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010   $a9783031212765$b(electronic bk.)
010   $z9783031212758
024 7 $a10.1007/978-3-031-21276-5
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035   $a(Au-PeEL)EBL7167849
035   $a(CKB)25936570300041
035   $a(DE-He213)978-3-031-21276-5
035   $a(PPN)26781237X
035   $a(EXLCZ)9925936570300041
100   $a20230101d2023      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aInformation Theory and Selected Applications /$fby Arieh Ben-Naim
205   $a1st ed. 2023.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023.
215   $a1 online resource (242 pages)
311 08$aPrint version: Ben-Naim, Arieh Information Theory and Selected Applications Cham : Springer International Publishing AG,c2023 9783031212758 
320   $aIncludes bibliographical references and index.
327   $aIntroduction 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.
330   $aThis 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.
606   $aData structures (Computer science)
606   $aInformation theory
606   $aThermodynamics
606   $aChemistry, Physical and theoretical
606   $aStatistical mechanics
606   $aProbabilities
606   $aData Structures and Information Theory
606   $aThermodynamics
606   $aTheoretical Chemistry
606   $aStatistical Mechanics
606   $aProbability Theory
615  0$aData structures (Computer science)
615  0$aInformation theory.
615  0$aThermodynamics.
615  0$aChemistry, Physical and theoretical.
615  0$aStatistical mechanics.
615  0$aProbabilities.
615 14$aData Structures and Information Theory.
615 24$aThermodynamics.
615 24$aTheoretical Chemistry.
615 24$aStatistical Mechanics.
615 24$aProbability Theory.
676   $a354.81150006
676   $a003.54
700   $aBen-Naim$b Arieh$0471923
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
912   $a9910639899403321
996   $aInformation Theory and Selected Applications$93003311
997   $aUNINA