det(a)
Broadcasting rules apply, see the numpy.linalg
documentation for details.
The determinant is computed via LU factorization using the LAPACK routine z/dgetrf
.
Input array to compute determinants for.
Compute the determinant of an array.
scipy.linalg.det
Similar function in SciPy.
slogdet
Another way to represent the determinant, more suitable for large matrices where underflow/overflow may occur.
The determinant of a 2-D array [[a, b], [c, d]] is ad - bc:
>>> a = np.array([[1, 2], [3, 4]])
... np.linalg.det(a) -2.0 # may vary
Computing determinants for a stack of matrices:
>>> a = np.array([ [[1, 2], [3, 4]], [[1, 2], [2, 1]], [[1, 3], [3, 1]] ])
... a.shape (3, 2, 2)
>>> np.linalg.det(a) array([-2., -3., -8.])See :
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.linalg.slogdet
scipy.signal._ltisys.place_poles
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