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Table of contents

  1. Front Matter
    Pages i-xv
  2. Julien Tierny
    Pages 1-2
  3. Julien Tierny
    Pages 3-33
  4. Julien Tierny
    Pages 35-66
  5. Julien Tierny
    Pages 67-89
  6. Julien Tierny
    Pages 91-118
  7. Julien Tierny
    Pages 119-136
  8. Julien Tierny
    Pages 137-139
  9. Back Matter
    Pages 141-150

About this book

Introduction

Combining theoretical and practical aspects of topology, this book delivers a comprehensive and self-contained introduction to topological methods for the analysis and visualization of scientific data.

Theoretical concepts are presented in a thorough but intuitive manner, with many high-quality color illustrations. Key algorithms for the computation and simplification of topological data representations are described in details, and their application is carefully illustrated 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.

Keywords

Topological Data Analysis Scientific Visualization Computational Topology Morse Theory Persistent Homology

Authors and affiliations

  • Julien Tierny
    • 1
  1. 1.Department of Scientific ComputingCNRS, Sorbonne Université, LIP6ParisFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-71507-0
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-71506-3
  • Online ISBN 978-3-319-71507-0
  • Series Print ISSN 1612-3786
  • Series Online ISSN 2197-666X
  • Buy this book on publisher's site