using PYTHON

def PLU decomp(A,nargout-3): #Replace this comment with code #-write a function to compute the decomposition of a Matrix A using Gaussian elimination with partial pivoting (see p.99, theorem 1.8.8) #-the function should work for sguare matrices #-the function should return the permutation matrix P, rather than P transpose return(P,L,U) P, L , U PLU decomp ( mat 1 = print( 'The PLU decomposition of A def solve_system(A, b,nargout-1): x = np. zeros ( b . Shape) #Replace this comment with code #-write a function to solve the system Ax=b #-use the functions forward subs, back subs #-the function should return the solution #-The function should work for sguare matrices where A has nonsingular principal minors from assignment 2 vector x of any size return(x) def PLU decomp(A,nargout-3): #Replace this comment with code #-write a function to compute the decomposition of a Matrix A using Gaussian elimination with partial pivoting (see p.99, theorem 1.8.8) #-the function should work for sguare matrices #-the function should return the permutation matrix P, rather than P transpose return(P,L,U) P, L , U PLU decomp ( mat 1 = print( 'The PLU decomposition of A def solve_system(A, b,nargout-1): x = np. zeros ( b . Shape) #Replace this comment with code #-write a function to solve the system Ax=b #-use the functions forward subs, back subs #-the function should return the solution #-The function should work for sguare matrices where A has nonsingular principal minors from assignment 2 vector x of any size return(x)