A spectral boundary-constraining method for Gaussian processes is extended to incompressible flow reconstruction, giving divergence-free, slip-condition-satisfying priors that need no profile-boundary observations.
Forward–backward stochastic differential systems associated to Navier–Stokes equations in the whole space.Stochastic Processes and their Applications, 125(7):2516–2561, 2015
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Physics-informed, boundary-constrained Gaussian process regression for the reconstruction of fluid flow fields
A spectral boundary-constraining method for Gaussian processes is extended to incompressible flow reconstruction, giving divergence-free, slip-condition-satisfying priors that need no profile-boundary observations.