A new nonstationary preconditioned iterative method for linear discrete ill‐posed problems with application to image deblurring-Reference-Cited by-同舟云学术

A new nonstationary preconditioned iterative method for linear discrete ill‐posed problems with application to image deblurring

Published:2020-12-03 Issue:2 Volume:28 Page:
ISSN:1070-5325
Container-title:Numerical Linear Algebra with Applications
language:en
Short-container-title:Numer Linear Algebra Appl

Author:

Buccini Alessandro¹^ORCID,Donatelli Marco²,Reichel Lothar³^ORCID,Zhang Wei‐Hong⁴

Affiliation:

1. Department of Mathematics and Computer Sciences University of Cagliari Cagliari Italy

2. Department of Science and High Technology University of Insubria Como Italy

3. Department of Mathematical Sciences Kent State University Kent Ohio USA

4. School of Mathematics and Statistics Lanzhou University Lanzhou P.R. China

Funder

China Scholarship Council

National Science Foundation

Regione Autonoma della Sardegna

Publisher

Wiley

Subject

Applied Mathematics,Algebra and Number Theory

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nla.2353

Reference27 articles.

1. Regularization of Inverse Problems

2. Rank-Deficient and Discrete Ill-Posed Problems

3. GCV for Tikhonov regularization via global Golub–Kahan decomposition

4. Convergence analysis of minimization‐based noise level‐free parameter choice rules for linear ill‐posed problems;Kindermann S;Electron Trans Numer Anal,2011

5. A simplified L-curve method as error estimator

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1. Theoretical and numerical aspects of a non-stationary preconditioned iterative method for linear discrete ill-posed problems;Journal of Computational and Applied Mathematics;2023-05

2. An Arnoldi-based preconditioner for iterated Tikhonov regularization;Numerical Algorithms;2022-10-19