Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms

DOI10.1016/j.cma.2020.113433zbMath1506.93015arXiv2002.09726OpenAlexW3013279290MaRDI QIDQ2021063

Benjamin Peherstorfer, Boris Kramer, Pawan Goyal, Peter Benner, Karen Willcox

Publication date: 26 April 2021

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2002.09726

zbMATH Keywords

model reductionnonlinear dynamical systemsoperator inferencedata-driven modelingscientific machine learning

Mathematics Subject Classification ID

Control/observation systems governed by partial differential equations (93C20) Linear systems in control theory (93C05) System structure simplification (93B11) Time series analysis of dynamical systems (37M10) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65M99) Semilinear parabolic equations (35K58) Singular parabolic equations (35K67)

Related Items (28)

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Uses Software

• Loewner
• SINDy

Cites Work

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