numpy.vdot(a, b)
Return the dot product of two vectors.
The vdot(a
, b
) function handles complex numbers differently than dot(a
, b
). If the first argument is complex the complex conjugate of the first argument is used for the calculation of the dot product.
Note that vdot
handles multidimensional arrays differently than dot
: it does not perform a matrix product, but flattens input arguments to 1D vectors first. Consequently, it should only be used for vectors.
Parameters: 


Returns: 

See also
dot
>>> a = np.array([1+2j,3+4j]) >>> b = np.array([5+6j,7+8j]) >>> np.vdot(a, b) (708j) >>> np.vdot(b, a) (70+8j)
Note that higherdimensional arrays are flattened!
>>> a = np.array([[1, 4], [5, 6]]) >>> b = np.array([[4, 1], [2, 2]]) >>> np.vdot(a, b) 30 >>> np.vdot(b, a) 30 >>> 1*4 + 4*1 + 5*2 + 6*2 30
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https://docs.scipy.org/doc/numpy1.17.0/reference/generated/numpy.vdot.html