KKT conditions, or Karush-Kuhn-Tucker conditions, are a set of mathematical criteria used to determine the optimality of a solution in constrained optimization problems. These conditions extend the concept of optimality by incorporating constraints into the analysis, allowing for the identification of optimal solutions under both equality and inequality constraints. They form a crucial bridge between unconstrained and constrained optimization methods, enhancing the understanding of how solutions can be efficiently found in various mathematical contexts.
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