Tim Keil

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Constrained Optimization

Lagrange Multipliers

Top Venues

SIAM J. Sci. Comput.

Numerische Mathematik

Publications

Philip Freese, Moritz Hauck, Tim Keil, Daniel Peterseim
A super-localized generalized finite element method. Numerische Mathematik 156 (1) (2024)
Tim Keil, Mario Ohlberger, Felix Schindler, Julia Schleuß
Local training and enrichment based on a residual localization strategy. CoRR (2024)
Tim Keil, Mario Ohlberger, Felix Schindler
Adaptive Localized Reduced Basis Methods for Large Scale Parameterized Systems. CoRR (2023)
Tim Keil, Stephan Rave
An Online Efficient Two-Scale Reduced Basis Approach for the Localized Orthogonal Decomposition. SIAM J. Sci. Comput. 45 (4) (2023)
Michael Kartmann, Tim Keil, Mario Ohlberger, Stefan Volkwein, Barbara Kaltenbacher
Adaptive Reduced Basis Trust Region Methods for Parameter Identification Problems. CoRR (2023)
Tim Keil, Mario Ohlberger, Felix Schindler
Adaptive Localized Reduced Basis Methods for Large Scale PDE-Constrained Optimization. LSSC (2023)
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) (2022)
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 (2022)
Philip Freese, Moritz Hauck, Tim Keil, Daniel Peterseim
A Super-Localized Generalized Finite Element Method. CoRR (2022)
Tim Keil, Mario Ohlberger
A relaxed localized trust-region reduced basis approach for optimization of multiscale problems. CoRR (2022)
Tim Keil
Adaptive Reduced Basis Methods for Multiscale Problems and Large-scale PDE-constrained Optimization. CoRR (2022)
Tim Keil, Stephan Rave
An Online Efficient Two-Scale Reduced Basis Approach for the Localized Orthogonal Decomposition. CoRR (2021)
Tim Keil, Mario Ohlberger
Model Reduction for Large Scale Systems. LSSC (2021)
Tim Keil, Mario Ohlberger
Model Reduction for Large Scale Systems. CoRR (2021)
Fredrik Hellman, Tim Keil, Axel Målqvist
Numerical Upscaling of Perturbed Diffusion Problems. SIAM J. Sci. Comput. 42 (4) (2020)
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 (2020)
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 (2020)
Fredrik Hellman, Tim Keil, Axel Målqvist
Numerical upscaling of perturbed diffusion problems. CoRR (2019)