ModelFLOWs-app: Data-driven post-processing and reduced order modelling tools-Reference-Cited by-同舟云学术

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ModelFLOWs-app: Data-driven post-processing and reduced order modelling tools

Published:2024-08 Issue: Volume:301 Page:109217
ISSN:0010-4655
Container-title:Computer Physics Communications
language:en
Short-container-title:Computer Physics Communications

Author:

Hetherington Ashton,Corrochano Adrián,Abadía-Heredia Rodrigo,Lazpita Eneko,Muñoz Eva,Díaz Paula,Maiora Egoitz,López-Martín Manuel,Le Clainche Soledad^ORCID

Funder

Universidad Politécnica de Madrid

Comunidad de Madrid

Ministerio de Ciencia e Innovación

European Commission

Gobierno de Espana Agencia Estatal de Investigacion

Publisher

Elsevier BV

Reference84 articles.

1. Higher order dynamic mode decomposition;Le Clainche;SIAM J. Appl. Dyn. Syst.,2017

2. Higher order dynamic mode decomposition of noisy experimental data: the flow structure of a zero-net-mass-flux jet;Le Clainche;Exp. Therm. Fluid Sci.,2017

3. Higher Order Dynamic Mode Decomposition and Its Applications;Vega,2020

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