approx = np.array((n, 1))
for i in range(0, iteration):
    j = (i-1) % m
    predx = approx
        approx = approx + np.multiply((f[:,j] - A[j,:].dot(approx)),(np.transpose(A[j, :])))

    plt.plot([pred[0], approx[0]], [pred[1], approx[1]], "r-")
    c = plt.plot([predx[1], approx[1]], [predx[2], approx[2]], "g-")
    pause(0.01)
    delete(c)

    if(la.norm(predx - approx) <= precision):
        break