2022
DOI: 10.46793/kgjmat2201.065w
|View full text |Cite
|
Sign up to set email alerts
|

Uniformly Convergent Numerical Method for Singularly Perturbed Delay Parabolic Differential Equations Arising in Computational Neuroscience

Abstract: The motive of this work is to develop ε-uniform numerical method for solving singularly perturbed parabolic delay differential equation with small delay. To approximate the term with the delay, Taylor series expansion is used. The resulting singularly perturbed parabolic differential equation is solved by using non-standard finite difference method in spatial direction and implicit Runge-Kutta method for the resulting system of IVPs in temporal direction. Theoretically the developed method is shown to be accur… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
9
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
9
1

Relationship

3
7

Authors

Journals

citations
Cited by 25 publications
(10 citation statements)
references
References 12 publications
0
9
0
Order By: Relevance
“…Using ( 27) into (32), we obtain a boundary value problem of the type L M e j+1 (x) � O(Δt) 3 with e j+1 (0, t j+1 ) � 0 and e j+1 (2) � 0. Applying Lemma 5, we can obtain an estimate for the local truncation error as ‖e j+1 ‖ ≤ C(Δt) 3 .…”
Section: Lemma 5 (Semidiscrete Maximum Principle) For a Sufciently Sm...mentioning
confidence: 99%
“…Using ( 27) into (32), we obtain a boundary value problem of the type L M e j+1 (x) � O(Δt) 3 with e j+1 (0, t j+1 ) � 0 and e j+1 (2) � 0. Applying Lemma 5, we can obtain an estimate for the local truncation error as ‖e j+1 ‖ ≤ C(Δt) 3 .…”
Section: Lemma 5 (Semidiscrete Maximum Principle) For a Sufciently Sm...mentioning
confidence: 99%
“…Let us sub-divide the domain [0, 2] into n uniform meshes of size h, such that D N s = {0 = s 0 , s 1 , ..., s n/2 = 1, s n/2+1 , ..., s n = 2, s i = s 0 + ih, i = 0(1)n, h = 2/n}. According to the procedures in [36], we consider a constant coefficient sub-equation from Equation (14) as as the approximation of W j+1 (s) at the grid point s i , we have…”
Section: Fully-discrete Schemementioning
confidence: 99%
“…To construct a genuine finite difference scheme for the problem of the form in Equation (1), we use the methods described in Woldaregay and Duressa [26]. The constant coefficient given in Equation (3) without the time variable is considered as follows.…”
Section: Spatial Semi-discretizationmentioning
confidence: 99%