{"title":"Bounded Monte Carlo integration using Java","authors":"Joshua A. Neese, G. Harrell, Jin Wang","doi":"10.1145/2638404.2638493","DOIUrl":null,"url":null,"abstract":"A Monte Carlo method using Java is proposed to solve bounded integrals. This method is efficient and solves simple to complex bounded integrals within seconds. It is especially powerful for the multidimensional integrals. Its accuracy depends on the number of trial integrations completed. The Monte Carlo method only needs a random number generator to be used in Java.","PeriodicalId":91384,"journal":{"name":"Proceedings of the 2014 ACM Southeast Regional Conference","volume":"130 3 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2014-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 ACM Southeast Regional Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2638404.2638493","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A Monte Carlo method using Java is proposed to solve bounded integrals. This method is efficient and solves simple to complex bounded integrals within seconds. It is especially powerful for the multidimensional integrals. Its accuracy depends on the number of trial integrations completed. The Monte Carlo method only needs a random number generator to be used in Java.