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Energy-Stable Global Radial Basis Function Methods on Summation-By-Parts Form

Jan Glaubitz, Jan Nordström, Philipp Öffner

2024Journal of Scientific Computing11 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

MathematicsStability (learning theory)Radial basis functionFinite element methodBasis (linear algebra)Function (biology)Partial differential equationSummation by partsApplied mathematicsNumerical stabilityFocus (optics)Boundary (topology)Boundary value problemNumerical analysisMathematical analysisCalculus (dental)Computer scienceGeometryMedicineOpticsEvolutionary biologyThermodynamicsDentistryPhysicsArtificial neural networkBiologyMachine learningNumerical methods in engineeringElectromagnetic Simulation and Numerical MethodsAdvanced Numerical Methods in Computational Mathematics
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