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Information Theory and Selected Applications
Buch von Arieh Ben-Naim
Sprache: Englisch

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Beschreibung
This book focuses on analysing the applications of the Shannon Measure of Information (SMI). The book introduces the concept of frustration and discusses the question of the quantification of this concept within information theory (IT), while it also focuses on the interpretation of the entropy of systems of interacting particles in terms of the SMI and of mutual information. The author examines the question of the possibility of measuring the extent of frustration using mutual information and discusses some classical examples of processes of mixing and assimilation for which the entropy changes are interpreted in terms of SMI. A description of a few binding systems and the interpretation of cooperativity phenomena in terms of mutual information are also presented, along with a detailed discussion on the general method of using maximum SMI in order to find the ¿best-guess¿ probability distribution. This book is a valuable contribution to the field of information theory and will be of great interest to any scientist who is interested in IT and in its potential applications.
This book focuses on analysing the applications of the Shannon Measure of Information (SMI). The book introduces the concept of frustration and discusses the question of the quantification of this concept within information theory (IT), while it also focuses on the interpretation of the entropy of systems of interacting particles in terms of the SMI and of mutual information. The author examines the question of the possibility of measuring the extent of frustration using mutual information and discusses some classical examples of processes of mixing and assimilation for which the entropy changes are interpreted in terms of SMI. A description of a few binding systems and the interpretation of cooperativity phenomena in terms of mutual information are also presented, along with a detailed discussion on the general method of using maximum SMI in order to find the ¿best-guess¿ probability distribution. This book is a valuable contribution to the field of information theory and will be of great interest to any scientist who is interested in IT and in its potential applications.
Über den Autor
¿Arieh Ben-Naimis a professor emeritus at the Hebrew University of Jerusalem's Department of Physical Chemistry. Most of his research work was focused on the theory of water, aqueous solutions and the role of water in biochemical processes. Recently, the author dedicated his time explaining and clarifying to the general public the most mysterious concept in physics: Entropy. He is the author of many books and articles on Entropy, the Second Law and Information Theory.
Zusammenfassung

Provides new and different applications of Shannon's measure of information

Clarifies difficult concepts related to Information Theory

Is useful to scientists working in any field of science

Inhaltsverzeichnis
Introduction and Caveats.- Intermolecular interactions, correlations, and Mutual Information.- Application of Multivariate Mutual Information to study spin systems.- Entropy of Mixing and Entropy of Assimilation, an Informational Theoretical Approach.- Information transmission between molecules in binding systems.- Calculations of the "best-guess" probability distribution using Shannon's Measure of Information.
Details
Erscheinungsjahr: 2023
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: xv
232 S.
175 s/w Illustr.
24 farbige Illustr.
232 p. 199 illus.
24 illus. in color.
ISBN-13: 9783031212758
ISBN-10: 3031212754
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Ben-Naim, Arieh
Auflage: 1st ed. 2023
Hersteller: Springer International Publishing
Springer International Publishing AG
Maße: 241 x 160 x 19 mm
Von/Mit: Arieh Ben-Naim
Erscheinungsdatum: 02.01.2023
Gewicht: 0,586 kg
Artikel-ID: 125728285
Über den Autor
¿Arieh Ben-Naimis a professor emeritus at the Hebrew University of Jerusalem's Department of Physical Chemistry. Most of his research work was focused on the theory of water, aqueous solutions and the role of water in biochemical processes. Recently, the author dedicated his time explaining and clarifying to the general public the most mysterious concept in physics: Entropy. He is the author of many books and articles on Entropy, the Second Law and Information Theory.
Zusammenfassung

Provides new and different applications of Shannon's measure of information

Clarifies difficult concepts related to Information Theory

Is useful to scientists working in any field of science

Inhaltsverzeichnis
Introduction and Caveats.- Intermolecular interactions, correlations, and Mutual Information.- Application of Multivariate Mutual Information to study spin systems.- Entropy of Mixing and Entropy of Assimilation, an Informational Theoretical Approach.- Information transmission between molecules in binding systems.- Calculations of the "best-guess" probability distribution using Shannon's Measure of Information.
Details
Erscheinungsjahr: 2023
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: xv
232 S.
175 s/w Illustr.
24 farbige Illustr.
232 p. 199 illus.
24 illus. in color.
ISBN-13: 9783031212758
ISBN-10: 3031212754
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Ben-Naim, Arieh
Auflage: 1st ed. 2023
Hersteller: Springer International Publishing
Springer International Publishing AG
Maße: 241 x 160 x 19 mm
Von/Mit: Arieh Ben-Naim
Erscheinungsdatum: 02.01.2023
Gewicht: 0,586 kg
Artikel-ID: 125728285
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