Robust optimization is a mathematical approach used to optimize decision-making under uncertainty, ensuring that solutions remain effective across a range of possible scenarios. This method focuses on minimizing the worst-case scenario impacts, making it particularly useful in situations where data may be incomplete or unreliable. By accounting for variability in inputs, robust optimization provides more reliable and resilient solutions in prescriptive analytics.
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