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Topology-Based Methods in Visualization 2015

This book presents contributions on topics ranging from novel applications of topological analysis for particular problems, through studies of the effectiveness of modern topological methods, algorithmic improvements on existing methods, and parallel computation of topological structures, all the wa...

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Detalles Bibliográficos
Autores principales: Carr, Hamish, Garth, Christoph, Weinkauf, Tino
Lenguaje:eng
Publicado: Springer 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-44684-4
http://cds.cern.ch/record/2272843
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author Carr, Hamish
Garth, Christoph
Weinkauf, Tino
author_facet Carr, Hamish
Garth, Christoph
Weinkauf, Tino
author_sort Carr, Hamish
collection CERN
description This book presents contributions on topics ranging from novel applications of topological analysis for particular problems, through studies of the effectiveness of modern topological methods, algorithmic improvements on existing methods, and parallel computation of topological structures, all the way to mathematical topologies not previously applied to data analysis. Topological methods are broadly recognized as valuable tools for analyzing the ever-increasing flood of data generated by simulation or acquisition. This is particularly the case in scientific visualization, where the data sets have long since surpassed the ability of the human mind to absorb every single byte of data. The biannual TopoInVis workshop has supported researchers in this area for a decade, and continues to serve as a vital forum for the presentation and discussion of novel results in applications in the area, creating a platform to disseminate knowledge about such implementations throughout and beyond the community. The present volume, resulting from the 2015 TopoInVis workshop held in Annweiler, Germany, will appeal to researchers in the fields of scientific visualization and mathematics, domain scientists with an interest in advanced visualization methods, and developers of visualization software systems.
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spelling cern-22728432021-04-22T06:36:19Zdoi:10.1007/978-3-319-44684-4http://cds.cern.ch/record/2272843engCarr, HamishGarth, ChristophWeinkauf, TinoTopology-Based Methods in Visualization 2015Mathematical Physics and MathematicsThis book presents contributions on topics ranging from novel applications of topological analysis for particular problems, through studies of the effectiveness of modern topological methods, algorithmic improvements on existing methods, and parallel computation of topological structures, all the way to mathematical topologies not previously applied to data analysis. Topological methods are broadly recognized as valuable tools for analyzing the ever-increasing flood of data generated by simulation or acquisition. This is particularly the case in scientific visualization, where the data sets have long since surpassed the ability of the human mind to absorb every single byte of data. The biannual TopoInVis workshop has supported researchers in this area for a decade, and continues to serve as a vital forum for the presentation and discussion of novel results in applications in the area, creating a platform to disseminate knowledge about such implementations throughout and beyond the community. The present volume, resulting from the 2015 TopoInVis workshop held in Annweiler, Germany, will appeal to researchers in the fields of scientific visualization and mathematics, domain scientists with an interest in advanced visualization methods, and developers of visualization software systems.Springeroai:cds.cern.ch:22728432017
spellingShingle Mathematical Physics and Mathematics
Carr, Hamish
Garth, Christoph
Weinkauf, Tino
Topology-Based Methods in Visualization 2015
title Topology-Based Methods in Visualization 2015
title_full Topology-Based Methods in Visualization 2015
title_fullStr Topology-Based Methods in Visualization 2015
title_full_unstemmed Topology-Based Methods in Visualization 2015
title_short Topology-Based Methods in Visualization 2015
title_sort topology-based methods in visualization 2015
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-44684-4
http://cds.cern.ch/record/2272843
work_keys_str_mv AT carrhamish topologybasedmethodsinvisualization2015
AT garthchristoph topologybasedmethodsinvisualization2015
AT weinkauftino topologybasedmethodsinvisualization2015