-
numpy.polymul(a1, a2)
[source] -
Find the product of two 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.
See also
-
poly1d
- A one-dimensional polynomial class.
poly
,polyadd
,polyder
,polydiv
,polyfit
,polyint
,polysub
,polyval
-
convolve
- Array convolution. Same output as polymul, but has parameter for overlap mode.
Examples
12>>> np.polymul([
1
,
2
,
3
], [
9
,
5
,
1
])
array([
9
,
23
,
38
,
17
,
3
])
Using poly1d objects:
1234567891011>>> 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
-
numpy.polymul()

2025-01-10 15:47:30
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