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Printing the power of vector/matrix elements using pow(x,a) | Linear Algebra using Python

Linear Algebra using Python | pow(x, a) Function: Here, we are going to learn how to print the power of vector/matrix elements using pow(x,a) in Python?
Submitted by Anuj Singh, on May 25, 2020

Prerequisite:

• Defining a Vector
• Defining a Matrix

Numpy is the library of function that helps to construct or manipulate matrices and vectors. The function pow(x, a) is a function used for generating a matrix/vector/variable with the log value of b x (as x^a). This is an element-wise operation where each element in pow(x, a) corresponds to the x^a of that element in x.

Syntax:

    power_matrix = pow(x,a)

Input parameter(s):

• x – could be a matrix or vector or a variable.

Return value:

A Matrix or vector or a variable of the same dimensions as input x with x^a values at each entry.

Applications:

1. Machine Learning
2. Neural Network
3. General Mathematics

Python code to print the power of vector/matrix elements

# Linear Algebra Learning Sequence
# Element wise Power 

import numpy as np

# Use of np.array() to define an Vector
V = np.array([3,6,8])
print("The Vector A : ",V)
    
# Using power function
print("\npow(A,3) : ", pow(V,3))
print("\npow(A,2) : ", pow(V,2))

Output:

The Vector A :  [3 6 8]

pow(A,3) :  [ 27 216 512]

pow(A,2) :  [ 9 36 64]