blue_sampler.tessel2points

blue_sampler.tessel2points(tessels, p=3)[source]

Convert tessels into low-discrepancy point set.

Each tessel is replaced by m points by solving a moment-matching problem (Levenberg-Marquardt) via momentum_fit.

Parameters:

tessels (NDArray) – e.g. the quad output of sample_tessels.
p (int) – Maximum total moment order to match (centroid plus central moments up to order p).
**kwargs – Additional arguments passed to momentum_fit (e.g., n_restarts, random_state, tol).

Returns:

m points per tessel or cluster, matching its moments up to order p.

Return type:

NDArray