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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Peikert, Ronald (Editor), Hauser, Helwig (Editor), Carr, Hamish (Editor), Fuchs, Raphael (Editor)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
Series:Mathematics and Visualization,
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.