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dc.contributor.authorPobitzer, Armineng
dc.contributor.authorPeikert, Ronaldeng
dc.contributor.authorFuchs, Raphaeleng
dc.contributor.authorSchindler, Benjamineng
dc.contributor.authorKuhn, Alexandereng
dc.contributor.authorTheisel, Holgereng
dc.contributor.authorMatković, Krešimireng
dc.contributor.authorHauser, Helwigeng
dc.date.accessioned2012-06-22T11:50:31Z
dc.date.available2012-06-22T11:50:31Z
dc.date.issued2011eng
dc.PublishedComputer Graphics Forum, 30(6):1789–1811,en
dc.identifier.urihttps://hdl.handle.net/1956/5857
dc.description.abstractVector fields are a common concept for the representation of many different kinds of flow phenomena in science and engineering. Methods based on vector field topology are known for their convenience for visualizing and analyzing steady flows, but a counterpart for unsteady flows is still missing. However, a lot of good and relevant work aiming at such a solution is available. We give an overview of previous research leading towards topologybased and topology-inspired visualization of unsteady flow, pointing out the different approaches and methodologies involved as well as their relation to each other, taking classical (i.e., steady) vector field topology as our starting point. Particularly, we focus on Lagrangian methods, space-time domain approaches, local methods, and stochastic and multi-field approaches. Furthermore, we illustrate our review with practical examples for the different approaches.en_US
dc.language.isoengeng
dc.publisherBlackwell Publishing Ltd.en_US
dc.relation.ispartof<a href="http://hdl.handle.net/1956/5856" target="blank">Interactive Visual Analysis of Time-dependent Flows: Physics- and Statistics-based Semantics</a>en_US
dc.subjectflow visualizationeng
dc.subjecttopologyeng
dc.subjectunsteady floweng
dc.subjectState of the art reporteng
dc.titleThe State of the Art in Topology-based Visualization of Unsteady Flowen_US
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionacceptedVersionen_US
dc.rights.holderCopyright 2011 The Authors. Computer Graphics Forum Copyright 2011 The Eurographics Association and Blackwell Publishing Ltd. All rights reserved.en_US
dc.identifier.doihttps://doi.org/10.1111/j.1467-8659.2011.01901.x
dc.subject.nsiVDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429en_US


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