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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Claim

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

Research datakeyboard_double_arrow_right Dataset 10 Jan 2025 English Publisher:ZenodoFunded by:DFG | unidentified
Authors: Hüpel, Yannik;

doi: 10.5281/zenodo.14625857 , 10.5281/zenodo.14625858

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

Abstract

This dataset serves complimentary to the publication: Efficient low-rank model order reduction ofvibroacoustic problems under stochastic loads. 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.

Related Organizations
Keywords

Vibroacoustics, Turbulent Boundary Layer, Model Order Reduction, Low-rank approximation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average