Tim Keil - RankMe

18 papers Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A super-localized generalized finite element method. Numerische Mathematik Philip Freese, Moritz Hauck, Tim Keil, Daniel Peterseim
2024	J	`jnl`	Local training and enrichment based on a residual localization strategy. CoRR Tim Keil, Mario Ohlberger, Felix Schindler, Julia Schleuß
2023	—	`conf`	Adaptive Localized Reduced Basis Methods for Large Scale PDE-Constrained Optimization. LSSC Tim Keil, Mario Ohlberger, Felix Schindler
2023	J	`jnl`	Adaptive Localized Reduced Basis Methods for Large Scale Parameterized Systems. CoRR Tim Keil, Mario Ohlberger, Felix Schindler
2023	J	`jnl`	Adaptive Reduced Basis Trust Region Methods for Parameter Identification Problems. CoRR Michael Kartmann, Tim Keil, Mario Ohlberger, Stefan Volkwein, Barbara Kaltenbacher
2023	J	`jnl`	An Online Efficient Two-Scale Reduced Basis Approach for the Localized Orthogonal Decomposition. SIAM J. Sci. Comput. Tim Keil, Stephan Rave
2022	J	`jnl`	A Super-Localized Generalized Finite Element Method. CoRR Philip Freese, Moritz Hauck, Tim Keil, Daniel Peterseim
2022	J	`jnl`	A relaxed localized trust-region reduced basis approach for optimization of multiscale problems. CoRR Tim Keil, Mario Ohlberger
2022	J	`jnl`	Adaptive Reduced Basis Methods for Multiscale Problems and Large-scale PDE-constrained Optimization. CoRR Tim Keil
2022	J	`jnl`	Adaptive machine learning based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery. CoRR Tim Keil, Hendrik Kleikamp, Rolf J. Lorentzen, Micheal B. Oguntola, Mario Ohlberger
2022	J	`jnl`	Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery. Adv. Comput. Math. Tim Keil, Hendrik Kleikamp, Rolf J. Lorentzen, Micheal B. Oguntola, Mario Ohlberger
2021	J	`jnl`	An Online Efficient Two-Scale Reduced Basis Approach for the Localized Orthogonal Decomposition. CoRR Tim Keil, Stephan Rave
2021	—	`conf`	Model Reduction for Large Scale Systems. LSSC Tim Keil, Mario Ohlberger
2021	J	`jnl`	Model Reduction for Large Scale Systems. CoRR Tim Keil, Mario Ohlberger
2020	J	`jnl`	A non-conforming dual approach for adaptive Trust-Region Reduced Basis approximation of PDE-constrained optimization. CoRR Tim Keil, Luca Mechelli, Mario Ohlberger, Felix Schindler, Stefan Volkwein
2020	J	`jnl`	An adaptive projected Newton non-conforming dual approach for trust-region reduced basis approximation of PDE-constrained parameter optimization. CoRR Stefan Banholzer, Tim Keil, Luca Mechelli, Mario Ohlberger, Felix Schindler, Stefan Volkwein
2020	J	`jnl`	Numerical Upscaling of Perturbed Diffusion Problems. SIAM J. Sci. Comput. Fredrik Hellman, Tim Keil, Axel Målqvist
2019	J	`jnl`	Numerical upscaling of perturbed diffusion problems. CoRR Fredrik Hellman, Tim Keil, Axel Målqvist