Publications

Patrick Buchfink, Silke Glas, Bernard Haasdonk, und Benjamin Unger. Model reduction on manifolds: A differential geometric framework. 2024. [PUMA: EXC2075 PN5-7 anm fis haasdonk ians imported unibibliografie] URL

Robin Rainer Herkert. Replication Code for: Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data. 2024. [PUMA: 6-1-II EXC2075 PN PN6 anm fis haasdonk ians imported unibibliografie]

Robin Herkert, Patrick Buchfink, Tizian Wenzel, Bernard Haasdonk, Pavel Toktaliev, und Oleg Iliev. Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data. Mathematics, (12)132024. [PUMA: EXC2075 PN6 PN6-1-II anm fis haasdonk ians imported unibibliografie] URL

Patrick Buchfink, Silke Glas, und Bernard Haasdonk. Approximation Bounds for Model Reduction on Polynomially Mapped Manifolds. 2023. [PUMA: EXC2075 PN5 PN5-7 anm fis haasdonk ians imported unibibliografie] URL

Patrick Buchfink, Silke Glas, Bernard Haasdonk, und Benjamin Unger. Model reduction on manifolds: A differential geometric framework. In 2024 Physica D (Hrsg.), 2024. [PUMA: EXC2075 PN5 PN5-7 anm fis haasdonk ians imported preprint unibibliografie] URL

Felix Döppel, Tizian Wenzel, Robin Herkert, Bernard Haasdonk, und Martin Votsmeier. Goal‐Oriented Two‐Layered Kernel Models as Automated Surrogates for Surface Kinetics in Reactor Simulations. Chemie Ingenieur Technik, (96)6:759–768, Wiley, Januar 2024. [PUMA: EXC2075 PN6 PN6-1-II anm fis haasdonk ians imported unibibliografie] URL

Gabriele Santin, Tizian Wenzel, und Bernard Haasdonk. On the optimality of target-data-dependent kernel greedy interpolation in Sobolev Reproducing Kernel Hilbert Spaces. 2023. [PUMA: EXC2075 PN6 anm fis haasdonk ians imported unibibliografie] URL

Gabriele Santin, Toni Karvonen, und Bernard Haasdonk. Sampling based approximation of linear functionals in reproducing kernel Hilbert spaces. BIT Numerical Mathematics, (62)1:279--310, 01.03.2022. [PUMA: EXC2075 anm fis haasdonk ians imported liste unibibliografie wenzel] URL

Tizian Wenzel, Gabriele Santin, und Bernard Haasdonk. Analysis of Target Data-Dependent Greedy Kernel Algorithms: Convergence Rates for f -, f · P - and f /P -greedy. Constructive Approximation, (57)1:45--74, 01.02.2023. [PUMA: PN6 anm fis haasdonk ians imported unibibliografie] URL

Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler, und Tizian Wenzel. A New Certified Hierarchical and Adaptive RB-ML-ROM Surrogate Model for Parametrized PDEs. In 2023 SIAM Journal on Scientific Computing, 45(3):A1039-S460 (Hrsg.), SIAM Journal on Scientific Computing, (45)3:A1039–A1065, Society for Industrial & Applied Mathematics (SIAM), Mai 2023. [PUMA: PN6 anm haasdonk ians imported unibibliografie wenzel] URL

Maria Hammer, Tizian Wenzel, Gabriele Santin, Laura Meszaros-Beller, Judith Paige Little, Bernard Haasdonk, und Syn Schmitt. A new method to design energy-conserving surrogate models for the coupled, nonlinear responses of intervertebral discs. Biomechanics and Modeling in Mechanobiology, (23)3:757--780, 01.06.2024. [PUMA: PN6 anm fis haasdonk ians unibibliografie wenzel] URL

Tizian Wenzel, Gabriele Santin, und Bernard Haasdonk. Stability of convergence rates: Kernel interpolation on non-Lipschitz domains. In 2024 IMA Journal of Numerical Analysis, 44(3):1-22 (Hrsg.), 2023. [PUMA: EXC2075 PN6 anm fis haasdonk ians unibibliografie wenzel] URL

Tizian Wenzel, Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, und Felix Schindler. Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling. In Ivan Lirkov, und Svetozar Margenov (Hrsg.), Large-Scale Scientific Computations, 117--125, Springer Nature Switzerland, Cham, 2024. [PUMA: EXC2075 PN6 anm fis haasdonk ians unibibliografie wenzel]

Patrick Buchfinck, Silke Glas, und Bernard Haasdonk. Optimal Bases for Symplectic Model Order Reduction of Canonizable Linear Hamiltonian Systems. In submitted (Hrsg.), 2022. [PUMA: anm ians]

Bernard Haasdonk. Model Order Reduction, Applications, MOR Software. In De Gruyter (Hrsg.), (3)De Gruyter, 2021. [PUMA: anm fis ians]

Tobias Ehring, und Bernard Haasdonk. Feedback control for a coupled soft tissue system by kernel surrogates. Coupled Problems 2021, IS112021. [PUMA: anm ians unibibliografie]

Tobias Ehring, und Bernard Haasdonk. Greedy sampling and approximation for realizing feedback control for high dimensional nonlinear systems. In submitted (Hrsg.), 2021. [PUMA: anm ians]

A. Bhatt, J. Fehr, und B. Haasdonk. Model order reduction of an elastic body under large rigid motion. In Springer (Hrsg.), Proceedings of ENUMATH 2017, (Lect. Notes Comput. Sci. Eng.,)126Springer, 2019. [PUMA: EXC310 fis ians liste unibibliografie] URL

Roman Föll, Bernard Haasdonk, Markus Hanselmann, und Holger Ulmer. Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation. 2019. [PUMA: anm ians] URL

Bernard Haasdonk, Boumediene Hamzi, Gabriele Santin, und Dominik Wittwar. Greedy kernel methods for center manifold approximation. Spectral and high order methods for partial differential equations---ICOSAHOM 2018, (134):95--106, Springer, Cham, 2020. [PUMA: anm fis ians imported liste unibibliografie] URL