Reduced-order modelling based on Koopman operator theory
<|reference_start|>Reduced-order modelling based on Koopman operator theory: 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.<|reference_end|>
@article{bistrian2024reduced-order,
    title={Reduced-order modelling based on Koopman operator theory},
    author={Diana A. Bistrian, Gabriel Dimitriu, Ionel M. Navon},
    journal={Transylvanian Journal of Mathematics and Mechanics, Vol.15, No.
  1-2, pp. 17-27, 2023},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.03549},
    primaryClass={math.NA cs.NA math.DS}
}