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Feischl, Michael
58
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1
Sparse grid approximation of the stochastic Landau-Lifshitz..:
An, Xin
;
Dick, Josef
;
Feischl, Michael
..
http://arxiv.org/abs/2310.11225. , 2023
Link:
http://arxiv.org/abs/231..
?
2
On full linear convergence and optimal complexity of adapti..:
Bringmann, Philipp
;
Feischl, Michael
;
Miraci, Ani
..
http://arxiv.org/abs/2311.15738. , 2023
Link:
http://arxiv.org/abs/231..
?
3
Adaptive Image Compression via Optimal Mesh Refinement:
Feischl, Michael
;
Hackl, Hubert
http://arxiv.org/abs/2304.01640. , 2023
Link:
http://arxiv.org/abs/230..
?
4
Adaptive mesh refinement for the Landau-Lifshitz-Gilbert eq..:
Bohn, Jan
;
Dörfler, Willy
;
Feischl, Michael
.
http://arxiv.org/abs/2303.07463. , 2023
Link:
http://arxiv.org/abs/230..
?
5
Adaptive mesh refinement for the Landau–Lifshitz–Gilbert eq..:
Bohn, Jan
;
Dörfler, Willy
;
Feischl, Michael
.
CRC 1173 Preprint. , 2023
Link:
https://publikationen.bi..
?
6
Exponential convergence in H1 of hp-FEM for Gevrey regulari..:
Feischl, Michael
;
Schwab, Ch
Numerische Mathematik. , 2022
Link:
https://hdl.handle.net/2..
?
7
FEM-BEM Coupling for the Maxwell–Landau–Lifshitz–Gilbert Eq..:
Bohn, Jan
;
Feischl, Michael
;
Kovács, Balázs
info:eu-repo/semantics/altIdentifier/wos/000863932200001. , 2022
Link:
https://publikationen.bi..
?
8
Low-entry-barrier point-of-care testing of anti-SARS-CoV-2 ..:
Doppler, Christian
;
Feischl, Michael
;
Ganhör, Clara
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8885117/. , 2022
Link:
http://www.ncbi.nlm.nih...
?
9
Analytical and Bioanalytical Chemistry / Low-entry-barrier ..:
Wechselberger, Christian
;
Doppler, Christian
;
Feischl, Michael
...
vignette : https://epub.jku.at/titlepage/urn/urn:nbn:at:at-ubl:3-11135/128. , 2022
Link:
https://doi.org/10.1007/..
?
10
Recurrent neural networks as optimal mesh refinement strate..:
Bohn, Jan
;
Feischl, Michael
info:eu-repo/semantics/altIdentifier/wos/000688408400005. , 2021
Link:
https://publikationen.bi..
?
11
FEM-BEM coupling for Maxwell–Landau–Lifshitz–Gilbert equati..:
Bohn, Jan
;
Feischl, Michael
;
Kovács, Balázs
CRC 1173 Preprint. , 2020
Link:
https://publikationen.bi..
?
12
Convergence of adaptive stochastic collocation with finite ..:
Feischl, Michael
;
Scaglioni, Andrea
http://arxiv.org/abs/2008.12591. , 2020
Link:
http://arxiv.org/abs/200..
?
13
Recurrent neural networks as optimal mesh refinement strate..:
Bohn, Jan
;
Feischl, Michael
CRC 1173 Preprint. , 2020
Link:
https://publikationen.bi..
?
14
A quasi-Monte Carlo data compression algorithm for machine ..:
Dick, Josef
;
Feischl, Michael
http://arxiv.org/abs/2004.02491. , 2020
Link:
http://arxiv.org/abs/200..
?
15
Sparse compression of expected solution operators:
Feischl, Michael
;
Peterseim, Daniel
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/83360. , 2020
Link:
https://opus.bibliothek...
1-15