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The subdifferential and the directional derivatives of the maximum of a family of convex functions. II

机译:一族凸函数的最大值的次微分和方向导数。 II

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The paper deals with calculating the directional derivatives and the subdifferential of the maximum of convex functions with no compactness conditions on the indexing set. We apply our results to the problems of minimax theory in which the Lagrange function is not assumed to be concave. We also apply these results to the duality theory of non-convex extremum problems, and strengthen earlier results of Yakubovich, Matveev and the author. We illustrate our results by investigating a problem of optimal design of experiments.
机译:本文研究了在索引集上没有紧缩条件的情况下计算凸函数最大值的方向导数和次微分。我们将结果应用到极小极大理论中,其中拉格朗日函数不假定为凹面的问题。我们还将这些结果应用于非凸极值问题的对偶理论,并加强了雅库波维奇,马特维耶夫和作者的早期结果。我们通过研究最佳实验设计问题来说明我们的结果。

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