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    Moving mesh strategy based upon a gradient flow equation for two dimensional problems

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    HuangW_SJoSC_20(3)998.pdf (805.5Kb)
    Issue Date
    1999-07-01
    Author
    Huang, Weizhang
    Russell, Robert D.
    Publisher
    Society for Industrial and Applied Mathematics
    Type
    Article
    Article Version
    Scholarly/refereed, publisher version
    Metadata
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    Abstract
    In this paper we introduce a moving mesh method for solving PDEs in two dimensions. It can be viewed as a higher-dimensional generalization of the moving mesh PDE (MMPDE) strategy developed in our previous work for one-dimensional problems [W. Huang, Y. Ren, and R. D. Russell, SIAM J. Numer. Anal., 31 (1994), pp. 709--730]. The MMPDE is derived from a gradient flow equation which arises using a mesh adaptation functional in turn motivated from the theory of harmonic maps. Geometrical interpretations are given for the gradient equation and functional, and basic properties of this MMPDE are discussed. Numerical examples are presented where the method is used both for mesh generation and for solving time-dependent PDEs. The results demonstrate the potential of the mesh movement strategy to concentrate the mesh points so as to adapt to special problem features and to also preserve a suitable level of mesh orthogonality.
    Description
    This is the published version, also available here: http://dx.doi.org/10.1137/S1064827596315242.
    URI
    http://hdl.handle.net/1808/16878
    DOI
    https://doi.org/10.1137/S1064827596315242
    Collections
    • Mathematics Scholarly Works [282]
    Citation
    Huang, Weizhang & Russell, Robert D. "Moving mesh strategy based upon a gradient flow equation for two dimensional problems." SIAM J. Sci. Comput., 20(3), 998–1015. (18 pages). http://dx.doi.org/10.1137/S1064827596315242.

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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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