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numpy.linalg.det(a)[source] -
Compute the determinant of an array.
Parameters: a : (..., M, M) array_like
Input array to compute determinants for.
Returns: det : (...) array_like
Determinant of
a.See also
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slogdet - Another way to representing the determinant, more suitable for large matrices where underflow/overflow may occur.
Notes
New in version 1.8.0.
Broadcasting rules apply, see the
numpy.linalgdocumentation for details.The determinant is computed via LU factorization using the LAPACK routine z/dgetrf.
Examples
The determinant of a 2-D array [[a, b], [c, d]] is ad - bc:
123>>> a=np.array([[1,2], [3,4]])>>> np.linalg.det(a)-2.0Computing determinants for a stack of matrices:
12345>>> 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.]) -
numpy.linalg.det()
2025-01-10 15:47:30
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