Data for the publication: Efficient low-rank model order reduction of vibroacoustic problems under stochastic loads

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1. Verfasser: Hüpel, Yannik
Format: Recurso digital
Sprache:Englisch
Veröffentlicht: Zenodo 2025
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author Hüpel, Yannik
author_facet Hüpel, Yannik
contents <p>This dataset serves complimentary to the publication: Efficient low-rank model order reduction of<br>vibroacoustic problems under stochastic loads. <br>The README.txt explains important details about the codes and data found in this dataset. Due to prohibitive dataset size only some example files for the FEM procedure are given. The combination of low-rank and MOR approach is implemented in Matlab and the codes and relevant data can be found in this dataset.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_14625858
institution Zenodo
language eng
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Data for the publication: Efficient low-rank model order reduction of vibroacoustic problems under stochastic loads
Hüpel, Yannik
Vibroacoustics
Model Order Reduction
Low-rank approximation
Turbulent Boundary Layer
<p>This dataset serves complimentary to the publication: Efficient low-rank model order reduction of<br>vibroacoustic problems under stochastic loads. <br>The README.txt explains important details about the codes and data found in this dataset. Due to prohibitive dataset size only some example files for the FEM procedure are given. The combination of low-rank and MOR approach is implemented in Matlab and the codes and relevant data can be found in this dataset.</p>
title Data for the publication: Efficient low-rank model order reduction of vibroacoustic problems under stochastic loads
topic Vibroacoustics
Model Order Reduction
Low-rank approximation
Turbulent Boundary Layer
url https://doi.org/10.5281/zenodo.14625858