Twenty Years of Kaniadakis Entropy Current Trends and Future Perspectives
Materialtyp:
ArtikelUtgivningsinformation: MDPI - Multidisciplinary Digital Publishing Institute 2025Beskrivning: 1 electronic resource (264 p.)Innehållstyp: - text
- computer
- online resource
- 9783725836499
- 9783725836505
- Reference, Information and Interdisciplinary subjects
- Research and information: general
- DNA
- Doppler broadening function
- Faddeeva function
- Gompertz rule
- H–theorem
- KMS relation
- Kaniadakis
- Kaniadakis divergence
- Kaniadakis entropy
- Kaniadakis exponential
- Kaniadakis logarithm
- Langmuir waves
- Lotka–Volterra
- Lotka–Volterra equations
- Tsallis deformation
- Tsallis distribution
- Wasserstein metric
- Weibull distribution
- affine displacement
- affine statistical bundle
- barycenter
- big bang nucleosynthesis
- compositional data
- constitutive relations
- contact density dynamics
- cosmology
- cucurbitaceae
- cycle skipping
- earthquake recurrence times
- entropic kinetic energy
- entropy production
- flow in random media
- generalized entropy
- gravity
- income and wealth distribution
- information geometry
- inverse problems
- ion-acoustic waves
- kappa statistics
- modified lognormal distribution
- neutron cross-section
- non-additive statistics
- non-linear optimization
- nonlinear Fokker–Planck equation
- nuclear reactor physics
- optimal transport
- orbital angular momentum
- parametric modeling
- power-law distributions
- power-law tail
- power-law tailed distri
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Entropy is publishing a Special Issue in honor of the twentieth anniversary of Kaniadakis entropy's introduction. This then-new entropy is one of the most viable candidates for explaining the experimentally observed power-law-tailed statistical distributions in various physical, natural, and artificial complex systems. In this reprint, readers can find information about the recent applications of Kaniadakis entropy in mechanical statistics, high-energy physics, cosmology, information geometry, biology, and economic sciences. We hope that the papers gathered in this Special Issue may inspire the reader and encourage them to continue the development of this expanding field of statistical physics.
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