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2020 – today
- 2024
[j4]Philip Freese
, Moritz Hauck, Tim Keil, Daniel Peterseim:
A super-localized generalized finite element method. Numerische Mathematik 156(1): 205-235 (2024)- [i12]Tim Keil, Mario Ohlberger, Felix Schindler, Julia Schleuß:
Local training and enrichment based on a residual localization strategy. CoRR abs/2404.16537 (2024) - 2023
- [j3]Tim Keil, Stephan Rave:
An Online Efficient Two-Scale Reduced Basis Approach for the Localized Orthogonal Decomposition. SIAM J. Sci. Comput. 45(4) (2023) - [c2]Tim Keil, Mario Ohlberger, Felix Schindler:
Adaptive Localized Reduced Basis Methods for Large Scale PDE-Constrained Optimization. LSSC 2023: 108-116 - [i11]Tim Keil, Mario Ohlberger, Felix Schindler:
Adaptive Localized Reduced Basis Methods for Large Scale Parameterized Systems. CoRR abs/2303.03074 (2023) - [i10]Michael Kartmann, Tim Keil, Mario Ohlberger, Stefan Volkwein, Barbara Kaltenbacher:
Adaptive Reduced Basis Trust Region Methods for Parameter Identification Problems. CoRR abs/2309.07627 (2023) - 2022
- [j2]Tim Keil, Hendrik Kleikamp, Rolf J. Lorentzen, Micheal B. Oguntola, Mario Ohlberger:
Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery. Adv. Comput. Math. 48(6): 73 (2022) - [i9]Tim Keil, Hendrik Kleikamp, Rolf J. Lorentzen, Micheal B. Oguntola, Mario Ohlberger:
Adaptive machine learning based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery. CoRR abs/2203.01674 (2022) - [i8]Tim Keil, Mario Ohlberger:
A relaxed localized trust-region reduced basis approach for optimization of multiscale problems. CoRR abs/2203.09964 (2022) - [i7]Philip Freese, Moritz Hauck, Tim Keil, Daniel Peterseim:
A Super-Localized Generalized Finite Element Method. CoRR abs/2211.09461 (2022) - [i6]Tim Keil:
Adaptive Reduced Basis Methods for Multiscale Problems and Large-scale PDE-constrained Optimization. CoRR abs/2211.09607 (2022) - 2021
- [c1]Tim Keil, Mario Ohlberger:
Model Reduction for Large Scale Systems. LSSC 2021: 16-28 - [i5]Tim Keil, Mario Ohlberger:
Model Reduction for Large Scale Systems. CoRR abs/2105.01433 (2021) - [i4]Tim Keil, Stephan Rave:
An Online Efficient Two-Scale Reduced Basis Approach for the Localized Orthogonal Decomposition. CoRR abs/2111.08643 (2021) - 2020
- [j1]Fredrik Hellman, Tim Keil, Axel Målqvist:
Numerical Upscaling of Perturbed Diffusion Problems. SIAM J. Sci. Comput. 42(4): A2014-A2036 (2020) - [i3]Tim Keil, Luca Mechelli, Mario Ohlberger, Felix Schindler, Stefan Volkwein:
A non-conforming dual approach for adaptive Trust-Region Reduced Basis approximation of PDE-constrained optimization. CoRR abs/2006.09297 (2020) - [i2]Stefan Banholzer, Tim Keil, Luca Mechelli, Mario Ohlberger, Felix Schindler, Stefan Volkwein:
An adaptive projected Newton non-conforming dual approach for trust-region reduced basis approximation of PDE-constrained parameter optimization. CoRR abs/2012.11653 (2020)
2010 – 2019
- 2019
- [i1]Fredrik Hellman, Tim Keil, Axel Målqvist:
Numerical upscaling of perturbed diffusion problems. CoRR abs/1908.00652 (2019)
Coauthor Index
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