![]() ![]() The program’s sensitivity analysis also creates the basis to appropriately formulate the optimization task with respect to choice and number of objectives or possible constraints, helping you quickly zero in on the best approximation model. optiSLang’s algorithms and correlation analysis automatically identify the most salient variables, reducing the number of design variables you must worry about. Multidisciplinary optimization tasks often require a huge number of variables, and it can be difficult to know where to focus. ![]() ![]() Parameter-based variation analysis gives you insight into how your design behaves under variability. Simulation plays a big role in understanding products and processes, especially complex ones. ![]()
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