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Analysis of errors in MLPG methods

Authors: Roman Trobec;

Analysis of errors in MLPG methods

Abstract

The locality of meshless methods for the numerical solution of partial differential equations is achieved by the moving least squares (MLS) approximation. We analyzed experimentally the errors in the MLS approximation and in the meshless local Petrov-Galerkin (MLPG) solution method and confirmed that there is only a short interval of MLS support radii that provides acceptable MLPG solutions.

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selected citations
These citations are derived from selected sources.
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!
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