Multivariate interpolation of large sets of scattered data
ACM Transactions on Mathematical Software (TOMS)
Polynomial interpolation and hyperinterpolation over general regions
Journal of Approximation Theory
Lagrange interpolation on Chebyshev points of two variables
Journal of Approximation Theory
Constructive polynomial approximation on the sphere
Journal of Approximation Theory
An encyclopaedia of cubature formulas
Journal of Complexity
An Extension of MATLAB to Continuous Functions and Operators
SIAM Journal on Scientific Computing
Improved cubature formulae of high degrees of exactness for the square
Journal of Computational and Applied Mathematics
On the Lebesgue constant for the Xu interpolation formula
Journal of Approximation Theory
Bivariate Lagrange interpolation at the Padua points: The generating curve approach
Journal of Approximation Theory
Hyperinterpolation on the square
Journal of Computational and Applied Mathematics
International Journal of Approximate Reasoning
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We construct an hyperinterpolation formula of degree n in the three-dimensional cube, by using the numerical cubature formula for the product Chebyshev measure given by the product of a (near) minimal formula in the square with Gauss-Chebyshev-Lobatto quadrature. The underlying function is sampled at N~n^3/2 points, whereas the hyperinterpolation polynomial is determined by its (n+1)(n+2)(n+3)/6~n^3/6 coefficients in the trivariate Chebyshev orthogonal basis. The effectiveness of the method is shown by a numerical study of the Lebesgue constant, which turns out to increase like log^3(n), and by the application to several test functions.