To multiply one Hermite_e series to another, use the polynomial.hermite.hermemul() method in Python Numpy. The method returns an array representing the Hermite_e series of their product. Returns the product of two Hermite_e series c1 * c2. The arguments are sequences of coefficients, from lowest order “term” to highest, e.g., [1,2,3] represents the series P_0 + 2*P_1 + 3*P_2. The parameters 1-D arrays of Hermite_e series coefficients ordered from low to high.
Steps
At first, import the required library −
import numpy as np from numpy.polynomial import hermite_e as H
Create 1-D arrays of Hermite_e series coefficients −
c1 = np.array([1,2,3]) c2 = np.array([3,2,1])
Display the arrays of coefficients −
print("Array1...\n",c1) print("\nArray2...\n",c2)
Display the datatype −
print("\nArray1 datatype...\n",c1.dtype) print("\nArray2 datatype...\n",c2.dtype)
Check the Dimensions of both the arrays −
print("\nDimensions of Array1...\n",c1.ndim) print("\nDimensions of Array2...\n",c2.ndim)
Check the Shape of both the arrays −
print("\nShape of Array1...\n",c1.shape) print("\nShape of Array2...\n",c2.shape)
To multiply one Hermite_e series to another, use the polynomial.hermite.hermemul() method in Python Numpy −
print("\nResult (multiply)....\n",H.hermemul(c1, c2))
Example
import numpy as np from numpy.polynomial import hermite_e as H # Create 1-D arrays of Hermite_e series coefficients c1 = np.array([1,2,3]) c2 = np.array([3,2,1]) # Display the arrays of coefficients print("Array1...\n",c1) print("\nArray2...\n",c2) # Display the datatype print("\nArray1 datatype...\n",c1.dtype) print("\nArray2 datatype...\n",c2.dtype) # Check the Dimensions of both the arrays print("\nDimensions of Array1...\n",c1.ndim) print("\nDimensions of Array2...\n",c2.ndim) # Check the Shape of both the arrays print("\nShape of Array1...\n",c1.shape) print("\nShape of Array2...\n",c2.shape) # To multiply one Hermite_e series to another, use the polynomial.hermite.hermemul() method in Python Numpy print("\nResult (multiply)....\n",H.hermemul(c1, c2))
Output
Array1... [1 2 3] Array2... [3 2 1] Array1 datatype... int64 Array2 datatype... int64 Dimensions of Array1... 1 Dimensions of Array2... 1 Shape of Array1... (3,) Shape of Array2... (3,) Result (multiply).... [13. 24. 26. 8. 3.]