Linear Algebra, Mathematics, Science, Computational Thinking.
y . So we have: Our matrix A of weights is: And the vector b containing the solutions of individual equations is: Under the matrix form, our system becomes Let’s find the inverse of A A = np.array([[2, -1], [1, 1]]) A A_inv = np.linalg.inv(A) A_inv array([[ 0.33333333, 0.33333333], [-0.33333333,