1984
DOI: 10.1016/0045-7825(84)90009-4
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Variable mesh methods for the numerical solution of two-point singular perturbation problems

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Cited by 76 publications
(29 citation statements)
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“…When a,i---1, it reduces to the uniform mesh case. This non-uniform mesh has been successfully used by Jain, Iyengar and Subramanyam [4] in solving two point singular perturbation boundary value problems. Substituting the expressions for xs-1, x~+ 1 and expanding in Taylor's series, we get…”
Section: Splines and Finite Difference Methodsmentioning
confidence: 97%
“…When a,i---1, it reduces to the uniform mesh case. This non-uniform mesh has been successfully used by Jain, Iyengar and Subramanyam [4] in solving two point singular perturbation boundary value problems. Substituting the expressions for xs-1, x~+ 1 and expanding in Taylor's series, we get…”
Section: Splines and Finite Difference Methodsmentioning
confidence: 97%
“…For the convergence, the coefficients , , and associated with (5) and (15) must be negative (see, [22]), from which we obtain the condition | − √ 5/2| < 1/2. Now applying the methods (5) and (15) to (33) and using the similar technique discussed in Section 3 for singular coefficients ( ) and ( ), we obtain the following system of difference equations:…”
Section: Convergence Analysismentioning
confidence: 97%
“…The geometric mesh method for self-adjoint singular perturbation problems using 2 Advances in Numerical Analysis finite difference approximations was discussed in [21]. The use of geometric mesh in the context of boundary value problems was studied extensively in [22][23][24]. In this paper, we derive a geometric mesh finite difference method for the solution of fourth-and sixth-order differential boundary value problems with order of accuracy being three.…”
Section: Introductionmentioning
confidence: 99%
“…In these applications, bending stresses take place along very short zones, compared to the total length, which makes the use of standard finite difference or finite element techniques rather inefficient, as pointed out clearly in Burgess 1993. Some advanced numerical techniques have been developed to cope with these large gradients (Bieniasz 2008;Jain et al 1984;Rao and Kumar 2007;Stynes and Oriordan 1986), but their application is still troublesome as the boundary layer becomes very short.…”
Section: N O T C O P Y E D I T E Dmentioning
confidence: 99%