Results 21 to 30 of about 586,238 (144)

Application of Tsallis entropy in defining a new generalized strong and weak secrecy [PDF]

Journal of Mahani Mathematical Research
In this paper, we explore the diverse applications and distinctive properties of Tsallis entropy by introducing generalized definitions of strong and weak secrecy.
S. Jalayeri, G. R. Mohtashami Borzadaran, M. Khorashadizadeh   +2 more
doaj   +1 more source

Estimation of Parameters on Probability Density Function Using Enhanced GLUE Approach

Computational Intelligence and Neuroscience, Volume 2022, Issue 1, 2022., 2022
The most essential process in statistical image and signal processing is the parameter estimation of probability density functions (PDFs). The estimation of the probability density functions is a contentious issue in the domains of artificial intelligence and machine learning.
Fuad S. Alduais, Neveen Sayed-Ahmed, Heng Liu   +2 more
wiley   +1 more source

A Characterization of Entropy in Terms of Information Loss

Entropy, 2011
There are numerous characterizations of Shannon entropy and Tsallis entropy as measures of information obeying certain properties. Using work by Faddeev and Furuichi, we derive a very simple characterization.
Tom Leinster, John C. Baez, Tobias Fritz
doaj   +1 more source

Bipartite separability of symmetric N-qubit noisy states using conditional quantum relative Tsallis entropy [PDF]

Physica A: Statistical Mechanics and its Applications, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nayak, A.S., Sudha, A, Rajagopal, A.K., Usha Devi, A.R.   +3 more
openaire   +2 more sources

On the Uniqueness Theorem for Pseudo-Additive Entropies

Entropy, 2017
The aim of this paper is to show that the Tsallis-type (q-additive) entropic chain rule allows for a wider class of entropic functionals than previously thought.
Petr Jizba, Jan Korbel
doaj   +1 more source

Conditional Shannon, Réyni, and Tsallis entropies estimation and asymptotic limits: discrete case

, 2020
A method of estimating the joint probability mass function of a pair of discrete random variables is described. This estimator is used to construct the conditional Shannon-Réyni-Tsallis entropies estimates. From there almost sure rates of convergence and asymptotic normality are established. The theorical results are validated by simulations.
Diadie, Ba Amadou, Samb, Lo Gane
openaire   +2 more sources

Tsallis q-Statistics in Seismology

, 2023
Non-extensive statistical mechanics (or q-statistics) is based on the so-called non-additive Tsallis entropy. Since its introduction by Tsallis, in 1988, as a generalization of the Boltzmann–Gibbs equilibrium statistical mechanics, it has steadily ...
Carlos A. Vargas, Alejandro Ramírez-Rojas, Leonardo Di G. Sigalotti   +2 more
core   +1 more source

Integrable multi-phase thermodynamic systems and Tsallis' composition rule [PDF]

, 2014
We derive a class of equations of state for a multi-phase thermodynamic system associated with a finite set of order parameters that satisfy an integrable system of hydrodynamic type. As particular examples, we discuss one-phase systems such as the van
de Nittis, Giuseppe, Moro, Antonio, Lorenzoni, Paolo   +2 more
core   +1 more source

Tsallis entropy on fractal sets

, 2021
In this article, we review fractal calculus ((Formula presented.) -calculus) and define generalized Tsallis entropy on the fractal sets which is called fractal Tsallis entropy.
Khalili Golmankhaneh, Alireza
core   +1 more source

On the thermodynamic stability conditions of Tsallis' entropy

Physics Letters A, 2002
Corrected some errors and typos. 7 pages, LaTeX2e, elsart, submitted to Phys.
openaire   +2 more sources