泰勒级数
数学
搭配法
搭配(遥感)
应用数学
移动最小二乘法
多项式的
无网格法
偏微分方程
解算器
数学分析
微分方程
数学优化
常微分方程
计算机科学
有限元法
热力学
机器学习
物理
作者
Xiaodong Wang,Ying Liu,Jie Ouyang
标识
DOI:10.1016/j.enganabound.2020.04.002
摘要
This paper presents a meshfree collocation method for solving high order partial differential equations (PDEs). The leading numerical difficulty is the approximation of high order derivatives. To make the approximation simple and efficient, a moving Taylor polynomial (MTP) approximation is presented by using movable expansion point for each sub-domain. Derivatives can be derived straightforward from the corresponding Taylor coefficients, which are determined by solving a weighted least squares problem. A distinct feature of the method is its ability to give the derivatives along with the shape function itself without further cost. To ensure the accuracy of high order approximation, stability of the weighted least squares problems for determining the Taylor coefficients is another issue should be addressed. For this purpose, the basis functions are rescaled by the size of window functions, and QR decomposition is adopted to solve the weighted least squares problems. The collocation method based on this MTP approximation does not require any grid or background cell, so it is a truly meshfree method. When solving the linear algebraic system generated by the MTP collocation method, a preconditioned sparse biconjugate gradients stabilized (BICGSTAB) solver is used to accelerate the computation speed. Numerical tests show that the proposed method is much accurate and efficient for high order PDEs.
科研通智能强力驱动
Strongly Powered by AbleSci AI