Pages that link to "Item:Q2136471"
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The following pages link to Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems (Q2136471):
Displaying 4 items.
- A new class of high-order methods for fluid dynamics simulations using Gaussian process modeling: one-dimensional case (Q1668731) (← links)
- Training a Neural-Network-Based Surrogate Model for Aerodynamic Optimisation Using a Gaussian Process (Q5880409) (← links)
- Efficient prediction of turbulent flow quantities using a Bayesian hierarchical multifidelity model (Q6101048) (← links)
- Gaussian process hydrodynamics (Q6132295) (← links)
