Pages that link to "Item:Q2020779"
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The following pages link to A fully adaptive nonintrusive reduced-order modelling approach for parametrized time-dependent problems (Q2020779):
Displaying 12 items.
- Non-intrusive data-driven model reduction for differential-algebraic equations derived from lifting transformations (Q2072439) (← links)
- A non-intrusive model order reduction approach for parameterized time-domain Maxwell's equations (Q2083308) (← links)
- Unsteady flow prediction from sparse measurements by compressed sensing reduced order modeling (Q2138820) (← links)
- A nonintrusive reduced order modelling approach using proper orthogonal decomposition and locally adaptive sparse grids (Q2222606) (← links)
- Non-intrusive reduced-order modeling for uncertainty quantification of space-time-dependent parameterized problems (Q2656003) (← links)
- Enhanced model-order reduction approach via online adaptation for parametrized nonlinear structural problems (Q2665037) (← links)
- Nonintrusive reduced-order modeling of parametrized time-dependent partial differential equations (Q2857467) (← links)
- Adaptive Dimensionality-Reduction for Time-Stepping in Differential and Partial Differential Equations (Q3176049) (← links)
- An efficient reduced-order modeling approach for non-linear parametrized partial differential equations (Q3619763) (← links)
- A data-driven surrogate modeling approach for time-dependent incompressible Navier-Stokes equations with dynamic mode decomposition and manifold interpolation (Q6038828) (← links)
- Data assimilation predictive GAN (DA-PredGAN) applied to a spatio-temporal compartmental model in epidemiology (Q6101833) (← links)
- An Adaptive Non-Intrusive Multi-Fidelity Reduced Basis Method for Parameterized Partial Differential Equations (Q6110109) (← links)