Efficient k-Derivative Methods for Lane-Emden Equations and Related Stiff Problems
1 Department of Mathematical Sciences, Faculty of Basic and Applied Sciences, College of Science, Engineering and Technology, Osun State University, Osogbo, Nigeria
2 Department of Mathematics, Saadatu Rimi College of Education Kumbotso, Kano State
3 Department of Mathematics, University of Ilorin, Ilorin Nigeria
* Corresponding author: moogunniran@njmajournal.com.ng
2 Department of Mathematics, Saadatu Rimi College of Education Kumbotso, Kano State
3 Department of Mathematics, University of Ilorin, Ilorin Nigeria
* Corresponding author: moogunniran@njmajournal.com.ng
Abstract
Lane-Emden equations are one of singular classes of problems
in mathematical physics. Existing methods for this class of
problems are series and analytical methods. This study focuses
on the exploration of the possibility of a class of multi-derivative
methods for approximating its solution. Taylor’s series expansion
was applied on a new multi-derivative backward differenti
ation formula to obtain a new class of k-step, k-derivative
method containing one super-future point evaluation. The
k-derivative methods were applied to singular Lane-Emden
Equations and related stiff equations. Matlab codes were
written for the solution of problems considered and the results
obtained showed the competitive strength of these methods
with other methods. The methods developed have good sta
bility properties, a high degree of accuracy and are effective.
Keywords
k-derivative
Super-future point
Backward Differential Formula
Singular Lane-Emden Equations
Stiff Equations
Stability Properties
A-stability
How to Cite
Ogunniran, M. O., Haruna, Y., & Adeniyi, R. B. (2019). Efficient k-Derivative Methods for Lane-Emden Equations and Related Stiff Problems. Nigerian Journal of Mathematics and Applications, 28(1), 1−17.
M. O. Ogunniran, Y. Haruna, and R. B. Adeniyi, "Efficient k-Derivative Methods for Lane-Emden Equations and Related Stiff Problems," Nigerian Journal of Mathematics and Applications, vol. 28, no. 1, pp. 1−17, April 2019.