vdot(a, b, /)
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 1-D vectors first. Consequently, it should only be used for vectors.
If a is complex the complex conjugate is taken before calculation of the dot product.
Second argument to the dot product.
Dot product of a and b. Can be an int, float, or complex depending on the types of a and b.
Return the dot product of two vectors.
dot
Return the dot product without using the complex conjugate of the first argument.
>>> a = np.array([1+2j,3+4j])
... b = np.array([5+6j,7+8j])
... np.vdot(a, b) (70-8j)
>>> np.vdot(b, a) (70+8j)
Note that higher-dimensional 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 30See :
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.core._multiarray_umath.dot
numpy.dot
numpy.vdot
numpy.core._multiarray_umath.vdot
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