arXiv · 1606.00648
Tent-transformed lattice rules for integration and approximation of multivariate non-periodic functions
Abstract
We develop algorithms for multivariate integration and approximation in the weighted half-period cosine space of smooth non-periodic functions. We use specially constructed tent-transformed rank-1 lattice points as cubature nodes for integration and as sampling points for approximation. For both integration and approximation, we study the connection between the worst-case errors of our algorithms in the cosine space and the worst-case errors of some related algorithms in the well-known weighted Korobov space of smooth periodic functions. By exploiting this connection, we are able to obtain constructive worst-case error bounds with good convergence rates for the cosine space.
Explore related subjects
Keep this discovery
Ronald Cools, Frances Y. Kuo, Dirk Nuyens, Gowri Suryanarayana. 2016-06-02. Tent-transformed lattice rules for integration and approximation of multivariate non-periodic functions. https://doi.org/10.1016/j.jco.2016.05.004
Cite the original work for its findings. Save a collection to share your selection of sources.