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Abstract
We present an adaptive moving mesh strategy endowed with a mass conservation property for the numerical solution of the two-dimensional linear transport equation. We achieve this through the solution of an auxiliary moving mesh problem driven by a gradient based monitor function. The method we propose is of staggered type, hence requires an appropriate data transfer operator over different meshes. We make use of an L 2 projection operator that requires the construction of a supermesh for evaluation. We summarise extensive numerical experiments aimed at testing the robustness of the method and its ability to approximate challenging numerical features.
Original language | English |
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Title of host publication | Mesh Generation and Adaptation |
Place of Publication | Cham, Switzerland |
Publisher | Springer |
Pages | 277-299 |
Number of pages | 23 |
ISBN (Electronic) | 9783030925406 |
ISBN (Print) | 9783030925390 |
DOIs | |
Publication status | E-pub ahead of print - 21 Feb 2022 |
Publication series
Name | SEMA SIMAI Springer Series |
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Volume | 30 |
ISSN (Print) | 2199-3041 |
ISSN (Electronic) | 2199-305X |
Bibliographical note
Funding Information:Acknowledgments This research has been funded in part by the EPSRC through the CDT program in Statistical and Applied Mathematics at the University of Bath (EPSRC Reference: EP/L015684/1). We thank the MET Office staff and the reviewer of this manuscript for their valuable advice and comments.
Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ASJC Scopus subject areas
- Computational Mechanics
- Numerical Analysis
- Agricultural and Biological Sciences (miscellaneous)
- Physics and Astronomy (miscellaneous)
- Fluid Flow and Transfer Processes
- Computational Mathematics
- Industrial and Manufacturing Engineering
- Applied Mathematics
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Programme Grant: Mathematics of Deep Learning
Budd, C. (PI) & Ehrhardt, M. (CoI)
Engineering and Physical Sciences Research Council
31/01/22 → 30/01/27
Project: Research council