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Predicting Uncertainty in Geometric Fluid Mechanics

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 نشر من قبل Fran\\c{c}ois Gay-Balmaz
 تاريخ النشر 2018
  مجال البحث فيزياء
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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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