
doi: 10.1002/mma.3239
This paper studies the construction and approximation of quasi‐interpolation for spherical scattered data. First of all, a kind of quasi‐interpolation operator with Gaussian kernel is constructed to approximate the spherical function, and two Jackson type theorems are established. Second, the classical Shepard operator is extended from Euclidean space to the unit sphere, and the error of approximation by the spherical Shepard operator is estimated. Finally, the compact supported kernel is used to construct quasi‐interpolation operator for fitting spherical scattered data, where the spherical modulus of continuity and separation distance of scattered sampling points are employed as the measurements of approximation error. Copyright © 2014 John Wiley & Sons, Ltd.
approximation error, spherical scattered data, Multidimensional problems, quasi-interpolation, Rate of convergence, degree of approximation, Inequalities in approximation (Bernstein, Jackson, Nikol'skiĭ-type inequalities), spherical basis function, Interpolation in approximation theory
approximation error, spherical scattered data, Multidimensional problems, quasi-interpolation, Rate of convergence, degree of approximation, Inequalities in approximation (Bernstein, Jackson, Nikol'skiĭ-type inequalities), spherical basis function, Interpolation in approximation theory
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