Introduction to Riemannian geometry and geometric statistics from basic theory to implementation with geomstats

Containing many practical Python examples, this monograph is a valuable resource both for mathematicians and applied scientists to learn the theory of Riemann geometry and its use in practice implemented with the Geomstats package where most of the difficulties are hidden under high-level functions.

Bibliographische Detailangaben

1. Verfasser:	Guigui, Nicolas (VerfasserIn)
Weitere Verfasser:	Miolane, Nina (VerfasserIn), Pennec, Xavier (VerfasserIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	Boston, Delft now 2023
Schriftenreihe:	Foundations and trends in machine learning volume 16, issue 3 (2023)
Schlagworte:	Riemannscher Raum > Lie-Gruppe
Online Zugang:	Inhaltsverzeichnis
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