Python | Numpy np.hermcompanion() method
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.
# 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 :
# 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 ]]
