{"title":"一种梯度增强的单位代理模型划分和非解析函数的自适应采样策略","authors":"Garo Bedonian, Jason E. Hicken, Edwin Forster","doi":"10.1007/s00158-023-03620-x","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":21994,"journal":{"name":"Structural and Multidisciplinary Optimization","volume":" ","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A gradient-enhanced partition-of-unity surrogate model and adaptive sampling strategy for non-analytic functions\",\"authors\":\"Garo Bedonian, Jason E. Hicken, Edwin Forster\",\"doi\":\"10.1007/s00158-023-03620-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":21994,\"journal\":{\"name\":\"Structural and Multidisciplinary Optimization\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2023-06-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Structural and Multidisciplinary Optimization\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s00158-023-03620-x\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Structural and Multidisciplinary Optimization","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s00158-023-03620-x","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
期刊介绍:
The journal’s scope ranges from mathematical foundations of the field to algorithm and software development, and from benchmark examples to case studies of practical applications in structural, aero-space, mechanical, civil, chemical, naval and bio-engineering.
Fields such as computer-aided design and manufacturing, uncertainty quantification, artificial intelligence, system identification and modeling, inverse processes, computer simulation, bio-mechanics, bio-medical applications, nano-technology, MEMS, optics, chemical processes, computational biology, meta-modeling, DOE and active control of structures are covered when the topic is closely related to the optimization of structures or fluids.
Structural and Multidisciplinary Optimization publishes original research papers, review articles, industrial applications, brief notes, educational articles, book reviews, conference diary, forum section, discussions on papers, authors´ replies, obituaries, announcements and society news.