Data-driven eigensolution analysis based on a spatio-temporal Koopman decomposition, with applications to high-order methods
DOI10.1016/j.jcp.2021.110798OpenAlexW3213863552MaRDI QIDQ2136484
Jiaqing Kou, Soledad Le Clainche, Esteban Ferrer
Publication date: 10 May 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jcp.2021.110798
flux reconstructiondata-driven methodsdispersion-diffusion analysisKoopman analysisspectral/hp methodseigensolution analysis
Basic methods in fluid mechanics (76Mxx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Hyperbolic equations and hyperbolic systems (35Lxx)
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Cites Work
- A new class of high-order energy stable flux reconstruction schemes
- Insights from von Neumann analysis of high-order flux reconstruction schemes
- Spatial eigensolution analysis of discontinuous Galerkin schemes with practical insights for under-resolved computations and implicit LES
- Eigensolution analysis of spectral/\(hp\) continuous Galerkin approximations to advection-diffusion problems: insights into spectral vanishing viscosity
- On the spectral properties of shock-capturing schemes
- An analysis of the discontinuous Galerkin method for wave propagation problems
- Spatio-temporal Koopman decomposition
- An improved criterion to select dominant modes from dynamic mode decomposition
- Spatial eigensolution analysis of energy-stable flux reconstruction schemes and influence of the numerical flux on accuracy and robustness
- Design of a Smagorinsky spectral vanishing viscosity turbulence model for discontinuous Galerkin methods
- Spatial eigenanalysis of spectral/\textit{hp} continuous Galerkin schemes and their stabilisation via DG-mimicking spectral vanishing viscosity for high Reynolds number flows
- Fourier analysis and evaluation of DG, FD and compact difference methods for conservation laws
- Linear dispersion-diffusion analysis and its application to under-resolved turbulence simulations using discontinuous Galerkin spectral/\(hp\) methods
- On the connections between discontinuous Galerkin and flux reconstruction schemes: extension to curvilinear meshes
- Dynamic mode decomposition of numerical and experimental data
- Dispersion-Dissipation Analysis for Advection Problems with Nonconstant Coefficients: Applications to Discontinuous Galerkin Formulations
- Connections between the discontinuous Galerkin method and high‐order flux reconstruction schemes
- A Combined-Mode Fourier Analysis of DG Methods for Linear Parabolic Problems
- Higher Order Dynamic Mode Decomposition
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