Computational Thinking, Python, Linear Algebra, Linear Regression, Jupyter Notebook.
@ A_inv) 5.0516495470543212 np.linalg.cond(A) 2.2271635826494112e+17 A @ A_inv row_names = ['Normal Eqns- Naive', 'QR Factorization', 'SVD', 'Scipy lstsq'] name2func = {'Normal Eqns- Naive': 'ls_naive', 'QR Factorization': 'ls_qr', 'SVD': 'ls_svd', 'Scipy lstsq': 'scipylstq'}