Moving least square for systems of integral equations

作者:

Highlights:

摘要

This paper aims at developing a meshless approximation based on the Moving Least Square (MLS), in addition to its application for solving a system of linear Fredholm integral equations of the second kind. For the MLS, nodal points are used to approximate the unknown functions. These points can be selected as regular or random from the domain under study. The method is a meshless one, and since it uses a local shape function in the vicinity of each nodal point which is chosen from the support points, it does not depend on the geometry of the domain. In this method, the unknown function is considered as a vector of functions of its kind. An error analysis has also been provided for this new method. A simple and efficient application of this method has also demonstrated through several numerical examples.

论文关键词:Meshless method,Moving least square,The system of Fredholm integral equation,Numerical solution,Error analysis

论文评审过程:Received 13 February 2015, Revised 24 June 2015, Accepted 19 August 2015, Available online 14 September 2015, Version of Record 14 September 2015.

论文官网地址:https://doi.org/10.1016/j.amc.2015.08.098