Energy-Stable Global Radial Basis Function Methods on Summation-By-Parts Form
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10915_2023_Article_2427.pdf
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Author(s)
Glaubitz, Jan
Nordström, Jan
Öffner, Philipp
Date Issued
January 2, 2024
Publisher
Springer US
Citation
Journal of Scientific Computing. 2024 Jan 02;98(1):30
Version
Final published version
Abstract
Radial basis function methods are powerful tools in numerical analysis and have demonstrated good properties in many different simulations. However, for time-dependent partial differential equations, only a few stability results are known. In particular, if boundary conditions are included, stability issues frequently occur. The question we address in this paper is how provable stability for RBF methods can be obtained. We develop a stability theory for global radial basis function methods using the general framework of summation-by-parts operators often used in the Finite Difference and Finite Element communities. Although we address their practical construction, we restrict the discussion to basic numerical simulations and focus on providing a proof of concept.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1007/s10915-023-02427-8
