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A New Class of “Growth Functions” with Polynomial Variable Transfer Generated by Real Reaction Networks Cover

A New Class of “Growth Functions” with Polynomial Variable Transfer Generated by Real Reaction Networks

Open Access
|Dec 2020

Abstract

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.

DOI: https://doi.org/10.2478/cait-2020-0062 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 74 - 81
Submitted on: Sep 5, 2020
Accepted on: Oct 30, 2020
Published on: Dec 31, 2020
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Nikolay Kyurkchiev, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.