hermval2d(x, y, c)
This function returns the values:
$$p(x,y) = \sum_{i,j} c_{i,j} * H_i(x) * H_j(y)$$The parameters x
and y
are converted to arrays only if they are tuples or a lists, otherwise they are treated as a scalars and they must have the same shape after conversion. In either case, either x
and y
or their elements must support multiplication and addition both with themselves and with the elements of c
.
If c
is a 1-D array a one is implicitly appended to its shape to make it 2-D. The shape of the result will be c.shape[2:] + x.shape.
The two dimensional series is evaluated at the points :None:None:`(x, y)`
, where x
and y
must have the same shape. If x
or y
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.
Array of coefficients ordered so that the coefficient of the term of multi-degree i,j is contained in c[i,j]
. If c
has dimension greater than two the remaining indices enumerate multiple sets of coefficients.
The values of the two dimensional polynomial at points formed with pairs of corresponding values from x
and y
.
Evaluate a 2-D Hermite series at points (x, y).
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.polynomial.hermite.hermgrid2d
numpy.polynomial.hermite.hermval
numpy.polynomial.hermite.hermval3d
numpy.polynomial.hermite.hermgrid3d
numpy.polynomial.hermite.hermvander2d
numpy.polynomial.hermite.hermvander3d
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