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005     20210129225044.0
037 _ _ |a FZJ-2016-07076
041 _ _ |a English
100 1 _ |a Kleefeld, Andreas
|0 P:(DE-Juel1)169421
|b 0
|e Corresponding author
|u fzj
111 2 _ |a The third international conference on computational science and engineering
|g ICCSE-3
|c Ho Chi Minh City
|d 2016-11-28 - 2016-11-30
|w Vietnam
245 _ _ |a Interior transmission eigenvalues and non-destructive testing
260 _ _ |c 2016
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a INPROCEEDINGS
|2 BibTeX
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336 7 _ |a LECTURE_SPEECH
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336 7 _ |a Conference Presentation
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|s 1480931255_8032
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|x Invited
520 _ _ |a The aim in non-destructive testing is to visualize the interior of a given three-dimensional object in order to uncover location, size, and geometry of inhomogeneities. Interior transmission eigenvalues can be used for this purpose. However, the efficient numerical calculation of interior transmission eigenvalues is a challenging task due to the fact that the corresponding interior transmission problem is neither elliptic nor self-adjoint. It is explained what interior transmission eigenvalues are, how they can be computed to high accuracy with the help of boundary integral equations (see [1-3]), and how they might be used to visualize the interior of a given three-dimensional object. Additionally, some open problems both from the theoretical and practical point of view are illustrated.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
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|c POF3-511
|f POF III
|x 0
909 C O |o oai:juser.fz-juelich.de:824500
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910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
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913 1 _ |a DE-HGF
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|v Computational Science and Mathematical Methods
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|4 G:(DE-HGF)POF
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|l Supercomputing & Big Data
914 1 _ |y 2016
915 _ _ |a No Authors Fulltext
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920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
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|l Jülich Supercomputing Center
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980 _ _ |a conf
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)JSC-20090406


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