# scipy.linalg.det

scipy.linalg.det(a, overwrite_a=False, check_finite=True)

  Compute the determinant of a matrix

  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

  Parameters
    a(M, M) array_like

      A square matrix.

    overwrite_a bool, optional

      Allow overwriting data in a (may enhance performance).

    check_finite bool, optional

      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.

  Returns
    det float or complex

      Determinant of a.

  Notes

  The determinant is computed via LU factorization, LAPACK routine z/dgetrf.

  Examples

      >>> 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]])
      >>> linalg.det(a)
      3.0

scipy.linalg.matmul_toeplitz scipy.linalg.norm