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Local solutions of constrained minimization problems and critical points of Lipschitz functions

机译:约束最小化问题和Lipschitz函数临界点的局部解

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摘要

In this paper we use the penalty approach in order to study two constrained nonconvex minimization problems with locally Lipschitzian objective and constraint functions in a Banach space. We show that a local minimizer of the constrained minimization problem which is not a critical point of the constraint function is also a local minimizer of a corresponding unconstrained penalized problem if a penalty coefficient is large enough.
机译:在本文中,我们使用惩罚方法来研究Banach空间中具有局部Lipschitzian目标和约束函数的两个约束非凸最小化问题。我们表明,如果惩罚系数足够大,则约束最小化问题的局部最小化器(不是约束函数的关键点)也是相应的非约束惩罚问题的局部最小化器。

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