乙型肝炎病毒数学模型的哈尔小波方法

K. S., Y. R
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摘要

本文讨论了小波技术中的哈小波配位法,以研究乙型肝炎病毒感染的数学模型。我们考虑了 HB 病毒、细胞毒性 T 淋巴细胞(CTL)免疫反应、出生率、死亡率、感染和未感染肝细胞等因素,以确定乙型肝炎病毒感染的动态变化。该模型由一个非线性常微分方程(ODE)系统构成。使用这种方法,可以通过将每个因变量表示为 Haar 小波,然后将常微分方程系统转换为非线性代数方程系统来求解乙型肝炎病毒模型。未知系数值的提取可使用配位程序和牛顿-拉斐森方法。用表格和图表说明了乙型肝炎病毒的特征。得出的结果表明,目前的方法在准确性方面优于文献中发现的其他方法。Mathematica 软件用于获得数值结果和性质。
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Haar Wavelet Approach for the Mathematical Model On Hepatitis B Virus
The Haar wavelet collocation method, a wavelet technique, is discussed in this article to examine the mathematical model of Hepatitis B virus infection. We took into account the HB virus, cytotoxic T lymphocytes (CTL) immune response, birth rate, death rate, and infected and uninfected hepatocytes to identify the dynamics of the hepatitis B virus infection. An ordinary differential equation (ODE) system that is nonlinear makes up this model. Using this method, the Hepatitis B Virus model can be solved by expressing each dependent variable as a Haar wavelet and then converting the system of ordinary differential equations into a system of nonlinear algebraic equations. The unknown coefficient values are thought to be extracted using the collocation procedure and the Newton-Raphson method. Tables and graphs are used to illustrate the characteristics of the Hepatitis B virus. The obtained results show that the current approach outperforms other approaches found in the literature in terms of accuracy. Mathematica software is utilized to obtain numerical results and nature.
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