{"title":"多重积分的蒙特卡罗计算方法","authors":"Jieqiong Wu, Jian-Pin Li, Dewu Xie, Fengjiao Fan","doi":"10.1109/ICCWAMTIP.2014.7073457","DOIUrl":null,"url":null,"abstract":"In this paper, we introduce the general computing methods of multiple integration, and analysis the limitation and range in the application of solving the practice problems. Monte Carlo method of uniform random sampling number has explained the basic idea of Monte Carlo algorithm and its application in multiple integrals. Thus, from theory and example, we give a rapid calculation based on MATLAB tool, and could obtain a valuable approximation.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"The Monte Carlo calculation method of multiple integration\",\"authors\":\"Jieqiong Wu, Jian-Pin Li, Dewu Xie, Fengjiao Fan\",\"doi\":\"10.1109/ICCWAMTIP.2014.7073457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we introduce the general computing methods of multiple integration, and analysis the limitation and range in the application of solving the practice problems. Monte Carlo method of uniform random sampling number has explained the basic idea of Monte Carlo algorithm and its application in multiple integrals. Thus, from theory and example, we give a rapid calculation based on MATLAB tool, and could obtain a valuable approximation.\",\"PeriodicalId\":211273,\"journal\":{\"name\":\"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCWAMTIP.2014.7073457\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCWAMTIP.2014.7073457","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Monte Carlo calculation method of multiple integration
In this paper, we introduce the general computing methods of multiple integration, and analysis the limitation and range in the application of solving the practice problems. Monte Carlo method of uniform random sampling number has explained the basic idea of Monte Carlo algorithm and its application in multiple integrals. Thus, from theory and example, we give a rapid calculation based on MATLAB tool, and could obtain a valuable approximation.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
