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Mathematics and Visualization

Topological Data Analysis for Scientific Visualization

Authors: Tierny, Julien

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  • 84 color images, including 20 high quality illustrations in the background section, nicely introducing in images the key concepts of topological data analysis
  • Special chapter on application examples, illustrating concrete use cases of topological data analysis pipelines in combustion and chemistry
  • Special chapter on the perspectives of topological data analysis regarding the upcoming generation of super-computers (exascale computing)
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eBook $79.99
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  • ISBN 978-3-319-71507-0
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Softcover $99.99
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About this book

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 the authors

Julien Tierny received the Ph.D. degree in Computer Science from Lille 1 University in 2008 and the Habilitation degree (HDR) from Sorbonne Universités UPMC in 2016. He is currently a CNRS permanent research scientist, affiliated with Sorbonne Universities (LIP6, UPMC Paris 6, France) since September 2014 and with Telecom ParisTech from 2010 to 2014. Prior to his CNRS tenure, he held a Fulbright fellowship (U.S. Department of State) and was a post-doctoral research associate at the Scientific Computing and Imaging Institute at the University of Utah. His research expertise includes topological data analysis for scientific visualization. Dr. Julien Tierny received several awards for his research, including best paper awards (IEEE VIS 2017, IEEE VIS 2016, IEEE SciVis Contest 2016, EGPGV 2013). He is the lead developer of the Topology ToolKit (TTK), an open source library for topological data analysis.

Reviews

“The book under review is built as a systematic textbook that pinpoints the elements of data visualization and offers the theoretical background for this task. … The book is written in an accessible style, suitable for undergraduates and graduates alike, and only requires a minimal algorithmic background.” (Irina Ioana Mohorianu, zbMATH 1387.00020, 2018)

Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook $79.99
price for USA in USD
  • ISBN 978-3-319-71507-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-3-319-71506-3
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Softcover $99.99
price for USA in USD
  • ISBN 978-3-319-89079-1
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Topological Data Analysis for Scientific Visualization
Authors
Series Title
Mathematics and Visualization
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-71507-0
DOI
10.1007/978-3-319-71507-0
Hardcover ISBN
978-3-319-71506-3
Softcover ISBN
978-3-319-89079-1
Series ISSN
1612-3786
Edition Number
1
Number of Pages
XV, 150
Number of Illustrations
84 illustrations in colour
Topics

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