Efficient Space–Time Reduced Order Model for Linear Dynamical Systems in Python Using Less than 120 Lines of Code

Efficient Space–Time Reduced Order Model for Linear Dynamical Systems in Python Using Less than 120 Lines of Code

A classical reduced order model (ROM) for dynamical problems typically involves only the spatial reduction of a given problem. Recently, a novel space–time ROM for linear dynamical problems has been developed [Choi et al., Space–tume reduced order model for large-scale linear dynamical systems with...

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Bibliographic Details
Main Authors: Youngkyu Kim, Karen Wang, Youngsoo Choi
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Mathematics
Subjects:
space–time reduced order model
Python codes
proper orthogonal decomposition
linear dynamical systems
least-squares Petrov–Galerkin projection
error bound
Online Access:https://www.mdpi.com/2227-7390/9/14/1690

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https://www.mdpi.com/2227-7390/9/14/1690

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