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numpy.polymul(a1, a2)
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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
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poly1d
- A one-dimensional polynomial class.
poly
,polyadd
,polyder
,polydiv
,polyfit
,polyint
,polysub
,polyval
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convolve
- Array convolution. Same output as polymul, but has parameter for overlap mode.
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
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numpy.polymul()
2017-01-10 18:16:32
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