EconPapers    
Economics at your fingertips  
 

Solving Integro-Differential Boundary Value Problems Using Sinc-Derivative Collocation

Kenzu Abdella and Glen Ross
Additional contact information
Kenzu Abdella: Department of Mathematics, Statistics and Physics, Qatar University, P.O. Box 2173 Doha, Qatar
Glen Ross: Department of Mathematics, Trent University, Peterborough, ON K9J 7B8, Canada

Mathematics, 2020, vol. 8, issue 9, 1-13

Abstract: In this paper, the sinc-derivative collocation approach is used to solve second order integro-differential boundary value problems. While the derivative of the unknown variables is interpolated using sinc numerical methods, the desired solution and the integral terms are evaluated through numerical integration and all higher order derivatives are approximated through successive numerical differentiation. Suitable transformations are used to reduce non-homogeneous boundary conditions to homogeneous. Comparison of the proposed method with different approaches that were previously considered in the literature is carried out in order to test its accuracy and efficiency. The results show that the sinc-derivative collocation method performs well.

Keywords: integro-differential equation; boundary value problems; sinc-derivative; numerical methods; sinc-collocation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/8/9/1637/pdf (application/pdf)
https://www.mdpi.com/2227-7390/8/9/1637/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:8:y:2020:i:9:p:1637-:d:417530

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jmathe:v:8:y:2020:i:9:p:1637-:d:417530