Adaptive Localized Reduced Basis Methods for Large Scale PDE-constrained Optimization

Keil, Tim; Ohlberger, Mario; Schindler, Felix (2024)

In: Lirkov, I; Margenov, S (eds.), Large-Scale Scientific Computations. Cham: .

Research article in edited proceedings (conference)

Local training and enrichment based on a residual localization strategy

Tim Keil, Mario Ohlberger, Felix Schindler, Julia Schleuß (2024)

In: Frolkovič, P; Mikula, K; Ševčovič, D (eds.), Proceedings of the Conference Algoritmy 2024. Bratislava: .

Research article in edited proceedings (conference)

Model Reduction for Large Scale Systems

Keil Tim, Ohlberger Mario (2022)

In: Lirkov Ivan, Margenov Svetozar (eds.), Large-Scale Scientific Computing. Cham: .

Research article (book contribution)

Adaptive machine learning based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery

In: , .

Adaptive Reduced Basis Methods for Multiscale Problems and Large-scale PDE-constrained Optimization

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A Relaxed Localized Trust-Region Reduced Basis Approach for Optimization of Multiscale Problems Keil Tim, Ohlberger Mario (2024) In: ESAIM: Mathematical Modelling and Numerical Analysis, 58. Research article (journal)
Adaptive Localized Reduced Basis Methods for Large Scale PDE-constrained Optimization Keil, Tim; Ohlberger, Mario; Schindler, Felix (2024) In: Lirkov, I; Margenov, S (eds.), Large-Scale Scientific Computations. Cham: . Research article in edited proceedings (conference)
Adaptive Reduced Basis Trust Region Methods for Parameter Identification Problems Kartmann, Michael; Keil, Tim; Ohlberger, Mario; Volkwein, Stephan; Kaltenbacher, Barbara (2024) In: Computational Science and Engineering, 1(3), 1,3. Research article (journal)
Local training and enrichment based on a residual localization strategy Tim Keil, Mario Ohlberger, Felix Schindler, Julia Schleuß (2024) In: Frolkovič, P; Mikula, K; Ševčovič, D (eds.), Proceedings of the Conference Algoritmy 2024. Bratislava: . Research article in edited proceedings (conference)
An Online Efficient Two-Scale Reduced Basis Approach for the Localized Orthogonal Decomposition Keil Tim, Rave Stephan (2023) In: SIAM Journal on Scientific Computing, 45(4). Research article (journal)
Model Reduction for Large Scale Systems Keil Tim, Ohlberger Mario (2022) In: Lirkov Ivan, Margenov Svetozar (eds.), Large-Scale Scientific Computing. Cham: . Research article (book contribution)
An adaptive projected Newton non-conforming dual approach for trust-region reduced basis approximation of PDE-constrained parameter optimization In: .
Adaptive machine learning based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery In: , .
A Super-Localized Generalized Finite Element Method In:
Adaptive Reduced Basis Methods for Multiscale Problems and Large-scale PDE-constrained Optimization