An approximation method for Navier-Stokes equations based on probabilistic approach
A new layer method solving the space-periodic problem for the Navier-Stokes equations is constructed by using probabilistic representations of their solutions. The method exploits the ideas of weak sense numerical integration of stochastic differential equations. Despite its probabilistic nature this method is nevertheless deterministic. A convergence theorem is proved.
| Year of publication: |
2003
|
|---|---|
| Authors: | Belopolskaya, Ya. ; Milstein, G. N. |
| Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 64.2003, 2, p. 201-211
|
| Publisher: |
Elsevier |
| Keywords: | Numerical analysis of Navier-Stokes equations Probabilistic representations for equations of mathematical physics Weak approximation of solutions of stochastic differential equations |
Saved in:
Saved in favorites
Similar items by person
-
Maximum likelihood estimation of a nonparametric signal in white noise by optimal control
Milstein, G. N., (2001)
-
Simulation based option pricing
Belomestny, Denis, (2009)
-
Sensitivities for Bermudan options by regression methods
Belomestny, Denis, (2007)
- More ...