Regularization matrices for discrete ill‐posed problems in several space dimensions-Reference-Cited by-同舟云学术

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Regularization matrices for discrete ill‐posed problems in several space dimensions

Published:2018-03-15 Issue:4 Volume:25 Page:
ISSN:1070-5325
Container-title:Numerical Linear Algebra with Applications
language:en
Short-container-title:Numer Linear Algebra Appl

Author:

Dykes Laura¹,Huang Guangxin²^ORCID,Noschese Silvia³,Reichel Lothar⁴^ORCID

Affiliation:

1. University School Hunting Valley OH 44022 USA

2. Geomathematics Key Laboratory of Sichuan, Department of Information and Computing Science Chengdu University of Technology Chengdu 610059 China

3. Department of Mathematics SAPIENZA Università di Roma P.le A. Moro, 2 Roma I‐00185 Italy

4. Department of Mathematical Sciences Kent State University Kent OH 44242 USA

Funder

National Science Foundation

Publisher

Wiley

Subject

Applied Mathematics,Algebra and Number Theory

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nla.2163

Reference28 articles.

1. Extrapolation techniques for ill-conditioned linear systems

2. Regularization of Inverse Problems

3. Rank-Deficient and Discrete Ill-Posed Problems

4. Invertible smoothing preconditioners for linear discrete ill-posed problems

5. Square regularization matrices for large linear discrete ill-posed problems

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3. A Majorization-Minimization Golub-Kahan bidiagonalization method for <inline-formula><tex-math id="M1">$ \ell_{2}-\ell_{q} $</tex-math></inline-formula> mimimization with applications in image restorization;Inverse Problems and Imaging;2023

4. Multi-temporal InSAR tropospheric delay modelling using Tikhonov regularization for Sentinel-1 C-band data;ISPRS Open Journal of Photogrammetry and Remote Sensing;2022-12

5. Application of fractional derivatives for obtaining new Tikhonov regularization matrices;Journal of Applied Mathematics and Computing;2022-09-24

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