Topological Methods in Data Analysis and Visualization V
Author | : Hamish Carr |
Publisher | : Springer Nature |
Total Pages | : 264 |
Release | : 2020-12-10 |
ISBN-10 | : 9783030430368 |
ISBN-13 | : 3030430367 |
Rating | : 4/5 (367 Downloads) |
Download or read book Topological Methods in Data Analysis and Visualization V written by Hamish Carr and published by Springer Nature. This book was released on 2020-12-10 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.