`scipy.stats._qmc:van_der_corput`

source: /scipy/stats/_qmc.py :733

Signature

   def     van_der_corput (    n  :  IntNumber    ,    base  :  IntNumber    =  2   ,  * ,     start_index  :  IntNumber    =  0   ,    scramble  :  bool    =  False   ,    permutations  :  npt.ArrayLike | None    =  None   ,    rng  :  SeedType    =  None   ,    workers  :  IntNumber    =  1     )   →  np.ndarray

Summary

Van der Corput sequence.

Extended Summary

Pseudo-random number generator based on a b-adic expansion.

Scrambling uses permutations of the remainders (see ^[1]). Multiple permutations are applied to construct a point. The sequence of permutations has to be the same for all points of the sequence.

Parameters

n : int: Number of element of the sequence.
base : int, optional: Base of the sequence. Default is 2.
start_index : int, optional: Index to start the sequence from. Default is 0.
scramble : bool, optional: If True, use Owen scrambling. Otherwise no scrambling is done. Default is True.
permutations : array_like, optional: Permutations used for scrambling.
rng : `numpy.random.Generator`, optional: Pseudorandom number generator state. When rng is None, a new numpy.random.Generator is created using entropy from the operating system. Types other than numpy.random.Generator are passed to numpy.random.default_rng to instantiate a Generator.
workers : int, optional: Number of workers to use for parallel processing. If -1 is given all CPU threads are used. Default is 1.

Returns

sequence : list (n,): Sequence of Van der Corput.

Aliases

scipy.stats._qmc.van_der_corput