{"title":"关于梯形规则的后验误差界","authors":"B. Hong, Intae Ryoo, G. Khang","doi":"10.1109/ICOIN.2019.8718134","DOIUrl":null,"url":null,"abstract":"In this paper, we discuss the average case setting and the probabilistic setting of composite Trapezoidal rule assuming that the class of integrand on an interval [0], [1] is equipped with a variant of the r-fold wiener measure based on the a finite number of function values for numerical integration. Moreover, we compute a posteriori bounds on the error of Trapezoidal rule from a probabilistic point of view. This a new a posteriori error bound is better than a bound that is commonly used in practice.","PeriodicalId":422041,"journal":{"name":"2019 International Conference on Information Networking (ICOIN)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On a Posteriori Error Bounds of Trapezoidal Rule\",\"authors\":\"B. Hong, Intae Ryoo, G. Khang\",\"doi\":\"10.1109/ICOIN.2019.8718134\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we discuss the average case setting and the probabilistic setting of composite Trapezoidal rule assuming that the class of integrand on an interval [0], [1] is equipped with a variant of the r-fold wiener measure based on the a finite number of function values for numerical integration. Moreover, we compute a posteriori bounds on the error of Trapezoidal rule from a probabilistic point of view. This a new a posteriori error bound is better than a bound that is commonly used in practice.\",\"PeriodicalId\":422041,\"journal\":{\"name\":\"2019 International Conference on Information Networking (ICOIN)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Information Networking (ICOIN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOIN.2019.8718134\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Information Networking (ICOIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOIN.2019.8718134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we discuss the average case setting and the probabilistic setting of composite Trapezoidal rule assuming that the class of integrand on an interval [0], [1] is equipped with a variant of the r-fold wiener measure based on the a finite number of function values for numerical integration. Moreover, we compute a posteriori bounds on the error of Trapezoidal rule from a probabilistic point of view. This a new a posteriori error bound is better than a bound that is commonly used in practice.