Predicting uncertainty in geometric fluid mechanics.

Autor: Gay-Balmaz, François, Holm, Darryl D.
Předmět:
Zdroj: Discrete & Continuous Dynamical Systems - Series S; Apr2020, Vol. 13 Issue 4, p1229-1242, 14p
Abstrakt: We review opportunities for stochastic geometric mechanics to incorporate observed data into variational principles, in order to derive data-driven nonlinear dynamical models of effects on the variability of computationally resolvable scales of fluid motion, due to unresolvable, small, rapid scales of fluid motion. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index