1989
DOI: 10.1007/bf02238732
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A uniform numerical method for quasilinear singular perturbation problems without turning points

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Cited by 51 publications
(39 citation statements)
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“…15e-3 1.32e-1 6.94e-2 9.26e-2 1.11e-1 8.37e-1 9.29e-2 1.11e-1 8.41e-1 8.41e-1 1.04 0.95 0.99 0.88 0.99 0.88 64 4.46e-3 6.81e-2 6.55e-2 4.65e-2 6.02e-2 7.72e-1 4.67e-2 6.02e-2 7.75e-1 7.75e-1 1.02 0.98 1.00 0.94 1.00 0.94 128 2.20e-3 3.46e-2 6.36e-2 2.33e-2 3.14e-2 7.41e-1 2.34e-2 3.14e-2 7.44e-1 7.44e-1 1.01 0.99 1.00 0.97 1.00 0.97 256 1.09e-3 1.74e-2 6.27e-2 1.17e-2 1.61e-2 7.25e-1 1.17e-2 1.61e-2 7.28e-1 7.28e-1 1.00 0.99 1.00 0.98 1.00 0.98 512 5.45e-4 8.75e-3 6.22e-2 5.83e-3 8.12e-3 7.18e-1 5.85e-3 8.11e-3 7.21e-1 7.21e-1 see [17,21,31]. Note that our numerical results for the quasi-linear problem will be compared with the asymptotic solution u A (x), and since u(x) ∈ [−π/2, 0], we can take β = e −π/2 .…”
Section: Numerical Results For a Priori Chosen Meshesmentioning
confidence: 98%
See 1 more Smart Citation
“…15e-3 1.32e-1 6.94e-2 9.26e-2 1.11e-1 8.37e-1 9.29e-2 1.11e-1 8.41e-1 8.41e-1 1.04 0.95 0.99 0.88 0.99 0.88 64 4.46e-3 6.81e-2 6.55e-2 4.65e-2 6.02e-2 7.72e-1 4.67e-2 6.02e-2 7.75e-1 7.75e-1 1.02 0.98 1.00 0.94 1.00 0.94 128 2.20e-3 3.46e-2 6.36e-2 2.33e-2 3.14e-2 7.41e-1 2.34e-2 3.14e-2 7.44e-1 7.44e-1 1.01 0.99 1.00 0.97 1.00 0.97 256 1.09e-3 1.74e-2 6.27e-2 1.17e-2 1.61e-2 7.25e-1 1.17e-2 1.61e-2 7.28e-1 7.28e-1 1.00 0.99 1.00 0.98 1.00 0.98 512 5.45e-4 8.75e-3 6.22e-2 5.83e-3 8.12e-3 7.18e-1 5.85e-3 8.11e-3 7.21e-1 7.21e-1 see [17,21,31]. Note that our numerical results for the quasi-linear problem will be compared with the asymptotic solution u A (x), and since u(x) ∈ [−π/2, 0], we can take β = e −π/2 .…”
Section: Numerical Results For a Priori Chosen Meshesmentioning
confidence: 98%
“…where ε ∈ (0, 1] is a small parameter, and b u (x, u) has a positive lower bound, which implies that the solution u(x) generally has an exponential boundary layer at x = 0 [18,31]. As a result, the accuracy of classical numerical methods depends not only on the number of the meshnodes N but also on the parameter ε (e.g., for (1.1) the error depends on N/ε) [22,26].…”
Section: Introductionmentioning
confidence: 99%
“…Nonlinear problems of more general or different type than the problem (1)-(2) were studied in e.g. [5,12,17,30,31]. A large number of difference schemes belongs to the group of exponentially fitted schemes or their uniformly convergent versions.…”
Section: Introductionmentioning
confidence: 99%
“…It is easy to dérive analogous properties of the function X in ƒ". The same function X was used in [18] and a very similar in [17] (see mesh generating fonctions in [15], [16] and [20] as well). Essentially, the part w is a certain modification of the inverse of the interior layer function V z {x) for x 5= 0 (cf.…”
Section: The Discretization and Its Stabilitymentioning
confidence: 99%
“…We shall allow a mild nonlinearity of the problem and show that properties of the continuous solution may be used in order to obtain numerical methods uniform in E. We shall follow the technique from [18] {cf. [15], [16], [17], [20] and [9], [10] as well) which uses fînite-difference schemes on special non-equidistant meshes. In this paper we shall be interested in the uniformity in e, rather than in high accuracy.…”
Section: Introductionmentioning
confidence: 99%