Sparsity-promoting algorithms for the discovery of informative Koopman-invariant subspaces
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Publication:4987934
DOI10.1017/jfm.2021.271zbMath1496.76112arXiv2002.10637OpenAlexW3008321886MaRDI QIDQ4987934
Shaowu Pan, Karthik Duraisamy, Nicholas Arnold-Medabalimi
Publication date: 11 May 2021
Published in: Journal of Fluid Mechanics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2002.10637
machine learninglow-dimensional modelcylinder wake flowextended/kernel dynamic mode decompositionnonlinear generalized eigen-decompositionturbulent ship-airwake flow
Learning and adaptive systems in artificial intelligence (68T05) Shear flows and turbulence (76F10) Wakes and jets (76D25) Basic methods in fluid mechanics (76M99)
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Nonintrusive Reduced Order Modelling of Convective Boussinesq Flows ⋮ Modern Koopman Theory for Dynamical Systems ⋮ Characterization of energy transfer and triadic interactions of coherent structures in turbulent wakes ⋮ Generalizing dynamic mode decomposition: balancing accuracy and expressiveness in Koopman approximations ⋮ Ensemble forecasts in reproducing kernel Hilbert space family ⋮ Sparsity Structures for Koopman and Perron--Frobenius Operators
Uses Software
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