The Karush-Kuhn-Tucker (KKT) conditions are a set of mathematical conditions that are used to find the optimal solutions of constrained optimization problems. These conditions extend the method of Lagrange multipliers by incorporating constraints that can be either equality or inequality, and they help in identifying local optima for non-linear programming problems where constraints limit the feasible region.
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