Dynamical Reduced-Order Models for High-Dimensional Systems

Dynamical Reduced-Order Models for High-Dimensional Systems

Advances in computational power have brought the possibility of realistically modeling our world with numerical simulations closer than ever. Nevertheless, our appetite for higher fidelity simulations and faster run times grows quickly; we will always grasp at what is just beyond our computational r...

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Bibliographic Details
Main Author:	Charous, Aaron
Other Authors:	Lermusiaux, Pierre F.J.
Format:	Thesis
Published:	Massachusetts Institute of Technology 2023
Online Access:	https://hdl.handle.net/1721.1/151865 https://orcid.org/0000-0001-8421-3027

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