Predicting Uncertainty in Geometric Fluid Mechanics
Chaotic Dynamics
2018-06-28 v1 Fluid Dynamics
Abstract
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.
Cite
@article{arxiv.1806.10470,
title = {Predicting Uncertainty in Geometric Fluid Mechanics},
author = {François Gay-Balmaz and Darryl D. Holm},
journal= {arXiv preprint arXiv:1806.10470},
year = {2018}
}
Comments
arXiv admin note: text overlap with arXiv:1802.05711