2022
DOI: 10.3389/fams.2022.1005330
|View full text |Cite
|
Sign up to set email alerts
|

Numerical treatment of singularly perturbed parabolic partial differential equations with nonlocal boundary condition

Abstract: This paper presents numerical treatments for a class of singularly perturbed parabolic partial differential equations with nonlocal boundary conditions. The problem has strong boundary layers at x = 0 and x = 1. The nonstandard finite difference method was developed to solve the considered problem in the spatial direction, and the implicit Euler method was proposed to solve the resulting system of IVPs in the temporal direction. The nonlocal boundary condition is approximated by Simpsons 13 rule. The stability… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
2
2

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 26 publications
0
2
0
Order By: Relevance
“…In this section, to validate the developed numerical numerical techniques, we solved model examples. As it is tedious to compute the exact solutions of the examples, we apply a variant of the double mesh principle [16,18] as given in Algorithm 1.…”
Section: Numerical Experiments and Discussionmentioning
confidence: 99%
“…In this section, to validate the developed numerical numerical techniques, we solved model examples. As it is tedious to compute the exact solutions of the examples, we apply a variant of the double mesh principle [16,18] as given in Algorithm 1.…”
Section: Numerical Experiments and Discussionmentioning
confidence: 99%
“…In [20], the researchers introduced a fitted operator average finite difference method. Wondimu et al [21] developed a numerical method for solving singularly perturbed parabolic partial differential equations with nonlocal boundary condition using non-standard finite difference method for spatial direction and implicit Euler method for temporal direction.…”
Section: Introductionmentioning
confidence: 99%