Open AccessNumerical efficacy study of data assimilation for the 2D magnetohydrodynamic equations
Author(s) -
Joshua Hudson,
Michael S. Jolly
Publication year - 2019
Publication title -
journal of computational dynamics
Language(s) - English
Resource type - Journals
eISSN - 2158-2505
pISSN - 2158-2491
DOI - 10.3934/jcd.2019006
Subject(s) - data assimilation , magnetohydrodynamic drive , nonlinear system , computer science , mathematics , exponential function , chaotic , algorithm , magnetohydrodynamics , mathematical analysis , physics , artificial intelligence , magnetic field , quantum mechanics , meteorology