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General constraint qualifications in nondifferentiable programming
Authors:R R Merkovsky  D E Ward
Institution:(1) Department of Mathematical Sciences, Purdue University Calumet, 46323 Hammond, IN, USA;(2) Department of Mathematics and Statistics, Miami University, 45056-1641 Oxford, OH, USA
Abstract:We show that a familiar constraint qualification of differentiable programming has ldquononsmoothrdquo counterparts. As a result, necessary optimality conditions of Kuhn—Tucker type can be established for inequality-constrained mathematical programs involving functions not assumed to be differentiable, convex, or locally Lipschitzian. These optimality conditions reduce to the usual Karush—Kuhn—Tucker conditions in the differentiable case and sharpen previous results in the locally Lipschitzian case.
Keywords:Constraint qualification  tangent cone  directional derivative  subgradient  upper convex approximate  nondifferentiable programming
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