Metric tensor recovery for adaptive meshing
Abstract
Adaptive computation is now recognized as essential for solving
complex PDE problems. Conceptually, such a computation requires at each step the definition of a continuous
metric field (mesh size and direction) to govern the generation of adapted meshes.
In practice, in the adaptive computation, an appropriate {\it a posteriori\/} error estimation is used
and an upper-bounding of the error is expressed in terms of discrete metrics associated with the element vertices.
In order to obtain a continuous metric
field, the discrete field is recovered in the whole domain mesh using an appropriate interpolation method on each element.
In this paper, a new method for interpolating discrete metric fields,
based on a so-called ``natural decomposition'' of metrics, is introduced.
The proposed method uses known matrix decompositions and is computationally robust and efficient.
Classical interpolation methods are recalled and,
from numerical examples on simplicial mesh elements,
some qualitative comparisons against the new methodology are made to show its relevance.