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首页> 外文期刊>Journal of Optimization Theory and Applications >On Regularity for Constrained Extremum Problems. Part 2: Necessary Optimality Conditions
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On Regularity for Constrained Extremum Problems. Part 2: Necessary Optimality Conditions

机译:关于约束极值问题的规律性。第2部分:必要的最优性条件

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摘要

A particular theorem for linear separation between two sets is applied in the image space associated with a constrained extremum problem. In this space, the two sets are a convex cone, depending on the constraints (equalities and inequalities) of the given problem and the homogenization of its image. It is proved that the particular linear separation is equivalent to the existence of Lagrangian multipliers with a positive multiplier associated with the objective function (i.e., a necessary optimality condition). A comparison with the constraint qualifications and the regularity conditions existing in the literature is performed.
机译:在与约束极值问题相关的图像空间中应用了两个集合之间线性分离的特定定理。在此空间中,根据给定问题的约束(均等和不等式)及其图像的均质化,这两个集合为凸锥。证明了特定的线性分离等效于拉格朗日乘子的存在,该乘子具有与目标函数相关的正乘子(即必要的最优性条件)。与文献中存在的约束条件和规则性条件进行比较。

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