Layer methods for stochastic Navier–Stokes equations using simplest characteristics

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Layer methods for stochastic Navier–Stokes equations using simplest characteristics

We propose and study a layer method for stochastic Navier-Stokes equations (SNSE) with spatial periodic boundary conditions and additive noise. The method is constructed using conditional probabilistic representations of solutions to SNSE and exploiting ideas of the weak sense numerical integration...

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Bibliographic Details
Main Authors:	Milstein, G.N., Tretyakov, M.V.
Format:	Article
Published:	Elsevier 2016
Subjects:	Navier-Stokes Equations Oseen-Stokes Equations Helmholtz-Hodge-Leray Decomposition Stochastic Partial Differential Equations Conditional Feynman-Kac Formula Weak Approximation of Stochastic Differential Equations and Layer Mathods
Online Access:	https://eprints.nottingham.ac.uk/32272/

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