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Multistep generalized transformation method applied to solving equations of discrete and continuous time-fractional enzyme kinetics

机译:多步广义变换方法求解离散和连续时间分数酶动力学方程

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In this paper, Caputo based Michaelis-Menten kinetic model based on Time Scale Calculus (TSC) is proposed. The main reason for its consideration is a study of tumor cells population growth dynamics. In the particular case discrete-continuous time kinetics, Michaelis-Menten model is numerically treated, using a new algorithm proposed by authors, called multistep generalized difference transformation method (MSGDETM). In addition numerical simulations are performed and is shown that it represents the upgrade of the multistep variant of generalized differential transformation method (MSGDTM). A possible conditions for its further development are discussed and possible experimental verification is described. (C) 2016 Elsevier B.V. All rights reserved.
机译:本文提出了基于Caputo的基于时标微积分(TSC)的Michaelis-Menten动力学模型。考虑它的主要原因是研究肿瘤细胞群体生长动力学。在特殊情况下的离散连续时间动力学中,使用作者提出的新算法,称为多步广义差分变换方法(MSGDETM),对Michaelis-Menten模型进行了数值处理。此外,进行了数值模拟,结果表明它代表了通用差分变换方法(MSGDTM)的多步变体的升级。讨论了其进一步开发的可能条件,并描述了可能的实验验证。 (C)2016 Elsevier B.V.保留所有权利。

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