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Hendrik Kleikamp
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2020 – today
- 2024
- [i10]Hendrik Kleikamp
:
Application of an adaptive model hierarchy to parametrized optimal control problems. CoRR abs/2402.10708 (2024) - [i9]Björn Schembera, Frank Wübbeling, Hendrik Kleikamp, Burkhard Schmidt, Aurela Shehu, Marco Reidelbach, Christine Biedinger, Jochen Fiedler, Thomas Koprucki, Dorothea Iglezakis, Dominik Göddeke:
Towards a Knowledge Graph for Models and Algorithms in Applied Mathematics. CoRR abs/2408.10003 (2024) - [i8]Hendrik Kleikamp, Lukas Renelt
Two-stage model reduction approaches for the efficient and certified solution of parametrized optimal control problems. CoRR abs/2408.15900 (2024) - [i7]Hendrik Kleikamp, Tizian Wenzel:
Kernel Methods in the Deep Ritz framework: Theory and practice. CoRR abs/2410.03503 (2024) - 2023
- [j2]Bernard Haasdonk, Hendrik Kleikamp
A New Certified Hierarchical and Adaptive RB-ML-ROM Surrogate Model for Parametrized PDEs. SIAM J. Sci. Comput. 45(3): 1039-1065 (2023) - [c2]Tizian Wenzel, Bernard Haasdonk, Hendrik Kleikamp
Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling. LSSC 2023: 117-125 - [c1]Björn Schembera, Frank Wübbeling, Hendrik Kleikamp, Christine Biedinger, Jochen Fiedler, Marco Reidelbach, Aurela Shehu, Burkhard Schmidt, Thomas Koprucki, Dorothea Iglezakis, Dominik Göddeke:
Ontologies for Models and Algorithms in Applied Mathematics and Related Disciplines. MTSR 2023: 161-168 - [i6]Tizian Wenzel, Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler:
Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling. CoRR abs/2302.14526 (2023) - [i5]Hendrik Kleikamp
Be greedy and learn: efficient and certified algorithms for parametrized optimal control problems. CoRR abs/2307.15590 (2023) - [i4]Björn Schembera, Frank Wübbeling, Hendrik Kleikamp, Christine Biedinger, Jochen Fiedler, Marco Reidelbach, Aurela Shehu
Ontologies for Models and Algorithms in Applied Mathematics and Related Disciplines. CoRR abs/2310.20443 (2023) - 2022
- [j1]Tim Keil, Hendrik Kleikamp
Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery. Adv. Comput. Math. 48(6): 73 (2022) - [i3]Tim Keil, Hendrik Kleikamp, Rolf J. Lorentzen, Micheal B. Oguntola
Adaptive machine learning based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery. CoRR abs/2203.01674 (2022) - [i2]Hendrik Kleikamp, Mario Ohlberger, Stephan Rave:
Nonlinear Model Order Reduction using Diffeomorphic Transformations of a Space-Time Domain. CoRR abs/2203.05833 (2022) - [i1]Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler, Tizian Wenzel:
A new certified hierarchical and adaptive RB-ML-ROM surrogate model for parametrized PDEs. CoRR abs/2204.13454 (2022)
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