Topological Methods in Data Analysis and Visualization II -
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Présentation Topological Methods In Data Analysis And Visualization Ii Format Relié
- Livre Littérature GénéraleEditeur : Springer-Verlag GmbhLangue : AnglaisParution : 01/01/2012Format : Moyen, de 350g à 1kgNombre de pages : 312Expédition : 692Dimensions : 24.1 x 16.0 x 2.2 Résumé...
Résumé :
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. Topologically defined structures?as found in scalar, vector and tensor fields?have proven their merit in a wide range of scientific domains, and scientists have found them to be revealing in subjects such as physics, engineering, and medicine. ? Full of state-of-the-art research and contemporary hot topics in the subject, this volume is a selection of peer-reviewed papers originally presented at the fourth Workshop on Topology-Based Methods in Data Analysis and Visualization, TopoInVis 2011, held in Zurich, Switzerland. The workshop brought together many of the leading lights in the field for a mixture of formal presentations and discussion. One topic currently generating a great deal of interest, and explored in several chapters here, is the search for topological structures in time-dependent flows, and their relationship with Lagrangian coherent structures. Contributors also focus on discrete topologies of scalar and vector fields, and on persistence-based simplification, among other issues of note. The new research results included in this volume relate to all three key areas in data analysis?theory, algorithms and applications.
Sommaire:
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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