1994
DOI: 10.1137/0731038
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Moving Mesh Partial Differential Equations (MMPDES) Based on the Equidistribution Principle

Abstract: This paper considers several moving mesh partial differential equations that are related to the equidistribution principle. Several of these are new, and some correspond to discrete moving mesh equations that have been used by others. Their stability is analyzed and it is seen that a key term for most of these moving mesh PDEs is a source-like term that measures the level of equidistribution. It is shown that under weak assumptions mesh crossing cannot occur for most of them. Finally, numerical experiments for… Show more

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Cited by 321 publications
(309 citation statements)
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“…[1,3,22,33,37,39,40]). Here, we adopt the so-called moving mesh PDE approach [31][32][33] in which a time-dependent PDE is introduced to determine the motion of the mesh. Both the moving mesh PDE (MMPDE) and the underlying physical equations are solved simultaneously or alternately.…”
Section: The Moving Meshmentioning
confidence: 99%
“…[1,3,22,33,37,39,40]). Here, we adopt the so-called moving mesh PDE approach [31][32][33] in which a time-dependent PDE is introduced to determine the motion of the mesh. Both the moving mesh PDE (MMPDE) and the underlying physical equations are solved simultaneously or alternately.…”
Section: The Moving Meshmentioning
confidence: 99%
“…In the one-dimensional case, the concept of equidistribution [19], [5], [11], [17] has proved useful in constructing good meshes. However, in spite of recent advances [6], [7], [18], the extension of this idea to higher-dimensional domains with a non-trivial geometry remains problematic.…”
Section: Introductionmentioning
confidence: 99%
“…The scalar parameter λ k is selected in each update to maintain this normalization. Because of the equidistribution principle (19) we see that consecutive updates will keep changing Φ N until all components of the error estimateR [k] …”
Section: Grid Generation and Refinement: The Control Algorithmmentioning
confidence: 99%
“…(In a more general setting such operations would be handled by digital filters both in time and space.) Further work on moving meshes can be found in [9] and [19]. In Section 2 we characterize the optimal grid density function associated with a given monitor function, using a variation principle.…”
mentioning
confidence: 99%