2001
DOI: 10.1007/s006070170002
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A Higher-Order Scheme for Quasilinear Boundary Value Problems with Two Small Parameters

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Cited by 71 publications
(34 citation statements)
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“…The use of L < ln N enables meshes with a greater density in the layers, which improves accuracy of numerical results. This is of practical importance only since, theoretically, any L behaves like ln N as N → ∞, see [21]. It should also be noted that the constant a is another parameter for controlling the mesh density in the layers; the smaller the value of a, the greater the density.…”
Section: Meshmentioning
confidence: 99%
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“…The use of L < ln N enables meshes with a greater density in the layers, which improves accuracy of numerical results. This is of practical importance only since, theoretically, any L behaves like ln N as N → ∞, see [21]. It should also be noted that the constant a is another parameter for controlling the mesh density in the layers; the smaller the value of a, the greater the density.…”
Section: Meshmentioning
confidence: 99%
“…It is easy to verify that the discriminant of the quadratic function ω is nonpositive if τ N The standard decomposition argument does not apply to G. Rather, it is combined with the technique from [21]. G is decomposed as G = A + K, where K = [k ij ] and…”
Section: N/2 Ons(l)mentioning
confidence: 99%
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“…Vulanović [17] considers finite difference methods in the case of µ = ε 1 2 +λ , λ > 0. More recently, parameter-uniform numerical methods for the steady-state version of (1.1) were examined by Linß and Roos [4], Roos and Uzelac [11] and O'Riordan et al [9].…”
mentioning
confidence: 99%
“…Numerical methods for one-dimensional singularly perturbed problems with two small parameters are considered in [3,4,[6][7][8][10][11][12], but on a Shishkin-type mesh. Vulanović [12] considered Shishkin and Bakhvalov meshes but assumed ε 2 = ε p+1/2 1 with p > 0.…”
Section: Introductionmentioning
confidence: 99%