Topological Methods in Data Analysis and Visualization II

Name: Topological Methods in Data Analysis and Visualization II
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642231742
Price: 592.41 PLN
Availability: InStock

Autor: Ronald Peikert

Język:

Oprawa: Twarda

Wydawca: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Dostępność: Dostępna u dostawcy

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When scientists analyze datasets in a search for underlying phenomena, patterns or causal factors, t...

Informacje o książce

Autor

Ronald Peikert

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2012

strony

299

EAN

9783642231742

ISBN

3642231748

Enbook ID

01248151

Wydawca

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Waga

702

Wymiary

155 x 235 x 21

Pełny opis

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.

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