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Topological Methods in Data Analysis and Visualization III Theory, Algorithms, and Applications

Various, Various (2014) Topological Methods in Data Analysis and Visualization III Theory, Algorithms, and Applications. Mathematics and Visualization. Springer. ISBN 978-3-319-04099-8.

Full text not available from this repository.

Official URL: http://www.springer.com/mathematics/computational+science+%26+engineering/book/978-3-319-04098-1

Abstract

• Covers the full range of cutting-edge research in the sector • Features work by the most prominent and respected researchers • Addresses key issues such as representing big data • Contains papers on the latest developments including fast homology computation This collection of peer-reviewed conference papers provides comprehensive coverage of cutting-edge research in topological approaches to data analysis and visualization. It encompasses the full range of new algorithms and insights, including fast homology computation, comparative analysis of simplification techniques, and key applications in materials and medical science. The volume also features material on core research challenges such as the representation of large and complex datasets and integrating numerical methods with robust combinatorial algorithms. Reflecting the focus of the TopoInVis 2013 conference, the contributions evince the progress currently being made on finding experimental solutions to open problems in the sector. They provide an inclusive snapshot of state-of-the-art research that enables researchers to keep abreast of the latest developments and provides a foundation for future progress. With papers by some of the world’s leading experts in topological techniques, this volume is a major contribution to the literature in a field of growing importance with applications in disciplines that range from engineering to medicine.

Item URL in elib:https://elib.dlr.de/94171/
Document Type:Book
Title:Topological Methods in Data Analysis and Visualization III Theory, Algorithms, and Applications
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Various, VariousVariousUNSPECIFIED
Date:2014
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Editors:
EditorsEmail
Bremer, P.-TimoLBLivermore, USA
Hotz, IngridDLR
Pascucci, ValerioSCI Utah, USA
Peikert, RonnyETH Zuerich, Schweiz
Publisher:Springer
Series Name:Mathematics and Visualization
ISBN:978-3-319-04099-8
Status:Published
Keywords:Morse theory, data analysis, featire extraction, topology, vector fields, visualization
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Vorhaben SISTEC
Location: Braunschweig
Institutes and Institutions:Institut of Simulation and Software Technology > Software for Space Systems and Interactive Visualisation
Deposited By: Hotz, Ingrid
Deposited On:13 Feb 2015 10:23
Last Modified:13 Feb 2015 10:23

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