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When does Monte-Carlo simulation fail to be an efficient approximation method?
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General
When you're addressing this question, focus on the scenarios where Monte Carlo simulation becomes computationally intensive or where it lacks precision due to high variability in the outcomes. Also, consider situations where the underlying assumptions of Monte Carlo don't hold, leading to inefficient or inaccurate approximations.
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