model. Instead of making one final decision, you make a "here-and-now" (first-stage) decision, then observe the random data, and finally make a "wait-and-see" (second-stage) adjustment to minimize total costs. 🛠️ Key Mathematical Pillars Lectures on stochastic programming : modeling and theory
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If you are looking for Shapiro's lectures specifically, here is the legal (and better) way to get the gold: Unlocking the Power of Stochastic Programming: A Review