Numerical quadrature over smooth, closed surfaces

The numerical approximation of definite integrals, or quadrature, often involves the construction of an interpolant of the integrand and its subsequent integration. In the case of one dimension it is natural to rely on polynomial interpolants. However, their extension to two or more dimensions can b...

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Bibliographic Details
Published in:Proceedings of the Royal Society. A, Mathematical, physical, and engineering sciences Mathematical, physical, and engineering sciences, 2016-10, Vol.472 (2194), p.20160401-20160401
Main Authors: Reeger, J. A., Fornberg, B., Watts, M. L.
Format: Article
Language:English
Subjects:
Quadrature
Radial Basis Function-Finite Differences
Radial Basis Functions
Surface Integral
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Summary:The numerical approximation of definite integrals, or quadrature, often involves the construction of an interpolant of the integrand and its subsequent integration. In the case of one dimension it is natural to rely on polynomial interpolants. However, their extension to two or more dimensions can be costly and unstable. An efficient method for computing surface integrals on the sphere is detailed in the literature (Reeger & Fornberg 2016 Stud. Appl. Math. 137, 174–188. (doi:10.1111/sapm.12106)). The method uses local radial basis function interpolation to reduce computational complexity when generating quadrature weights for any given node set. This article generalizes this method to arbitrary smooth closed surfaces.
ISSN:1364-5021
1471-2946
DOI:10.1098/rspa.2016.0401