Consider the linear system of equations Ax=b, where A R"x", xER"x1, and b Rx. [2+d -1 -1 0 0 -1 0 -1 -1 2+d --0 b h = 0.1 and d = 1. Write a MATLAB program to solve the linear system Ax = b for n = methods: 10 and n = 10 with the following Gauss Siedel iterations. Use the convergence criterion of r()|| < 10-6. Plot the convergence history (residual versus iterations) of both methods in one figure and legend accordingly. Use semilogy for your plots. Explain your results. You can generate the above matrix in MATLAB using A = full (gallery ('tridiag', n, -1, 2+d, -1) /h). Consider the linear system of equations Ax=b, where A R"x", xER"x1, and b Rx. [2+d -1 -1 0 0 -1 0 -1 -1 2+d --0 b h = 0.1 and d = 1. Write a MATLAB program to solve the linear system Ax = b for n = methods: 10 and n = 10 with the following Gauss Siedel iterations. Use the convergence criterion of r()|| < 10-6. Plot the convergence history (residual versus iterations) of both methods in one figure and legend accordingly. Use semilogy for your plots. Explain your results. You can generate the above matrix in MATLAB using A = full (gallery ('tridiag', n, -1, 2+d, -1) /h).