Accelerated construction of projection-based reduced-order models via incremental approaches

Abstract We present an accelerated greedy strategy for training of projection-based reduced-order models for parametric steady and unsteady partial differential equations. Our approach exploits hierarchical approximate proper orthogonal decomposition to speed up the construction of the empirical tes...

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Bibliographic Details
Main Authors: Eki Agouzal, Tommaso Taddei
Format: Article
Language:English
Published: SpringerOpen 2024-04-01
Series:Advanced Modeling and Simulation in Engineering Sciences
Subjects:
Online Access:https://doi.org/10.1186/s40323-024-00263-5