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

Authors :
Nikolay Kyurkchiev
Source :
Cybernetics and Information Technologies. 20:74-81
Publication Year :
2020
Publisher :
Walter de Gruyter GmbH, 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.

Details

ISSN :
13144081
Volume :
20
Database :
OpenAIRE
Journal :
Cybernetics and Information Technologies
Accession number :
edsair.doi...........76648a9620903bc0fc575b502188ef69
Full Text :
https://doi.org/10.2478/cait-2020-0062