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000860265 037__ $$aFZJ-2019-01040
000860265 041__ $$aEnglish
000860265 1001_ $$0P:(DE-Juel1)169421$$aKleefeld, Andreas$$b0$$eCorresponding author$$ufzj
000860265 1112_ $$aWorkshop Data Science$$cJülich$$d2019-01-30 - 2019-01-30$$wGermany
000860265 245__ $$aA path to process general matrix fields
000860265 260__ $$c2019
000860265 3367_ $$033$$2EndNote$$aConference Paper
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000860265 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1548946777_25674$$xInvited
000860265 502__ $$cFH Aachen, Campus Jülich
000860265 520__ $$aA general framework is presented that allows for transferring data-processing algorithms for scalar to arbitrary matrix fields. That means to find analogues for fundamental operations such as linear combinations and maximum/minimum in this setting. Furthermore, we aim to process fields consisting of certain subsets such as the symmetric, skew-symmetric, Hermitian, and the general and orthogonal group.
000860265 536__ $$0G:(DE-HGF)POF3-511$$a511 - Computational Science and Mathematical Methods (POF3-511)$$cPOF3-511$$fPOF III$$x0
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