Article ID Journal Published Year Pages File Type
4639797 Journal of Computational and Applied Mathematics 2012 11 Pages PDF
Abstract

This article investigates the numerical solution of the nonlinear integro-differential equations. The numerical scheme developed in the current paper is based on the moving least square method. The moving least square methodology is an effective technique for the approximation of an unknown function by using a set of disordered data. It consists of a local weighted least square fitting, valid on a small neighborhood of a point and only based on the information provided by its nn closet points. Hence the method is a meshless method and does not need any background mesh or cell structures. The error analysis of the proposed method is provided. The validity and efficiency of the new method are demonstrated through several tests.

Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
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