods and continuous regularization methods effectively. First it applies iterative regularization methods in which there is no continuous regularization parameter to solve the normal equation of the ill-posed problem. Then continuous regularization methods are applied to solve its residual problem. The presented mixed regularization algorithm is a general framework. Any iterative regularization method and continuous regularization method can be combined together to construct a mixed regularization method. Our theoretical analysis shows that the new mixed regularization method is with optimal order of error estimation and can reach the optimal order under a much wider range of the regularization parameter than the continuous regularization method such as Tikhobov regularization. Moreover, the new mixed regularization method can reduce the sensitivity of the regularization parameter and improve the solution of continuous regularization methods or iterative regularization methods. This advantage is helpful when the optimal regularization parameter is hard to choose. The numerical computations illustrate the effectiveness of our new mixed regularization method.
资助项目National Natural Science Foundation of China[11471328] ; National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences
WOS研究方向Mathematics
语种英语
出版者GLOBAL SCIENCE PRESS
WOS记录号WOS:000444827500010
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/31237]  
专题计算数学与科学工程计算研究所
通讯作者Zhang, Wensheng
作者单位1.Huazhong Univ Sci & Technol, Sch Math & Stat, Wuhan 430074, Hubei, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, LSEC, ICMSEC, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Zheng, Hui,Zhang, Wensheng. A Mixed Regularization Method for Ill-Posed Problems[J]. NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS,2019,12(1):212-232.
APA Zheng, Hui,&Zhang, Wensheng.(2019).A Mixed Regularization Method for Ill-Posed Problems.NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS,12(1),212-232.
MLA Zheng, Hui,et al."A Mixed Regularization Method for Ill-Posed Problems".NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS 12.1(2019):212-232.
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