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  Full State Approximation by Galerkin Projection Reduced Order Models for Stochastic and Bilinear Systems

Redmann, M., & Pontes Duff, I. (2022). Full State Approximation by Galerkin Projection Reduced Order Models for Stochastic and Bilinear Systems. Applied Mathematics and Computation, 420: 126561. doi:10.1016/j.amc.2021.126561.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-18C8-C Version Permalink: https://hdl.handle.net/21.11116/0000-000A-9544-1
Genre: Journal Article

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 Creators:
Redmann, Martin1, Author
Pontes Duff, Igor2, Author           
Affiliations:
1Martin Luther University Halle-Wittenberg, ou_persistent22              
2Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              

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 Dates: 2021-02-152022
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: arXiv: 2102.07534
DOI: 10.1016/j.amc.2021.126561
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Title: Applied Mathematics and Computation
Source Genre: Journal
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Pages: - Volume / Issue: 420 Sequence Number: 126561 Start / End Page: - Identifier: -