{"title":"无凸性Broyden算法的收敛性","authors":"D. Pu, Ailan Liu","doi":"10.1109/BIFE.2013.128","DOIUrl":null,"url":null,"abstract":"In this paper we discuss the convergence of the Broyden algorithms without convexity and exact line search assumptions. We proved that if the objective function is suitably smooth and the algorithm produces a convergence point sequence, then the limit point of the sequence is a critical point of the objective function.","PeriodicalId":174908,"journal":{"name":"2013 Sixth International Conference on Business Intelligence and Financial Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Convergence of Broyden Algorithms without Convexity\",\"authors\":\"D. Pu, Ailan Liu\",\"doi\":\"10.1109/BIFE.2013.128\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we discuss the convergence of the Broyden algorithms without convexity and exact line search assumptions. We proved that if the objective function is suitably smooth and the algorithm produces a convergence point sequence, then the limit point of the sequence is a critical point of the objective function.\",\"PeriodicalId\":174908,\"journal\":{\"name\":\"2013 Sixth International Conference on Business Intelligence and Financial Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Sixth International Conference on Business Intelligence and Financial Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIFE.2013.128\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Sixth International Conference on Business Intelligence and Financial Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIFE.2013.128","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Convergence of Broyden Algorithms without Convexity
In this paper we discuss the convergence of the Broyden algorithms without convexity and exact line search assumptions. We proved that if the objective function is suitably smooth and the algorithm produces a convergence point sequence, then the limit point of the sequence is a critical point of the objective function.