Algebraic Foundations for Applied Topology and Data Analysis

di Hal Schenck (Autore)

Springer International Publishing AG, 2023

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.

• Autore: Hal Schenck
• Editore: Springer International Publishing AG
• Collana: Mathematics of Data
• Anno: 2023
• Rilegatura: Paperback / softback
• Pagine: 224 p.
• Dimensioni: 235 x 155 mm
• Peso: 367 gr.
• EAN: 9783031066665

Testo in English