To generate a pseudo Vandermonde matrix of the Hermite polynomial, use the hermite.hermvander2d() in Python Numpy. The method returns the pseudo-Vandermonde matrix. The parameter, x, y are an array of point coordinates, all of the same shape. The dtypes will be converted to either float64 or complex128 depending on whether any of the elements are complex. Scalars are converted to 1-D arrays. The parameter, deg is the list of maximum degrees of the form [x_deg, y_deg].
Steps
At first, import the required library −
import numpy as np from numpy.polynomial import hermite as H
Create arrays of point coordinates, all of the same shape using the numpy.array() method −
x = np.array([-2.+2.j, -1.+2.j]) y = np.array([1.+2.j, 2.+2.j])
Display the arrays −
print("Array1...\n",x)
print("\nArray2...\n",y)Display the datatype −
print("\nArray1 datatype...\n",x.dtype)
print("\nArray2 datatype...\n",y.dtype)Check the Dimensions of both the arrays −
print("\nDimensions of Array1...\n",x.ndim)
print("\nDimensions of Array2...\n",y.ndim)Check the Shape of both the arrays −
print("\nShape of Array1...\n",x.shape)
print("\nShape of Array2...\n",y.shape)To generate a pseudo Vandermonde matrix of the Hermite polynomial, use the hermite.hermvander2d() in Python Numpy. The method returns the pseudo-Vandermonde matrix −
x_deg, y_deg = 2, 3
print("\nResult...\n",H.hermvander2d(x,y, [x_deg, y_deg]))Example
import numpy as np
from numpy.polynomial import hermite as H
# Create arrays of point coordinates, all of the same shape using the numpy.array() method
x = np.array([-2.+2.j, -1.+2.j])
y = np.array([1.+2.j, 2.+2.j])
# Display the arrays
print("Array1...\n",x)
print("\nArray2...\n",y)
# Display the datatype
print("\nArray1 datatype...\n",x.dtype)
print("\nArray2 datatype...\n",y.dtype)
# Check the Dimensions of both the array
print("\nDimensions of Array1...\n",x.ndim)
print("\nDimensions of Array2...\n",y.ndim)
# Check the Shape of both the array
print("\nShape of Array1...\n",x.shape)
print("\nShape of Array2...\n",y.shape)
# To generate a pseudo Vandermonde matrix of the Hermite polynomial, use the hermite.hermvander2d() in Python Numpy
# The method returns the pseudo-Vandermonde matrix.
x_deg, y_deg = 2, 3
print("\nResult...\n",H.hermvander2d(x,y, [x_deg, y_deg]))Output
Array1... [-2.+2.j -1.+2.j] Array2... [1.+2.j 2.+2.j] Array1 datatype... complex128 Array2 datatype... complex128 Dimensions of Array1... 1 Dimensions of Array2... 1 Shape of Array1... (2,) Shape of Array2... (2,) Result... [[ 1.000e+00 +0.j 2.000e+00 +4.j -1.400e+01 +16.j -1.000e+02 -40.j -4.000e+00 +4.j -2.400e+01 -8.j -8.000e+00 -120.j 5.600e+02 -240.j -2.000e+00 -32.j 1.240e+02 -72.j 5.400e+02 +416.j -1.080e+03 +3280.j] [ 1.000e+00 +0.j 4.000e+00 +4.j -2.000e+00 +32.j -1.520e+02 +104.j -2.000e+00 +4.j -2.400e+01 +8.j -1.240e+02 -72.j -1.120e+02 -816.j -1.400e+01 -16.j 8.000e+00 -120.j 5.400e+02 -416.j 3.792e+03 +976.j]]