Topological Methods in Data Analysis and Visualization VI - Theory, Applications, and Software (Paperback, 1st ed. 2021)

This book is a result of a workshop, the 8th of the successful TopoInVis workshop series, held in 2019 in Nykoeping, Sweden. The workshop regularly gathers some of the world's leading experts in this field. Thereby, it provides a forum for discussions on the latest advances in the field with a focus on finding practical solutions to open problems in topological data analysis for visualization. The contributions provide introductory and novel research articles including new concepts for the analysis of multivariate and time-dependent data, robust computational approaches for the extraction and approximations of topological structures with theoretical guarantees, and applications of topological scalar and vector field analysis for visualization. The applications span a wide range of scientific areas comprising climate science, material sciences, fluid dynamics, and astronomy. In addition, community efforts with respect to joint software development are reported and discussed.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Mathematics and Visualization
Release date:	October 2022
First published:	2021
Editors:	Ingrid Hotz • Talha Bin Masood • Filip Sadlo • Julien Tierny
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	373
Edition:	1st ed. 2021
ISBN-13:	978-3-03-083502-6
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Science & Mathematics > Mathematics > Combinatorics & graph theory Books > Computing & IT > Computer programming > General Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction Books > Science & Mathematics > Mathematics > Topology > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	3-03-083502-2
Barcode:	9783030835026

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