Folgen
Tim Keil
Tim Keil
Postdoc, University of Münster
Bestätigte E-Mail-Adresse bei wwu.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A non-conforming dual approach for adaptive trust-region reduced basis approximation of PDE-constrained parameter optimization
T Keil, L Mechelli, M Ohlberger, F Schindler, S Volkwein
ESAIM: Mathematical Modelling and Numerical Analysis 55 (3), 1239-1269, 2021
272021
An adaptive projected Newton non-conforming dual approach for trust-region reduced basis approximation of PDE-constrained parameter optimization
S Banholzer, T Keil, L Mechelli, M Ohlberger, F Schindler, S Volkwein
arXiv preprint arXiv:2012.11653, 2020
182020
Numerical upscaling of perturbed diffusion problems
F Hellman, T Keil, A Målqvist
SIAM Journal on Scientific Computing 42 (4), A2014-A2036, 2020
162020
Gridlod
F Hellman, T Keil
GitHub repository. commit 0ed4c096df75040145978d48c5307ef5678efed3, 2017
102017
Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery
T Keil, H Kleikamp, RJ Lorentzen, MB Oguntola, M Ohlberger
Advances in Computational Mathematics 48 (6), 73, 2022
72022
A super-localized generalized finite element method
P Freese, M Hauck, T Keil, D Peterseim
Numerische Mathematik 156 (1), 205-235, 2024
52024
A relaxed localized trust-region reduced basis approach for optimization of multiscale problems
T Keil, M Ohlberger
ESAIM: Mathematical Modelling and Numerical Analysis 58 (1), 79-105, 2024
52024
An online efficient two-scale reduced basis approach for the localized orthogonal decomposition
T Keil, S Rave
SIAM Journal on Scientific Computing 45 (4), A1491-A1518, 2023
52023
Model reduction for large scale systems
T Keil, M Ohlberger
International Conference on Large-Scale Scientific Computing, 16-28, 2021
32021
Local training and enrichment based on a residual localization strategy
T Keil, M Ohlberger, F Schindler, J Schleuß
arXiv preprint arXiv:2404.16537, 2024
12024
Adaptive Reduced Basis Trust Region Methods for Parameter Identification Problems
M Kartmann, T Keil, M Ohlberger, S Volkwein, B Kaltenbacher
arXiv preprint arXiv:2309.07627, 2023
12023
Adaptive Localized Reduced Basis Methods for Large Scale Parameterized Systems
T Keil, M Ohlberger, F Schindler
arXiv preprint arXiv:2303.03074, 2023
12023
Adaptive Reduced Basis Methods for Multiscale Problems and Large-Scale PDE-Constrained Optimization
T Keil
arXiv preprint arXiv:2211.09607, 2022
12022
Variational crimes in the Localized orthogonal decomposition method
T Keil
Master's Thesis, Chalmers University of Technology, Gothenburg, Sweden, 2018
12018
LOCALIZED MODEL REDUCTION FOR MULTI-SCALE PDE-CONSTRAINED OPTIMIZATION
T Keil, M Ohlberger, F Schindlera
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–15