Real and complex analysis, 3rd ed.
Real and complex analysis, 3rd ed.
Norms of inverses and condition numbers for matrices associated with scattered data
Journal of Approximation Theory
Journal of Approximation Theory
Norm estimates for inverses of Euclidean distance matrices
Journal of Approximation Theory
Conditionally positive definite functions and their application to multivariate interpolations
Journal of Approximation Theory
Conditionally positive definite functions and Laplace-Stieltjes integrals
Journal of Approximation Theory
Inverse and saturation theorems for radial basis function interpolation
Mathematics of Computation
On the optimality of the random hyperplane rounding technique for max cut
Random Structures & Algorithms - Probabilistic methods in combinatorial optimization
Energy functionals, numerical integration and asymptotic equidistribution on the sphere
Journal of Complexity
Approximation in rough native spaces by shifts of smooth kernels on spheres
Journal of Approximation Theory
Radial basis functions and corresponding zonal series expansions on the sphere
Journal of Approximation Theory
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Optimal lower bounds for cubature error on the sphere S2
Journal of Complexity
A lower bound for the worst-case cubature error on spheres of arbitrary dimension
Numerische Mathematik
Cubature over the sphere S2 in Sobolev spaces of arbitrary order
Journal of Approximation Theory
Foundations of Computational Mathematics
Generating Uniform Incremental Grids on SO(3) Using the Hopf Fibration
International Journal of Robotics Research
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The main purpose of the present paper is to employ spherical basis functions (SBFs) to study uniform distribution of points on spheres. We extend Weyl's criterion for uniform distribution of points on spheres to include a characterization in terms of an SBF. We show that every set of minimal energy points associated with an SBF is uniformly distributed on the spheres. We give an error estimate for numerical integration based on the minimal energy points. We also estimate the separation of the minimal energy points.