Python | Numpy np.hermevander2d() method

Python | Numpy np.hermevander() method

Last Updated : 11 Dec, 2019

With the help of np.hermevander() method, we can get the pseudo vandermonde matrix at a given degree by using np.hermevander() method.

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

Example #1 : In this example we can see that by using np.hermevander() method, we are able to get the pseudo vandermonde matrix at a given degree by using this method.

Python3 1=1

# import numpy and hermevander
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 :

Python3 1=1

# import numpy and hermevander
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 np.hermevander() method
gfg = hermevander(x, deg)

print(gfg)

Output :

[[ 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]]

Python | Numpy np.hermevander2d() method

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