Téléchargez le livre : Topological Methods in Data Analysis and Visualization V

Topological Methods in Data Analysis and Visualization V

Theory, Algorithms, and Applications de

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Éditeur :

Springer


Collection :

Mathematics and Visualization

Paru le : 2020-12-10

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Description



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.
 
Pages
270 pages
Collection
Mathematics and Visualization
Parution
2020-12-10
Marque
Springer
EAN papier
9783030430351
EAN PDF
9783030430368
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
13230 Ko
Prix
200,44 €
EAN EPUB
9783030430368
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
50012 Ko
Prix
200,44 €

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