An Introduction To Kolmogorov Complexity
Paul Li Ming; Vitanyi
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Description for An Introduction To Kolmogorov Complexity
Paperback. 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. Series: Texts in Computer Science. Num Pages: 816 pages, 21 black & white illustrations, 11 black & white tables, biography. BIC Classification: GPJ; PBKS; PBT; PBW; UYQP. Category: (G) General (US: Trade). Dimension: 254 x 178 x 41. Weight in Grams: 1532.
“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. ... Read more
Show LessProduct Details
Format
Paperback
Publication date
2014
Publisher
Springer-Verlag New York Inc. United States
Number of pages
816
Condition
New
Series
Texts in Computer Science
Number of Pages
790
Place of Publication
New York, United States
ISBN
9781489984456
SKU
V9781489984456
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for An Introduction To Kolmogorov Complexity
From the reviews of the second edition: "We are indeed in the information age and the scientific exploration of information and the laws that govern its behavior has taken center stage in the dramatic development of sciences. Kolmogorov complexity is a central concept and a powerful tool in the understanding of the quantitative nature of information and its ... Read more