Reduced-order modelling based on Koopman operator theory
Numerical Analysis
2024-09-06 v1 Numerical Analysis
Dynamical Systems
Abstract
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.
Cite
@article{arxiv.2409.03549,
title = {Reduced-order modelling based on Koopman operator theory},
author = {Diana A. Bistrian and Gabriel Dimitriu and Ionel M. Navon},
journal= {arXiv preprint arXiv:2409.03549},
year = {2024}
}
Comments
11 pages, 7 figures