Kortewego-de Vries方程的Hermite函数谱配置方法
Generalized Hermite Function Spectral-Collocation Method for KdV Equations
摘要: 以Hermite-Gauss节点为配置点,用带松弛因子的Hermite函数谱配置方法求数值解,逼近无界区域上的Kortewego-de Vries方程Cauchy问题的理论解,给出算法格式和相应的数值结果,表明所提算法格式的有效性和高精度。适当地选择松弛因子,使得数值解更好地匹配理论解的渐进行为,所给算法尤其适合于非线性问题。
Abstract: The paper deals with the numerical solutions of initial value problem of KdV equation on un-bounded interval that approximates the solution of the Kortewego-de Vries equation, in which Hermite-Gauss nodes are used to collocate nodes of spectral collocation method. Selecting appro-priately the relaxation factor   involved in the generalized Hermite functions approximation enables us to fit the asymptotic behaviors of exact solutions at infinity closely. Numerical results demonstrate its efficiency and high accuracy of this approach. Especially, it is much easier to deal with nonlinear equation.
文章引用:李冰冰, 王天军. Kortewego-de Vries方程的Hermite函数谱配置方法[J]. 应用数学进展, 2019, 8(4): 631-637. https://doi.org/10.12677/AAM.2019.84070

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