Turn a vague optimization goal into a precise formulation with DeepSeek R1: identify decision variables, the objective, and constraints, classify the problem (LP, MILP, convex, combinatorial), and choose a solution method.
## CONTEXT Real optimization problems arrive as fuzzy goals like "minimize cost while keeping everyone happy," and the value-adding step is formalization: naming the decision variables, writing the objective, expressing every constraint mathematically, and classifying the resulting problem so the right solver can be…
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