= KKT point
{c}
A <KKT point> is a <feasible point> admitting <Lagrange multipliers> that satisfy the <Karush-Kuhn-Tucker conditions>. Some authors use the name for the full primal and multiplier pair; specify the multipliers when this distinction matters. For a <convex optimization> problem with a <differentiable> <convex function> as its <objective function>, convex inequality functions and affine equality constraints, the <KKT conditions> certify a <global minimizer>. Their necessity requires an appropriate <constraint qualification>.
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