2001
DOI: 10.1137/s003614290138471x
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A Robust Adaptive Method for a Quasi-Linear One-Dimensional Convection-Diffusion Problem

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Cited by 115 publications
(88 citation statements)
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“…Many people use the arc-length as the monitor function, namely M = 1 + |u | 2 or its discrete analogue [12,13,24,29]. The first order uniform convergence on the equidistributed grid is obtained even for the fully adapted algorithm [13,24].…”
Section: Introductionmentioning
confidence: 99%
“…Many people use the arc-length as the monitor function, namely M = 1 + |u | 2 or its discrete analogue [12,13,24,29]. The first order uniform convergence on the equidistributed grid is obtained even for the fully adapted algorithm [13,24].…”
Section: Introductionmentioning
confidence: 99%
“…In fact, as lim | − |→0 ( ) [ , ] /| − | = | ( )|, we can observe an equidistribution of the solution gradient | ( )| in the range-discrete grid. This is an obvious adaptive criterion widely used in many adaptive mesh methods [19,28,29]. While complex adaptive operations have to be involved in these methods, it is done by the range-discrete mesh simply via a equidistance discretization in value domain.…”
Section: Range-discrete Meshmentioning
confidence: 99%
“…The moving mesh method [6] will be used to solve . The drawback of this strategy is that, with the introduction of the mesh equations which govern mesh movement, the system becomes nonlinear for any linear problem; hence very little theoretical analysis [1,7,18,19] has been carried out to explain the convergence behaviour of the method. The following assumptions will be made: for all ( , ) ∈ Ω, ‖ ( )/ ‖ ≤ , for some constant and at = T, ‖ ( , )/ ‖ ∼ ( ) and ‖ ( )/ ‖ ∼ ( ).…”
Section: Abstract and Applied Analysismentioning
confidence: 99%
“…The use of adapted meshes [1][2][3] in the numerical solution of differential equations has become a popular technique for improving existing approximation schemes. When considering an adaptive mesh algorithm for the solution of time dependent differential equations [4][5][6], the techniques which underpin the grid movement are often found in the literature [4,6,7] for the generation of adapted grids for the numerical solution of steady problems.…”
Section: Introductionmentioning
confidence: 99%