阿多米亚分解法

S. Chakraverty, N. Mahato, P. Karunakar, T. D. Rao
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引用次数: 0

摘要

Adomian分解法(ADM)是一种求解线性和非线性微分方程的有效半解析方法。它允许我们处理非线性初值问题(IVPs)和边值问题。该方法的求解技术主要是将非线性算子方程的解分解为一系列函数。所得到的级数的每一项都是从解析函数展开成幂级数时产生的多项式发展而来的。本章介绍了用ADM求解线性和非线性常微分方程/偏微分方程的过程,并附有示例问题,以便清楚地理解。它还提出了线性和非线性ivp,以便清楚地理解常微分方程的ADM。ADM将偏微分方程组转化为一组易于处理的递归关系。为了理解这种方法,我们可以考虑线性偏微分方程组。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adomian Decomposition Method
The Adomian decomposition method (ADM) is an efficient semi‐analytical technique used for solving linear and nonlinear differential equations. It permits us to handle both nonlinear initial value problems (IVPs) and boundary value problems. The solution technique of this method is mainly based on decomposing the solution of nonlinear operator equation to a series of functions. Each presented term of the obtained series is developed from a polynomial generated in the expansion of an analytic function into a power series. This chapter presents procedures for solving linear as well as nonlinear ordinary/partial differential equations by the ADM along with example problems for clear understanding. It also presents linear and nonlinear IVPs for clear understanding of the ADM for ordinary differential equations. ADM transforms system of partial differential equations into a set of recursive relation that can easily be handled. To understand the method, one can consider the system of linear partial differential equations.
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