Random Splitting of Fluid Models: Ergodicity and Convergence
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https://hdl.handle.net/10161/24758Preprint Link
http://arxiv.org/abs/2201.06643v1Publication Info
(2022). Random Splitting of Fluid Models: Ergodicity and Convergence. Preprint version: http://arxiv.org/abs/2201.06643v1. Retrieved from https://hdl.handle.net/10161/24758.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Jonathan Christopher Mattingly
Kimberly J. Jenkins Distinguished University Professor of New Technologies
Jonathan Christopher Mattingly grew up in Charlotte, NC where he attended Irwin Ave
elementary and Charlotte Country Day. He graduated from the NC School of Science
and Mathematics and received a BS is Applied Mathematics with a concentration in physics
from Yale University. After two years abroad with a year spent at ENS Lyon studying
nonlinear and statistical physics on a Rotary Fellowship, he returned to the US to
attend Princeton University where he obtained a PhD in Applied and
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