The exactness of the 81 penalty function for a class of mathematical programs with generalized complementarity constraints

被引:0
作者
Hu, Yukuan [1 ,2 ]
Liu, Xin [1 ,2 ]
机构
[1] Chinese Acad Sci, Acad Math & Syst Sci, State Key Lab Sci & Engn Comp, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
来源
FUNDAMENTAL RESEARCH | 2024年 / 4卷 / 06期
基金
中国国家自然科学基金;
关键词
Mathematical program with generalized; complementarity constraints; Exact penalty; Multi-affine objective function; Error bound; BILEVEL MODEL; OPTIMALITY CONDITIONS; OPTIMIZATION; QUALIFICATION; STATIONARITY;
D O I
10.1016/j.fmre.2023.04.006
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In a mathematical program with generalized complementarity constraints (MPGCC), complementarity relation is imposed between each pair of variable blocks. MPGCC includes the traditional mathematical program with complementarity constraints (MPCC) as a special case. On account of the disjunctive feasible region, MPCC and MPGCC are generally difficult to handle. The 81 penalty method, often adopted in computation, opens a way of circumventing the difficulty. Yet it remains unclear about the exactness of the 81 penalty function, namely, whether there exists a sufficiently large penalty parameter so that the penalty problem shares the optimal solution set with the original one. In this paper, we consider a class of MPGCCs that are of multi-affine objective functions. This problem class finds applications in various fields, e.g., the multi-marginal optimal transport problems in many-body quantum physics and the pricing problems in network transportation. We first provide an instance from this class, the exactness of whose 81 penalty function cannot be derived by existing tools. We then establish the exactness results under rather mild conditions. Our results cover those existing ones for MPCC and apply to multi-block contexts.
引用
收藏
页码:1459 / 1464
页数:6
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