Topological Data Analysis for Scientific Visualization
- Length: 150 pages
- Edition: 1st ed. 2017
- Language: English
- Publisher: Springer
- Publication Date: 2018-02-22
- ISBN-10: 3319715062
- ISBN-13: 9783319715063
- Sales Rank: #1386646 (See Top 100 Books)
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.
Table of Contents
Chapter 1 Introduction
Chapter 2 Background
Chapter 3 Abstraction
Chapter 4 Interaction
Chapter 5 Analysis
Chapter 6 Perspectives
Chapter 7 Conclusion