Topological Data Analysis for Scientific Visualization

Nonfiction, Science & Nature, Mathematics, Graphic Methods, Topology
Cover of the book Topological Data Analysis for Scientific Visualization by Julien Tierny, Springer International Publishing
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Author: Julien Tierny ISBN: 9783319715070
Publisher: Springer International Publishing Publication: January 16, 2018
Imprint: Springer Language: English
Author: Julien Tierny
ISBN: 9783319715070
Publisher: Springer International Publishing
Publication: January 16, 2018
Imprint: Springer
Language: English

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.

 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

 

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