001     860265
005     20210130000458.0
024 7 _ |a 2128/21516
|2 Handle
037 _ _ |a FZJ-2019-01040
041 _ _ |a English
100 1 _ |a Kleefeld, Andreas
|0 P:(DE-Juel1)169421
|b 0
|e Corresponding author
|u fzj
111 2 _ |a Workshop Data Science
|c Jülich
|d 2019-01-30 - 2019-01-30
|w Germany
245 _ _ |a A path to process general matrix fields
260 _ _ |c 2019
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a LECTURE_SPEECH
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336 7 _ |a Conference Presentation
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|0 PUB:(DE-HGF)6
|s 1548946777_25674
|2 PUB:(DE-HGF)
|x Invited
502 _ _ |c FH Aachen, Campus Jülich
520 _ _ |a A general framework is presented that allows for transferring data-processing algorithms for scalar to arbitrary matrix fields. That means to find analogues for fundamental operations such as linear combinations and maximum/minimum in this setting. Furthermore, we aim to process fields consisting of certain subsets such as the symmetric, skew-symmetric, Hermitian, and the general and orthogonal group.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
|0 G:(DE-HGF)POF3-511
|c POF3-511
|f POF III
|x 0
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/860265/files/Slides.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://juser.fz-juelich.de/record/860265/files/Slides.pdf?subformat=pdfa
909 C O |o oai:juser.fz-juelich.de:860265
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910 1 _ |a Forschungszentrum Jülich
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|6 P:(DE-Juel1)169421
913 1 _ |a DE-HGF
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|2 G:(DE-HGF)POF3-500
|v Computational Science and Mathematical Methods
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|l Supercomputing & Big Data
914 1 _ |y 2019
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
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920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
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980 _ _ |a conf
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 1 _ |a FullTexts


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