A numerical method for suspension flow
Journal of Computational Physics
An adaptive grid with directional control
Journal of Computational Physics
Moving finite elements
Grid adaptation via node movement
Proceedings of international centre for mathematical sciences on Grid adaptation in computational PDES : theory and applications: theory and applications
The Mathematica Book
Cost-effectiveness of fully implicit moving mesh adaptation: a practical investigation in 1D
Journal of Computational Physics
Journal of Computational Physics
Robust, multidimensional mesh-motion based on Monge-Kantorovich equidistribution
Journal of Computational Physics
Generalized Monge-Kantorovich Optimization for Grid Generation and Adaptation in $L_{p}$
SIAM Journal on Scientific Computing
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A new approach to grid adaptation is presented. The method is based on two established foundations. First, the method is based upon variational grid adaptation, retaining all the well-known properties of robustness and regularity. Second, the adaptation method presented here is based on a general definition of the error detector obtained from the moving finite element (MFE) method. The error detector is general, applicable to any given problem, and does not require any a priori knowledge of the solution or of the physical behaviour of the system under investigation. The primary theoretical contribution of the present work is in establishing a link between various adaptation methods previously regarded as different and unrelated. We show that they all derive from the same approach and are all equivalent in the sense that the same grid is generated by all of them for the same problem, once the monitor functions are chosen according to our approach. The primary practical contribution of the present work is in prescribing a rigorous monitor function for previously published adaptation strategies. The choice proposed here is shown to outperform previous heuristic choices. The method is tested in a series of elliptic problems, where the adaptation strategy presented here can improve the accuracy by orders of magnitude.