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Compression of magnetohydrodynamic simulation data using singular value decomposition

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Publication:870619
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DOI10.1016/j.jcp.2006.07.022zbMath1129.76043OpenAlexW2051515868MaRDI QIDQ870619

D. A. Spong, Diego del-Castillo-Negrete, Eduardo F. D'Azevedo, Steven P. Hirshman

Publication date: 13 March 2007

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2006.07.022


zbMATH Keywords

generalized low rank approximationelectron orbitsPoincaré plots


Mathematics Subject Classification ID

Magnetohydrodynamics and electrohydrodynamics (76W05) Basic methods in fluid mechanics (76M99)


Related Items

Extracting energetically dominant flow features in a complicated fish wake using singular-value decomposition ⋮ Compression of tokamak boundary plasma simulation data using a maximum volume algorithm for matrix skeleton decomposition ⋮ Analysis and compression of six-dimensional gyrokinetic datasets using higher order singular value decomposition


Uses Software

  • NIMROD


Cites Work

  • Unnamed Item
  • Unnamed Item
  • Turbulence, Coherent Structures, Dynamical Systems and Symmetry
  • A Multilinear Singular Value Decomposition
  • Generalized low rank approximations of matrices
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