Numerical anisotropy in finite differencing

Numerical solutions to hyperbolic partial differential equations, involving wave propagations in one direction, are subject to several specific errors, such as numerical dispersion, dissipation or aliasing. In the multi-dimensional case, where the waves propagate in all directions, there is an addit...

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Bibliographic Details
Published inAdvances in difference equations Vol. 2015; no. 1; pp. 1 - 17
Main Author Sescu, Adrian
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 16.01.2015
BioMed Central Ltd
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ISSN1687-1847
1687-1847
DOI10.1186/s13662-014-0343-0

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Summary:Numerical solutions to hyperbolic partial differential equations, involving wave propagations in one direction, are subject to several specific errors, such as numerical dispersion, dissipation or aliasing. In the multi-dimensional case, where the waves propagate in all directions, there is an additional specific error resulting from the discretization of spatial derivatives along the grid lines. Specifically, waves or wave packets in the multi-dimensional case propagate at different phase or group velocities, respectively, along different directions. A commonly used term for the aforementioned multi-dimensional discretization error is the numerical anisotropy or isotropy error. In this review, the numerical anisotropy is briefly described in the context of the wave equation in the multi-dimensional case. Then several important studies that were focused on optimizations of finite difference schemes with the objective of reducing the numerical anisotropy are discussed.
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ISSN:1687-1847
1687-1847
DOI:10.1186/s13662-014-0343-0