具有互补约束的数学规划的非精确解方法

H. Azizi, Abdeslam Kadrani
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引用次数: 0

摘要

针对具有互补约束的数学规划(MPCC),提出了一种基于惩罚公式和松弛格式的方法。我们用一个新的强近似平稳性概念讨论了收敛性分析。研究了一类正则化惩罚子问题生成的强近似平稳点序列的收敛性。在MPCC- mangasarian - fromovitz约束条件(MPCC- mfcq)下,我们证明了正则化惩罚子问题的强近似平稳点序列的任何累积点都是原MPCC的m平稳点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Inexact Solution Approach for the Mathematical Program with Complementarity Constraints
We propose an approach based on a penalty formulation and a relaxation scheme for mathematical programs with complementarity constraints (MPCC). We discuss the convergence analysis with a new strong approximate stationarity concept. The convergence of the sequence of strong approximate stationary points, generated by solving a family of regularized-penalized sub-problems, is investigated. Under the MPCC-Mangasarian-Fromovitz constraint qualifications (MPCC-MFCQ), we show that any accumulation point of the sequence of strong approximate stationary points of regularized-penalized sub-problems is a M-stationary point of the original MPCC.
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