Can numpy.linalg.inv compute the inverse of a complex-valued matrix? There seems very little information about this question with google.
Do you mean like this?
In [190]: np.array([[1.2+3j,0],[0,2+3j]])
Out[190]:
array([[1.2+3.j, 0. +0.j],
[0. +0.j, 2. +3.j]])
In [191]: np.linalg.inv(_)
Out[191]:
array([[0.11494253-0.28735632j, 0. +0.j ],
[0. +0.j , 0.15384615-0.23076923j]])