 Karush–Kuhn–Tucker conditions

The Karush–Kuhn–Tucker (KKT) conditions are a set of necessary conditions for a solution to be optimal for a constrained optimization problem. They are widely used in mathematical optimization, particularly in nonlinear programming. The KKT conditions generalize the method of Lagrange multipliers to handle problems with inequality constraints.