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A multiple-scale power series method for solving nonlinear ordinary differential equations

机译:求解非线性常微分方程的多尺度幂级数方法

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The power series solution is a cheap and effective method to solve nonlinear problems, like the Duffing-van der Pol oscillator, the Volterra population model and the nonlinear boundary value problems. A novel power series method by considering the multiple scales $R_k$ in the power term $(t/R_k)^k$ is developed, which are derived explicitly to reduce the ill-conditioned behavior in the data interpolation. In the method a huge value times a tiny value is avoided, such that we can decrease the numerical instability and which is the main reason to cause the failure of the conventional power series method. The multiple scales derived from an integral can be used in the power series expansion, which provide very accurate numerical solutions of the problems considered in this paper.
机译:幂级数解是解决非线性问题(如Duffing-van der Pol振荡器,Volterra种群模型和非线性边值问题)的廉价有效方法。提出了一种新的幂级数方法,该方法考虑了幂项$(t / R_k)^ k $中的多个标度$ R_k $,明确推导该方法以减少数据插值中的不良情况。该方法避免了大数值乘小数值,从而可以减少数值的不稳定性,这是造成常规幂级数方法失败的主要原因。幂级数展开式可以使用从积分中获得的多个比例,这可以为本文中考虑的问题提供非常精确的数值解决方案。

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