Abstract
This paper is concerned with the fast summation of radial functions by the fast Fourier transform for nonequispaced data. We enhance the fast summation algorithm proposed in [20] by introducing a new regularization procedure based on the two-point Taylor interpolation by algebraic polynomials and estimate the corresponding approximation error. Our error estimates are more sophisticated than those in [20]. Beyond the kernels Kß(x) = 1/|x|ß(ß ∈ N), we are also interested in the generalized multiquadrics which play an important role in the approximation of functions by-radial basis functions.
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Fenn, M., Steidl, G. Fast NFFT Based Summation of Radial Functions. STSIP 3, 5–28 (2004). https://doi.org/10.1007/BF03549403
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DOI: https://doi.org/10.1007/BF03549403