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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.03549 |
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| _version_ | 1866913492327464960 |
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| author | Bistrian, Diana A. Dimitriu, Gabriel Navon, Ionel M. |
| author_facet | Bistrian, Diana A. Dimitriu, Gabriel Navon, Ionel M. |
| contents | The present study focuses on a subject of significant interest in fluid dynamics: the identification of a model with decreased computational complexity from numerical code output using Koopman operator theory. A reduced-order modelling method that incorporates a novel strategy for identifying the most impactful Koopman modes was used to numerically approximate the Koopman composition operator. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_03549 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Reduced-order modelling based on Koopman operator theory Bistrian, Diana A. Dimitriu, Gabriel Navon, Ionel M. Numerical Analysis Dynamical Systems 93A30, 70K75, 65C20 The present study focuses on a subject of significant interest in fluid dynamics: the identification of a model with decreased computational complexity from numerical code output using Koopman operator theory. A reduced-order modelling method that incorporates a novel strategy for identifying the most impactful Koopman modes was used to numerically approximate the Koopman composition operator. |
| title | Reduced-order modelling based on Koopman operator theory |
| topic | Numerical Analysis Dynamical Systems 93A30, 70K75, 65C20 |
| url | https://arxiv.org/abs/2409.03549 |