Topological Methods in Data Analysis and Visualization III : Theory, Algorithms, and Applications
- 種類:
- 電子ブック
- 責任表示:
- edited by Peer-Timo Bremer, Ingrid Hotz, Valerio Pascucci, Ronald Peikert
- 出版情報:
- Cham : Springer International Publishing : Imprint: Springer, 2014
- 著者名:
- シリーズ名:
- Mathematics and Visualization ;
- ISBN:
- 9783319040998 [3319040995]
- 注記:
- 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 majo
- ローカル注記:
- 学内専用E-BOOKS (local access only)
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Springer-Verlag Berlin Heidelberg |
Springer Berlin Heidelberg |
Springer New York : Imprint: Springer |
Springer Science + Business Media B.V |
Springer International Publishing : Imprint: Springer |
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