PseudoVandermonde matrix of given degree.
Returns the pseudoVandermonde matrix of degree deg and sample points x. The pseudoVandermonde matrix is defined by
where 0 <= i <= deg. The leading indices of V index the elements of x and the last index is the degree of the Hermite polynomial.
If c is a 1D array of coefficients of length n + 1 and V is the array V = hermvander(x, n), then np.dot(V, c) and hermval(x, c) are the same up to roundoff. This equivalence is useful both for least squares fitting and for the evaluation of a large number of Hermite series of the same degree and sample points.
Parameters :  x : array_like
deg : int


Returns :  vander: ndarray :

Examples
>>> from numpy.polynomial.hermite import hermvander
>>> x = np.array([1, 0, 1])
>>> hermvander(x, 3)
array([[ 1., 2., 2., 4.],
[ 1., 0., 2., 0.],
[ 1., 2., 2., 4.]])