2004
DOI: 10.1016/j.apnum.2004.07.001
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Numerical analysis of a singularly perturbed nonlinear reaction–diffusion problem with multiple solutions

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Cited by 37 publications
(39 citation statements)
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“…In this section we present numerical results to confirm the uniform accuracy of the discrete problem (12)- (14). To demonstrate the efficiency of the method, we present two examples having boundary layers.…”
Section: Numerical Resultsmentioning
confidence: 99%
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“…In this section we present numerical results to confirm the uniform accuracy of the discrete problem (12)- (14). To demonstrate the efficiency of the method, we present two examples having boundary layers.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…In this section we prove the theorem on ϵ-uniform convergence of the discrete problem (12)- (14). The proof uses the decomposition of the solution y to the problem (1)-(2) to the layer s and a regular component r given by …”
Section: Uniform Convergencementioning
confidence: 99%
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“…Conditions (A1), (A2) intrinsically arise from the asymptotic analysis of problem (1.1) and guarantee that there exists a boundary-layer solution u of (1.1) such that u ≈ u 0 in the interior subdomain of Ω away from the boundary, while the boundary layer is of width O(ε| ln ε|) [6,12]; see Theorem 2.2 for a precise statement and [8] for a detailed discussion of (A1), (A2) in one dimension. Note that assumption (A1) is local, i.e., the reduced problem (1.2) is permitted to have more than one stable solution.…”
Section: Note That If G(x)mentioning
confidence: 99%
“…While the analysis and numerical results in this paper are given for the one-dimensional problem (1.1), much of what is here can be generalized to analogues of (1.1) posed in higher dimensions; compare the one-dimensional nonlinear problem discussed in [10] and the extension of this work to the two-dimensional case in [8], where a theoretical analysis and numerical results are presented. The onedimensional analysis is already so complex that the extra notation required to explain it in two dimensions would only obscure the central ideas that we wish to communicate.…”
Section: Introductionmentioning
confidence: 99%