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Topological Data Analysis for Scientific Visualization

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Topological Data Analysis for Scientific Visualization Synopsis

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.  

About This Edition

ISBN: 9783319715063
Publication date: 29th January 2018
Author: Julien Tierny
Publisher: Springer International Publishing AG
Format: Hardback
Pagination: 150 pages
Series: Mathematics and Visualization
Genres: Information visualization
Topology
Image processing
Algorithms and data structures
Maths for computer scientists
Discrete mathematics
Mathematical and statistical software