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Based on the Jaynes principle of maximum for informational entropy, we find a generalized

In this work, we offer a new approach to the concept of the information entropy for the description

. Shannon, Relative and Zipf-Mandelbrot entropies have ample applications in many applied sciences

In this work, we offer a new approach to the concept of the information entropy for the description

is the key to success. Shannon, Relative and Zipf-Mandelbrot entropies have many applications in many applied

computing useful upper bounds for several entropic measures used in information theory. We use discrete

Shannon and Zipf-Mandelbrot entropies have many applications in many applied sciences, for example

, relative entropy, or common data, and has found numerous applications in information theory. In the Rényi’s

of information entropy, is associated with the spectral structure of the echo hologram's response, where its

function and assess their security using Holevo entropy and recently introduced notion of quantum

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