Topological methods in data analysis and visualization. V : theory, algorithms, and applications / Hamish Carr, Issei Fujishiro, Filip Sadlo, Shigeo Takahashi, editors.

Unlimited

Authorized users

Can lend chapters, not whole ebooks

Topological methods in data analysis and visualization. V : theory, algorithms, and applications / Hamish Carr, Issei Fujishiro, Filip Sadlo, Shigeo Takahashi, editors.

9783030430368 (electronic book)
3030430367 (electronic book)
9783030430351

Cham : Springer, [2020]

English

1 online resource (x, 270 pages) : illustrations (some color).

10.1007/978-3-030-43036-8 doi

QA611.A1

515/.13

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.

International workshop proceedings.
Includes index.

Access limited to authorized users.

text file
PDF

Online resource; title from PDF title page (SpringerLink, viewed February 17, 2021).

Mathematics and visualization, 1612-3786

3030430359

Online Resources > Ebooks
All Resources