| Symplectic model order reduction with non-orthonormal bases P Buchfink, A Bhatt, B Haasdonk Mathematical and Computational Applications 24 (2), 43, 2019 | 40 | 2019 |
| Symplectic model reduction of Hamiltonian systems on nonlinear manifolds and approximation with weakly symplectic autoencoder P Buchfink, S Glas, B Haasdonk SIAM Journal on Scientific Computing 45 (2), A289-A311, 2023 | 16 | 2023 |
| Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds H Sharma, H Mu, P Buchfink, R Geelen, S Glas, B Kramer Computer Methods in Applied Mechanics and Engineering 417, 116402, 2023 | 11 | 2023 |
| Symplectic model reduction of Hamiltonian systems on nonlinear manifolds P Buchfink, S Glas, B Haasdonk arXiv preprint arXiv:2112.10815, 2021 | 11 | 2021 |
| Psd-greedy basis generation for structure-preserving model order reduction of Hamiltonian systems P Buchfink, B Haasdonk, S Rave Proceedings of the Conference Algoritmy, 151-160, 2020 | 9 | 2020 |
| Port-Hamiltonian fluid–structure interaction modelling and structure-preserving model order reduction of a classical guitar J Rettberg, D Wittwar, P Buchfink, A Brauchler, P Ziegler, J Fehr, ... Mathematical and Computer Modelling of Dynamical Systems 29 (1), 116-148, 2023 | 6 | 2023 |
| Optimal bases for symplectic model order reduction of canonizable linear Hamiltonian systems P Buchfink, S Glas, B Haasdonk IFAC-papersonline 55 (20), 463-468, 2022 | 5 | 2022 |
| Dictionary-based online-adaptive structure-preserving model order reduction for parametric Hamiltonian systems R Herkert, P Buchfink, B Haasdonk Advances in Computational Mathematics 50 (1), 12, 2024 | 2 | 2024 |
| Approximation bounds for model reduction on polynomially mapped manifolds P Buchfink, S Glas, B Haasdonk | 2 | 2023 |
| Improved a posteriori Error Bounds for Reduced port-Hamiltonian Systems J Rettberg, D Wittwar, P Buchfink, R Herkert, J Fehr, B Haasdonk arXiv preprint arXiv:2303.17329, 2023 | 2 | 2023 |
| Surrogate-data-enriched physics-aware neural networks R Leiteritz, P Buchfink, B Haasdonk, D Pflüger arXiv preprint arXiv:2112.05489, 2021 | 2 | 2021 |
| Structure-preserving Model Reduction of Hamiltonian Systems for Linear Elasticity P Buchfink Vienna Conf. Math. Mod, 2018 | 1 | 2018 |
| Model Reduction on Manifolds: A differential geometric framework P Buchfink, S Glas, B Haasdonk, B Unger | | 2023 |
| Randomized Symplectic Model Order Reduction for Hamiltonian Systems R Herkert, P Buchfink, B Haasdonk, J Rettberg, J Fehr arXiv preprint arXiv:2303.04036, 2023 | | 2023 |
| Reduced Basis Methods for Efficient Simulation of a Rigid Robot Hand Interacting with Soft Tissue S Shuva, P Buchfink, O Röhrle, B Haasdonk International Conference on Large-Scale Scientific Computing, 402-409, 2021 | | 2021 |
| Experimental Comparison of Symplectic and Non-symplectic Model Order Reduction on an Uncertainty Quantification Problem P Buchfink, B Haasdonk Numerical Mathematics and Advanced Applications ENUMATH 2019: European …, 2020 | | 2020 |
| 4 Scientific Program-Day T Ehring, P Buchfink, B Haasdonk Book of Abstracts, 9, 0 | | |
| 7.7 Structure-preserving model order reduction and error analysis of port-Hamiltonian systems J Rettberg, D Wittwar, P Buchfink, R Herkert, J Fehr, B Haasdonk Book of Abstracts, 37, 0 | | |
| Structure-preserving Model Order Reduction for Large-scale Hamiltonian Systems from Model Predictive Control T Ehring, P Buchfink, B Haasdonk | | |
| An Introduction to Symplectic Model Order Reduction P Buchfink | | |
Bernard HaasdonkProfessor for Numerical MathematicsVerified email at mathematik.uni-stuttgart.de
