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Seelinger, Linus
32  Ergebnisse:
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1

Scalable multiscale-spectral GFEM with an application to co..:

Bénézech, Jean ; Seelinger, Linus ; Bastian, Peter...
Journal of Computational Physics.  508 (2024)  - p. 113013 , 2024
Link: https://doi.org/10.1016/..
 
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2

Modeling and Quantifying Parameter Uncertainty of Co‐Seismi..:

Niu, Zihua ; Gabriel, Alice‐Agnes ; Seelinger, Linus.
Journal of Geophysical Research: Solid Earth.  129 (2024)  1 - p. , 2024
Link: https://doi.org/10.1029/..
 
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3

UM-Bridge: Uncertainty quantification and modelingbridge:

Seelinger, Linus ; Cheng-Seelinger, Vivian ; Davis, Andrew..
Journal of Open Source Software.  8 (2023)  83 - p. 4748 , 2023
Link: https://doi.org/10.21105..
 
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4

Multilevel Spectral Domain Decomposition:

Bastian, Peter ; Scheichl, Robert ; Seelinger, Linus.
SIAM Journal on Scientific Computing.  45 (2022)  3 - p. S1-S26 , 2022
Link: https://doi.org/10.1137/..
 
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5

High performance uncertainty quantification with paralleliz..:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
Seelinger, Linus ; Reinarz, Anne ; Rannabauer, Leonhard... - p. 1-15 , 2021
Link: https://dl.acm.org/doi/1..
 
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6

High Performance Uncertainty Quantification with Paralleliz..:

, In: SC21: International Conference for High Performance Computing, Networking, Storage and Analysis,
Seelinger, Linus ; Reinarz, Anne ; Rannabauer, Leonhard... - p. 1-13 , 2021
Link: https://doi.org/10.1145/..
 
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7

MUQ: The MIT Uncertainty Quantification Library:

Parno, Matthew ; Davis, Andrew ; Seelinger, Linus
Journal of Open Source Software.  6 (2021)  68 - p. 3076 , 2021
Link: https://doi.org/10.21105..
 
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8

A High-Performance Implementation of a Robust Preconditione..:

, In: Parallel Processing and Applied Mathematics; Lecture Notes in Computer Science,
Seelinger, Linus ; Reinarz, Anne ; Scheichl, Robert - p. 117-128 , 2020
Link: https://doi.org/10.1007/..
 
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9

Dune-composites – A new framework for high-performance fini..:

Reinarz, Anne ; Dodwell, Tim ; Fletcher, Tim...
Composite Structures.  184 (2018)  - p. 269-278 , 2018
Link: https://doi.org/10.1016/..
 
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10

UM-Bridge: Uncertainty Quantification and Modeling Bridge:

Seelinger, Linus ; Cheng-Seelinger, Vivian ; Davis, Andrew..
doi:10.5281/zenodo.7743818.  , 2023
Link: https://zenodo.org/recor..
 
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11

Lowering the Entry Bar to HPC-Scale Uncertainty Quantificat..:

Seelinger, Linus ; Reinarz, Anne ; Benezech, Jean...
http://arxiv.org/abs/2304.14087.  , 2023
Link: http://arxiv.org/abs/230..
 
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12

Modeling and Quantifying Parameter Uncertainty of Co-seismi..:

Niu, Zihua ; Gabriel, Alice-Agnes ; Seelinger, Linus.
http://arxiv.org/abs/2306.04197.  , 2023
Link: http://arxiv.org/abs/230..
 
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13

Parallel uncertainty quantification with fused simulations:

Wolf, Sebastian ; Seelinger, Linus ; Bader, Michael
info:eu-repo/grantAgreement/EC/H2020/The research leading to these results has received funding from Horizon Europe (grant No. 101093038) and BMBF (Fkz. 16HPC080K) via project ChEESE-2P..  , 2023
Link: https://mediatum.ub.tum...
 
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14

Multiscale Methods for High Performance Uncertainty Quantif..:

Seelinger, Linus
https://archiv.ub.uni-heidelberg.de/volltextserver/31044/1/thesis_color.pdf.  , 2022
Link: https://archiv.ub.uni-he..
 
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15

Scalable multiscale-spectral GFEM with an application to co..:

Bénézech, Jean ; Seelinger, Linus ; Bastian, Peter...
http://arxiv.org/abs/2211.13893.  , 2022
Link: http://arxiv.org/abs/221..
 
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