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

MPS-Authors
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Benner,  Peter
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Goyal,  Pawan Kumar
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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2002.09726.pdf
(Preprint), 618KB

benner_ams_3195406.pdf
(Postprint), 571KB

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Citation

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.


Cite as: https://hdl.handle.net/21.11116/0000-0005-D5CB-6
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