Add Steinerberger low-discrepancy sequence

[kiudee]

Is your feature request related to a problem? Please describe.
The R2 sequence we currently use for initialization works well for low dimensions but has visible patterns in higher dimensions.
Steinerberger (2019) propose a simple energy functional which can be used to add points to an existing design which minimize discrepancy:

Describe alternatives you've considered
I investigated different methods for generating blue noise (e.g. using optimal transport). But they are hard to implement and require expensive computation.

Additional context
Here is a sample of the Steinerberger sequence (1 initial random point)

Here is a uniform sample of 100 points in [0, 1]⁵

Our current R2 sequence outputs