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NumPy Exercises

NumPy: Compute the Kronecker product of two given mulitdimension arrays

NumPy: Linear Algebra Exercise-8 with Solution

Write a NumPy program to compute the Kronecker product of two given mulitdimension arrays.

Note: In mathematics, the Kronecker product, denoted by ⊗, is an operation on two matrices of arbitrary size resulting in a block matrix. It is a generalization of the outer product (which is denoted by the same symbol) from vectors to matrices, and gives the matrix of the tensor product with respect to a standard choice of basis. The Kronecker product should not be confused with the usual matrix multiplication, which is an entirely different operation.

If A is an m × n matrix and B is a p × q matrix, then the Kronecker product A ⊗ B is the mp × nq block matrix:

NumPy Linear algebra: Compute the Kronecker product of two given mulitdimension arrays

Sample Solution :

Python Code :

import numpy as np
a = np.array([1,2,3])
b = np.array([0,1,0])
print("Original 1-d arrays:")
print(a)
print(b)
result =  np.kron(a, b)
print("Kronecker product of the said arrays:")
print(result)
x = np.arange(9).reshape(3, 3)
y = np.arange(3, 12).reshape(3, 3)
print("Original Higher dimension:")
print(x)
print(y)
result = np.kron(x, y)
print("Kronecker product  of the said arrays:")
print(result)

Sample Output:

Original 1-d arrays:
[1 2 3]
[0 1 0]
Kronecker product of the said arrays:
[0 1 0 0 2 0 0 3 0]
Original Higher dimension:
[[0 1 2]
 [3 4 5]
 [6 7 8]]
[[ 3  4  5]
 [ 6  7  8]
 [ 9 10 11]]
Kronecker product  of the said arrays:
[[ 0  0  0  3  4  5  6  8 10]
 [ 0  0  0  6  7  8 12 14 16]
 [ 0  0  0  9 10 11 18 20 22]
 [ 9 12 15 12 16 20 15 20 25]
 [18 21 24 24 28 32 30 35 40]
 [27 30 33 36 40 44 45 50 55]
 [18 24 30 21 28 35 24 32 40]
 [36 42 48 42 49 56 48 56 64]
 [54 60 66 63 70 77 72 80 88]]

Python Code Editor:


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