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- 168pages
- 6 heures de lecture
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The book delves into mathematical information theory, beginning with the Shannon-Wiener framework to quantify information through probability. It defines key concepts like message and information, progressing to countable probability spaces and Shannon entropy, illustrated through applications in statistical physics, mathematical statistics, and communication engineering. Additionally, it offers an introduction to quantum information and examines general probability spaces, emphasizing the information-theoretical analysis of dynamic systems.
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Mathematics of Information, Stefan Schäffler
- Langue
- Année de publication
- 2024
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- Titre
- Mathematics of Information
- Sous-titre
- Theory and Applications of Shannon-Wiener Information
- Langue
- Anglais
- Auteurs
- Stefan Schäffler
- Éditeur
- Springer Berlin Heidelberg
- Publié
- 2024
- Format
- souple
- Pages
- 168
- ISBN13
- 9783662691014
- Séries
- Mots clés
- Nonfiction, Technologie & Ingénierie, Science et Mathématiques, La nature, Informatique & Internet, Mathématiques
- Évaluation
- 4 sur 5
- Description
- The book delves into mathematical information theory, beginning with the Shannon-Wiener framework to quantify information through probability. It defines key concepts like message and information, progressing to countable probability spaces and Shannon entropy, illustrated through applications in statistical physics, mathematical statistics, and communication engineering. Additionally, it offers an introduction to quantum information and examines general probability spaces, emphasizing the information-theoretical analysis of dynamic systems.