An Introduction to Kolmogorov Complexity and Its Applications - Info and Reading Options
By Ming Li and Paul Vitanyi
"An Introduction to Kolmogorov Complexity and Its Applications" was published by Springer-Verlag in 1993 - New York, the book is classified in Computers genre, it has 546 pages and the language of the book is English.
“An Introduction to Kolmogorov Complexity and Its Applications” Metadata:
- Title: ➤ An Introduction to Kolmogorov Complexity and Its Applications
- Authors: Ming LiPaul Vitanyi
- Language: English
- Number of Pages: 546
- Is Family Friendly: Yes - No Mature Content
- Publisher: Springer-Verlag
- Publish Date: 1993
- Publish Location: New York
- Genres: Computers
“An Introduction to Kolmogorov Complexity and Its Applications” Subjects and Themes:
- Subjects: Kolmogorov complexity
Edition Specifications:
- Pagination: xx, 546 p. :
Edition Identifiers:
- Google Books ID: IlQ_AQAAIAAJ
- The Open Library ID: OL1402464M - OL1332298W
- Online Computer Library Center (OCLC) ID: 27896183
- Library of Congress Control Number (LCCN): 93010430
- ISBN-13: 9783540940531 - 9780387940533
- ISBN-10: 0387940537 - 3540940537
- All ISBNs: 0387940537 - 3540940537 - 9783540940531 - 9780387940533
AI-generated Review of “An Introduction to Kolmogorov Complexity and Its Applications”:
Snippets and Summary:
This book is an attempt to grasp the mass of fragmented knowledge of this fascinating theory. Chapter 1 is a compilation of material on the diverse notations and disciplines we draw upon in order to make the book self-contained.
"An Introduction to Kolmogorov Complexity and Its Applications" Description:
Google Books:
With this book, the authors are trying to present in a unified treatment an introduction to the central ideas and their applications of the Kolmogorov Complexity, the theory dealing with the quantity of information in individual objects. This book is appropriate for either a one- or two-semester introductory course in departments of computer science, mathematics, physics, probability theory and statistics, artificial intelligence, and philosophy. Although the mathematical theory of Kolmogorov complexity contains sophisticated mathematics, the amount of math one needs to know to apply the notions in widely divergent areas, is very little. The authors' purpose is to develop the theory in detail and outline a wide range of illustrative applications. This book is an attempt to grasp the mass of fragmented knowledge of this fascinating theory. Chapter 1 is a compilation of material on the diverse notations and disciplines we draw upon in order to make the book self-contained. The mathematical theory of Kolmogorov complexity is treated in chapters 2-4; the applications are treated in chapters 4-8.
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