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-Theoretic IncompletenessInformation-Theoretic Incompleteness
by - World Scientific
In this mathematical autobiography, Gregory Chaitin presents a technical survey of his work and a non-technical discussion of its significance. The technical survey contains many new results, including a detailed discussion of LISP program size.
(5969 views)
Book cover: Quantum Information TheoryQuantum Information Theory
by - arXiv
A short review of ideas in quantum information theory. Quantum mechanics is presented together with some useful tools for quantum mechanics of open systems. The treatment is pedagogical and suitable for beginning graduates in the field.
(11397 views)
Book cover: Essential Coding TheoryEssential Coding Theory
by - University at Buffalo
Error-correcting codes are clever ways of representing data so that one can recover the original information even if parts of it are corrupted. The basic idea is to introduce redundancy so that the original information can be recovered ...
(3736 views)
Book cover: A primer on information theory, with applications to neuroscienceA primer on information theory, with applications to neuroscience
by - arXiv
This chapter is supposed to give a short introduction to the fundamentals of information theory, especially suited for people having a less firm background in mathematics and probability theory. The focus will be on neuroscientific topics.
(4508 views)