Python | Numpy np.hermvander3d() method

Python | Numpy np.hermegrid3d() method

Last Updated : 11 Dec, 2019

With the help of np.hermegrid3d() method, we can evaluate a 3-D hermite series on cartesian product of (x, y, z), where (x, y, z) is defined in the np.hermegrid3d() method.

Syntax : np.hermegrid3d(x, y, z, series) Return : Return the evaluated 3-D hermite series.

Example #1 : In this example we can see that by using np.hermegrid3d() method, we are able to evaluate the 3-D hermite series on cartesian product of x, y and z by using this method.

Python3 1=1

# import numpy and hermegrid3d
import numpy as np
from numpy.polynomial.hermite_e import hermegrid3d

series = np.array([[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]])
# using np.hermegrid3d() method
gfg = hermegrid3d(3, 4, 6, series)

print(gfg)

Output :

8616.0

Example #2 :

Python3 1=1

# import numpy and hermegrid3d
import numpy as np
from numpy.polynomial.hermite_e import hermegrid3d

series = np.array([[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]])
# using np.hermegrid3d() method
gfg = hermegrid3d([0, 1], [2, 3], [4, 5], series)

print(gfg)

Output :

[[ 240. 316.] [1064. 1390.]]

Python | Numpy np.hermvander3d() method

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