2019
DOI: 10.1186/s42787-019-0047-4
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Fourth-order stable central difference with Richardson extrapolation method for second-order self-adjoint singularly perturbed boundary value problems

Abstract: Fourth-order stable central difference with Richardson extrapolation method has been formulated for solving second-order self-adjoint singularly perturbed boundary value problems using the study design of both documentary review and numerical experimental using MATLAB R2013a software which gives more accurate numerical solution with the corresponding sixth-order convergent.

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Cited by 13 publications
(9 citation statements)
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References 12 publications
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“…A finite difference scheme is consistent if the limit of truncation error (TE) is equal to zero as the mesh size h goes to zero. Further, local truncation errors measure how well a finite difference discretization approximates the differential equation [19,21,[23][24][25][26].…”
Section: Consistency Of the Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…A finite difference scheme is consistent if the limit of truncation error (TE) is equal to zero as the mesh size h goes to zero. Further, local truncation errors measure how well a finite difference discretization approximates the differential equation [19,21,[23][24][25][26].…”
Section: Consistency Of the Methodsmentioning
confidence: 99%
“…The purpose of this section is to improve the accuracy and the order of convergence by convergence acceleration technique which involves a combination of two computed approximate solutions. The linear combination turns out to be a better approximation, [24,26].…”
Section: Richardson Extrapolationmentioning
confidence: 96%
“…Since A is real and symmetric it follows that A −1 is also real and symmetric so that, its eigenvalues are real and given by 1 λ s . Hence, as [19] the stability condition of the method will be satisfied when;…”
Section: Stability Analysismentioning
confidence: 99%
“…Based on the parameters, the perturbation and/or delay parameters they involved, singularly perturbed problems can be categorized into the singularly perturbed differential equations or singularly perturbed differential-difference equations. Many researchers, like in, [7]- [16] have been providing different numerical methods for solving singularly perturbed differentialdifference equations. But, most of those author's considered the stated problem when it involves one perturbation parameter.…”
Section: Introductionmentioning
confidence: 99%