生理学中一类奇异非线性两点边值问题的可靠算法

IF 0.9 Q3 COMPUTER SCIENCE, THEORY & METHODS
S. Gupta, Devendra Kumar, Jagdev Singh
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引用次数: 0

摘要

在本文中,我们提出了一种可靠的数值算法来确定具有Robin边界条件的两点边值问题的近似解,这些问题在研究具有Michaelis-Menten摄取动力学的不同肿瘤生长问题、人头部热源的分散和球形细胞中稳态氧扩散时自然出现。该方法基于改进的Adomian多项式(AP)概念,并将两步Adomian分解法(TSADM)与pad近似法相结合。此外,还采用了Maple封装的ADMP来求解各种问题,它使用简单,效率高,只需输入具有初始或边界条件和各种基本参数的方程组,即可在几秒钟内给出解析近似解。所建议的方案不需要线性化、扰动、猜测初始项、一组基函数或其他限制假设,从而产生封闭形式的解。通过实例分析,明确了ADMP包的适用范围和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A reliable algorithm for a class of singular nonlinear two-point boundary value problems arising in physiology
In this paper, we present a reliable numerical algorithm to determine approximate solutions of the two-point boundary value problems having Robin boundary conditions that naturally occur in the investigation of distinct tumor growth issues, the dispersal of heat sources in the person head and steady state oxygen diffusion in spherical cell possessing Michaelis–Menten uptake kinetics. This approach is based on a modified concept of Adomian polynomials (AP), and the two-step Adomian decomposition method (TSADM) merged with Padé approximants. Furthermore a Maple package ADMP is applied to solve various problems, which is very easy to use and efficient and needed to input the system of equations with initial or boundary conditions and diverse essential parameters to deliver the analytic approximate solutions within a few seconds. The suggested scheme does not require linearization, perturbations, guessing the initial terms, a set of basis function or other limiting presumptions, which yields the solutions in closed form. Many examples are examined to make clear the scope and validity of the package ADMP.
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来源期刊
CiteScore
2.50
自引率
16.70%
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