It was discussed that the consistent invexity of K S function which is the key function used by maxinum entropy method in optimization problems solution.

对求解最优化问题的极大熵方法中的关键函数—— K- S函数的一致不变凸性作了讨论，得出“K- S函数是一致不变凸的，则一定是不变凸的”结论。

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In this paper, we prove a theorem on the convergence of the gradient of K-S function to the subdifferential of corresponding maximum function.

本文证明了一条关于K - S函数的梯度收敛于相应的极大值由数的次微分的定理。

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