2019
DOI: 10.1142/s0219876218400078
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Fitted Finite Difference Method for Third Order Singularly Perturbed Delay Differential Equations of Convection Diffusion Type

Abstract: In this paper, a fitted finite difference method on Shishkin mesh is suggested to solve a class of third order singularly perturbed boundary value problems for ordinary delay differential equations of convection-diffusion type. Numerical solution converges uniformly to the exact solution. The order of convergence of the numerical method is almost first order. Numerical results are provided to illustrate the theoretical results.

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Cited by 11 publications
(4 citation statements)
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“…Proof Refer [Mahendran and Subburayan (2018), Theorem 3.1] An immediate consequence of the above theorem is the following stability result.…”
Section: Stability Resultsmentioning
confidence: 96%
“…Proof Refer [Mahendran and Subburayan (2018), Theorem 3.1] An immediate consequence of the above theorem is the following stability result.…”
Section: Stability Resultsmentioning
confidence: 96%
“…A subclass of differential equations in which the term with the highest order derivative is multiplied by a small positive parameter (ε) and involves one or more shift arguments is said to be a singularly perturbed differential equation with delay [9]. Such problems frequently arise in the modeling of various physical systems, such as the human pupil-light reflex [10], the study of bistable devices in digital electronics [11], variational problem in control theory [12], immune response modeling [13], mathematical modeling in ecology [14], models to stabilize rotating and frozen waves [15], models for the physiological process [16].…”
Section: Introductionmentioning
confidence: 99%
“…Chen and Xu 9 proved the stability and accuracy of FEM and SDFEM for singularly perturbed problems. On the other side, the research on the higher‐order finite difference methods is considerably increased compared to FEM and SDFEM 10‐12 . Many authors suggested various types of finite difference schemes for solving the same type of equations.…”
Section: Introductionmentioning
confidence: 99%