Overview
- Covers the full range of cutting-edge research in the sector
- Many applications to science and engineering
- Topic with close interaction of mathematics and computer science
- Includes supplementary material: sn.pub/extras
Part of the book series: Mathematics and Visualization (MATHVISUAL)
Included in the following conference series:
Conference proceedings info: TopoInVis 2015.
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About this book
This book presents contributions on topics ranging from novel applications of topological analysis for particular problems, through studies of the effectiveness of modern topological methods, algorithmic improvements on existing methods, and parallel computation of topological structures, all the way to mathematical topologies not previously applied to data analysis.
Topological methods are broadly recognized as valuable tools for analyzing the ever-increasing flood of data generated by simulation or acquisition. This is particularly the case in scientific visualization, where the data sets have long since surpassed the ability of the human mind to absorb every single byte of data.
The biannual TopoInVis workshop has supported researchers in this area for a decade, and continues to serve as a vital forum for the presentation and discussion of novel results in applications in the area, creating a platform to disseminate knowledge about such implementations throughoutand beyond the community.
The present volume, resulting from the 2015 TopoInVis workshop held in Annweiler, Germany, will appeal to researchers in the fields of scientific visualization and mathematics, domain scientists with an interest in advanced visualization methods, and developers of visualization software systems.
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Keywords
Table of contents (21 papers)
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Front Matter
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Topology-Based Analysis of Multi-Variate Data Sets
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Front Matter
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Topological Techniques for High-Dimensional Data
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Front Matter
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Vector and Tensor Field Topology
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Front Matter
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Coherent Structures
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Front Matter
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Other volumes
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Topological Methods in Data Analysis and Visualization IV
Editors and Affiliations
Bibliographic Information
Book Title: Topological Methods in Data Analysis and Visualization IV
Book Subtitle: Theory, Algorithms, and Applications
Editors: Hamish Carr, Christoph Garth, Tino Weinkauf
Series Title: Mathematics and Visualization
DOI: https://doi.org/10.1007/978-3-319-44684-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-44682-0Published: 03 June 2017
Softcover ISBN: 978-3-319-83110-7Published: 29 July 2018
eBook ISBN: 978-3-319-44684-4Published: 01 June 2017
Series ISSN: 1612-3786
Series E-ISSN: 2197-666X
Edition Number: 1
Number of Pages: XI, 363
Number of Illustrations: 24 b/w illustrations, 129 illustrations in colour
Topics: Visualization, Manifolds and Cell Complexes (incl. Diff.Topology), Artificial Intelligence, Computer Graphics