NumPy: Compute the inner product of vectors for 1-D arrays and in higher dimension

NumPy: Linear Algebra Exercise-6 with Solution

Write a NumPy program to compute the inner product of vectors for 1-D arrays (without complex conjugation) and in higher dimension.

Sample Solution :

Python Code :

import numpy as np
a = np.array([1,2,5])
b = np.array([2,1,0])
print("Original 1-d arrays:")
print(a)
print(b)
print 
result = np.inner(a, b)
print("Inner product of the said vectors:")
x = np.arange(9).reshape(3, 3)
y = np.arange(3, 12).reshape(3, 3)
print("Higher dimension arrays:")
print(x)
print(y)
result = np.inner(x, y)
print("Inner product of the said vectors:")
print(result)

Sample Output:

Original 1-d arrays:
[1 2 5]
[2 1 0]
Inner product of the said vectors:
Higher dimension arrays:
[[0 1 2]
 [3 4 5]
 [6 7 8]]
[[ 3  4  5]
 [ 6  7  8]
 [ 9 10 11]]
Inner product of the said vectors:
[[ 14  23  32]
 [ 50  86 122]
 [ 86 149 212]]

Python-Numpy Code Editor:

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