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 ]]