{"title":"求解一类优化问题的一般迭代方法","authors":"A. Bagdasaryan, S. Kadry","doi":"10.1109/ICMSAO.2017.7934900","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a general iterative algorithm for numerical solution of high dimension optimization problems. The specificity of the problems considered is that the number of variables involved in linear constraints dominate over those involved in nonlinear constraints.","PeriodicalId":265345,"journal":{"name":"2017 7th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A general iterative method for solving a certain class of optimization problems\",\"authors\":\"A. Bagdasaryan, S. Kadry\",\"doi\":\"10.1109/ICMSAO.2017.7934900\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a general iterative algorithm for numerical solution of high dimension optimization problems. The specificity of the problems considered is that the number of variables involved in linear constraints dominate over those involved in nonlinear constraints.\",\"PeriodicalId\":265345,\"journal\":{\"name\":\"2017 7th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 7th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMSAO.2017.7934900\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMSAO.2017.7934900","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A general iterative method for solving a certain class of optimization problems
In this paper, we propose a general iterative algorithm for numerical solution of high dimension optimization problems. The specificity of the problems considered is that the number of variables involved in linear constraints dominate over those involved in nonlinear constraints.