
The authors study continuous-time nonlinear programming problem and show that the notion of Karush-Kuhn-Tucker (KKT) invexity, introduced by \textit{D. H. Martin} [J. Optimization Theory Appl. 47, 65--76 (1985; Zbl 0552.90077)] is a necessary and sufficient condition for a global optimality of a KKT point. It is also proved that Martins notion of weak duality invexity is a necessary and sufficient condition for weak duality.
Invexity, Applied Mathematics, weak duality, Continuous-time nonlinear programming, KKT-conditions, Weak duality, Nonconvex programming, global optimization, invexity, continuous-time nonlinear programming, global optimality, Nonlinear programming, Global optimality, Optimality conditions and duality in mathematical programming, Analysis
Invexity, Applied Mathematics, weak duality, Continuous-time nonlinear programming, KKT-conditions, Weak duality, Nonconvex programming, global optimization, invexity, continuous-time nonlinear programming, global optimality, Nonlinear programming, Global optimality, Optimality conditions and duality in mathematical programming, Analysis
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