Topological Methods in Data Analysis and Visualization II : Theory, Algorithms, and Applications / edited by Ronald Peikert, Helwig Hauser, Hamish Carr, Raphael Fuchs

By:

Peikert, Ronald [aut]

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Mathematics and Visualization | SpringerLink Bücher | Springer eBook Collection Mathematics and StatisticsPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012Description: Online-Ressource (XI, 299p. 200 illus., 106 illus. in color, digital)ISBN:

9783642231759

Subject(s):

Additional physical formats: 9783642231742 | Buchausg. u.d.T.: Topological methods in data analysis and visualization ; 2: Topological methods in data Analysis and visualization II. Berlin : Springer, 2012. XI, 299 SeitenMSC: MSC: *00B25 | 00A66 | 00A69 | 53Z99 | 54H99 | 93C95RVK: RVK: ST 330LOC classification:

QA76.9.I52

DOI: DOI: 10.1007/978-3-642-23175-9Online resources:

Summary: 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.Summary: 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.PPN: PPN: 1651281858Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SMA | ZDB-2-SXMS

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