How Many Rays Do I Need for Monte Carlo Optimization?
BXzn-S While it is important to ensure that a sufficient number of rays are traced to
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iQ/t distinguish the merit function value from the noise floor, it is often not necessary to
>ocDh~@aP trace as many rays during optimization as you might to obtain a given level of
Lm!/iseGv accuracy for analysis purposes. What matters during optimization is that the
d ynq)lf changes the optimizer makes to the model affect the merit function in the same way
`rWT^E@p5m that the overall performance is affected. It is possible to define the merit function so
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