Dynamical Strategy to Control the Accuracy of the Nonlinear Bio-Mathematical Model of Malaria Infection

This study focuses on solving the nonlinear bio-mathematical model of malaria infection. For this aim, the HATM is applied since it performs better than other methods. The convergence theorem is proven to show the capabilities of this method. Instead of applying the FPA, the CESTAC method and the CA...

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Main Authors: Samad Noeiaghdam, Sanda Micula
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/9/9/1031
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spelling doaj-0c6f09afb5d24ba392e583db4f3aa2ec2021-05-31T23:04:28ZengMDPI AGMathematics2227-73902021-05-0191031103110.3390/math9091031Dynamical Strategy to Control the Accuracy of the Nonlinear Bio-Mathematical Model of Malaria InfectionSamad Noeiaghdam0Sanda Micula1Department of Applied Mathematics and Programming, South Ural State University, Lenin Prospect 76, 454080 Chelyabinsk, RussiaDepartment of Mathematics, Babeş-Bolyai University, 400084 Cluj-Napoca, RomaniaThis study focuses on solving the nonlinear bio-mathematical model of malaria infection. For this aim, the HATM is applied since it performs better than other methods. The convergence theorem is proven to show the capabilities of this method. Instead of applying the FPA, the CESTAC method and the CADNA library are used, which are based on the DSA. Applying this method, we will be able to control the accuracy of the results obtained from the HATM. Also the optimal results and the numerical instabilities of the HATM can be obtained. In the CESTAC method, instead of applying the traditional absolute error to show the accuracy, we use a novel condition and the CESTAC main theorem allows us to do that. Plotting several <i>ℏ</i>-curves the regions of convergence are demonstrated. The numerical approximations are obtained based on both arithmetics.https://www.mdpi.com/2227-7390/9/9/1031malaria infectiondiscrete stochastic arithmeticCESTAC methodCADNA libraryhomotopy analysis transform method
collection DOAJ
language English
format Article
sources DOAJ
author Samad Noeiaghdam
Sanda Micula
spellingShingle Samad Noeiaghdam
Sanda Micula
Dynamical Strategy to Control the Accuracy of the Nonlinear Bio-Mathematical Model of Malaria Infection
Mathematics
malaria infection
discrete stochastic arithmetic
CESTAC method
CADNA library
homotopy analysis transform method
author_facet Samad Noeiaghdam
Sanda Micula
author_sort Samad Noeiaghdam
title Dynamical Strategy to Control the Accuracy of the Nonlinear Bio-Mathematical Model of Malaria Infection
title_short Dynamical Strategy to Control the Accuracy of the Nonlinear Bio-Mathematical Model of Malaria Infection
title_full Dynamical Strategy to Control the Accuracy of the Nonlinear Bio-Mathematical Model of Malaria Infection
title_fullStr Dynamical Strategy to Control the Accuracy of the Nonlinear Bio-Mathematical Model of Malaria Infection
title_full_unstemmed Dynamical Strategy to Control the Accuracy of the Nonlinear Bio-Mathematical Model of Malaria Infection
title_sort dynamical strategy to control the accuracy of the nonlinear bio-mathematical model of malaria infection
publisher MDPI AG
series Mathematics
issn 2227-7390
publishDate 2021-05-01
description This study focuses on solving the nonlinear bio-mathematical model of malaria infection. For this aim, the HATM is applied since it performs better than other methods. The convergence theorem is proven to show the capabilities of this method. Instead of applying the FPA, the CESTAC method and the CADNA library are used, which are based on the DSA. Applying this method, we will be able to control the accuracy of the results obtained from the HATM. Also the optimal results and the numerical instabilities of the HATM can be obtained. In the CESTAC method, instead of applying the traditional absolute error to show the accuracy, we use a novel condition and the CESTAC main theorem allows us to do that. Plotting several <i>ℏ</i>-curves the regions of convergence are demonstrated. The numerical approximations are obtained based on both arithmetics.
topic malaria infection
discrete stochastic arithmetic
CESTAC method
CADNA library
homotopy analysis transform method
url https://www.mdpi.com/2227-7390/9/9/1031
work_keys_str_mv AT samadnoeiaghdam dynamicalstrategytocontroltheaccuracyofthenonlinearbiomathematicalmodelofmalariainfection
AT sandamicula dynamicalstrategytocontroltheaccuracyofthenonlinearbiomathematicalmodelofmalariainfection
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