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03564nam a22005415i 4500 |
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|a 9783642231759
|9 978-3-642-23175-9
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|a 10.1007/978-3-642-23175-9
|2 doi
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|a MAT013000
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|a Topological Methods in Data Analysis and Visualization II
|h [electronic resource] :
|b Theory, Algorithms, and Applications /
|c edited by Ronald Peikert, Helwig Hauser, Hamish Carr, Raphael Fuchs.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2012.
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|a XI, 299 p. 200 illus., 106 illus. in color.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Mathematics and Visualization,
|x 1612-3786
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|a Part I: Discrete Morse Theory.- Part II: Hierarchical Methods for Extracting and Visualizing Topological Structures -- Part III: Visualization of Dynamical Systems, Vector and Tensor Fields -- Part IV: Topological Visualization of Unsteady Flow.
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|a When scientists analyze datasets in a search for underlying phenomena, patterns or causal factors, their first step is often an automatic or semi-automatic search for structures in the data. Of these feature-extraction methods, topological ones stand out due to their solid mathematical foundation. Topologically defined structures—as found in scalar, vector and tensor fields—have proven their merit in a wide range of scientific domains, and scientists have found them to be revealing in subjects such as physics, engineering, and medicine. Full of state-of-the-art research and contemporary hot topics in the subject, this volume is a selection of peer-reviewed papers originally presented at the fourth Workshop on Topology-Based Methods in Data Analysis and Visualization, TopoInVis 2011, held in Zurich, Switzerland. The workshop brought together many of the leading lights in the field for a mixture of formal presentations and discussion. One topic currently generating a great deal of interest, and explored in several chapters here, is the search for topological structures in time-dependent flows, and their relationship with Lagrangian coherent structures. Contributors also focus on discrete topologies of scalar and vector fields, and on persistence-based simplification, among other issues of note. The new research results included in this volume relate to all three key areas in data analysis—theory, algorithms and applications.
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|a Mathematics.
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|a Computers.
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|a Computer graphics.
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|a Algorithms.
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|a Visualization.
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|a Mathematics.
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|a Visualization.
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|a Algorithms.
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|a Computing Methodologies.
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|a Computer Graphics.
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|a Peikert, Ronald.
|e editor.
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|a Hauser, Helwig.
|e editor.
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|a Carr, Hamish.
|e editor.
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|a Fuchs, Raphael.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783642231742
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|a Mathematics and Visualization,
|x 1612-3786
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|u http://dx.doi.org/10.1007/978-3-642-23175-9
|z Full Text via HEAL-Link
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|a ZDB-2-SMA
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|a Mathematics and Statistics (Springer-11649)
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