Topological Methods in Data Analysis and Visualization II Theory, Algorithms, and Applications /
When scientists analyze datasets in a search for underlying phenomena, patterns or causal factors, their first step is often an automatic or semi-automatic search for structures in the data. Of these feature-extraction methods, topological ones stand out due to their solid mathematical foundation. T...
Corporate Author: | |
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Other Authors: | , , , |
Format: | Electronic eBook |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2012.
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Series: | Mathematics and Visualization,
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Part I: Discrete Morse Theory.- Part II: Hierarchical Methods for Extracting and Visualizing Topological Structures
- Part III: Visualization of Dynamical Systems, Vector and Tensor Fields
- Part IV: Topological Visualization of Unsteady Flow.