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NumPy | Vector Multiplication

Vector multiplication is of three types:

  • Scalar Product
  • Dot Product
  • Cross Product
  • Scalar Multiplication:
    Scalar multiplication can be represented by multiplying a scalar quantity by all the elements in the vector matrix.

    Code: Python code explaining Scalar Multiplication




           
    # importing libraries  
    import numpy as np
    import matplotlib.pyplot as plt
    import math
      
    v = np.array([4, 1])
    w = 5 * v
    print("w = ", w)
      
    # Plot w
    origin =[0], [0]
    plt.grid()
    plt.ticklabel_format(style ='sci', axis ='both'
                         scilimits =(0, 0))
    plt.quiver(*origin, *w, scale = 10)
    plt.show()

    
    

    Output :

w =  [20  5]

Dot Product multiplication:

Code: Python code to explain Dot Product Multiplication




import numpy as np
import math
  
v = np.array([2, 1])
s = np.array([3, -2])
d = np.dot(v, s)
print(d)


Here, dot product can also be received using the ‘@’ operator.

d = v@s

Output :

4

Cross Product:

Code: Python code explaining Cross Product




import numpy as np
import math
  
v = np.array([4, 9, 12])
s = np.array([21, 32, 44])
r = np.cross(v, s)
print(r)


Output:

[ 12  76 -61]
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