Computational Thinking, Python, Linear Algebra, Linear Regression, Jupyter Notebook.
removed np.asfortranarray A = np.hstack([A2, A2]) A.shape, A2.shape ((100, 10), (100, 5)) b = A @ x + np.random.normal(0,1,m) row_names = ['Normal Eqns- Naive', 'QR Factorization', 'SVD', 'Scipy lstsq'] name2func = {'Normal Eqns- Naive': 'ls_naive', 'QR Factorization': 'ls_qr', 'SVD': 'ls_svd',