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Global saddle points of nonlinear augmented Lagrangian functions

机译:非线性扩充拉格朗日函数的全局鞍点

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We notice that the results for the existence of global (local) saddle points of augmented Lagrangian functions in the literature were only sufficient conditions of some special types of augmented Lagrangian. In this paper, we introduce a general class of nonlinear augmented Lagrangian functions for constrained optimization problem. In two different cases, we present sufficient and necessary conditions for the existence of global saddle points. Moreover, as corollaries of the two results above, we not only obtain sufficient and necessary conditions for the existence of global saddle points of some special types of augmented Lagrangian functions mentioned in the literature, but also give some weaker sufficient conditions than the ones in the literature. Compared with our recent work (Wang et al. in Math Oper Res 38:740-760, 2013), the nonlinear augmented Lagrangian functions in this paper are more general and the results in this paper are original. We show that some examples (such as improved barrier augmented Lagrangian) satisfy the assumptions of this paper, but not available in Wang et al. (2013).
机译:我们注意到,在文献中,存在扩展的拉格朗日函数的全局(局部)鞍点的结果只是某些特殊类型的扩展拉格朗日的充分条件。在本文中,我们介绍了用于约束优化问题的一类非线性增强拉格朗日函数。在两种不同的情况下,我们为存在全局鞍点提供了充分必要的条件。此外,作为上述两个结果的推论,我们不仅为文献中提到的某些特殊类型的增强拉格朗日函数的全局鞍点的存在提供了充分必要的条件,而且还给出了比文献中的条件更弱的充分条件。文献。与我们最近的工作(Wang等人,Math Oper Res 38:740-760,2013)相比,本文中的非线性增强拉格朗日函数更为笼统,并且本文的结果是原始的。我们证明了一些例子(例如改进的障碍物增强拉格朗日算子)满足了本文的假设,但在Wang等人中却没有。 (2013)。

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