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Mathematics of Computation
Article . 1982 . Peer-reviewed
Data sources: Crossref
Mathematics of Computation
Article . 1982 . Peer-reviewed
Data sources: Crossref
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Vortex Methods. I: Convergence in Three Dimensions

Vortex methods. I: Convergence in three dimensions
Authors: Beale, J. Thomas; Majda, Andrew;

Vortex Methods. I: Convergence in Three Dimensions

Abstract

Recently several different approaches have been developed for the simulation of three-dimensional incompressible fluid flows using vortex methods. Some versions use detailed tracking of vortex filament structures and often local curvatures of these filaments, while other methods require only crude information, such as the vortex blobs of the two-dimensional case. Can such "crude" algorithms accurately account for vortex stretching and converge? We answer this question affirmatively by constructing a new class of "crude" three-dimensional vortex methods and then proving that these methods are stable and convergent, and can even have arbitrarily high order accuracy without being more expensive than other "crude" versions of the vortex algorithm.

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Keywords

convergence, detailed tracking of vortex filament structures, incompressible, vortex methods, three-dimensional, Basic methods in fluid mechanics, Vortex flows for incompressible inviscid fluids, Probabilistic models, generic numerical methods in probability and statistics

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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!
40
Top 10%
Top 1%
Average
bronze
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