A New Class of “Growth Functions” with Polynomial Variable Transfer Generated by Real Reaction Networks
31 dic 2020
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 31 dic 2020
Pagine: 74 - 81
Ricevuto: 05 set 2020
Accettato: 30 ott 2020
DOI: https://doi.org/10.2478/cait-2020-0062
Parole chiave
© 2020 Nikolay Kyurkchiev, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
In [4, 5], two classes of growth models with “exponentially variable transfer” and “correcting amendments of Bateman-Gompertz-Makeham-type” based on a specific extended reaction network have been studied [1]. In this article we will look at the new scheme with “polynomial variable transfer”. The consideration of such a dynamic model in the present article is dictated by our passionate desire to offer an adequate model with which to well approximate specific data in the field of computer viruses propagation, characterized by rapid growth in the initial time interval. Some numerical examples, using CAS Mathematica illustrating our results are given.