What really means when the teacher asks me to iterate on Gauss-Seidel considering a maximum variation of 0.01? My teacher has a problem that asks me to iterate on Gauss-Seidel equations considering a maximum variation of 0.01. This means making the first iteration and get check if the max of each error is less that 1%? err(x1) = (actual-guess)/actual = 100% err(x2) = 100% err = max(err(x1), err(x2)) Need another iteration because the err > than requested. Is this what it really means? thanks

Don't think so. In real life, you never know what the **true** answer to your problem is (call it $x^*$ for convenience). In practice, you use deviation from the previous iterate as a stopping criterion. So instead of computing error as $|x_n - x^*|$, use $|x_n - x_{n-1}|$.