Topological Methods in Data Analysis and Visualization V | Theory, Algorithms, and Applications. This item is unavailable.
Language: English
Published by Springer, 2020
- Hardcover
- New
Seller: preigu, Osnabrück, Germanypreigu
AbeBooks seller since August 5, 2024
Condition: New
US$ 223.60
Item description from seller
Topological Methods in Data Analysis and Visualization V | Theory, Algorithms, and Applications | Hamish Carr (u. a.) | Buch | Mathematics and Visualization | x | Englisch | 2020 | Springer | EAN 9783030430351 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Seller Inventory # 118004109
- Title
- Topological Methods in Data Analysis and Visualization V | Theory, Algorithms, and Applications
- Author
- Hamish Carr (u. a.)
- Publisher
- Springer
- Publication year
- 2020
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3030430359
- ISBN 13
- 9783030430351
- Item weight
- 588 grams
- Dimensions
- 241 x 160 x 21 mm
- Series
- Book 37 of 40: Mathematics and Visualization
- Seller catalogs
- Bücher
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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, the bookrepresents a valuable contribution to a field of growing importance, with applications in disciplines ranging from engineering to medicine.
"About the title" may belong to another edition of this title.