Bibliograph

Topological Data Analysis for Scientific Visualization, by Julien Tierny

Type

Label

Topological Data Analysis for Scientific Visualization, by Julien Tierny

Language

eng

resource.imageBitDepth

Literary Form

non fiction

Main title

Topological Data Analysis for Scientific Visualization

Medium

electronic resource

Nature of contents

dictionaries

Oclc number

1021196996

Responsibility statement

by Julien Tierny

Series statement

Mathematics and Visualization,, 1612-3786Springer eBooksSpringer eBooks.

Summary

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.--, Provided by publisher

Table Of Contents

1. Introduction -- 2. Background: 2.1 Data representation -- 2.2 Topological abstractions -- 2.3 Algorithms and applications -- 3. Abstraction: 3.1 Efficient topological simplification of scalar fields -- 3.2 Efficient Reeb graph computation for volumetric meshes -- 4. Interaction: 4.1 Topological simplification of isosurfaces -- 4.2 Interactive editing of topological abstractions -- 5. Analysis: 5.1 Exploration of turbulent combustion simulations -- 5.2 Quantitative analysis of molecular interactions -- 6. Perspectives: 6.1 Emerging constraints -- 6.2 Emerging data types -- 7. Conclusion

Creator