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Pouria Assari

Pouria Assari

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

Research

Title
The numerical solution of Volterra's population model Based on the collocation method and guassian functions
Type
Presentation
Keywords
Volterra's population model, Discrete collocation method, Gassian functions, Meshless method
Year
2020
Researchers Pouria Assari ، Fatemeh Asadi-Mehregan

Abstract

In this article, we investigate the construction of a computational method for solving Volterra's popu- lation model. The method rstly converts these types of Volterra's population model to Volterra integral equations and then utilizes the Guassian function (GAs) as a basis in the discrete collocation method to estimate the solution. 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 e ective and its algorithm can be easily implemented. The validity and effciency of the new technique are demonstrated through a numerical example.