Fast Radial Basis Function Interpolation via Preconditioned Krylov Iteration
نویسندگان
چکیده
منابع مشابه
Fast Radial Basis Function Interpolation via Preconditioned Krylov Iteration
We consider a preconditioned Krylov subspace iterative algorithm presented by Faul et al. (IMA Journal of Numerical Analysis (2005) 25, 1—24) for computing the coefficients of a radial basis function interpolant over N data points. This preconditioned Krylov iteration has been demonstrated to be extremely robust to the distribution of the points and the iteration rapidly convergent. However, th...
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ژورنال
عنوان ژورنال: SIAM Journal on Scientific Computing
سال: 2007
ISSN: 1064-8275,1095-7197
DOI: 10.1137/060662083