An adaptive approach to cube-based quasi-Monte Carlo integration on \(\mathbb R^d\)
For the quasi-Monte Carlo approximation of the integral over the whole space \(\mathbb{R}^d\), the essential point is how to distribute the points efficiency. In this paper, an adaptive approach is suggested and an approximate optimal distribution of points is obtained
approximate optimal distribution of points
scientific article; zbMATH DE number 5712927