Algebraic Foundations for Applied Topology and Data Analysis / Mathematics of Data Bd.1 (PDF)
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This book gives an intuitive and hands-on introduction to Topological Data Analysis (TDA). Covering a wide range of topics at levels of sophistication varying from elementary (matrix algebra) to esoteric (Grothendieck spectral sequence), it offers a mirror of data science aimed at a general mathematical audience.
The required algebraic background is developed in detail. The first third of the book reviews several core areas of mathematics, beginning with basic linear algebra and applications to data fitting and web search algorithms, followed by quick primers on algebra and topology. The middle third introduces algebraic topology, along with applications to sensor networks and voter ranking. The last third covers key contemporary tools in TDA: persistent and multiparameter persistent homology. Also included is a user's guide to derived functors and spectral sequences (useful but somewhat technical tools which have recently found applications in TDA), and an appendix illustrating a number of software packages used in the field.
Based on a course given as part of a masters degree in statistics, the book is appropriate for graduate students.
He has earned teaching awards from Cornell and Illinois, and awards for departmental leadership and outreach to student veterans from Iowa State. In 2014 he was a Professor at Universidad de Buenos Aires as a Fulbright fellow, and in 2020 he was named a fellow of the AMS. His research is at the interface of algebra, geometry, and computation.
- Autor: Hal Schenck
- 2022, 1st ed. 2022, 224 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3031066642
- ISBN-13: 9783031066641
- Erscheinungsdatum: 21.11.2022
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- Dateiformat: PDF
- Größe: 4.85 MB
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