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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Peikert, Ronald (Editor ), Hauser, Helwig (Editor ), Carr, Hamish (Editor ), Fuchs, Raphael (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Mathematics and Visualization,
Temas:
Information visualization.
Algorithms.
Artificial intelligence.
Computer graphics.
Data and Information Visualization.
Artificial Intelligence.
Computer Graphics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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