| Research Interests | Nonlinear model order reduction for transport-dominated problems Reduced basis methods and linear model order reduction Scientific machine learning (neural networks, kernel methods) (Optimal) Control of dynamical systems |
| Current Talks | • Certified machine learning for model order reduction of parametrized problems. Ulysseus Research Workshop on Mathematics in Machine Learning, Online Slides Link to event • Adaptive model hierarchies for solving parametrized optimal control problems in multi-query scenarios. Seminar Talk, Genova Slides Link to event • Reduced Basis Methods with pyMOR. pyMOR School and User Meeting 2024, Münster Link to event • Be greedy and learn: efficient and certified algorithms for parametrized optimal control problems. Minisymposium on "New Trends in Model Order Reduction and Learning" at ALGORITMY 2024, Central-European Conference on Scientific Computing, Podbanske Slides Link to event • Be greedy and learn: efficient and certified algorithms for parametrized optimal control problems. YMMOR - Young Mathematicians in Model Order Reduction, Stuttgart Slides Link to event • Be greedy and learn - efficient and certified algorithms for parametrized optimal control problems. Oberseminar Numerik, Münster Slides Link to event • A new Certified Hierarchical and Adaptive RB-ML-ROM Surrogate Model for Parametrized PDEs. Minisymposium on "Adaptive Methods for Surrogate and Reduced Order Modeling" at ADMOS (XI International Conference on Adaptive Modeling and Simulation), Göteborg Slides Link to event • Nonlinear model order reduction for parametrized transport-dominated PDEs using registration-based methods. YMMOR - Young Mathematicians in Model Order Reduction, Ulm Slides Link to event • Model order reduction with artificial neural networks in pyMOR. Minitutorial on "pyMOR - Model Order Reduction with Python" at SIAM CSE (SIAM Conference on Computational Science and Engineering) 2023, Amsterdam Slides Link to event |
| Current Publications | • Wenzel, Tizian; Haasdonk, Bernard; Kleikamp, Hendrik; Ohlberger, Mario; Schindler, Felix Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling. Large-Scale Scientific ComputationsLecture Notes in Computer Science, 2024 online • Schembera, Björn; Wübbeling, Frank; Kleikamp, Hendrik; Biedinger, Christine; Fiedler, Jochen; Reidelbach, Marco; Shehu, Aurela; Schmidt, Burkhard; Koprucki, Thomas; Iglezakis, Dorothea; Göddeke, Dominik Ontologies for Models and Algorithms in Applied Mathematics and Related Disciplines. Metadata and Semantic Research - 17th Research Conference, MTSR 2023, Milan, Italy, October 25–27, 2023, Revised Selected PapersCommunications in Computer and Information Science, 2024 online • Kleikamp, Hendrik Application of an adaptive model hierarchy to parametrized optimal control problems. Proceedings of the Conference Algoritmy Vol. 2024, 2024 online • Schembera, Björn; Wübbeling, Frank; Kleikamp, Hendrik; Schmidt, Burkhard; Shehu, Aurela; Reidelbach, Marco; Biedinger, Christine; Fiedler, Jochen; Koprucki, Thomas; Iglezakis, Dorothea; Göddeke, Dominik Towards a Knowledge Graph for Models and Algorithms in Applied Mathematics. Proceedings of the 18th International Conference on Metadata and Semantics Research 2024, 2024 online • Kleikamp, Hendrik; Renelt, Lukas Two-stage model reduction approaches for the efficient and certified solution of parametrized optimal control problems. , 2024 online • Kleikamp, Hendrik; Wenzel, Tizian Kernel Methods in the Deep Ritz framework: Theory and practice. , 2024 online • Kleikamp, Hendrik; Ohlberger, Mario Adaptive Model Hierarchies for Multi-Query Scenarios. , 2024 online • Haasdonk B, Kleikamp H, Ohlberger M, Schindler F, Wenzel T A new certified hierarchical and adaptive RB-ML-ROM surrogate model for parametrized PDEs. SIAM Journal on Scientific Computing Vol. 45 (3), 2023 online • Kleikamp, Hendrik; Lazar, Martin; Molinari, Cesare Be greedy and learn: efficient and certified algorithms for parametrized optimal control problems. , 2023 online | hendrik dot kleikamp at uni-muenster dot de |
| Phone | +49 251 83-35060 |
| FAX | +49 251 83-32729 |
| Room | 120.007 |
| Secretary | Sekretariat Wernke Frau Silvia Wernke Telefon +49 251 83-35052 Fax +49 251 83-32729 Zimmer 120.001 |
| Address | Herr Hendrik Kleikamp Angewandte Mathematik Münster: Institut für Analysis und Numerik Fachbereich Mathematik und Informatik der Universität Münster Orléans-Ring 10 48149 Münster |
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