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A Numerical Algorithm for the Solutions of ABC
Singular Lane–Emden Type Models Arising in
Astrophysics Using Reproducing Kernel
Discretization Method

Research Abstract
This paper deals with the numerical solutions and convergence analysis for general singular Lane–Emden type models of fractional order, with appropriate constraint initial conditions. A modified reproducing kernel discretization technique is used for dealing with the fractional Atangana–Baleanu–Caputo operator. In this tendency, novel operational algorithms are built and discussed for covering such singular models in spite of the operator optimality used. Several numerical applications using the well-known fractional Lane–Emden type models are examined, to expound the feasibility and suitability of the approach. From a numerical viewpoint, the obtained results indicate that the method is intelligent and has several features stability for dealing with many fractional models emerging in physics and mathematics, using the new presented derivative.
Research Authors
Omar Abu Arqub
Mohamed S. Osman
Abdel-Haleem Abdel-Aty
Abdel-Baset A. Mohamed
Shaher Momani
Research Department
Research Journal
Mathematics
Research Pages
923
Research Publisher
MDPI
Research Rank
1
Research Vol
8
Research Website
https://www.mdpi.com/2227-7390/8/6/923
Research Year
2020