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polymul(a1, a2)
note

This forms part of the old polynomial API. Since version 1.4, the new polynomial API defined in :None:None:`numpy.polynomial` is preferred. A summary of the differences can be found in the :None:doc:`transition guide </reference/routines.polynomials>`.

Finds the polynomial resulting from the multiplication of the two input polynomials. Each input must be either a poly1d object or a 1D sequence of polynomial coefficients, from highest to lowest degree.

Parameters

a1, a2 : array_like or poly1d object

Input polynomials.

Returns

out : ndarray or poly1d object

The polynomial resulting from the multiplication of the inputs. If either inputs is a poly1d object, then the output is also a poly1d object. Otherwise, it is a 1D array of polynomial coefficients from highest to lowest degree.

Find the product of two polynomials.

See Also

convolve

Array convolution. Same output as polymul, but has parameter for overlap mode.

poly
poly1d

A one-dimensional polynomial class.

polyadd
polyder
polydiv
polyfit
polyint
polysub
polyval

Examples

>>> np.polymul([1, 2, 3], [9, 5, 1])
array([ 9, 23, 38, 17,  3])

Using poly1d objects:

>>> p1 = np.poly1d([1, 2, 3])
... p2 = np.poly1d([9, 5, 1])
... print(p1) 2 1 x + 2 x + 3
>>> print(p2)
   2
9 x + 5 x + 1
>>> print(np.polymul(p1, p2))
   4      3      2
9 x + 23 x + 38 x + 17 x + 3
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.polynomial.polynomial.polypow numpy.polynomial.polynomial.polysub scipy.signal._signaltools.convolve numpy.polynomial.polynomial.polymulx numpy.polydiv numpy.polynomial.polynomial.polydiv numpy.polysub numpy.polynomial.polynomial.polyadd numpy.convolve

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GitHub : /numpy/lib/polynomial.py#909
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