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00000nam a22000005i 4500 |
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|a 9783540886068
|9 978-3-540-88606-8
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|a 10.1007/978-3-540-88606-8
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|a 001.4226
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|a Topology-Based Methods in Visualization II
|h [electronic resource] /
|c edited by Hans-Christian Hege, Konrad Polthier, Gerik Scheuermann.
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|a 1st ed. 2009.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2009.
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|a VIII, 190 p. 89 illus., 78 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|a online resource
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|a text file
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|a Mathematics and Visualization,
|x 2197-666X
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|a Visualization of Coherent Structures in Transient 2D Flows -- Visualizing Lagrangian Coherent Structures and Comparison to Vector Field Topology -- Extraction of Separation Manifolds using Topological Structures in Flow Cross Sections -- Topology Based Selection and Curation of Level Sets -- Representing Interpolant Topology for Contour Tree Computation -- Path Line Attributes - an Information Visualization Approach to Analyzing the Dynamic Behavior of 3D Time-Dependent Flow Fields -- Flow Structure based 3D Streamline Placement -- Critical Points of the Electric Field from a Collection of Point Charges -- Visualizing global manifolds during the transition to chaos in the Lorenz system -- Streamline and Vortex Line Analysis of the Vortex Breakdown in a Confined Cylinder Flow -- Flow Topology Beyond Skeletons: Visualization of Features in Recirculating Flow -- Bringing Topology-Based Flow Visualization to the Application Domain -- Computing Center-Lines: An Application of Vector Field Topology.
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|a Visualization research aims at providing insights into large, complex bodies of data. Topological methods are distinguished by their solid mathematical foundation, guiding the algorithmic analysis and its presentation among the various visualization techniques. This book contains 13 peer-reviewed papers resulting from the second workshop on "Topology-Based Methods in Visualization", held 2007 in Grimma near Leipzig, Germany. All articles present original, unpublished work from leading experts. Together, these articles present the state of the art of topology-based visualization research.
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|a Information visualization.
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|a Topology.
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|a Geometry.
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|a Computer graphics.
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|a Mechanical engineering.
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|a Computational intelligence.
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|a Data and Information Visualization.
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|a Topology.
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|a Geometry.
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|a Computer Graphics.
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|a Mechanical Engineering.
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|a Computational Intelligence.
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|a Hege, Hans-Christian.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Polthier, Konrad.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Scheuermann, Gerik.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783540886273
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|i Printed edition:
|z 9783540886051
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776 |
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|i Printed edition:
|z 9783662502365
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830 |
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|a Mathematics and Visualization,
|x 2197-666X
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|u https://doi.uam.elogim.com/10.1007/978-3-540-88606-8
|z Texto Completo
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|a ZDB-2-SMA
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|a ZDB-2-SXMS
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|a Mathematics and Statistics (SpringerNature-11649)
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950 |
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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