What happens to the expected runtime of a Monte Carlo simulation when the number of trials is drastically reduced?

💡 Explanation

The expected runtime increases because a smaller number of trials lowers the likelihood of converging to a correct or representative result within a reasonable time, therefore more iterations are needed. This is due to reduced confidence in the approximation, rather than changes in algorithm operations.

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