Geometric Structures of Information (Hardcover, 1st ed. 2019)

This book focuses on information geometry manifolds of structured data/information and their advanced applications featuring new and fruitful interactions between several branches of science: information science, mathematics and physics. It addresses interrelations between different mathematical domains like shape spaces, probability/optimization & algorithms on manifolds, relational and discrete metric spaces, computational and Hessian information geometry, algebraic/infinite dimensional/Banach information manifolds, divergence geometry, tensor-valued morphology, optimal transport theory, manifold & topology learning, and applications like geometries of audio-processing, inverse problems and signal processing. The book collects the most important contributions to the conference GSI'2017 - Geometric Science of Information.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Signals and Communication Technology
Release date:	November 2018
First published:	2019
Editors:	Frank Nielsen
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	392
Edition:	1st ed. 2019
ISBN-13:	978-3-03-002519-9
Categories:	Books > Reference & Interdisciplinary > Communication studies > Coding theory & cryptology Books > Science & Mathematics > Mathematics > Numerical analysis Books > Reference & Interdisciplinary > Communication studies > Information theory > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Promotions
LSN:	3-03-002519-5
Barcode:	9783030025199

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