EAN: | 9783662519066 |
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Sachgruppe: | Mathematik |
Sprache: | Englisch |
Seitenzahl: | 312 |
Produktart: | Kartoniert / Broschiert |
Herausgeber: | Carr, Hamish Fuchs, Raphael Hauser, Helwig Peikert, Ronald |
Veröffentlichungsdatum: | 23.08.2016 |
Untertitel: | Theory, Algorithms, and Applications |
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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.