Description
Topological Methods in Data Analysis and Visualization V, 1st ed. 2020
Theory, Algorithms, and Applications
Mathematics and Visualization Series
Coordinators: Carr Hamish, Fujishiro Issei, Sadlo Filip, Takahashi Shigeo
Language: EnglishSubjects for Topological Methods in Data Analysis and Visualization V:
Publication date: 12-2021
270 p. · 15.5x23.5 cm · Paperback
Publication date: 12-2020
270 p. · 15.5x23.5 cm · Hardback
Description
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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, the book represents a valuable contribution to a field of growing importance, with applications in disciplines ranging from engineering to medicine.
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
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