A LOCAL MESHLESS RBF METHOD FOR SOLVING FRACTIONAL INTEGRO-DIFFERENTIAL EQUATIONS WITH OPTIMAL SHAPE PARAMETERS

Authors

  • Mehdi Safinejad Graduate University of Advanced Technology - Department of Mathematics
  • Mahmoud Mohseni Moghaddam Graduate University of Advanced Technology - Department of Mathematics

Keywords:

fractional calculus, local meshless methods, fractional integral-differential equations, collocation methods, optimal shape parameter

Abstract

This paper investigates the application of the meshless local radial basis functions collocation method (LRBFCM) for the numerical solution of fractional integro-differential equation and two-dimensional fractional Volterra integral equation.  Unlike the traditional global RBF collocation method, dividing the collocation of the problem in the global domain into many local regions, and therefore, the ill-conditioning of the problem is reduced and becomes highly stable.  Here, we use the multiquadric (MQ) radial basis function that includes a shape parameter, which plays an important role in the accuracy of method.  Scaling of the shape parameter to make local RBF approximation insensitive is performed by particle swarm optimization (PSO) algorithm.  Some test problems are studied and the numerical results shows the efficiency of the method.

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Published

2019-02-27

How to Cite

Safinejad, M., & Moghaddam, M. M. (2019). A LOCAL MESHLESS RBF METHOD FOR SOLVING FRACTIONAL INTEGRO-DIFFERENTIAL EQUATIONS WITH OPTIMAL SHAPE PARAMETERS. Italian Journal of Pure and Applied Mathematics, 41, 382–398. Retrieved from https://journals.uniurb.it/index.php/ijpam/article/view/7115

Issue

Section

Articoli - Forum Editrice

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