In this paper we improve the cubature rules discussed in Sommariva and Vianello (2021) for the computation of integrals by radial basis functions (RBFs). More precisely, we introduce in the context of meshless cubature a leave-one-out cross validation criterion for the optimization of the RBF shape parameter. This choice allows us to get highly reliable and accurate results for any kind of both infinity and finite regularity RBF. The efficacy of this approximation scheme is tested by numerical experiments on complicated polygonal regions. The related MATLAB software is provided to the scientific community in [1].

RBFCUB: A numerical package for near-optimal meshless cubature on general polygons

Cavoretto R.
First
;
De Rossi A.;
2022-01-01

Abstract

In this paper we improve the cubature rules discussed in Sommariva and Vianello (2021) for the computation of integrals by radial basis functions (RBFs). More precisely, we introduce in the context of meshless cubature a leave-one-out cross validation criterion for the optimization of the RBF shape parameter. This choice allows us to get highly reliable and accurate results for any kind of both infinity and finite regularity RBF. The efficacy of this approximation scheme is tested by numerical experiments on complicated polygonal regions. The related MATLAB software is provided to the scientific community in [1].
2022
125
107704
-
Meshless cubature; Multivariate approximation; Polygonal regions; Radial basis functions; Scattered data
Cavoretto R.; De Rossi A.; Sommariva A.; Vianello M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1838918
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