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Topological Methods in Data Analysis and Visualization II: Theory, Algorithms, and Applications

by Ronald Peikert
Save 35% Save 35%
Current price ₹10,174.00
Original price ₹15,651.00
Original price ₹15,651.00
Original price ₹15,651.00
(-35%)
₹10,174.00
Current price ₹10,174.00

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Book cover type: Paperback
  • ISBN13: 9783662519066
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 299
  • Original Price: EUR 139.99
  • Language: English
  • Edition: Softcover Repri
  • Item Weight: 530 grams
  • BISAC Subject(s): Software Development & Engineering / Computer Graphics, Computer Science, and Graphic Methods

From the Back Cover

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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