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An Efficient Numerical Scheme for Biological Models in the Frame of Bernoulli Wavelets    
Yazarlar
Fei Li
Haci Mehmet Baskonus
S. Kumbinarasaiah
G. Manohara
Wei Gao
Doç. Dr. Esin İLHAN Doç. Dr. Esin İLHAN
Kırşehir Ahi Evran Üniversitesi
Özet
This article considers three types of biological systems: the dengue fever disease model, the COVID-19 virus model, and the transmission of Tuberculosis model. The new technique of creating the integration matrix for the Bernoulli wavelets is applied. Also, the novel method proposed in this paper is called the Bernoulli wavelet collocation scheme (BWCM). All three models are in the form system of coupled ordinary differential equations without an exact solution. These systems are converted into a system of algebraic equations using the Bernoulli wavelet collocation scheme. The numerical wave distributions of these governing models are obtained by solving the algebraic equations via the Newton-Raphson method. The results obtained from the developed strategy are compared to several schemes such as the Runge Kutta method, and ND solver in mathematical software. The convergence analyses are discussed through theorems. The newly implemented Bernoulli wavelet method improves the accuracy and converges when it is compared with the existing methods in the literature.
Anahtar Kelimeler
Biological systems | system of coupled ODEs | bernoulli wavelets | functional matrix | collocation technique
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
Dergi ISSN 1526-1492
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q2
Makale Dili Türkçe
Basım Tarihi 01-2023
Cilt No 137
Sayı 3
Sayfalar 2381 / 2408
Doi Numarası 10.32604/cmes.2023.028069
Makale Linki https://www.webofscience.com/wos/woscc/full-record/WOS:001026635200001