det(a, overwrite_a=False, check_finite=True)
The determinant of a square matrix is a value derived arithmetically from the coefficients of the matrix.
The determinant for a 3x3 matrix, for example, is computed as follows:
a b c d e f = A g h i det(A) = a*e*i + b*f*g + c*d*h - c*e*g - b*d*i - a*f*h
The determinant is computed via LU factorization, LAPACK routine z/dgetrf.
A square matrix.
Allow overwriting data in a (may enhance performance).
Whether to check that the input matrix contains only finite numbers. Disabling may give a performance gain, but may result in problems (crashes, non-termination) if the inputs do contain infinities or NaNs.
Compute the determinant of a matrix
>>> from scipy import linalg
... a = np.array([[1,2,3], [4,5,6], [7,8,9]])
... linalg.det(a) 0.0
>>> a = np.array([[0,2,3], [4,5,6], [7,8,9]])See :
... linalg.det(a) 3.0
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.special._orthogonal.chebyu
scipy.linalg._basic.det
scipy.special._orthogonal.chebyt
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