np.linalg.inv
- np.linalg.inv(A)
Computes the inverse of the matrix.
References
Examples
In [1]: GF = galois.GF(31) # Ensure A is full rank and invertible In [2]: while True: ...: A = GF.Random((3,3)) ...: if np.linalg.matrix_rank(A) == 3: ...: break ...: In [3]: A Out[3]: GF([[30, 0, 11], [ 6, 9, 7], [10, 4, 14]], order=31) In [4]: A_inv = np.linalg.inv(A); A_inv Out[4]: GF([[29, 1, 21], [18, 0, 8], [14, 17, 16]], order=31) In [5]: A_inv @ A Out[5]: GF([[1, 0, 0], [0, 1, 0], [0, 0, 1]], order=31)