An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science)

Li, Ming; Vitanyi, Paul

ISBN 10: 0387948686 / ISBN 13: 9780387948683

Published by Springer, 1997

About this Item

Fast Free Shipping â Good condition book with a firm cover and clean, readable pages. Shows normal use, including some light wear or limited notes highlighting, yet remains a dependable copy overall. Supplemental items like CDs or access codes may not be included.

Seller Inventory # GWV.0387948686.G

Bibliographic Details

• Title: An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science)
• Publisher: Springer
• Publication Date: 1997
• Language: English
• ISBN 10: 0387948686
• ISBN 13: 9780387948683
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: good

About this title

Synopsis

"The book is outstanding and admirable in many respects. ... is necessary reading for all kinds of readers from undergraduate students to top authorities in the field." Journal of Symbolic Logic Written by two experts in the field, this is the only comprehensive and unified treatment of the central ideas and their applications of Kolmogorov complexity. the book presents a thorough treatment of the subject with a wide range of illsutrative applications. Such applications include the randomeness of finite objects or infinite sequences, Martin-Loef tests for randomness, information theory, computationla learning theory, the complexity of algorithms, and the thermodynamics of computing. It will be ideal for advanced undergraduate students, graduate students, and researchers in computer science, mathematics, cognitive sciences, philosophy, artificial intelligence, statistics, and physics. the book is self-contained in that it contains the basic requirements from mathematics and computer science. Included are also numerous problem sets, comments, source references, and himnts to solutions of problems. In this new edition the authors have added new material on circuit theory, distributed algorithms, data compression, and other topics.

From the Back Cover

Written by two experts in the field, this book is ideal for advanced undergraduate students, graduate students, and researchers in computer science, mathematics, cognitive sciences, philosophy, artificial intelligence, statistics, and physics. It is self-contained in that it contains the basic requirements from mathematics and computer science. Included are also numerous problem sets, comments, source references, and hints to solutions of problems, as well as a great deal of new material not included in the first edition.