Subrandom numbers have an advantage over pure random numbers in that they cover the domain of interest quickly and evenly. They have an advantage over purely deterministic methods in that deterministic methods only give high accuracy when the number of datapoints is pre-set whereas in using subrandom sequences the accuracy typically improves continually as more datapoints are added, with full reuse of the existing points. On the other hand, subrandom sets can have a significant lower discrepancy for a given number of points than subrandom sequences.