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A sufficient optimality theoriem for protoconvex programs
Abstract:
We establish two first order sufficient optimality theorems; one for unconstrained nonlinear minimization problem, and the other for constrained nonlinear minimization problems, both with non-differentiable protoconvex or quasiconvex data functions that are not necessarily locally Lipschitz
Keywords:Nonlinear programming  Non-differentiable  Protoconvex  Quasiconvex  Generalized gradient  Asymptotic gradient  First order optimality conditions  Kar-ush - Kuhn -Tucker conditions  Epigraph  Normal cone
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