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Abstract
The principles of mesh equidistribution and alignment play a fundamental role in the design of adaptive methods, and a metric tensor and mesh metric are useful theoretical tools for understanding a method's level of mesh alignment, or anisotropy. We consider a mesh redistribution method based on the Monge–Ampère equation which combines equidistribution of a given scalar density function with optimal transport. It does not involve explicit use of a metric tensor, although such a tensor must exist for the method, and an interesting question to ask is whether or not the alignment produced by the metric gives an anisotropic mesh. For model problems with a linear feature and with a radially symmetric feature, we derive the exact form of the metric, which involves expressions for its eigenvalues and eigenvectors. The eigenvectors are shown to be orthogonal and tangential to the feature, and the ratio of the eigenvalues (corresponding to the level of anisotropy) is shown to depend, both locally and globally, on the value of the density function and the amount of curvature. We thereby demonstrate how the optimal transport method produces an anisotropic mesh along a given feature while equidistributing a suitably chosen scalar density function. Numerical results are given to verify these results and to demonstrate how the analysis is useful for problems involving more complex features, including for a nontrivial time dependant nonlinear PDE which evolves narrow and curved reaction fronts.
Original language  English 

Pages (fromto)  113137 
Number of pages  25 
Journal  Journal of Computational Physics 
Volume  282 
DOIs  
Publication status  Published  1 Feb 2015 
Keywords
 Alignment; Anisotropy; Mesh adaptation; Metric tensor; Monge–Ampère
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Dive into the research topics of 'The geometry of radaptive meshes generated using optimal transport methods'. Together they form a unique fingerprint.Projects
 1 Finished

Moving Meshes for Global Atmospheric Modelling
Natural Environment Research Council
1/09/15 → 31/08/18
Project: Research council