Hendrik Kleikamp

17 papers Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Two-Stage Model Reduction Approaches for the Efficient and Certified Solution of Parametrized Optimal Control Problems. J. Sci. Comput. Hendrik Kleikamp, Lukas Renelt
2024	J	`jnl`	Adaptive Model Hierarchies for Multi-Query Scenarios. CoRR Hendrik Kleikamp, Mario Ohlberger
2024	J	`jnl`	Application of an adaptive model hierarchy to parametrized optimal control problems. CoRR Hendrik Kleikamp
2024	J	`jnl`	Kernel Methods in the Deep Ritz framework: Theory and practice. CoRR Hendrik Kleikamp, Tizian Wenzel
2024	—	`conf`	Towards a Knowledge Graph for Models and Algorithms in Applied Mathematics. MTSR Björn Schembera, Frank Wübbeling, Hendrik Kleikamp, Burkhard Schmidt, Aurela Shehu, Marco Reidelbach, Christine Biedinger, Jochen Fiedler, Thomas Koprucki, Dorothea Iglezakis, Dominik Göddeke
2024	J	`jnl`	Towards a Knowledge Graph for Models and Algorithms in Applied Mathematics. CoRR Björn Schembera, Frank Wübbeling, Hendrik Kleikamp, Burkhard Schmidt, Aurela Shehu, Marco Reidelbach, Christine Biedinger, Jochen Fiedler, Thomas Koprucki, Dorothea Iglezakis, Dominik Göddeke
2024	J	`jnl`	Two-stage model reduction approaches for the efficient and certified solution of parametrized optimal control problems. CoRR Hendrik Kleikamp, Lukas Renelt
2023	J	`jnl`	A New Certified Hierarchical and Adaptive RB-ML-ROM Surrogate Model for Parametrized PDEs. SIAM J. Sci. Comput. Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler, Tizian Wenzel
2023	—	`conf`	Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling. LSSC Tizian Wenzel, Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler
2023	J	`jnl`	Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling. CoRR Tizian Wenzel, Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler
2023	J	`jnl`	Be greedy and learn: efficient and certified algorithms for parametrized optimal control problems. CoRR Hendrik Kleikamp, Martin Lazar, Cesare Molinari
2023	—	`conf`	Ontologies for Models and Algorithms in Applied Mathematics and Related Disciplines. MTSR Björn Schembera, Frank Wübbeling, Hendrik Kleikamp, Christine Biedinger, Jochen Fiedler, Marco Reidelbach, Aurela Shehu, Burkhard Schmidt, Thomas Koprucki, Dorothea Iglezakis, Dominik Göddeke
2023	J	`jnl`	Ontologies for Models and Algorithms in Applied Mathematics and Related Disciplines. CoRR Björn Schembera, Frank Wübbeling, Hendrik Kleikamp, Christine Biedinger, Jochen Fiedler, Marco Reidelbach, Aurela Shehu, Burkhard Schmidt, Thomas Koprucki, Dorothea Iglezakis, Dominik Göddeke
2022	J	`jnl`	A new certified hierarchical and adaptive RB-ML-ROM surrogate model for parametrized PDEs. CoRR Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler, Tizian Wenzel
2022	J	`jnl`	Adaptive machine learning based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery. CoRR Tim Keil, Hendrik Kleikamp, Rolf J. Lorentzen, Micheal B. Oguntola, Mario Ohlberger
2022	J	`jnl`	Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery. Adv. Comput. Math. Tim Keil, Hendrik Kleikamp, Rolf J. Lorentzen, Micheal B. Oguntola, Mario Ohlberger
2022	J	`jnl`	Nonlinear Model Order Reduction using Diffeomorphic Transformations of a Space-Time Domain. CoRR Hendrik Kleikamp, Mario Ohlberger, Stephan Rave