{"title":"具有互补约束的数学规划的非精确解方法","authors":"H. Azizi, Abdeslam Kadrani","doi":"10.1109/ICOA49421.2020.9094474","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":253361,"journal":{"name":"2020 IEEE 6th International Conference on Optimization and Applications (ICOA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Inexact Solution Approach for the Mathematical Program with Complementarity Constraints\",\"authors\":\"H. Azizi, Abdeslam Kadrani\",\"doi\":\"10.1109/ICOA49421.2020.9094474\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":253361,\"journal\":{\"name\":\"2020 IEEE 6th International Conference on Optimization and Applications (ICOA)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 6th International Conference on Optimization and Applications (ICOA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOA49421.2020.9094474\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 6th International Conference on Optimization and Applications (ICOA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOA49421.2020.9094474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.