001     885910
005     20220930130256.0
020 _ _ |a 978-3-95806-504-8
024 7 _ |2 Handle
|a 2128/26000
024 7 _ |2 URN
|a urn:nbn:de:0001-2020103015
024 7 _ |2 ISSN
|a 1868-8489
037 _ _ |a FZJ-2020-04174
041 _ _ |a English
100 1 _ |0 P:(DE-Juel1)168537
|a Pieronek, Lukas Julian
|b 0
|e Corresponding author
|g male
|u fzj
245 _ _ |a The method of fundamental solutions for computing interior transmission eigenvalues
|f - 2020-08-21
260 _ _ |a Jülich
|b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
|c 2020
300 _ _ |a 115 S.
336 7 _ |2 DataCite
|a Output Types/Dissertation
336 7 _ |0 PUB:(DE-HGF)3
|2 PUB:(DE-HGF)
|a Book
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336 7 _ |2 ORCID
|a DISSERTATION
336 7 _ |2 BibTeX
|a PHDTHESIS
336 7 _ |0 2
|2 EndNote
|a Thesis
336 7 _ |0 PUB:(DE-HGF)11
|2 PUB:(DE-HGF)
|a Dissertation / PhD Thesis
|b phd
|m phd
|s 1603984610_12494
336 7 _ |2 DRIVER
|a doctoralThesis
490 0 _ |a Schriften des Forschungszentrums Jülich. IAS Series
|v 44
502 _ _ |a BTU Cottbus-Senftenberg, Diss., 2020
|b Dr.
|c BTU Cottbus-Senftenberg
|d 2020
520 _ _ |a This thesis deals with a novel approach for analyzing and computing interior transmission eigenvalues of (piecewise) homogeneous media in two dimensions. It is based on approximating boundary data of respective eigenfunctions by the method of fundamental solutions. However, since a straightforward implementation would solely exploit ill-conditioned matrices and thus evoke spurious results, a stabilization scheme is incorporated. The combined method is then studied with a distinction between isotropic and anisotropic materials, and complemented by novel approximation theory each. Numerical validations complete the investigations for different wave type scenarios.
536 _ _ |0 G:(DE-HGF)POF3-511
|a 511 - Computational Science and Mathematical Methods (POF3-511)
|c POF3-511
|f POF III
|x 0
536 _ _ |0 G:(DE-Juel1)PHD-NO-GRANT-20170405
|a PhD no Grant - Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405)
|c PHD-NO-GRANT-20170405
|x 1
856 4 _ |u https://juser.fz-juelich.de/record/885910/files/IAS_Series_44.pdf
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/885910/files/IAS_Series_44.pdf?subformat=pdfa
|x pdfa
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:885910
|p openaire
|p open_access
|p urn
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910 1 _ |0 I:(DE-588b)5008462-8
|6 P:(DE-Juel1)168537
|a Forschungszentrum Jülich
|b 0
|k FZJ
913 1 _ |0 G:(DE-HGF)POF3-511
|1 G:(DE-HGF)POF3-510
|2 G:(DE-HGF)POF3-500
|3 G:(DE-HGF)POF3
|4 G:(DE-HGF)POF
|a DE-HGF
|b Key Technologies
|l Supercomputing & Big Data
|v Computational Science and Mathematical Methods
|x 0
914 1 _ |y 2020
915 _ _ |0 StatID:(DE-HGF)0510
|2 StatID
|a OpenAccess
915 _ _ |0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
|a Creative Commons Attribution CC BY 4.0
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a phd
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a book
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 1 _ |a FullTexts


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