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A New Type of Stable Generalized Convex Functions

机译:一种新型的稳定的广义凸函数

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S-quasiconvex functions (Phu and An, Optimization, Vol. 38, 1996) are stable with respect to the properties: "every lower level set is convex", "each local minimizer is a global minimizer", and "each stationary point is a global minimizer" (i.e., these properties remain true if a sufficiently small linear disturbance is added to a function of this class). In this paper, we introduce a subclass of s-quasiconvex functions, namely strictly s-quasiconvex functions which guarantee the uniqueness of the minimizer. The density of the set of these functions in the set of s -quasiconvex functions and some necessary and sufficient conditions of these functions are presented.
机译:S-拟凸函数(Phu和An,优化,第38卷,1996年)在以下属性方面是稳定的:“每个下级集都是凸的”,“每个局部最小化器是全局最小化器”和“每个固定点是全局最小化器”(即,如果将足够小的线性干扰添加到此类函数中,则这些属性将保持为真)。在本文中,我们介绍了s-拟凸函数的子类,即严格的s-拟凸函数,它保证了极小子的唯一性。给出了这些函数在s-拟凸函数集中的密度以及这些函数的一些充要条件。

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