Hauptseite > Publikationsdatenbank > Direct sampling method via Landweber iteration for an absorbing scatterer with a conductive boundary > print |
001 | 1018740 | ||
005 | 20250204113740.0 | ||
024 | 7 | _ | |a 10.3934/ipi.2023051 |2 doi |
024 | 7 | _ | |a 1930-8337 |2 ISSN |
024 | 7 | _ | |a 1930-8345 |2 ISSN |
024 | 7 | _ | |a 10.34734/FZJ-2023-05021 |2 datacite_doi |
024 | 7 | _ | |a WOS:001115861700001 |2 WOS |
037 | _ | _ | |a FZJ-2023-05021 |
041 | _ | _ | |a English |
082 | _ | _ | |a 510 |
100 | 1 | _ | |a Ayala, Rafael Ceja |0 P:(DE-HGF)0 |b 0 |
245 | _ | _ | |a Direct sampling method via Landweber iteration for an absorbing scatterer with a conductive boundary |
260 | _ | _ | |a Springfield, Mo. |c 2024 |b AIMS |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1714976676_4419 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a In this paper, we consider the inverse shape problem of recovering isotropic scatterers with a conductive boundary condition. Here, we assume that the measured far-field data is known at a fixed wave number. Motivated by recent work, we study a new direct sampling indicator based on the Landweber iteration and the factorization method. Therefore, we prove the connection between these reconstruction methods. The method studied here falls under the category of qualitative reconstruction methods where an imaging function is used to recover the absorbing scatterer. We prove stability of our new imaging function as well as derive a discrepancy principle for recovering the regularization parameter. The theoretical results are verified with numerical examples to show how the reconstruction performs by the new Landweber direct sampling method. |
536 | _ | _ | |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5112 |c POF4-511 |f POF IV |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
700 | 1 | _ | |a Harris, Isaac |0 P:(DE-HGF)0 |b 1 |e Corresponding author |
700 | 1 | _ | |a Kleefeld, Andreas |0 P:(DE-Juel1)169421 |b 2 |u fzj |
773 | _ | _ | |a 10.3934/ipi.2023051 |g Vol. 0, no. 0, p. 0 - 0 |0 PERI:(DE-600)2304184-5 |n 3 |p 708-729 |t Inverse problems and imaging |v 18 |y 2024 |x 1930-8337 |
856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/1018740/files/DSM-absorbing-CBC-Submit.pdf |
856 | 4 | _ | |y OpenAccess |x icon |u https://juser.fz-juelich.de/record/1018740/files/DSM-absorbing-CBC-Submit.gif?subformat=icon |
856 | 4 | _ | |y OpenAccess |x icon-1440 |u https://juser.fz-juelich.de/record/1018740/files/DSM-absorbing-CBC-Submit.jpg?subformat=icon-1440 |
856 | 4 | _ | |y OpenAccess |x icon-180 |u https://juser.fz-juelich.de/record/1018740/files/DSM-absorbing-CBC-Submit.jpg?subformat=icon-180 |
856 | 4 | _ | |y OpenAccess |x icon-640 |u https://juser.fz-juelich.de/record/1018740/files/DSM-absorbing-CBC-Submit.jpg?subformat=icon-640 |
909 | C | O | |o oai:juser.fz-juelich.de:1018740 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
910 | 1 | _ | |a Purdue University |0 I:(DE-HGF)0 |b 0 |6 P:(DE-HGF)0 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)169421 |
913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5112 |x 0 |
914 | 1 | _ | |y 2024 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2023-08-22 |
915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2023-08-22 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2024-12-18 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2024-12-18 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2024-12-18 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1150 |2 StatID |b Current Contents - Physical, Chemical and Earth Sciences |d 2024-12-18 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2024-12-18 |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b INVERSE PROBL IMAG : 2022 |d 2024-12-18 |
915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |d 2024-12-18 |
920 | _ | _ | |l no |
920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a UNRESTRICTED |
980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
980 | 1 | _ | |a FullTexts |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|