Greedy identification of latent dynamics from parametric flow data
DOI10.1016/j.cma.2024.117332MaRDI QIDQ6641863
A. S. A. Ammar, Rama Ayoub, Mourad Oulghelou
Publication date: 21 November 2024
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
proper orthogonal decomposition (POD)model regressionsubspaces interpolationdata driven parametric reduced order models
Spectral methods applied to problems in fluid mechanics (76M22) Spectral, collocation and related methods for initial value and initial-boundary value problems involving PDEs (65M70) Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs (65M32)
Cites Work
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- Data-Driven Science and Engineering
- Dynamic Mode Decomposition and Its Variants
- Constrained sparse Galerkin regression
- Parametric reduced order models based on a Riemannian barycentric interpolation
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