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ORCIDBernard Haasdonk
- > Home > Persons > Bernard Haasdonk
Publications
- 2024
[j29]Robin Herkert
, Patrick Buchfink, Bernard Haasdonk:
Dictionary-based online-adaptive structure-preserving model order reduction for parametric Hamiltonian systems. Adv. Comput. Math. 50(1): 12 (2024)- [j27]Johannes Rettberg, Dominik Wittwar, Patrick Buchfink, Robin Herkert, Jörg Fehr, Bernard Haasdonk:
Improved a posteriori error bounds for reduced port-Hamiltonian systems. Adv. Comput. Math. 50(5): 100 (2024) - [i33]Robin Herkert, Patrick Buchfink, Bernard Haasdonk, Johannes Rettberg, Jörg Fehr:
Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems. CoRR abs/2405.10465 (2024) - [i32]Robin Herkert, Patrick Buchfink, Tizian Wenzel, Bernard Haasdonk, Pavel Toktaliev, Oleg Iliev:
Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data. CoRR abs/2405.19170 (2024) - 2023
- [j26]Patrick Buchfink, Silke Glas, Bernard Haasdonk:
Symplectic Model Reduction of Hamiltonian Systems on Nonlinear Manifolds and Approximation with Weakly Symplectic Autoencoder. SIAM J. Sci. Comput. 45(2): 289- (2023) - [c20]Robin Herkert, Patrick Buchfink, Bernard Haasdonk, Johannes Rettberg, Jörg Fehr:
Randomized Symplectic Model Order Reduction for Hamiltonian Systems. LSSC 2023: 99-107 - [i30]Robin Herkert, Patrick Buchfink, Bernard Haasdonk, Johannes Rettberg, Jörg Fehr:
Randomized Symplectic Model Order Reduction for Hamiltonian Systems. CoRR abs/2303.04036 (2023) - [i29]Johannes Rettberg, Dominik Wittwar, Patrick Buchfink, Robin Herkert, Jörg Fehr, Bernard Haasdonk:
Improved a posteriori Error Bounds for Reduced port-Hamiltonian Systems. CoRR abs/2303.17329 (2023) - [i28]Robin Herkert, Patrick Buchfink, Bernard Haasdonk:
Dictionary-based Online-adaptive Structure-preserving Model Order Reduction for Parametric Hamiltonian Systems. CoRR abs/2303.18072 (2023) - [i25]Patrick Buchfink, Silke Glas, Bernard Haasdonk:
Approximation Bounds for Model Reduction on Polynomially Mapped Manifolds. CoRR abs/2312.00724 (2023) - [i24]Patrick Buchfink, Silke Glas, Bernard Haasdonk, Benjamin Unger:
Model Reduction on Manifolds: A differential geometric framework. CoRR abs/2312.01963 (2023) - 2022
- [c18]Raphael Leiteritz, Patrick Buchfink, Bernard Haasdonk, Dirk Pflüger:
Surrogate-data-enriched Physics-Aware Neural Networks. NLDL 2022 - [i23]Johannes Rettberg, Dominik Wittwar, Patrick Buchfink, Alexander Brauchler, Pascal Ziegler, Jörg Fehr, Bernard Haasdonk:
Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar. CoRR abs/2203.10061 (2022) - 2021
- [c16]Shahnewaz Shuva, Patrick Buchfink, Oliver Röhrle, Bernard Haasdonk:
Reduced Basis Methods for Efficient Simulation of a Rigid Robot Hand Interacting with Soft Tissue. LSSC 2021: 402-409 - [i18]Shahnewaz Shuva, Patrick Buchfink, Oliver Röhrle, Bernard Haasdonk:
Reduced Basis Methods for Efficient Simulation of a Rigid Robot Hand Interacting with Soft Tissue. CoRR abs/2103.15422 (2021) - [i13]Raphael Leiteritz, Patrick Buchfink, Bernard Haasdonk, Dirk Pflüger:
Surrogate-data-enriched Physics-Aware Neural Networks. CoRR abs/2112.05489 (2021) - [i12]Patrick Buchfink, Silke Glas, Bernard Haasdonk:
Symplectic Model Reduction of Hamiltonian Systems on Nonlinear Manifolds. CoRR abs/2112.10815 (2021) - 2019
- [c14]Patrick Buchfink, Bernard Haasdonk:
Experimental Comparison of Symplectic and Non-symplectic Model Order Reduction on an Uncertainty Quantification Problem. ENUMATH 2019: 205-213
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