True Convergence means that an iterative process has reached a point where it is producing results that are stable and consistent. In other words, "true convergence" implies that the algorithm or method is effectively solving the problem it was designed for. On the other hand, "No Convergence" indicates that an iterative process or numerical method has not reached a stable or consistent solution after a certain number of iterations. In other words, the process may be oscillating or diverging, and it is not producing the desired result.