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9 Publications

2022 | Preprint | LibreCat-ID: 29673 | OA
Koopman analysis of quantum systems
S. Klus, F. Nüske, S. Peitz, ArXiv:2201.12062 (2022).
LibreCat | Download (ext.) | arXiv

2022 | Preprint | LibreCat-ID: 30125 | OA
Guaranteed constraint satisfaction in Koopman-based optimal control
M. Schaller, K. Worthmann, F. Philipp, S. Peitz, F. Nüske, ArXiv:2202.09084 (2022).
LibreCat | Download (ext.) | arXiv

2022 | Book Chapter | LibreCat-ID: 16296 | OA
ROM-Based Multiobjective Optimization of Elliptic PDEs via Numerical Continuation
S. Banholzer, B. Gebken, M. Dellnitz, S. Peitz, S. Volkwein, in: H. Michael, H. Roland, K. Christian, U. Michael, U. Stefan (Eds.), Non-Smooth and Complementarity-Based Distributed Parameter Systems, Springer, Cham, 2022, pp. 43–76.
LibreCat | DOI | Download (ext.)

2022 | Book Chapter | LibreCat-ID: 30294
Efficient Virtual Design and Testing of Autonomous Vehicles
S. Peitz, M. Dellnitz, S. Bannenberg, in: H.G. Bock, K.-H. Küfer, P. Maas, A. Milde, V. Schulz (Eds.), German Success Stories in Industrial Mathematics, Springer International Publishing, Cham, 2022.
LibreCat | DOI

2021 | Preprint | LibreCat-ID: 27426 LibreCat

2021 | Journal Article | LibreCat-ID: 21337 | OA
Derivative-Free Multiobjective Trust Region Descent Method Using Radial Basis Function Surrogate Models
M.B. Berkemeier, S. Peitz, Mathematical and Computational Applications 26 (2021).
LibreCat | DOI | Download (ext.)

2021 | Journal Article | LibreCat-ID: 20731 | OA
On the Treatment of Optimization Problems with L1 Penalty Terms via Multiobjective Continuation
K. Bieker, B. Gebken, S. Peitz, IEEE Transactions on Pattern Analysis and Machine Intelligence (2021).
LibreCat | Files available | DOI | Download (ext.)

2021 | Preprint | LibreCat-ID: 23428 | OA
Finite-data error bounds for Koopman-based prediction and control
F. Nüske, S. Peitz, F. Philipp, M. Schaller, K. Worthmann, ArXiv:2108.07102 (2021).
LibreCat | Download (ext.)

2021 | Preprint | LibreCat-ID: 21600 | OA
Efficient time stepping for numerical integration using reinforcement learning
M. Dellnitz, E. Hüllermeier, M. Lücke, S. Ober-Blöbaum, C. Offen, S. Peitz, K. Pfannschmidt, ArXiv:2104.03562 (2021).
LibreCat | Files available | Download (ext.)

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