Quadrature formulae and asymptotic error expansions for wavelet approximations of smooth functions
SIAM Journal on Numerical Analysis
Stratified nested and related quadrature rules
Journal of Computational and Applied Mathematics - Numerical evaluation of integrals
On computing Jacobi matrices associated with recurrent and Möbius iterated function systems
Journal of Computational and Applied Mathematics - Proceedings of the 8th international congress on computational and applied mathematics
Interpolatory quadrature formulae with Chebyshev abscissae
Journal of Computational and Applied Mathematics - Special issue on orthogonal polynomials, special functions and their applications
Journal of Computational and Applied Mathematics
Numerical Mathematics (Texts in Applied Mathematics)
Numerical Mathematics (Texts in Applied Mathematics)
Is Gauss Quadrature Better than Clenshaw-Curtis?
SIAM Review
Hi-index | 7.29 |
This work is devoted to the study of quadrature rules for integration with respect to (w.r.t.) general probability measures with known moments. Automatic calculation of the Clenshaw-Curtis rules is considered and analyzed. It is shown that it is possible to construct these rules in a stable manner for quadrature w.r.t. balanced measures. In order to make a comparison Gauss rules and their stable implementation for integration w.r.t. balanced measures are recalled. Convergence rates are tested in the case of binomial measures.