Numerical approximations for the Riesz space fractional advection-dispersion equations via radial basis functions

The radial basis functions collocation method is developed to solve Riesz space fractional advection-dispersion equation (RSFADE). To do this, we first provide the Riemann-Liouville fractional derivatives of the five kinds of RBFs, including the Powers, Gaussian, Multiquadric, Matérn and Thin-plate...

Full description

Saved in:
Bibliographic Details
Published in:Applied numerical mathematics Vol. 144; pp. 59 - 82
Main Authors: Saberi Zafarghandi, Fahimeh, Mohammadi, Maryam
Format: Journal Article
Language:English
Published: Elsevier B.V 01.10.2019
Subjects:
Meshless method
Radial basis functions
Riemann-Liouville fractional derivatives
Riesz space fractional advection-dispersion equation
Radial basis functions
Riesz space fractional advection-dispersion equation
Riemann-Liouville fractional derivatives
Meshless method
ISSN:0168-9274, 1873-5460
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The radial basis functions collocation method is developed to solve Riesz space fractional advection-dispersion equation (RSFADE). To do this, we first provide the Riemann-Liouville fractional derivatives of the five kinds of RBFs, including the Powers, Gaussian, Multiquadric, Matérn and Thin-plate splines, in one dimension. Then a method of lines, implemented as a meshless method based on spatial trial spaces spanned by the RBFs is developed for the numerical solution of the RSFADE. Numerical experiments are presented to validate the newly developed method and to investigate accuracy and efficiency. The numerical rate of convergence in space is computed. The stability of the linear systems arising from discretizing the Riesz fractional derivative with RBFs is also analysed.
ISSN:0168-9274
1873-5460
DOI:10.1016/j.apnum.2019.05.011