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)
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 Code Editor:
Have another way to solve this solution? Contribute your code (and comments) through Disqus.
Previous: Write a NumPy program to evaluate Einstein’s summation convention of two given multidimensional arrays.
Next: Write a NumPy program to compute the eigenvalues and right eigenvectors of a given square array.
What is the difficulty level of this exercise?
Test your Python skills with w3resource's quiz
Python: Tips of the Day
Big Number Readability:
you can separate zeros with underscore (_)
print(2_000_000) print(2_000_000 +1)
- New Content published on w3resource:
- Scala Programming Exercises, Practice, Solution
- Python Itertools exercises
- Python Numpy exercises
- Python GeoPy Package exercises
- Python Pandas exercises
- Python nltk exercises
- Python BeautifulSoup exercises
- Form Template
- Composer - PHP Package Manager
- PHPUnit - PHP Testing
- Laravel - PHP Framework