- [[Category:data-driven]] ...ay to fasten the gust simulation step and simplify the analysis by mean of data-driven model approximation in the Loewner framework is proposed, as well as a desc5 KB (701 words) - 07:30, 17 June 2025
- ...yDMD] is a Python package that uses Dynamic Mode Decomposition (DMD) for a data-driven model simplification based on spatiotemporal coherent structures. DMD is a ...inks">[https://doi.org/10.1137/1.9781611974508 Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems]</span>", Vol. 149, SIAM, 2016</ref>3 KB (467 words) - 19:00, 11 February 2019
- [[Category:data-driven]] ...las, "<span class="plainlinks">[https://doi.org/10.1016/bs.hna.2021.12.015 Data-driven modeling and control of large-scale dynamical systems in the Loewner framew8 KB (1,228 words) - 11:49, 12 October 2022
- .... C. Antoulas, <span class="plainlinks">[https://doi.org/10.1137/130914619 Data-Driven Parametrized Model Reduction in the Loewner Framework]</span>, SIAM J. Sci.5 KB (621 words) - 11:38, 30 November 2023
- ...2 Balancing-related model reduction methods]</span>". Volume 1 System- and Data-Driven Methods and Algorithms: 15--56, 2021.</ref>5 KB (657 words) - 07:33, 17 June 2025
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- It is a data-driven method that directly constructs a ROM using only measured data (samples of ...A.C. Antoulas. <span class="plainlinks">[https://doi.org/10.1002/nla.2200 Data-driven model order reduction of quadratic-bilinear systems]</span>. Numercial Line35 KB (5,663 words) - 12:56, 20 September 2018
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