Topological Data Analysis for Scientific Visualization (Hardcover, 1st ed. 2017)

Combining theoretical and practical aspects of topology, this book provides a comprehensive and self-contained introduction to topological methods for the analysis and visualization of scientific data. Theoretical concepts are presented in a painstaking but intuitive manner, with numerous high-quality color illustrations. Key algorithms for the computation and simplification of topological data representations are described in detail, and their application is carefully demonstrated in a chapter dedicated to concrete use cases. With its fine balance between theory and practice, "Topological Data Analysis for Scientific Visualization" constitutes an appealing introduction to the increasingly important topic of topological data analysis for lecturers, students and researchers.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Mathematics and Visualization
Release date:	2018
First published:	2017
Authors:	Julien Tierny
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Hardcover
Pages:	150
Edition:	1st ed. 2017
ISBN-13:	978-3-319-71506-3
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Science & Mathematics > Mathematics > Combinatorics & graph theory Books > Science & Mathematics > Mathematics > Topology > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN:	3-319-71506-2
Barcode:	9783319715063

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