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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.
Produkteigenschaften
- Artikelnummer: 9783642231742
- Medium: Buch
- ISBN: 978-3-642-23174-2
- Verlag: Springer
- Erscheinungstermin: 25.01.2012
- Sprache(n): Englisch
- Auflage: 2012
- Serie: Mathematics and Visualization
- Produktform: Gebunden
- Gewicht: 692 g
- Seiten: 299
- Format (B x H x T): 160 x 241 x 22 mm
- Ausgabetyp: Kein, Unbekannt
Themen
- Technische Wissenschaften
- Sonstige Technologien | Angewandte Technik
- Signalverarbeitung, Bildverarbeitung, Scanning
- Interdisziplinäres
- Wissenschaften
- Wissenschaften: Forschung und Information
- Datenanalyse, Datenverarbeitung