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001 978-3-642-23175-9
003 DE-He213
005 20140220083300.0
007 cr nn 008mamaa
008 120109s2012 gw | s |||| 0|eng d
020 _a9783642231759
_9978-3-642-23175-9
024 7 _a10.1007/978-3-642-23175-9
_2doi
050 4 _aQA76.9.I52
072 7 _aPBV
_2bicssc
072 7 _aMAT013000
_2bisacsh
082 0 4 _a004
_223
100 1 _aPeikert, Ronald.
_eeditor.
245 1 0 _aTopological Methods in Data Analysis and Visualization II
_h[electronic resource] :
_bTheory, Algorithms, and Applications /
_cedited by Ronald Peikert, Helwig Hauser, Hamish Carr, Raphael Fuchs.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2012.
300 _aXI, 299p. 200 illus., 106 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aMathematics and Visualization,
_x1612-3786
505 0 _aPart 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.
520 _aWhen 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.
650 0 _aMathematics.
650 0 _aElectronic data processing.
650 0 _aComputer graphics.
650 0 _aAlgorithms.
650 0 _aVisualization.
650 1 4 _aMathematics.
650 2 4 _aVisualization.
650 2 4 _aAlgorithms.
650 2 4 _aComputing Methodologies.
650 2 4 _aComputer Graphics.
700 1 _aHauser, Helwig.
_eeditor.
700 1 _aCarr, Hamish.
_eeditor.
700 1 _aFuchs, Raphael.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642231742
830 0 _aMathematics and Visualization,
_x1612-3786
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-23175-9
912 _aZDB-2-SMA
999 _c102136
_d102136