chaospy.create_chebyshev_samples

chaospy.create_chebyshev_samples(order, dim=1)

Generate Chebyshev pseudo-random samples.

Args:

order (int):

The number of samples to create along each axis.

dim (int):

The number of dimensions to create samples for.

Returns:

samples following Chebyshev sampling scheme mapped to the [0, 1]^dim hyper-cube and shape == (dim, order).

Examples:

>>> samples = chaospy.create_chebyshev_samples(6, 1)
>>> samples.round(4)
array([[0.0495, 0.1883, 0.3887, 0.6113, 0.8117, 0.9505]])
>>> samples = chaospy.create_chebyshev_samples(3, 2)
>>> samples.round(3)
array([[0.146, 0.146, 0.146, 0.5  , 0.5  , 0.5  , 0.854, 0.854, 0.854],
       [0.146, 0.5  , 0.854, 0.146, 0.5  , 0.854, 0.146, 0.5  , 0.854]])