dask.array.vdot
dask.array.vdot¶
- dask.array.vdot(a, b, /)[source]¶
This docstring was copied from numpy.vdot.
Some inconsistencies with the Dask version may exist.
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 1-D vectors first. Consequently, it should only be used for vectors.
- Parameters
- aarray_like
If a is complex the complex conjugate is taken before calculation of the dot product.
- barray_like
Second argument to the dot product.
- Returns
- outputndarray
Dot product of a and b. Can be an int, float, or complex depending on the types of a and b.
See also
dot
Return the dot product without using the complex conjugate of the first argument.
Examples
>>> import numpy as np >>> 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 30