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Python | Numpy np.hermcompanion() method

Last Updated : 06 Dec, 2019
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With the help of np.hermcompanion() method, we can get the companion matrix from hermite series by using np.hermcompanion() method.
Syntax : np.hermcompanion(series) Return : Return the companion matrix.
Example #1 : In this example we can see that by using np.hermcompanion() method, we are able to get the companion matrix from hermite series by using this method. Python3 1=1
# import numpy and hermcompanion
import numpy as np
from numpy.polynomial.hermite import hermcompanion

series = np.array([6, 7, 8, 9, 10])
# using np.hermcompanion() method
gfg = hermcompanion(series)

print(gfg)
Output :
[[ 0. 0.70710678 0. -0.04330127] [ 0.70710678 0. 1. -0.07144345] [ 0. 1. 0. 1.06144556] [ 0. 0. 1.22474487 -0.45 ]]
Example #2 : Python3 1=1
# import numpy and hermcompanion
import numpy as np
from numpy.polynomial.hermite import hermcompanion

series = np.array([1, 2, 3, 4, 5])
# using np.hermcompanion() method
gfg = hermcompanion(series)

print(gfg)
Output :
[[ 0. 0.70710678 0. -0.01443376] [ 0.70710678 0. 1. -0.04082483] [ 0. 1. 0. 1.10227038] [ 0. 0. 1.22474487 -0.4 ]]

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