With the help of np.hermvander() method, we can get the pseudo vandermonde matrix from hermite series of given degree by using np.hermvander() method.
Syntax :
np.hermvander(x, deg)
Return : Return the pseudo vandermonde matrix of given degree.
Example #1 :
In this example we can see that by using np.hermvander() method, we are able to get the pseudo vandermonde matrix of hermite series by using this method.
# import numpy and hermvander import numpy as np from numpy.polynomial.hermite import hermvander x = np.array([1, 2, 3, 5, 7, 11]) deg = 2 # using np.hermvander() method gfg = hermvander(x, deg) print(gfg) |
Output :
[[ 1. 2. 2.]
[ 1. 4. 14.]
[ 1. 6. 34.]
[ 1. 10. 98.]
[ 1. 14. 194.]
[ 1. 22. 482.]]
Example #2 :
# import numpy and hermvander import numpy as np from numpy.polynomial.hermite import hermvander x = np.array([5, 10, -10, -5]) deg = 3 # using np.hermvander() method gfg = hermvander(x, deg) print(gfg) |
Output :
[[ 1.00e+00 1.00e+01 9.80e+01 9.40e+02]
[ 1.00e+00 2.00e+01 3.98e+02 7.88e+03]
[ 1.00e+00 -2.00e+01 3.98e+02 -7.88e+03]
[ 1.00e+00 -1.00e+01 9.80e+01 -9.40e+02]]
