Overview
- Covers the full range of cutting-edge research in the sector
- Features work by the most prominent and respected researchers
- Addresses key issues such as representing big data
- Contains papers on the latest developments including fast homology computation
Part of the book series: Mathematics and Visualization (MATHVISUAL)
Included in the following conference series:
Conference proceedings info: TopoInVis 2017.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (16 papers)
-
Front Matter
-
Scalar Topology
-
Front Matter
-
-
Other Forms of Topology
-
Front Matter
-
Other volumes
-
Topological Methods in Data Analysis and Visualization V
Keywords
About this book
This collection of peer-reviewed workshop papers provides comprehensive coverage of cutting-edge research into topological approaches to data analysis and visualization. It encompasses the full range of new algorithms and insights, including fast homology computation, comparative analysis of simplification techniques, and key applications in materials and medical science. The book also addresses core research challenges such as the representation of large and complex datasets, and integrating numerical methods with robust combinatorial algorithms.
In keeping with the focus of the TopoInVis 2017 Workshop, the contributions reflect the latest advances in finding experimental solutions to open problems in the sector. They provide an essential snapshot of state-of-the-art research, helping researchers to keep abreast of the latest developments and providing a basis for future work. Gathering papers by some of the world’s leading experts on topological techniques, thebook represents a valuable contribution to a field of growing importance, with applications in disciplines ranging from engineering to medicine.
Editors and Affiliations
Bibliographic Information
Book Title: Topological Methods in Data Analysis and Visualization V
Book Subtitle: Theory, Algorithms, and Applications
Editors: Hamish Carr, Issei Fujishiro, Filip Sadlo, Shigeo Takahashi
Series Title: Mathematics and Visualization
DOI: https://doi.org/10.1007/978-3-030-43036-8
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-43035-1Published: 11 December 2020
Softcover ISBN: 978-3-030-43038-2Published: 12 December 2021
eBook ISBN: 978-3-030-43036-8Published: 10 December 2020
Series ISSN: 1612-3786
Series E-ISSN: 2197-666X
Edition Number: 1
Number of Pages: X, 270
Number of Illustrations: 23 b/w illustrations, 109 illustrations in colour
Topics: Visualization, Dynamical Systems and Ergodic Theory, Math Applications in Computer Science, Manifolds and Cell Complexes (incl. Diff.Topology), Geometry