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Information Theory and Selected Applications

Viac o knihe

The book delves into the Shannon Measure of Information (SMI) and its applications in quantifying frustration within information theory. It explores the entropy of interacting particle systems through SMI and mutual information, examining how these concepts relate to processes like mixing and assimilation. Additionally, it discusses binding systems and cooperativity phenomena, offering a method for utilizing maximum SMI to derive optimal probability distributions. This work is a significant resource for scientists interested in the intersections of information theory and its practical applications.

Vydanie

Nákup knihy

Information Theory and Selected Applications, Arieh Ben-Naim

Jazyk
Rok vydania
2024
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Jazyk
anglicky
Rok vydania
2024
Väzba
mäkká
Počet strán
248
ISBN13
9783031212789
Série
Anotácia
The book delves into the Shannon Measure of Information (SMI) and its applications in quantifying frustration within information theory. It explores the entropy of interacting particle systems through SMI and mutual information, examining how these concepts relate to processes like mixing and assimilation. Additionally, it discusses binding systems and cooperativity phenomena, offering a method for utilizing maximum SMI to derive optimal probability distributions. This work is a significant resource for scientists interested in the intersections of information theory and its practical applications.