An Introduction to Kolmogorov Complexity and Its Applications
This must-read textbook presents an essential introduction to Kolmogorov complexity (KC), a central theory and powerful tool in information science that deals with the quantity of information in individual objects. The text covers both the fundamental concepts and the most important practical applications, supported by a wealth of didactic features.This thoroughly revised and enhanced fourth edition includes new and updated material on, amongst other topics, the Miller-Yu theorem, the Gács-Kucera theorem, the Day-Gács theorem, increasing randomness, short lists computable from an input string containing the incomputable Kolmogorov complexity…
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Produktdetails
Weitere Autoren: Vitányi, Paul
- ISBN: 978-3-030-11297-4
- EAN: 9783030112974
- Produktnummer: 29507251
- Verlag: Springer Nature EN
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Seitenangabe: 834 S.
- Masse: H25.4 cm x B17.8 cm 2'396 g
- Auflage: 4. A.
- Abbildungen: schwarz-weiss Illustrationen, Tabellen, farbig
- Gewicht: 2396
Über den Autor
Dr. Paul M.B. Vitányi is a CWI Fellow at the Netherlands National Research Institute for Mathematics and Computer Science (CWI), and a Professor of Computer Science at the University of Amsterdam. Dr. Ming Li is Canada Research Chair in Bioinformatics and University Professor at the University of Waterloo, ON, Canada.---Textbook & Academic Authors Association 2020 McGuffey Longevity Award Winner!The judges said:An Introduction to Kolmogorov complexity and Its Applications has been an outstanding textbook and comprehensive reference for on information complexity for over twenty years. This new edition continues that tradition by laying a terrific foundation in the early chapters for the more advanced theories and concepts that follow. Each new theorem and corollary flows naturally and logically from what came before.
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