Computational Thinking, Python, Linear Algebra, Linear Regression, Jupyter Notebook.
columns=index) df_error = pd.DataFrame(index=row_names, columns=index) # %%prun for m in m_array: for n in n_array: if m >= n: x = np.random.uniform(-10,10,n) A = np.random.uniform(-40,40,[m,n]) # removed np.asfortranarray b = np.matmul(A, x) + np.random.normal(0,2,m) for name in row_names: fcn =