3. Write a function to solve Ax -b using the Jacobi iterative method. The function should take in the following as inputs: a matrix A of size n n a vector b of size n 1 a number et that specifies the total relative squared error tolerance he maximum number of iterations to attempt kmar * t The outputs of the function should be a status variable that indicates whether the solution did or did not converge within kmax iterations the solution vector x ] The function should iterate until the total estimated squared error summed across all elements is less than the tolerance t, where total relative squared error is defined as i=1 Use the fprintf command to print the error at each iteration to the command window. The function should only iterate until a converged solution has been found. This happens when the relative error is less than EIf this happens before kmac iterations are performed, no more iterations should be