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010   $a3-030-43036-7
024 7 $a10.1007/978-3-030-43036-8
035   $a(CKB)4100000011645331
035   $a(DE-He213)978-3-030-43036-8
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035   $a(PPN)252515269
035   $a(EXLCZ)994100000011645331
100   $a20210601d2020      uy             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aTopological methods in data analysis and visualization v $etheory, algorithms, and applications /$fedited by Hamish Carr, 3 others
205   $a1st ed. 2020.
210  1$aCham, Switzerland :$cSpringer,$d[2020]
210  4$d©2020
215   $a1 online resource (X, 270 p. 132 illus., 109 illus. in color.) 
225 1 $aMathematics and Visualization,$x1612-3786
300   $aIncludes index.
311   $a3-030-43035-9 
327   $aPersistence -- Scalar Topology -- Time-Varying Topology -- Multivariate Topology -- Other Forms of Topology.
330   $aThis collection of peer-reviewed workshop papers provides comprehensive coverage of cutting-edge research into topological approaches to data analysis and visualization. It encompasses the full range of new algorithms and insights, including fast homology computation, comparative analysis of simplification techniques, and key applications in materials and medical science. The book also addresses core research challenges such as the representation of large and complex datasets, and integrating numerical methods with robust combinatorial algorithms. In keeping with the focus of the TopoInVis 2017 Workshop, the contributions reflect the latest advances in finding experimental solutions to open problems in the sector. They provide an essential snapshot of state-of-the-art research, helping researchers to keep abreast of the latest developments and providing a basis for future work. Gathering papers by some of the world?s leading experts on topological techniques, the book represents a valuable contribution to a field of growing importance, with applications in disciplines ranging from engineering to medicine.
410  0$aMathematics and Visualization,$x1612-3786
606   $aMathematics
615  0$aMathematics.
676   $a515.13
702   $aCarr$b Hamish
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bUtOrBLW
906   $aBOOK
912   $a996418203703316
996   $aTopological methods in data analysis and visualization v$91982542
997   $aUNISA