Produces a random zero-mean column vector with covariance given by cov
Parameters:
cov (np.ndarray) – square numpy array with shape (n,n)
num_samples (int, optional) – Will make num_samples independent random vectors and
stack them horizontally, by default 1. It can be faster to generate
many samples this way to avoid recomputing the Cholesky decomposition
every time.