QMC designs: optimal order Quasi Monte Carlo Integration schemes on the sphere
Johann S. Brauchart, Edward B. Saff, Ian H. Sloan, Rob S. Womersley

TL;DR
This paper introduces the concept of QMC designs on the sphere, providing methods for their generation, analyzing their properties, and demonstrating their effectiveness for numerical integration in Sobolev spaces.
Contribution
It defines QMC designs for the sphere, links them to spherical designs and energy minimizers, and shows many known point sets are effective QMC schemes for certain smoothness levels.
Findings
Minimizers of energy for the reproducing kernel form QMC designs.
Many classical point sets on the sphere are QMC designs for specific smoothness.
Random points do not form QMC designs for any smoothness level.
Abstract
We study equal weight numerical integration, or Quasi Monte Carlo (QMC) rules, for functions in a Sobolev space with smoothness parameter defined over the unit sphere in . Focusing on -point sets that achieve optimal order QMC error bounds (as is the case for efficient spherical designs), we are led to introduce the concept of QMC designs: these are sequences of -point node sets on such that the worst-case error of the corresponding QMC rules satisfy a bound of order as with an implied constant that depends on the -norm. We provide methods for generation and numerical testing of QMC designs. As a consequence of a recent result of Bondarenko et al. on the existence of spherical designs with appropriate number of points, we show that minimizers of the -point energy for the reproducing kernel for…
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