`scipy.stats._qmc:_random_cd`

source: build-install/usr/lib/python3.14/site-packages/scipy/stats/_qmc.py:2612

Signature

def _random_cd(best_sample: np.ndarray, n_iters: int, n_nochange: int, rng: _RNG, **kwargs: dict) → np.ndarray

Summary

Optimal LHS on CD.

Extended Summary

Create a base LHS and do random permutations of coordinates to lower the centered discrepancy. Because it starts with a normal LHS, it also works with the scramble keyword argument.

Two stopping criterion are used to stop the algorithm: at most, n_iters iterations are performed; or if there is no improvement for n_nochange consecutive iterations.

Aliases

scipy.stats._qmc._random_cd