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Polynomial solution of singular differential equations using Weighted Sobolev gradients

机译:使用加权SoboLev梯度的奇异微分方程的多项式解

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摘要

In this work, we proposed a new scheme based on Sobolev gradient approach for finding an approximate polynomial solution of certain first and second order ordinary differential equations. Continuous function instead of discretized differential operator is used to avoid numerical issues posed by the size of grid. For example, a simple first order equation is solved using different polynomial basis functions to illustrate the effectiveness of the algorithm. Then the theory of weighted Sobolev gradients is used for the singular Legendre's equation. Numerical experiments indicate that the new algorithm is more efficient than the previous algorithms discussed in the literature on the subject.
机译:在这项工作中,我们提出了一种基于SoboLev梯度方法的新方案,用于找到某些第一和二阶常微分方程的近似多项式解。连续功能而不是离散化差分运算符用于避免网格大小构成的数值问题。例如,使用不同多项式基础函数来解决简单的第一阶方程来说明算法的有效性。然后,加权SoboLev梯度的理论用于奇异的Legendre的等式。数值实验表明,新算法比对主题的文献中讨论的先前算法更有效。

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