E-LIB Suche - Ergebnisse für: Keil, Tim

1

Adaptive Localized Reduced Basis Methods for Large Scale PD..:

, In: Large-Scale Scientific Computations; Lecture Notes in Computer Science,

Keil, Tim ; Ohlberger, Mario ; Schindler, Felix - p. 108-116 , 2024

Link: https://doi.org/10.1007/..

2

A relaxed localized trust-region reduced basis approach for..:

Keil, Tim ; Ohlberger, Mario
ESAIM: Mathematical Modelling and Numerical Analysis. 58 (2024) 1 - p. 79-105 , 2024

Link: https://doi.org/10.1051/..

3

A super-localized generalized finite element method:

Freese, Philip ; Hauck, Moritz ; Keil, Tim.
Numerische Mathematik. 156 (2023) 1 - p. 205-235 , 2023

Link: https://doi.org/10.1007/..

4

An Online Efficient Two-Scale Reduced Basis Approach for th..:

Keil, Tim ; Rave, Stephan
SIAM Journal on Scientific Computing. 45 (2023) 4 - p. A1491-A1518 , 2023

Link: https://doi.org/10.1137/..

5

Adaptive machine learning-based surrogate modeling to accel..:

Keil, Tim ; Kleikamp, Hendrik ; Lorentzen, Rolf J...
Advances in Computational Mathematics. 48 (2022) 6 - p. , 2022

Link: https://doi.org/10.1007/..

6

Model Reduction for Large Scale Systems:

, In: Large-Scale Scientific Computing; Lecture Notes in Computer Science,

Keil, Tim ; Ohlberger, Mario - p. 16-28 , 2022

Link: https://doi.org/10.1007/..

7

Numerical Upscaling of Perturbed Diffusion Problems:

Hellman, Fredrik ; Keil, Tim ; Målqvist, Axel
SIAM Journal on Scientific Computing. 42 (2020) 4 - p. A2014-A2036 , 2020

Link: https://doi.org/10.1137/..

8

Adaptive Reduced Basis Trust Region Methods for Parameter I..:

Kartmann, Michael ; Keil, Tim ; Ohlberger, Mario..
http://arxiv.org/abs/2309.07627. , 2023

Link: http://arxiv.org/abs/230..

9

A super-localized generalized finite element method:

Freese, Jan Philip ; Hauck, Moritz ; Keil, Tim.
Numerische Mathematik. , 2023

Link: https://hdl.handle.net/1..

10

Adaptive Localized Reduced Basis Methods for Large Scale Pa..:

Keil, Tim ; Ohlberger, Mario ; Schindler, Felix
http://arxiv.org/abs/2303.03074. , 2023

Link: http://arxiv.org/abs/230..

11

A Super-Localized Generalized Finite Element Method:

Freese, Philip ; Hauck, Moritz ; Keil, Tim.
http://arxiv.org/abs/2211.09461. , 2022

Link: http://arxiv.org/abs/221..

12

Adaptive machine learning-based surrogate modeling to accel..:

Keil, Tim ; Kleikamp, Hendrik ; Lorentzen, Rolf Johan..
Keil, T., Kleikamp, H., Lorentzen, R. J., Oguntola, M. B., & Ohlberger, M. (2022). Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery. Advances in Computational Mathematics, 48(6), 73.. , 2022

Link: https://hdl.handle.net/1..

13

Adaptive machine learning based surrogate modeling to accel..:

Keil, Tim ; Kleikamp, Hendrik ; Lorentzen, Rolf J..
http://arxiv.org/abs/2203.01674. , 2022

Link: http://arxiv.org/abs/220..

14

A Relaxed Localized Trust-Region Reduced Basis Approach for..:

Keil, Tim ; Ohlberger, Mario
http://arxiv.org/abs/2203.09964. , 2022

Link: http://arxiv.org/abs/220..

15

Adaptive Reduced Basis Methods for Multiscale Problems and ..:

Keil, Tim
http://arxiv.org/abs/2211.09607. , 2022

Link: http://arxiv.org/abs/221..