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....
|Title||:||Topological Methods in Data Analysis and Visualization II: Theory, Algorithms, and Applications (Mathematics and Visualization)|
|Publisher||:||Springer 2012 edition March 11, 2012|
|Number of Pages||:||299 pages|
|File Size||:||989 KB|
|Status||:||Available For Download|
|Last checked||:||21 Minutes ago!|