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Topological Methods in Data Analysis and Visualization V = Theory, Algorithms, and Applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Topological Methods in Data Analysis and Visualization V/ edited by Hamish Carr, Issei Fujishiro, Filip Sadlo, Shigeo Takahashi.
Reminder of title:	Theory, Algorithms, and Applications /
other author:	Carr, Hamish.
Description:	X, 270 p. 132 illus., 109 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Mathematics. -
Online resource:	https://doi.org/10.1007/978-3-030-43036-8
ISBN:	9783030430368

Topological Methods in Data Analysis and Visualization V = Theory, Algorithms, and Applications /
Topological Methods in Data Analysis and Visualization VTheory, Algorithms, and Applications /[electronic resource] :edited by Hamish Carr, Issei Fujishiro, Filip Sadlo, Shigeo Takahashi. - 1st ed. 2020. - X, 270 p. 132 illus., 109 illus. in color.online resource. - Mathematics and Visualization,1612-3786. - Mathematics and Visualization,.

Persistence -- Scalar Topology -- Time-Varying Topology -- Multivariate Topology -- Other Forms of Topology.

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.

ISBN: 9783030430368

Standard No.: 10.1007/978-3-030-43036-8doiSubjects--Topical Terms:

527692
Mathematics.

LC Class. No.: QA76.9.I52

Dewey Class. No.: 004

Topological Methods in Data Analysis and Visualization V = Theory, Algorithms, and Applications /
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