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([[ 7, 0, 15], [ 3, 20, 6], [ 2, 28, 29]], order=31) In [4]: A_inv = np.linalg.inv(A); A_inv Out[4]: GF([[ 4, 11, 1], [ 8, 8, 22], [23, 30, 14]], order=31) In [5]: A_inv @ A Out[5]: GF([[1, 0, 0], [0, 1, 0], [0, 0, 1]], order=31)