Integrate a Hermite series in Python

To integrate a Hermite series, use the hermite.hermint() method in Python. The 1st parameter, c is an array of Hermite series coefficients. If c is multidimensional the different axis correspond to different variables with the degree in each axis given by the corresponding index.

The 2nd parameter, m is an order of integration, must be positive. (Default: 1). The 3rd parameter, k is an integration constant(s). The value of the first integral at lbnd is the first value in the list, the value of the second integral at lbnd is the second value, etc. If k == [] (the default), all constants are set to zero. If m == 1, a single scalar can be given instead of a list.

The 4th parameter, lbnd is the lower bound of the integral. (Default: 0). The 5th parameter, scl is a scalar. Following each integration the result is multiplied by scl before the integration constant is added. (Default: 1). The 6th parameter, axis is an Axis over which the integral is taken. (Default: 0).

Steps

At first, import the required library −

import numpy as np
from numpy.polynomial import hermite as H

Create an array of coefficients −

c = np.array([1,2,3])

Display the array −

print("Our Array...\n",c)

Check the Dimensions −

print("\nDimensions of our Array...\n",c.ndim)

Get the Datatype −

print("\nDatatype of our Array object...\n",c.dtype)

Get the Shape −

print("\nShape of our Array object...\n",c.shape)

To integrate a Hermite series, use the hermite.hermint() method in Python −

print("\nResult...\n",H.hermint(c))

Example

Output

Our Array...
   [1 2 3]

Dimensions of our Array...
1

Datatype of our Array object...
int64

Shape of our Array object...
(3,)

Result...
   [1. 0.5 0.5 0.5]