numpy.polynomial.chebyshev.chebvander(x, deg)
[source]
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 Chebyshev polynomial.
If c
is a 1D array of coefficients of length n + 1
and V
is the matrix V = chebvander(x, n)
, then np.dot(V, c)
and chebval(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 Chebyshev series of the same degree and sample points.
Parameters: 


Returns: 

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Licensed under the 3clause BSD License.
https://docs.scipy.org/doc/numpy1.17.0/reference/generated/numpy.polynomial.chebyshev.chebvander.html