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  Operator Inference for Non-Intrusive Model Reduction of Systems with Non-Polynomial Nonlinear Terms

Benner, P., Goyal, P. K., Kramer, B., Peherstorfer, B., & Willcox, K. (2020). Operator Inference for Non-Intrusive Model Reduction of Systems with Non-Polynomial Nonlinear Terms. Computer Methods in Applied Mechanics and Engineering, 372: 113433, 17 pages. doi:10.1016/j.cma.2020.113433.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0005-D5CB-6 Version Permalink: https://hdl.handle.net/21.11116/0000-000B-3979-E
Genre: Journal Article

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 Creators:
Benner, Peter1, Author           
Goyal, Pawan Kumar1, Author           
Kramer, Boris2, Author
Peherstorfer, Benjamin3, Author
Willcox, Karen4, Author
Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
2University of California San Diego, ou_persistent22              
3Courant Institute of Mathematical Sciences, New York University, ou_persistent22              
4The University of Texas at Austin, ou_persistent22              

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 Dates: 2020-02-222020
 Publication Status: Issued
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 Identifiers: arXiv: 2002.09726
URI: http://arxiv.org/abs/2002.09726
DOI: 10.1016/j.cma.2020.113433
Other: pubdata_escidoc:3195406
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Title: Computer Methods in Applied Mechanics and Engineering
Source Genre: Journal
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Pages: - Volume / Issue: 372 Sequence Number: 113433, 17 pages Start / End Page: - Identifier: -