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In optimization, Karush-Kuhn-Tucker conditions refers to first-order conditions that an optimal point of a constrained nonlinear program must satisfy, combining stationarity, feasibility and complementary slackness. This meaning comes from Kuhn (1951) in Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability.[1]
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