numpy.polynomial.polynomial.
polyvander
Vandermonde matrix of given degree.
Returns the Vandermonde matrix of degree deg and sample points x. The Vandermonde matrix is defined by
System Message: WARNING/2 (V[..., i] = x^i, )
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where 0 <= i <= deg. The leading indices of V index the elements of x and the last index is the power of x.
If c is a 1-D array of coefficients of length n + 1 and V is the matrix V = polyvander(x, n), then np.dot(V, c) and polyval(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 polynomials of the same degree and sample points.
V = polyvander(x, n)
np.dot(V, c)
polyval(x, c)
Array of points. The dtype is converted to float64 or complex128 depending on whether any of the elements are complex. If x is scalar it is converted to a 1-D array.
Degree of the resulting matrix.
The Vandermonde matrix. The shape of the returned matrix is x.shape + (deg + 1,), where the last index is the power of x. The dtype will be the same as the converted x.
x.shape + (deg + 1,)
See also
polyvander2d, polyvander3d
polyvander2d
polyvander3d
