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Topological Methods in Data Analysis and Visualization VI

Theory, Applications, and Software

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Ingrid Hotz

    1. Department of Science and Technology, Linköping University, Norrköping, Sweden

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  2. Talha Bin Masood

    1. Department of Science and Technology, Linköping University, Norrköping, Sweden

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  3. Filip Sadlo

    1. Heidelberg University, IWR, Heidelberg, Germany

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  4. Julien Tierny

    1. CNRS, Department of Scientific Computing, Sorbonne Université, Paris, France

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  • Covers the full range of cutting-edge research in the sector
  • Features work by the most prominent and respected researchers
  • Contains papers on the latest developments including fast homology computation

Part of the book series: Mathematics and Visualization (MATHVISUAL)

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Table of contents (18 papers)

  1. Part IV: Overview Articles, Software and Viewpoints

    1. An Overview of the Topology ToolKit

      • Talha Bin Masood, Joseph Budin, Martin Falk, Guillaume Favelier, Christoph Garth, Charles Gueunet et al.
      Pages 327-342

    2. Implementing Persistence-Based Clustering of Point Clouds in the Topology ToolKit

      • Ryan Cotsakis, Jim Shaw, Julien Tierny, Joshua A. Levine
      Pages 343-357

    3. Report of the TopoInVis TTK Hackathon: Experiences, Lessons Learned, and Perspectives

      • Jonas Lukasczyk, Jakob Beran, Wito Engelke, Martin Falk, Anke Friederici, Christoph Garth et al.
      Pages 359-373
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Keywords

About this book

This book is a result of a workshop, the 8th of the successful TopoInVis workshop series, held in 2019 in Nyköping, Sweden. The workshop regularly gathers some of the world’s leading experts in this field. Thereby, it provides a forum for discussions on the latest advances in the field with a focus on finding practical solutions to open problems in topological data analysis for visualization. The contributions provide introductory and novel research articles including new concepts for the analysis of multivariate and time-dependent data, robust computational approaches for the extraction and approximations of topological structures with theoretical guarantees, and applications of topological scalar and vector field analysis for visualization. The applications span a wide range of scientific areas comprising climate science, material sciences, fluid dynamics, and astronomy. In addition, community efforts with respect to joint software development are reported and discussed.  


Editors and Affiliations

  • Department of Science and Technology, Linköping University, Norrköping, Sweden

    Ingrid Hotz, Talha Bin Masood

  • Heidelberg University, IWR, Heidelberg, Germany

    Filip Sadlo

  • CNRS, Department of Scientific Computing, Sorbonne Université, Paris, France

    Julien Tierny

Bibliographic Information

  • Book Title: Topological Methods in Data Analysis and Visualization VI

  • Book Subtitle: Theory, Applications, and Software

  • Editors: Ingrid Hotz, Talha Bin Masood, Filip Sadlo, Julien Tierny

  • Series Title: Mathematics and Visualization

  • DOI: https://doi.org/10.1007/978-3-030-83500-2

  • Publisher: Springer Cham

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-83499-9Published: 29 September 2021

  • Softcover ISBN: 978-3-030-83502-6Published: 30 September 2022

  • eBook ISBN: 978-3-030-83500-2Published: 28 September 2021

  • Series ISSN: 1612-3786

  • Series E-ISSN: 2197-666X

  • Edition Number: 1

  • Number of Pages: XI, 373

  • Number of Illustrations: 22 b/w illustrations, 164 illustrations in colour

  • Topics: Visualization, Topology, Computer Graphics, Theory of Computation, Algorithms, Mathematical Software

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