A numerical solution of the dynamic vector tomography problem using the truncated singular value decomposition method Full article
Journal |
Journal of Inverse and Ill-Posed Problems
ISSN: 0928-0219 , E-ISSN: 1569-3945 |
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Output data | Year: 2024, Volume: 32, Number: 1, DOI: 10.1515/jiip-2022-0019 | ||
Tags | Dynamic vector tomography; longitudinal ray transform; orthogonal polynomial; singular value decomposition; transverse ray transform | ||
Authors |
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Affiliations |
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Funding (2)
1 | Sobolev Institute of Mathematics | FWNF-2022-0009 |
2 | Russian Foundation for Basic Research | 19-51-12008 |
Cite:
Polyakova A.P.
, Svetov I.E.
A numerical solution of the dynamic vector tomography problem using the truncated singular value decomposition method
Journal of Inverse and Ill-Posed Problems. 2024. V.32. N1. DOI: 10.1515/jiip-2022-0019 WOS Scopus РИНЦ
A numerical solution of the dynamic vector tomography problem using the truncated singular value decomposition method
Journal of Inverse and Ill-Posed Problems. 2024. V.32. N1. DOI: 10.1515/jiip-2022-0019 WOS Scopus РИНЦ
Dates:
Published online: | Oct 25, 2022 |
Identifiers:
Web of science | WOS:000871634700001 |
Scopus | 2-s2.0-85141132489 |
Elibrary | 57963790 |
OpenAlex | W4307282813 |