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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 Authors
Omar Abu Arqub
Mohamed S. Osman
Abdel-Haleem Abdel-Aty
Abdel-Baset A. Mohamed
Shaher Momani
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 Department
Research Journal
Mathematics
Research Publisher
MDPI
Research Rank
1
Research Vol
8
Research Website
https://www.mdpi.com/2227-7390/8/6/923
Research Year
2020
Research Pages
923