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Topological Methods In Data Analysis And Visualization V Theory Algorithms And Applications 1st Ed Hamish Carr

  • SKU: BELL-22425608
Topological Methods In Data Analysis And Visualization V Theory Algorithms And Applications 1st Ed Hamish Carr
$ 31.00 $ 45.00 (-31%)

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Topological Methods In Data Analysis And Visualization V Theory Algorithms And Applications 1st Ed Hamish Carr instant download after payment.

Publisher: Springer International Publishing;Springer
File Extension: PDF
File size: 12.8 MB
Author: Hamish Carr, Issei Fujishiro, Filip Sadlo, Shigeo Takahashi
ISBN: 9783030430351, 9783030430368, 3030430359, 3030430367
Language: English
Year: 2020
Edition: 1st ed.

Product desciption

Topological Methods In Data Analysis And Visualization V Theory Algorithms And Applications 1st Ed Hamish Carr by Hamish Carr, Issei Fujishiro, Filip Sadlo, Shigeo Takahashi 9783030430351, 9783030430368, 3030430359, 3030430367 instant download after payment.

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 book represents a valuable contribution to a field of growing importance, with applications in disciplines ranging from engineering to medicine.

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