{"title":"搜索最大和向量的验证数值计算","authors":"Yukiko Uchino, K. Ozaki","doi":"10.15748/JASSE.8.53","DOIUrl":null,"url":null,"abstract":". This study proposes a numerical method for searching for vectors whose sum of all elements is maximum. The vector search can be applied to many scientific problems. If we use numerical computations without considering rounding errors, in a worst-case sce-nario, we might find incorrect vectors as a result. We propose herein an adaptive method designed to work accurately, regardless of the rounding error problems, based on an error-free transformation of a floating-point vector.","PeriodicalId":41942,"journal":{"name":"Journal of Advanced Simulation in Science and Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Verified Numerical Computations for Searching for Vectors with the Maximum Sum\",\"authors\":\"Yukiko Uchino, K. Ozaki\",\"doi\":\"10.15748/JASSE.8.53\",\"DOIUrl\":null,\"url\":null,\"abstract\":\". This study proposes a numerical method for searching for vectors whose sum of all elements is maximum. The vector search can be applied to many scientific problems. If we use numerical computations without considering rounding errors, in a worst-case sce-nario, we might find incorrect vectors as a result. We propose herein an adaptive method designed to work accurately, regardless of the rounding error problems, based on an error-free transformation of a floating-point vector.\",\"PeriodicalId\":41942,\"journal\":{\"name\":\"Journal of Advanced Simulation in Science and Engineering\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Advanced Simulation in Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15748/JASSE.8.53\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advanced Simulation in Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15748/JASSE.8.53","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Verified Numerical Computations for Searching for Vectors with the Maximum Sum
. This study proposes a numerical method for searching for vectors whose sum of all elements is maximum. The vector search can be applied to many scientific problems. If we use numerical computations without considering rounding errors, in a worst-case sce-nario, we might find incorrect vectors as a result. We propose herein an adaptive method designed to work accurately, regardless of the rounding error problems, based on an error-free transformation of a floating-point vector.