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arXiv · 1806.10470

Predicting Uncertainty in Geometric Fluid Mechanics

François Gay-Balmaz·Darryl D. Holm
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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.

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François Gay-Balmaz, Darryl D. Holm. 2018-06-26. Predicting Uncertainty in Geometric Fluid Mechanics. https://arxiv.org/abs/1806.10470

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