Logo

Information, Entropy and Their Geometric Structures

Small book cover: Information, Entropy and Their Geometric Structures

Information, Entropy and Their Geometric Structures
by

Publisher: MDPI AG
ISBN-13: 9783038421030
Number of pages: 554

Description:
The aim of this book is to provide an overview of current work addressing this topic of research that explores the geometric structures of information and entropy. We hope that this vast survey on the geometric structure of information and entropy will motivate readers to go further and explore the emerging domain of 'Science of Information'.

Home page url

Download or read it online for free here:
Download link
(11MB, PDF)

Similar books

Book cover: Information Theory, Excess Entropy and Statistical ComplexityInformation Theory, Excess Entropy and Statistical Complexity
by - College of the Atlantic
This e-book is a brief tutorial on information theory, excess entropy and statistical complexity. From the table of contents: Background in Information Theory; Entropy Density and Excess Entropy; Computational Mechanics.
(16635 views)
Book cover: Generalized Information Measures and Their ApplicationsGeneralized Information Measures and Their Applications
by - Universidade Federal de Santa Catarina
Contents: Shannon's Entropy; Information and Divergence Measures; Entropy-Type Measures; Generalized Information and Divergence Measures; M-Dimensional Divergence Measures and Their Generalizations; Unified (r,s)-Multivariate Entropies; etc.
(13701 views)
Book cover: The Limits of MathematicsThe Limits of Mathematics
by - Springer
The final version of a course on algorithmic information theory and the epistemology of mathematics. The book discusses the nature of mathematics in the light of information theory, and sustains the thesis that mathematics is quasi-empirical.
(15462 views)
Book cover: Information Theory and CodingInformation Theory and Coding
by - University of Cambridge
The aims of this course are to introduce the principles and applications of information theory. The course will study how information is measured in terms of probability and entropy, and the relationships among conditional and joint entropies; etc.
(27361 views)