001 | 860265 | ||
005 | 20210130000458.0 | ||
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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 |2 ORCID |
336 | 7 | _ | |a Conference Presentation |b conf |m conf |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 |
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914 | 1 | _ | |y 2019 |
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