Téléchargez le livre : Information Geometry and Its Applications

Information Geometry and Its Applications

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Éditeur :

Springer


Collection :

Applied Mathematical Sciences

Paru le : 2016-02-02

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Description

This is the first comprehensive book on information geometry, written by the founder of the field. It begins with an elementary introduction to dualistic geometry and proceeds to a wide range of applications, covering information science, engineering, and neuroscience. It consists of four parts, which on the whole can be read independently. A manifold with a divergence function is first introduced, leading directly to dualistic structure, the heart of information geometry. This part (Part I) can be apprehended without any knowledge of differential geometry. An intuitive explanation of modern differential geometry then follows in Part II, although the book is for the most part understandable without modern differential geometry. Information geometry of statistical inference, including time series analysis and semiparametric estimation (the Neyman–Scott problem), is demonstrated concisely in Part III. Applications addressed in Part IV include hot current topics in machine learning,signal processing, optimization, and neural networks. The book is interdisciplinary, connecting mathematics, information sciences, physics, and neurosciences, inviting readers to a new world of information and geometry. This book is highly recommended to graduate students and researchers who seek new mathematical methods and tools useful in their own fields.
Pages
374 pages
Collection
Applied Mathematical Sciences
Parution
2016-02-02
Marque
Springer
EAN papier
9784431559771
EAN PDF
9784431559788
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
37
Taille du fichier
6492 Ko
Prix
126,59 €
EAN EPUB
9784431559788
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
37
Taille du fichier
22016 Ko
Prix
126,59 €

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