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Topological Methods in Data Analysis and Visualization V -

Topological Methods in Data Analysis and Visualization V

Theory, Algorithms, and Applications
Buch | Softcover
X, 270 Seiten
2021 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-43038-2 (ISBN)
CHF 269,60 inkl. MwSt
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This collection of peer-reviewed workshop papers provides comprehensive coverage of cutting-edge research into 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 book also addresses core research challenges such as the representation of large and complex datasets, and integrating numerical methods with robust combinatorial algorithms.

In keeping with the focus of the TopoInVis 2017 Workshop, the contributions reflect the latest advances in finding experimental solutions to open problems in the sector. They provide an essential snapshot of state-of-the-art research, helping researchers to keep abreast of the latest developments and providing a basis for future work. Gathering papers by some of the world's leading experts on topological techniques, thebook represents a valuable contribution to a field of growing importance, with applications in disciplines ranging from engineering to medicine.

 


Persistence.- Scalar Topology.- Time-Varying Topology.- Multivariate Topology.- Other Forms of Topology.

Erscheinungsdatum
Reihe/Serie Mathematics and Visualization
Zusatzinfo X, 270 p. 132 illus., 109 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 433 g
Themenwelt Informatik Software Entwicklung User Interfaces (HCI)
Mathematik / Informatik Mathematik Graphentheorie
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Schlagworte Data Analysis • Geometry • mathematical techniques in visualization • Scientific Computing • Scientific visualization • topological methods
ISBN-10 3-030-43038-3 / 3030430383
ISBN-13 978-3-030-43038-2 / 9783030430382
Zustand Neuware
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