Python | The numpy np.hermevander () method



With the np.hermevander() method we can get the pseudo-vandermonde matrix to a certain extent using np.hermevander () .

Syntax: np.hermevander (x, deg)
Return: Return the pseudo vandermonde matrix .

Example # 1:
In this example, we see that using np.hermevander () , we can get the pseudo-vandalmonde matrix to a certain extent using this method.

# NumPy and Hermevander imports

import numpy as np

from numpy.polynomial.hermite_e import hermevander

  

x = np.array ([ 0.1 , 0.2 , 0.3 , 0.4 , 0.5 ])

deg = 3

# using np.hermevander () method

gfg = hermevander (x, deg)

 

print (gfg)

Output:

[[1. 0.1 -0.99 -0.299]
[1. 0.2 -0.96 -0.592]
[1. 0.3 -0.91 -0.873]
[ 1. 0.4 -0.84 -1.136]
[1. 0.5 -0.75 -1.375]]

Example # 2:

# NumPy and Hermevander imports

import numpy as np

from numpy.polynomial.hermite_e import hermevander

 

x = np.array ([ 1.1 , 2.2 , 3.3 , 4.4 , 5.5 ])

deg = 3

# using the np.hermevander ( )

gfg = hermevander (x, deg)

 

print (gfg)

Exit:

[[1. 1.1 0.21 -1.969]
[1. 2.2 3.84 4.048]
[1. 3.3 9.89 26.037]
[ 1. 4.4 18.36 71.984]
[1. 5.5 29.25 149.875]]