Pages that link to "Item:Q2020804"
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The following pages link to Data-driven nonintrusive reduced order modeling for dynamical systems with moving boundaries using Gaussian process regression (Q2020804):
Displaying 7 items.
- Reduced-space Gaussian process regression for data-driven probabilistic forecast of chaotic dynamical systems (Q1691147) (← links)
- Data-driven reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation (Q2059122) (← links)
- Unsteady flow prediction from sparse measurements by compressed sensing reduced order modeling (Q2138820) (← links)
- Sequential Bayesian experimental design for estimation of extreme-event probability in stochastic input-to-response systems (Q2142170) (← links)
- Data-driven model order reduction for problems with parameter-dependent jump-discontinuities (Q2246398) (← links)
- Parametric reduced-order modeling enhancement for a geometrically imperfect component via hyper-reduction (Q2679452) (← links)
- Sparse learning model with embedded RIP conditions for turbulence super-resolution reconstruction (Q6497206) (← links)
