High-performance computing techniques can be used to speed up simulation and optimization for very complex systems, or problems with large numbers of variables. On the other hand, global optimizers search the entire problem space but typically require more calculations. Local optimizers provide fast convergence but risk converging to a local minimum rather than the overall best solution. They can also adapt material properties to fit measured data.ĬST Studio Suite contains several automatic optimization algorithms, both local and global. Users can find the optimum design parameters to achieve a given effect or fulfill a certain goal. This enables users to study the behavior of a device as its properties change. CST Studio Suite models can be parameterized with respect to their geometrical dimensions or material properties. CST Studio Suite® offers automatic optimization routines for electromagnetic systems and devices.
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