Pages that link to "Item:Q2243373"
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The following pages link to Efficient uncertainty quantification of CFD problems by combination of proper orthogonal decomposition and compressed sensing (Q2243373):
Displaying 7 items.
- An efficient non-intrusive reduced basis model for high dimensional stochastic problems in CFD (Q1647089) (← links)
- Efficient uncertainty quantification of stochastic CFD problems using sparse polynomial chaos and compressed sensing (Q1648406) (← links)
- Probabilistic CFD analysis on the flow field and performance of the FDA centrifugal blood pump (Q2109726) (← links)
- Efficient uncertainty quantification of stochastic problems in CFD by combination of compressed sensing and POD-kriging (Q2156798) (← links)
- Proper orthogonal decomposition and physical field reconstruction with artificial neural networks (ANN) for supercritical flow problems (Q2161608) (← links)
- Proper orthogonal decompositions in multifidelity uncertainty quantification of complex simulation models (Q2875310) (← links)
- Non-intrusive reduced-order model for time-dependent stochastic partial differential equations utilizing dynamic mode decomposition and polynomial chaos expansion (Q6592584) (← links)
