02657oam 2200469 450 99641820370331620210601233515.03-030-43036-710.1007/978-3-030-43036-8(CKB)4100000011645331(DE-He213)978-3-030-43036-8(MiAaPQ)EBC6424319(PPN)252515269(EXLCZ)99410000001164533120210601d2020 uy 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierTopological methods in data analysis and visualization v theory, algorithms, and applications /edited by Hamish Carr, 3 others1st ed. 2020.Cham, Switzerland :Springer,[2020]©20201 online resource (X, 270 p. 132 illus., 109 illus. in color.) Mathematics and Visualization,1612-3786Includes index.3-030-43035-9 Persistence -- Scalar Topology -- Time-Varying Topology -- Multivariate Topology -- Other Forms of Topology.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.Mathematics and Visualization,1612-3786MathematicsMathematics.515.13Carr HamishMiAaPQMiAaPQUtOrBLWBOOK996418203703316Topological methods in data analysis and visualization v1982542UNISA