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Analysis of direct searches for discontinuous functions

机译:直接搜索不连续函数的分析

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摘要

It is known that the Clarke generalized directional derivative is nonnegative along the limit directions generated by directional direct-search methods at a limit point of certain subsequences of unsuccessful iterates, if the function being minimized is Lipschitz continuous near the limit point. In this paper we generalize this result for discontinuous functions using Rockafellar generalized directional derivatives (upper subderivatives). We show that Rockafellar derivatives are also nonnegative along the limit directions of those subsequences of unsuccessful iterates when the function values converge to the function value at the limit point. This result is obtained assuming that the function is directionally Lipschitz with respect to the limit direction. It is also possible under appropriate conditions to establish more insightful results by showing that the sequence of points generated by these methods eventually approaches the limit point along the locally best branch or step function (when the number of steps is equal to two). The results of this paper are presented for constrained optimization and illustrated numerically.
机译:众所周知,如果最小化的函数在极限点附近是Lipschitz连续的,则Clarke广义方向导数在不成功迭代的某些子序列的极限点上沿着由方向直接搜索方法生成的极限方向是非负的。在本文中,我们使用Rockafellar广义方向性导数(上级子导数)针对不连续函数推广了该结果。我们证明,当函数值在极限点收敛到函数值时,Rockafellar导数在那些失败的迭代子序列的极限方向上也是非负的。假设该函数相对于极限方向在方向上为Lipschitz,则可获得该结果。通过显示由这些方法生成的点序列最终沿着局部最佳分支或阶跃函数(当阶数等于2时)最终接近极限点,也有可能建立更有洞察力的结果。提出了本文的结果用于约束优化,并给出了数值说明。

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