Pages that link to "Item:Q1791460"

The following pages link to Reduced order modelling for unsteady fluid flow using proper orthogonal decomposition and radial basis functions (Q1791460):

Displaying 36 items.

• Data-driven POD-Galerkin reduced order model for turbulent flows (Q781977) (← links)
• A POD-Galerkin reduced order model of a turbulent convective buoyant flow of Sodium over a backward-facing step (Q822069) (← links)
• Parameterised non-intrusive reduced order methods for ensemble Kalman filter data assimilation (Q1626167) (← links)
• An improved criterion to select dominant modes from dynamic mode decomposition (Q1672141) (← links)
• A non-intrusive reduced-order model for compressible fluid and fractured solid coupling and its application to blasting (Q1691739) (← links)
• Multi-fidelity modeling framework for nonlinear unsteady aerodynamics of airfoils (Q1985249) (← links)
• Data-driven nonintrusive reduced order modeling for dynamical systems with moving boundaries using Gaussian process regression (Q2020804) (← links)
• A reduced-order variational multiscale interpolating element free Galerkin technique based on proper orthogonal decomposition for solving Navier-Stokes equations coupled with a heat transfer equation: nonstationary incompressible Boussinesq equations (Q2126976) (← links)
• A greedy non-intrusive reduced order model for shallow water equations (Q2129263) (← links)
• Greedy non-intrusive reduced-order model's application in dynamic blowing and suction flow control to suppress the flow separation (Q2129510) (← links)
• A few techniques to improve data-driven reduced-order simulations for unsteady flows (Q2176856) (← links)
• Global/local model order reduction in coupled flow and linear thermal-poroelasticity (Q2185986) (← links)
• Ensemble algorithm for parametrized flow problems with energy stable open boundary conditions (Q2215533) (← links)
• Parametric non-intrusive model order reduction for flow-fields using unsupervised machine learning (Q2237497) (← links)
• A non-intrusive reduced-order modeling for uncertainty propagation of time-dependent problems using a B-splines Bézier elements-based method and proper orthogonal decomposition: application to dam-break flows (Q2239110) (← links)
• An application of neural networks to the prediction of aerodynamic coefficients of aerofoils and wings (Q2243469) (← links)
• Lossy compression techniques supporting unsteady adjoint on 2D/3D unstructured grids (Q2246378) (← links)
• Weighted proper orthogonal decomposition of the swirling flow exiting the hydraulic turbine runner (Q2290570) (← links)
• A reduced-order model of mould heat transfer in the continuous casting of steel (Q2293497) (← links)
• A model-order reduction method based on wavelets and POD to solve nonlinear transient and steady-state continuation problems (Q2294922) (← links)
• A parameterized non-intrusive reduced order model and error analysis for general time-dependent nonlinear partial differential equations and its applications (Q2309058) (← links)
• Adaptive reduced basis method for the reconstruction of unsteady vortex-dominated flows (Q2313685) (← links)
• Non-intrusive reduced order modelling of fluid-structure interactions (Q2417619) (← links)
• Hierarchical model reduction driven by a proper orthogonal decomposition for parametrized advection-diffusion-reaction problems (Q2672171) (← links)
• Stabilization of generalized empirical interpolation method (GEIM) in presence of noise: a novel approach based on Tikhonov regularization (Q2678500) (← links)
• Hybrid data-driven closure strategies for reduced order modeling (Q2698238) (← links)
• Model order reduction for a flow past a wall-mounted cylinder (Q2815954) (← links)
• Optimal mode decomposition for unsteady flows (Q2878412) (← links)
• A locally parametrized reduced-order model for the linear frequency domain approach to time-accurate computational fluid dynamics (Q2878966) (← links)
• A Nonintrusive Parametrized Reduced-Order Model for Periodic Flows Based on Extended Proper Orthogonal Decomposition (Q3383774) (← links)
• Application of proper orthogonal decomposition to the discrete Euler equations (Q4798133) (← links)
• Reduced basis methods for time-dependent problems (Q5887836) (← links)
• Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression (Q6048987) (← links)
• An incremental singular value decomposition approach for large-scale spatially parallel \& distributed but temporally serial data -- applied to technical flows (Q6151883) (← links)
• Reducing memory requirements of unsteady adjoint by synergistically using check-pointing and compression (Q6537401) (← links)
• Randomized dynamic mode decomposition for nonintrusive reduced order modelling (Q6557432) (← links)