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Regularity Conditions for Concave Programming in Finite Dimensional Spaces.

机译:有限维空间凹面规划的正则性条件。

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Constrained maximum problems with finitely many variables and finitely many constraints are examined with the assumption that the objective and the constraint functions are concave but not necessarily differentiable. A regularity condition necessary and sufficient for a maximum to be attained and for the problems to be reducible to saddle-point problems is presented. Further, a constraint qualification sufficient for the problems to be regular for any concave objective function is presented,of which Slater-Uzawa's constraint qualifications are special cases. (Author)

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