def back_subs(G, b, nargout = 1): … Replace this comment with code – write a function to perform back substitution to solve the matrix equation Gx = b – assume G is invertible and upper triangular – the function should return the solution vector x – the function should work for square matrices of any size … return(x) def cholesky_factor (A, nargout = 1): R = np.zeros(A.shape) … Replace this comment with code – write a function to find the Cholesky factor of a positive definite matrix (use the bordered form). – Assume A is positive definite – the function should return the Cholesky factor R – The function should work for square matrices of any size … return (R) print (The Cholesky factor of A is cholesky_factor (1))
