Hierarchical higher-order dynamic mode decomposition for clustering and feature selection
From MaRDI portal
Publication:6150029
DOI10.1016/j.camwa.2024.01.003arXiv2301.07976WikidataQ129390280 ScholiaQ129390280MaRDI QIDQ6150029
Soledad Le Clainche, Adrián Corrochano, Alessandro Parente, Giuseppe D'Alessio
Publication date: 5 March 2024
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2301.07976
Cites Work
- A reduced basis approach for PDEs on parametrized geometries based on the shifted boundary finite element method and application to a Stokes flow
- POD-Galerkin method for finite volume approximation of Navier-Stokes and RANS equations
- Coupled and uncoupled dynamic mode decomposition in multi-compartmental systems with applications to epidemiological and additive manufacturing problems
- Dynamic mode decomposition of numerical and experimental data
- High-performance computing in computational fluid dynamics: progress and challenges
- Explicit reduced‐order models for the stabilized finite element approximation of the incompressible Navier–Stokes equations
- Centering Data Improves the Dynamic Mode Decomposition
- Coherent structures in the turbulent channel flow of an elastoviscoplastic fluid
- Higher Order Dynamic Mode Decomposition
- Linear Reduced-Order Model Predictive Control
