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Graphical Models
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Graphical Models
Article
Data sources: UnpayWall
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Graphical Models
Article . 2015 . Peer-reviewed
DBLP
Article . 2015
Data sources: DBLP
http://dx.doi.org/10.1016/j.gm...
Article
License: Elsevier TDM
Data sources: Sygma
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Stretch-minimising stream surfaces

Authors: Michael Barton; Jirí Kosinka; Victor M. Calo;

Stretch-minimising stream surfaces

Abstract

Display Omitted We study the problem of finding stretch-minimising stream surfaces in a divergence-free vector field. These surfaces are generated by motions of seed curves that propagate through the field in a stretch minimising manner, i.e., they move without stretching or shrinking, preserving the length of their arbitrary arc. In general fields, such curves may not exist. However, the divergence-free constraint gives rise to these 'stretch-free' curves that are locally arc-length preserving when infinitesimally propagated. Several families of stretch-free curves are identified and used as initial guesses for stream surface generation. These surfaces are subsequently globally optimised to obtain the best stretch-minimising stream surfaces in a given divergence-free vector field.Our algorithm was tested on benchmark datasets, proving its applicability to incompressible fluid flow simulations, where our stretch-minimising stream surfaces realistically reflect the flow of a flexible univariate object.

Countries
Australia, Saudi Arabia
Keywords

Stream surface, Flow visualisation, Divergence-free vector field, 516, Arc-length preservation, 510, 004

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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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!
8
Top 10%
Average
Average
Green
gold