Pages that link to "Item:Q401582"
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The following pages link to The GNAT method for nonlinear model reduction: effective implementation and application to computational fluid dynamics and turbulent flows (Q401582):
Displaying 50 items.
- A hybrid reduced order method for modelling turbulent heat transfer problems (Q2664048) (← links)
- Structure-preserving reduced-order modeling of Korteweg-de Vries equation (Q2664789) (← links)
- Enhanced model-order reduction approach via online adaptation for parametrized nonlinear structural problems (Q2665037) (← links)
- A non-intrusive space-time interpolation from compact Stiefel manifolds of parametrized rigid-viscoplastic FEM problems (Q2667296) (← links)
- A reduced order modeling method based on GNAT-embedded hybrid snapshot simulation (Q2672356) (← links)
- Quadratic approximation manifold for mitigating the Kolmogorov barrier in nonlinear projection-based model order reduction (Q2672789) (← links)
- Robust and globally efficient reduction of parametric, highly nonlinear computational models and real time online performance (Q2674110) (← links)
- A one-shot overlapping Schwarz method for component-based model reduction: application to nonlinear elasticity (Q2678518) (← links)
- Reprint of: Robust and globally efficient reduction of parametric, highly nonlinear computational models and real time online performance (Q2679338) (← links)
- Parametric reduced-order modeling enhancement for a geometrically imperfect component via hyper-reduction (Q2679452) (← links)
- Projection based semi-implicit partitioned reduced basis method for fluid-structure interaction problems (Q2680321) (← links)
- Model reduction for the material point method via an implicit neural representation of the deformation map (Q2687512) (← links)
- Nonintrusive proper generalised decomposition for parametrised incompressible flow problems in OpenFOAM (Q2698844) (← links)
- Reduced order modeling for parametrized generalized Newtonian fluid flows (Q2699383) (← links)
- A new selection operator for the discrete empirical interpolation method -- improved a priori error bound and extensions (Q2790080) (← links)
- Energy stable model reduction of neurons by nonnegative discrete empirical interpolation (Q2800440) (← links)
- A survey of projection-based model reduction methods for parametric dynamical systems (Q2808259) (← links)
- Krylov-subspace recycling via the POD-augmented conjugate-gradient method (Q2827063) (← links)
- Structure-preserving model reduction for nonlinear port-Hamiltonian systems (Q2830571) (← links)
- The ROMES Method for Statistical Modeling of Reduced-Order-Model Error (Q2945141) (← links)
- Proper orthogonal decomposition-based model order reduction via radial basis functions for molecular dynamics systems (Q2952381) (← links)
- Dimensional reduction of nonlinear finite element dynamic models with finite rotations and energy-based mesh sampling and weighting for computational efficiency (Q2952487) (← links)
- Structure-preserving, stability, and accuracy properties of the energy-conserving sampling and weighting method for the hyper reduction of nonlinear finite element dynamic models (Q2952713) (← links)
- Progressive construction of a parametric reduced‐order model for PDE‐constrained optimization (Q2952714) (← links)
- Supremizer stabilization of POD-Galerkin approximation of parametrized steady incompressible Navier-Stokes equations (Q2952715) (← links)
- Adaptive<i>h</i>-refinement for reduced-order models (Q2952718) (← links)
- <i>A posteriori</i>error estimators for linear reduced-order models using Krylov-based integrators (Q2952720) (← links)
- An adaptive and efficient greedy procedure for the optimal training of parametric reduced-order models (Q2952722) (← links)
- Adaptive training of local reduced bases for unsteady incompressible Navier-Stokes flows (Q2952765) (← links)
- Nonlinear model reduction via a locally weighted POD method (Q2952890) (← links)
- POD-based model reduction with empirical interpolation applied to nonlinear elasticity (Q2952957) (← links)
- (Q3385417) (← links)
- Data-Driven Discovery of Closure Models (Q4562411) (← links)
- Online Interpolation Point Refinement for Reduced-Order Models using a Genetic Algorithm (Q4603498) (← links)
- Stochastic Least-Squares Petrov--Galerkin Method for Parameterized Linear Systems (Q4636377) (← links)
- Leveraging Sparsity and Compressive Sensing for Reduced Order Modeling (Q4637167) (← links)
- Space--Time Least-Squares Petrov--Galerkin Projection for Nonlinear Model Reduction (Q4646450) (← links)
- Reduced-order modelling of parameter-dependent, linear and nonlinear dynamic partial differential equation models (Q4647181) (← links)
- A Posteriori Error Estimation in Model Order Reduction of Elastic Multibody Systems with Large Rigid Motion (Q4973307) (← links)
- A Reduced Order Approach for the Embedded Shifted Boundary FEM and a Heat Exchange System on Parametrized Geometries (Q4973308) (← links)
- Sparsity-promoting algorithms for the discovery of informative Koopman-invariant subspaces (Q4987934) (← links)
- 6 Model reduction in computational aerodynamics (Q4993247) (← links)
- A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data Using Unstructured Spatial Discretizations (Q5005016) (← links)
- Space-time registration-based model reduction of parameterized one-dimensional hyperbolic PDEs (Q5006302) (← links)
- Structure-Preserving Reduced- Order Modeling of Non-Traditional Shallow Water Equation (Q5014032) (← links)
- Application of physics-constrained data-driven reduced-order models to shape optimization (Q5022975) (← links)
- Fourier Collocation and Reduced Basis Methods for Fast Modeling of Compressible Flows (Q5042004) (← links)
- Fast $L^2$ Optimal Mass Transport via Reduced Basis Methods for the Monge--Ampère Equation (Q5048577) (← links)
- (Q5061863) (← links)
- Interpolation-based reduced-order modelling for steady transonic flows via manifold learning (Q5071728) (← links)