2025 : 4 : 22
Pouria Assari

Pouria Assari

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 35253362500
HIndex:
Faculty: Faculty of Science
Address:
Phone: 08138213642

Research

Title
A Local Discrete Collocation Method for the Numerical Solution of Mixed Volterra-Fredholm Integral Equations
Type
Presentation
Keywords
Mixed integral equation, Discrete collocation method, MLS approximation, Scattered points
Year
2015
Researchers Pouria Assari

Abstract

The main purpose of this paper is to describe a computational method for solving nonlinear mixed Volterra-Fredholm integral equations of the second kind. The scheme utilizes the shape functions of the moving least squares (MLS) approximation constructed on distributed nodal points as a basis in the discrete collocation method. The MLS methodology is an effective technique for the approximation of an unknown function that involves a locally weighted least square polynomial fitting. The proposed method is meshless, since it is based upon the scattered data and does not require any background mesh or domain elements. The method is effective and its algorithm can be easily implemented. The validity and efficiency of the new technique are demonstrated through a numerical example.