numpy.vdot()


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This function returns the dot product of the two vectors. If the first argument is complex, then its conjugate is used for calculation. If the argument id is multi-dimensional array, it is flattened.

Example

import numpy as np 
a = np.array([[1,2],[3,4]]) 
b = np.array([[11,12],[13,14]]) 
print np.vdot(a,b)

It will produce the following output −

130

Note − 1*11 + 2*12 + 3*13 + 4*14 = 130

numpy_linear_algebra.htm
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