The tuning tool looks at parameters to improve solving time. If your model suffers from numeric instability, the tuning tool will not attempt to correct that problem. Furthermore, if there is insufficient memory to accomodate optimization of your model, the tuning tool will not correct that problem either. In short, the tuning tool does not magically eliminate all performance bottlenecks. However, if you understand the performance issues of your model, the tuning tool can help you discern parameter settings that lead to faster solving time.

The recommended practice with the tuning tool is to solve your model first with default settings and to consider the results before invoking the tuning tool. Your analysis of those results directs you toward the next step. The following sections sketch typical scenarios for working effectively with the tuning tool and outline what to expect from the tuing tool.