The samples template.
The class defines a Sampling object. It serves as a template for all sampling methodologies.
parameters (list) – A list of parameters, where each element of the list is an instance of the Parameter class.
basis (Basis) – An instance of the Basis class corresponding to the multi-index set used.
points (numpy.ndarray) – Array containing the quadrature points.
mesh (numpy.ndarray) – Description needed.
corr (numpy.ndarray, optional) – Description needed.
oversampling (float, optional) – Description needed.
Returns the quadrature points.
Array of quadrature points.
Returns the quadrature points and weights.
Tuple (points,weights) containing two numpy.ndarray’s; the quadrature points and weights.
Returns the quadrature weights.
Array of quadrature weights