numpy.polynomial.laguerre.laggrid3d#

polynomial.laguerre.laggrid3d(x, y, z, c)[source]#

Evaluate a 3-D Laguerre series on the Cartesian product of x, y, and z.

This function returns the values:

$p(a,b,c) = \sum_{i,j,k} c_{i,j,k} * L_i(a) * L_j(b) * L_k(c)$

where the points (a, b, c) consist of all triples formed by taking a from x, b from y, and c from z. The resulting points form a grid with x in the first dimension, y in the second, and z in the third.

The parameters x, y, and z are converted to arrays only if they are tuples or a lists, otherwise they are treated as a scalars. In either case, either x, y, and z or their elements must support multiplication and addition both with themselves and with the elements of c.

If c has fewer than three dimensions, ones are implicitly appended to its shape to make it 3-D. The shape of the result will be c.shape[3:] + x.shape + y.shape + z.shape.

Parameters:
x, y, zarray_like, compatible objects

The three dimensional series is evaluated at the points in the Cartesian product of x, y, and z. If x, y, or z is a list or tuple, it is first converted to an ndarray, otherwise it is left unchanged and, if it isn’t an ndarray, it is treated as a scalar.

carray_like

Array of coefficients ordered so that the coefficients for terms of degree i,j are contained in c[i,j]. If c has dimension greater than two the remaining indices enumerate multiple sets of coefficients.

Returns:
valuesndarray, compatible object

The values of the two dimensional polynomial at points in the Cartesian product of x and y.

Notes

New in version 1.7.0.

Examples

>>> from numpy.polynomial.laguerre import laggrid3d
>>> c = [[[1, 2], [3, 4]], [[5, 6], [7, 8]]]
>>> laggrid3d([0, 1], [0, 1], [2, 4], c)
array([[[ -4., -44.],
[ -2., -18.]],
[[ -2., -14.],
[ -1.,  -5.]]])