Superconvergent Non-Polynomial Approximations
Andrew Christlieb, William Sands, Hyoseon Yang

TL;DR
This paper presents a superconvergent RBF-based approximation method for conservation laws, enhancing accuracy in shock-capturing and finite volume WENO schemes, with practical implementation and improved convergence demonstrated.
Contribution
It develops high-order RBF-based finite volume WENO methods with superconvergence analysis, addressing shape parameter selection and hybrid implementation for conservation laws.
Findings
Improved accuracy in shock-capturing for hyperbolic systems
Notable convergence enhancements over traditional schemes
Effective application to weakly hyperbolic and nonlinear problems
Abstract
In this paper, we introduce a superconvergent approximation method that employs radial basis functions (RBFs) in the numerical solution of conservation laws. The use of RBFs for interpolation and approximation is a well developed area of research. Of particular interest in this work is the development of high order finite volume (FV) weighted essentially non-oscillatory (WENO) methods, which utilize RBF approximations to obtain required data at cell interfaces. Superconvergence is addressed through an analysis of the truncation error, resulting in expressions for the shape parameters that lead to improvements in the accuracy of the approximations. This study seeks to address the practical elements of the approach, including the evaluations of shape parameters as well as hybrid implementation. To highlight the effectiveness of the non-polynomial basis, in shock-capturing, the proposed…
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Taxonomy
TopicsComputational Fluid Dynamics and Aerodynamics · Fluid Dynamics and Turbulent Flows · Advanced Numerical Methods in Computational Mathematics
