本文主要借助拉格朗日插值逼近来求解常微分方程初值问题的近似解,利用插值基函数展开数值解,将问题转化为线性或非线性方程组,对非线性方程组采用不动点迭代法求解。数值实验表明,多区域方法比单区域方法误差更小。This article mainly...本文主要借助拉格朗日插值逼近来求解常微分方程初值问题的近似解,利用插值基函数展开数值解,将问题转化为线性或非线性方程组,对非线性方程组采用不动点迭代法求解。数值实验表明,多区域方法比单区域方法误差更小。This article mainly uses Lagrangian interpolation approximation to solve the approximation solution of the initial value problem of ordinary differential equations. The numerical solution is expanded by using interpolation basis functions, and the problem is transformed into a system of linear or nonlinear equations. The fixed-point iteration method is used to solve the system of nonlinear equations. Numerical experiments show that the multi-domain method has a smaller error than the single-region method.展开更多
文摘本文主要借助拉格朗日插值逼近来求解常微分方程初值问题的近似解,利用插值基函数展开数值解,将问题转化为线性或非线性方程组,对非线性方程组采用不动点迭代法求解。数值实验表明,多区域方法比单区域方法误差更小。This article mainly uses Lagrangian interpolation approximation to solve the approximation solution of the initial value problem of ordinary differential equations. The numerical solution is expanded by using interpolation basis functions, and the problem is transformed into a system of linear or nonlinear equations. The fixed-point iteration method is used to solve the system of nonlinear equations. Numerical experiments show that the multi-domain method has a smaller error than the single-region method.
