| 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 | 37 | 2021 |
| 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 | 22 | 2020 |
| Numerical upscaling of perturbed diffusion problems F Hellman, T Keil, A Målqvist SIAM Journal on Scientific Computing 42 (4), A2014-A2036, 2020 | 17 | 2020 |
| A super-localized generalized finite element method P Freese, M Hauck, T Keil, D Peterseim Numerische Mathematik 156 (1), 205-235, 2024 | 11 | 2024 |
| 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 | 11 | 2022 |
| Gridlod F Hellman, T Keil GitHub repository. commit 0ed4c096df75040145978d48c5307ef5678efed3, 2017 | 10 | 2017 |
| 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 | 9 | 2024 |
| 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 | 5 | 2023 |
| Model reduction for large scale systems T Keil, M Ohlberger International Conference on Large-Scale Scientific Computing, 16-28, 2021 | 3 | 2021 |
| Adaptive reduced basis trust region methods for parameter identification problems M Kartmann, T Keil, M Ohlberger, S Volkwein, B Kaltenbacher Computational Science and Engineering 1 (1), 3, 2024 | 2 | 2024 |
| Adaptive Reduced Basis Methods for Multiscale Problems and Large-Scale PDE-Constrained Optimization T Keil arXiv preprint arXiv:2211.09607, 2022 | 2 | 2022 |
| Local training and enrichment based on a residual localization strategy T Keil, M Ohlberger, F Schindler, J Schleuß arXiv preprint arXiv:2404.16537, 2024 | 1 | 2024 |
| Adaptive Localized Reduced Basis Methods for Large Scale Parameterized Systems T Keil, M Ohlberger, F Schindler arXiv preprint arXiv:2303.03074, 2023 | 1 | 2023 |
| Variational crimes in the Localized orthogonal decomposition method T Keil Master's Thesis, Chalmers University of Technology, Gothenburg, Sweden, 2018 | 1 | 2018 |
| Adaptive Localized Reduced Basis Methods for Large Scale PDE-Constrained Optimization T Keil, M Ohlberger, F Schindler International Conference on Large-Scale Scientific Computing, 108-116, 2023 | | 2023 |
| Check for updates ALR Basis, T Keil, M Ohlberger, F Schindler Large-Scale Scientific Computations: 14th International Conference, LSSC …, 0 | | |
| LOCALIZED MODEL REDUCTION FOR MULTI-SCALE PDE-CONSTRAINED OPTIMIZATION T Keil, M Ohlberger, F Schindlera | | |
Mario OhlbergerProfessor for Applied Mathematics, University of Münster, GermanyVerified email at Uni-Muenster.de
