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Journal of Computational Physics
Article
License: Elsevier Non-Commercial
Data sources: UnpayWall
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Journal of Computational Physics
Article . 2016
License: Elsevier Non-Commercial
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Journal of Computational Physics
Article . 2016 . Peer-reviewed
License: Elsevier TDM
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On Galerkin difference methods

Authors: Thomas Hagstrom; Jeffrey W. Banks;

On Galerkin difference methods

Abstract

Energy-stable difference methods for hyperbolic initial-boundary value problems are constructed using a Galerkin framework. The underlying basis functions are Lagrange functions associated with continuous piecewise polynomial approximation on a computational grid. Both theoretical and computational evidence shows that the resulting methods possess excellent dispersion properties. In the absence of boundaries the spectral radii of the operators for the first and second derivative matrices are bounded independent of discretization order. With boundaries the spectral radius of the first order derivative matrix appears to be bounded independent of discretization order, and grows only slowly with discretization order for problems in second-order form.

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Keywords

Physics and Astronomy (miscellaneous), Computer Science Applications

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 10%
hybrid