In designing one often has to choose from various components. A design is assessed with regards to performance on some specified output parameters.
The ever increasing miniaturization e.g. may make production more complicated and hence the consequences of changes in size have to be taken into account.
A direct simulation (“white box”) would often not suffice if one is interested in the optimal result. Indeed, special techniques are needed for this. Another reason is that it is not possible to implement any possible design and then to check whether the design requirements are satisfied. This would not only cost too much time, but it would neither allow for gaining insight in the influence of fluctuations to the performance of the components used.
Therefore, stochastic simulation techniques are often being used. Using these, much fewer numerical simulation runs are needed. This accelerates the design process significantly.

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