An Introduction to Kolmogorov Complexity and Its Applications

Li, Ming,Vitanyi, Paul

ISBN 10: 0387339981 / ISBN 13: 9780387339986

Edité par Springer-Nature New York Inc, 2009

A propos de cet article

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Détails bibliographiques

• Titre: An Introduction to Kolmogorov Complexity and Its Applications
• Éditeur: Springer-Nature New York Inc
• Date de parution: 2009
• Langue: anglais
• ISBN à 10 chiffres: 0387339981
• ISBN à 13 chiffres: 9780387339986
• Reliure: hardcover
• Édition: 3ème Édition
• État de l'article: Good

A propos de ce titre

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 applications of Kolmogorov complexity. The book presents a thorough treatment of the subject with a wide range of illustrative applications. Such applications include the randomness of finite objects or infinite sequences, Martin-Loef tests for randomness, information theory, computational 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 hints to solutions of problems. New topics in this edition include Omega numbers, Kolmogorov–Loveland randomness, universal learning, communication complexity, Kolmogorov's random graphs, time-limited universal distribution, Shannon information and others.

Présentation de l'éditeur

Written by two experts in the field, this is the only comprehensive and unified treatment of the central ideas and applications of Kolmogorov complexity. The book presents a thorough treatment of the subject with a wide range of illustrative applications.