Fast Evaluation of Radial Basis Functions: Moment-Based Methods
- 1 September 1998
- journal article
- Published by Society for Industrial & Applied Mathematics (SIAM) in SIAM Journal on Scientific Computing
- Vol. 19 (5), 1428-1449
- https://doi.org/10.1137/s1064827595293569
Abstract
This paper presents a new method for the fast evaluation of univariate radial basis functions of the form $s(x) = \sum_{n=1}^N d_n \phi ( | x -x_n | ) $ to within accuracy $\epsilon$. The method can be viewed as a generalization of the fast multipole method in which calculations with far field expansions are replaced by calculations involving moments of the data. The method has the advantage of being adaptive to changes in $\phi$. That is, with this method changing to a new $\phi$ requires only coding a one- or two-line function for the (slow) evaluation of $\phi$. In contrast, adapting the usual fast multipole method to a new $\phi$ involves much mathematical analysis of appropriate series expansions and corresponding translation operators, followed by a substantial amount of work expressing this mathematics in code.
Keywords
This publication has 15 references indexed in Scilit:
- Fast evaluation of radial basis functions: methods for two-dimensional polyharmonic splinesIMA Journal of Numerical Analysis, 1997
- A Class of Bases in $L^2$ for the Sparse Representation of Integral OperatorsSIAM Journal on Mathematical Analysis, 1993
- Fast evaluation of radial basis functions: IComputers & Mathematics with Applications, 1992
- The Fast Gauss Transform with Variable ScalesSIAM Journal on Scientific and Statistical Computing, 1991
- Fast wavelet transforms and numerical algorithms ICommunications on Pure and Applied Mathematics, 1991
- On the fast matrix multiplication in the boundary element method by panel clusteringNumerische Mathematik, 1989
- A Fast Adaptive Multipole Algorithm for Particle SimulationsSIAM Journal on Scientific and Statistical Computing, 1988
- A fast algorithm for particle simulationsJournal of Computational Physics, 1987
- A hierarchical O(N log N) force-calculation algorithmNature, 1986
- An Efficient Program for Many-Body SimulationSIAM Journal on Scientific and Statistical Computing, 1985