Extended dynamic mode decomposition for model reduction in fluid dynamics simulations
Giulia Libero,
Alessia Chiofalo,
Valentina Ciriello
et al.
Abstract:High computational cost and storage/memory requirements of fluid dynamics simulations constrain their usefulness as a predictive tool. Reduced-order models (ROMs) provide a viable solution to this challenge by extracting the key underlying dynamics of a complex system directly from data. We investigate the efficacy and robustness of an extended dynamic mode decomposition (xDMD) algorithm in constructing ROMs of three-dimensional cardiovascular computations. Focusing on the ROMs' accuracy in representation and … Show more
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