数学
搭配(遥感)
搭配法
偏微分方程
径向基函数
代数方程
应用数学
非线性系统
数学分析
微分方程
常微分方程
计算机科学
人工神经网络
量子力学
机器学习
物理
作者
Rahman Ullah,Ihteram Ali,Sadaf Shaheen,Tahir Khan,Faiz Faizullah,Hamid Rahman
摘要
In this paper, the radial basis function (RBF) collocation method is applied to solve nonlinear partial differential equations (PDEs). First, the given equation is reduced to time-discrete form using Ө-weighted scheme. Then, with the help of RBFs, the given PDEs are transformed into a system of algebraic equations that is easy to solve. The proposed technique is verified by solving Hunter–Saxton and Gardner equations. For the solution of these problems, three types of RBFs, including multiquadric (MQ), inverse multiquadric (IMQ), and Gaussian (GA) have been used. The obtained solution is validated with the help of absolute error, L2, and L∞ error norms. The involved shape parameter is selected by the automatic algorithm that lies in the stable region of the method. The stability of the scheme is discussed by the spectral matrix method and validated computationally.
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