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Numerical comparison of methods for solving second-order ordinary initial value problems

机译:二阶普通初值问题求解方法的数值比较

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摘要

In this paper, we apply Adomian decomposition method (shortly, ADM) to develop a fast and accurate algorithm of a special second-order ordinary initial value problems. The ADM does not require discretization and consequently of massive computations. This paper is particularly concerned with the ADM and the results obtained are compared with previously known results using the Quintic C~2-spline integration methods. The numerical results demonstrate that the ADM is relatively accurate and easily implemented.
机译:在本文中,我们使用Adomian分解方法(简称ADM)来开发一种快速,准确的特殊二阶普通初值问题的算法。 ADM不需要离散化,因此不需要大量计算。本文特别关注ADM,并使用Quintic C〜2样条积分方法将获得的结果与先前已知的结果进行比较。数值结果表明,ADM相对准确且易于实施。

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