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

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 con...

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Main Author: Kyurkchiev Nikolay
Format: Article
Language:English
Published: Sciendo 2020-12-01
Series:Cybernetics and Information Technologies
Subjects:
Online Access:https://doi.org/10.2478/cait-2020-0062
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author Kyurkchiev Nikolay
author_facet Kyurkchiev Nikolay
author_sort Kyurkchiev Nikolay
collection DOAJ
description 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.
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spelling doaj.art-8e164bbfec034f6d9ddc1dced03fda1c2022-12-22T03:13:49ZengSciendoCybernetics and Information Technologies1314-40812020-12-01206748110.2478/cait-2020-0062A New Class of “Growth Functions” with Polynomial Variable Transfer Generated by Real Reaction NetworksKyurkchiev Nikolay0Faculty of Mathematics and Informatics, University of Plovdiv Paisii Hilendarski, 24 Tzar Asen Str., 4000Plovdiv, BulgariaIn [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.https://doi.org/10.2478/cait-2020-0062reaction networksgeneralized growth modelexponentially and polynomial variable transfers
spellingShingle Kyurkchiev Nikolay
A New Class of “Growth Functions” with Polynomial Variable Transfer Generated by Real Reaction Networks
Cybernetics and Information Technologies
reaction networks
generalized growth model
exponentially and polynomial variable transfers
title A New Class of “Growth Functions” with Polynomial Variable Transfer Generated by Real Reaction Networks
title_full A New Class of “Growth Functions” with Polynomial Variable Transfer Generated by Real Reaction Networks
title_fullStr A New Class of “Growth Functions” with Polynomial Variable Transfer Generated by Real Reaction Networks
title_full_unstemmed A New Class of “Growth Functions” with Polynomial Variable Transfer Generated by Real Reaction Networks
title_short A New Class of “Growth Functions” with Polynomial Variable Transfer Generated by Real Reaction Networks
title_sort new class of growth functions with polynomial variable transfer generated by real reaction networks
topic reaction networks
generalized growth model
exponentially and polynomial variable transfers
url https://doi.org/10.2478/cait-2020-0062
work_keys_str_mv AT kyurkchievnikolay anewclassofgrowthfunctionswithpolynomialvariabletransfergeneratedbyrealreactionnetworks
AT kyurkchievnikolay newclassofgrowthfunctionswithpolynomialvariabletransfergeneratedbyrealreactionnetworks