Proof of Karush-Kuhn-Tucker (KKT) Conditions for Linear Programming Optimality
Students often struggle to distinguish between the 'slack' variables in the Simplex method and the KKT multipliers. Remember: Slack variables measure distance to the boundary in the primal space, while KKT multipliers measure the sensitivity (shadow price) of the objective function to changes in the boundary limits.
Institutional Reference: Linear and Integer Programming
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