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Feischl, Michael
58  Ergebnisse:
OpenAccess-Volltexte X
Personensuche X
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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..
 
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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..
 
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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..
 
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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..
 
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5

Adaptive mesh refinement for the Landau–Lifshitz–Gilbert eq..:

Bohn, Jan ; Dörfler, Willy ; Feischl, Michael.
CRC 1173 Preprint.  , 2023
Link: https://publikationen.bi..
 
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6

Exponential convergence in H1 of hp-FEM for Gevrey regulari..:

Feischl, Michael ; Schwab, Ch
Numerische Mathematik.  , 2022
Link: https://hdl.handle.net/2..
 
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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..
 
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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...
 
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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/..
 
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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..
 
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11

FEM-BEM coupling for Maxwell–Landau–Lifshitz–Gilbert equati..:

Bohn, Jan ; Feischl, Michael ; Kovács, Balázs
CRC 1173 Preprint.  , 2020
Link: https://publikationen.bi..
 
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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..
 
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13

Recurrent neural networks as optimal mesh refinement strate..:

Bohn, Jan ; Feischl, Michael
CRC 1173 Preprint.  , 2020
Link: https://publikationen.bi..
 
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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..
 
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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...
 
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