'Determinant over a specific axis using numpy
Suppose I have a numpy array A with shape (j,d,d) and I want to obtain an array with shape j, in which each entry corresponds to the determinant of each (d,d) array.
I tried using np.apply_along_axis(np.linalg.det(A), axis=0), but np.apply_along_axis only seems to work for 1D slices.
Is there an efficient way of doing that using only numpy?
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|