IDEAS home Printed from https://ideas.repec.org/a/epw/ejmath/v3y2022i3id14120.html

A Three-Step Numerical Approximant Based on Block Hybrid Backward Differentiation Formula for Stiff System of Ordinary Differential Equations

Author

Listed:
  • Aliyu Ishaku Ma’ali

    (IBB University, Nigeria)

  • Umaru Mohammed

    (Federal University of Technology, Nigeria)

  • Akintububo G. Ben

    (Federal University of Technology, Nigeria)

  • Yusuf Dauda Jikantoro

    (IBB University, Nigeria)

Abstract

As long as the field of Engineering, Science and Technology exists, the place of Mathematical modelling that involves stiff systems cannot be overemphasized. Models involving stiff system may result in ordinary differential equations (ODEs) or sometimes as system of ordinary differential equations which must be solved by experts working in that field.However, solving these models using analytical approach may sometimes be challenging or even near impossible. Therefore, it puts a great measure of importance on research into numerical algorithmsfor solution of this class of ordinary differential equations.Premised on the above mentioned, we have formulated, in this paper, a class of backward differentiation formula (BDF) which is a three-step numerical approximant for stiff systems of ODEs. The method was obtained through continuous collocation approach with Legendre polynomial as basis function. We incorporated three off-grid points at interpolation in order that we may retain theBDF’s single function evaluation characteristic. Analyzing basic properties of numerical methods led us to see that the method was consistent, having a uniform order six, zero-stable and in turn, convergent. The method's region of absolute stability was determined using the general linear method, which was plotted and shown to be stable over a vast area. The approach enumerates the solution of stiff of systems ODEs block by block using some discrete schemes that are secured from the corresponding continuous scheme. The method was tested using numerical experiments, and the results, when compared to exact or analytical answers as well as some methods published in the literature, proved that the method is efficient and accurate.

Suggested Citation

Handle: RePEc:epw:ejmath:v:3:y:2022:i:3:id:14120
DOI: 10.24018/ejmath.2022.3.3.120
as

Download full text from publisher

File URL: https://eu-opensci.org/index.php/ejmath/article/view/14120
File Function: Abstract page
Download Restriction: no

File URL: https://eu-opensci.org/index.php/ejmath/article/download/14120/3170
File Function: Full text
Download Restriction: no

File URL: https://libkey.io/10.24018/ejmath.2022.3.3.120?utm_source=ideas
LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
---><---

More about this item

Keywords

;
;
;
;

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejmath:v:3:y:2022:i:3:id:14120. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Support Team (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejmath .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.