Non-additive Entropy Formulas: Motivation and Derivations

This Special Issue reprint includes contributions about using generalized entropy in describing statistical phenomena, principally in physics, as well as interpretations and motivations for one or another type of generalizing Boltzmann’s classical (logarirthmic) entropy formula.

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书目详细资料
格式:	Online
语言:	英语
出版:	MDPI - Multidisciplinary Digital Publishing Institute 2024
主题:	information shift Tsallis entropy Chebyshev maps fine structure constant generalized entropies generalized logarithms duality relations entropy optimization Sq entropies entropy finite heat-bath superstatistics nonlinearity Rényi mutual information Tsallis mutual information EKC hypothesis non-additive entropy Tsallis distribution multiparticle production processes S-theorem q-renormalized entropy complexity measures logistic map micro-canonical ensemble Sq non-additive entropies indoor biosafety infection risk estimation COVID-19 SEI dynamics indoor-space epidemiology h-derivative Sh,h′-entropy fractal derivatives fractional derivatives fractional differential equations q-calculus nonextensive statistics nonlinear Fokker–Planck equations nonextensive thermostatistics n/a thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
在线阅读:	ONIX_20240514_9783036599274_31
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ONIX_20240514_9783036599274_31

Non-additive Entropy Formulas: Motivation and Derivations

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