{"title":"基于tresca屈服准则的弹塑性分析加速近端梯度法注记","authors":"Wataru Shimizu, Y. Kanno","doi":"10.15807/jorsj.63.78","DOIUrl":null,"url":null,"abstract":"Diverse accelerated first-order methods have recently received considerable attention for solving large-scale convex optimization problems. This short paper shows that an exiting accelerated proximal gradient method for solving quasi-static incremental elastoplastic problems with the von Mises yield criterion can be naturally extended to the Tresca yield criterion.","PeriodicalId":51107,"journal":{"name":"Journal of the Operations Research Society of Japan","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A NOTE ON ACCELERATED PROXIMAL GRADIENT METHOD FOR ELASTOPLASTIC ANALYSIS WITH TRESCA YIELD CRITERION\",\"authors\":\"Wataru Shimizu, Y. Kanno\",\"doi\":\"10.15807/jorsj.63.78\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Diverse accelerated first-order methods have recently received considerable attention for solving large-scale convex optimization problems. This short paper shows that an exiting accelerated proximal gradient method for solving quasi-static incremental elastoplastic problems with the von Mises yield criterion can be naturally extended to the Tresca yield criterion.\",\"PeriodicalId\":51107,\"journal\":{\"name\":\"Journal of the Operations Research Society of Japan\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Operations Research Society of Japan\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15807/jorsj.63.78\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Decision Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Operations Research Society of Japan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15807/jorsj.63.78","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Decision Sciences","Score":null,"Total":0}
A NOTE ON ACCELERATED PROXIMAL GRADIENT METHOD FOR ELASTOPLASTIC ANALYSIS WITH TRESCA YIELD CRITERION
Diverse accelerated first-order methods have recently received considerable attention for solving large-scale convex optimization problems. This short paper shows that an exiting accelerated proximal gradient method for solving quasi-static incremental elastoplastic problems with the von Mises yield criterion can be naturally extended to the Tresca yield criterion.
期刊介绍:
The journal publishes original work and quality reviews in the field of operations research and management science to OR practitioners and researchers in two substantive categories: operations research methods; applications and practices of operations research in industry, public sector, and all areas of science and engineering.