Low-order modelling of shallow water equations for sensitivity analysis using proper orthogonal decomposition
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Publication:5070382
DOI10.1080/10618562.2012.715153OpenAlexW1991386772MaRDI QIDQ5070382
Azzeddine Soulaimani, Jean-Marie Zokagoa
Publication date: 11 April 2022
Published in: International Journal of Computational Fluid Dynamics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10618562.2012.715153
sensitivity analysisproper orthogonal decompositionreduced-order modellingshallow water equations (SWEs)flood flows
Related Items (3)
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Cites Work
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- Boundary feedback control of the Burgers equations by a reduced-order approach using centroidal Voronoi tessellations
- Modeling of wetting-drying transitions in free surface flows over complex topographies
- Reduced-order models for parameter dependent geometries based on shape sensitivity analysis
- Reduced-order modeling of the upper tropical Pacific ocean model using proper orthogonal decomposition
- Proper orthogonal decomposition approach and error estimation of mixed finite element methods for the tropical Pacific Ocean reduced gravity model
- Equation-free/Galerkin-free POD-assisted computation of incompressible flows
- Krylov subspace techniques for reduced-order modeling of large-scale dynamical systems
- POD and CVT-based reduced-order modeling of Navier-Stokes flows
- Some exact solutions to the nonlinear shallow-water wave equations
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