Methods and Applications of Algorithmic Complexity
Beyond Statistical Lossless Compression
This book explores a different pragmatic approach to algorithmic complexity rooted or motivated by the theoretical foundations of algorithmic probability and explores the relaxation of necessary and sufficient conditions in the pursuit of numerical applicability, with some of these approaches entailing greater risks than others in exchange for greater relevance and applicability.Some established and also novel techniques in the field of applications of algorithmic (Kolmogorov) complexity currently coexist for the first time, ranging from the dominant ones based upon popular statistical lossless compression algorithms (such as LZW) to newer ap…
Mehr
CHF 197.00
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
V104:
Folgt in ca. 10 Arbeitstagen
Produktdetails
Weitere Autoren: Gauvrit, Nicolas / Toscano, Fernando Soler
- ISBN: 978-3-662-64983-1
- EAN: 9783662649831
- Produktnummer: 38956580
- Verlag: Springer Berlin Heidelberg
- Sprache: Englisch
- Erscheinungsjahr: 2022
- Seitenangabe: 280 S.
- Masse: H24.1 cm x B16.0 cm x D2.1 cm 588 g
- Auflage: 1st ed. 2022
- Abbildungen: HC runder Rücken kaschiert
- Reihenbandnummer: 44
- Gewicht: 588
8 weitere Werke von Hector Zenil:
Bewertungen
Anmelden