The Karush-Kuhn-Tucker (KKT) conditions are a set of mathematical criteria used to find the optimal solutions of constrained optimization problems. They extend the method of Lagrange multipliers to handle inequality constraints, making them particularly useful in convex optimization and linear programming scenarios. The KKT conditions provide necessary and sufficient conditions for optimality under certain conditions, helping in identifying the points that satisfy both the objective function and the constraints.
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