Monte Carlo Case Control
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The Monte Carlo input controller is similar to Manual Case Control component. The difference is that a standard deviation can be specified to allow variation of the input value. Note that multiple input parameters can be specified. A random generator is used to create a user defined amount of input series using an inverse normal cumulative distribution function to calculate the input parameters based on the actual mean values and their respective standard deviations.
Note that the Nr. of iteration intervals per point can be used to speed up the calculations by choosing a small value. Although a decrease in calculation step size increases iteration stability, a relative large step can be chosen since the input variations are generally small for the solver.