numpoly.outer#

numpoly.outer(a: numpoly.typing.PolyLike, b: numpoly.typing.PolyLike, out: ndpoly | None = None) → ndpoly[source]#

Compute the outer product of two vectors.

Given two vectors, a = [a0, a1, ..., aM] and b = [b0, b1, ..., bN], the outer product is:

[[a0*b0  a0*b1 ... a0*bN ]
 [a1*b0    .
 [ ...          .
 [aM*b0            aM*bN ]]

Args:

a:: First input vector. Input is flattened if not already 1-dimensional.
b:: Second input vector. Input is flattened if not already 1-dimensional.
out:: A location where the result is stored.

Return:

out[i, j] = a[i] * b[j]

Example:

>>> poly = numpoly.variable(3)
>>> const = numpy.arange(5)
>>> numpoly.outer(poly, const)
polynomial([[0, q0, 2*q0, 3*q0, 4*q0],
            [0, q1, 2*q1, 3*q1, 4*q1],
            [0, q2, 2*q2, 3*q2, 4*q2]])