- jax.numpy.linalg.slogdet(a, *, method=None)#
Compute the sign and (natural) logarithm of the determinant of an array.
LAX-backend implementation of
Original docstring below.
If an array has a very small or very large determinant, then a call to det may overflow or underflow. This routine is more robust against such issues, because it computes the logarithm of the determinant rather than the determinant itself.
sign ((…) array_like) – A number representing the sign of the determinant. For a real matrix, this is 1, 0, or -1. For a complex matrix, this is a complex number with absolute value 1 (i.e., it is on the unit circle), or else 0.
logdet ((…) array_like) – The natural log of the absolute value of the determinant.
If the determinant is zero, then sign will be 0 and logdet will be
-Inf. In all cases, the determinant is equal to
sign * np.exp(logdet).