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Recommendations for the article Learning sparse nonlinear dynamics via mixed-integer optimization
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| visibility_off | Discovering governing equations from data by sparse identification of nonlinear dynamical systems | S. Brunton, J. Proctor, J. Kutz | 2015-09-11 | Proceedings of the National Academy of Sciences | 3913 | 72 |
| visibility_off | Sparse Identification of Nonlinear Dynamics with Side Information (SINDy-SI) | Gabriel F. Machado, Morgan Jones | 2023-10-06 | 2024 American Control Conference (ACC) | 3 | 2 |
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| visibility_off | Sparse reconstruction of ordinary differential equations with inference | S. Venkatraman, Sumanta Basu, M. Wells | 2023-08-17 | ArXiv | 0 | 41 |
| visibility_off | Physics-informed learning of governing equations from scarce data | Zhao Chen, Yang Liu, Hao Sun | 2020-05-05 | Nature Communications | 399 | 14 |
| visibility_off | PySINDy: A Python package for the Sparse Identification of Nonlinear Dynamics from Data. | Brian M. de Silva, Kathleen P. Champion, M. Quade, Jean-Christophe Loiseau, J. Kutz, S. Brunton | 2020-04-17 | arXiv: Dynamical Systems | 60 | 72 |
| visibility_off | SINDy with Control: A Tutorial | Urban Fasel, E. Kaiser, J. Kutz, Bingni W. Brunton, S. Brunton | 2021-08-30 | 2021 60th IEEE Conference on Decision and Control (CDC) | 68 | 72 |
| Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |