Pages that link to "Item:Q2952715"
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The following pages link to Supremizer stabilization of POD-Galerkin approximation of parametrized steady incompressible Navier-Stokes equations (Q2952715):
Displaying 23 items.
- Data-driven reduced order modelling for patient-specific hemodynamics of coronary artery bypass grafts with physical and geometrical parameters (Q6101879) (← links)
- An Adaptive Non-Intrusive Multi-Fidelity Reduced Basis Method for Parameterized Partial Differential Equations (Q6110109) (← links)
- An optimisation-based domain-decomposition reduced order model for the incompressible Navier-Stokes equations (Q6143644) (← links)
- An incremental singular value decomposition approach for large-scale spatially parallel \& distributed but temporally serial data -- applied to technical flows (Q6151883) (← links)
- An artificial neural network approach to bifurcating phenomena in computational fluid dynamics (Q6158472) (← links)
- Uniform bounds with difference quotients for proper orthogonal decomposition reduced order models of the Burgers equation (Q6159307) (← links)
- Reduced basis modelling of turbulence with well-developed inertial range (Q6185245) (← links)
- Space-Time Reduced Basis Methods for Parametrized Unsteady Stokes Equations (Q6194969) (← links)
- Projection-based reduced order modeling of an iterative scheme for linear thermo-poroelasticity (Q6197612) (← links)
- Structure-preserving model order reduction of Hamiltonian systems (Q6200204) (← links)
- Fluid structure interaction by means of variational multiscale reduced order models (Q6496290) (← links)
- Projection-based reduced order modeling and data-driven artificial viscosity closures for incompressible fluid flows (Q6497167) (← links)
- An optimisation-based domain-decomposition reduced order model for parameter-dependent non-stationary fluid dynamics problems (Q6549892) (← links)
- A probabilistic framework for multidisciplinary design: application to the hydrostructural optimization of supercavitating hydrofoils (Q6555245) (← links)
- Randomized dynamic mode decomposition for nonintrusive reduced order modelling (Q6557432) (← links)
- Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models (Q6581233) (← links)
- Projection-based reduced-order modelling of time-periodic problems, with application to flow past flapping hydrofoils (Q6588322) (← links)
- Reduced order modeling for a Schur complement method for fluid-structure interaction (Q6614987) (← links)
- Least-squares pressure recovery in reduced order methods for incompressible flows (Q6639316) (← links)
- GFN: a graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications (Q6643617) (← links)
- Parametric model reduction with convolutional neural networks (Q6648521) (← links)
- POD-ROMs for incompressible flows including snapshots of the temporal derivative of the full order solution: error bounds for the pressure (Q6652805) (← links)
- A time-relaxation reduced order model for the turbulent channel flow (Q6670736) (← links)
