{"title":"Using the C language to approximate non-linear stochastic systems","authors":"Sergio E. Serrano","doi":"10.1016/0141-1195(90)90020-7","DOIUrl":null,"url":null,"abstract":"<div><p>Recognizing the growing popularity and demand for scientific or numerical libraries in the C computer language, and the shortage of systematic methods for the increasingly important non-linear stochastic systems, this article attempts to present a method to approximate the solution of systems governed by non-linear stochastic differential equations and the corresponding algorithm and computer code in the C language. It was found that the C language offers promising possibilities for the stochastic systems modeler. It is hoped the use of C for the analysis of these type of problems will be encouraged.</p></div>","PeriodicalId":100043,"journal":{"name":"Advances in Engineering Software (1978)","volume":"12 2","pages":"Pages 59-68"},"PeriodicalIF":0.0000,"publicationDate":"1990-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0141-1195(90)90020-7","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Engineering Software (1978)","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0141119590900207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Recognizing the growing popularity and demand for scientific or numerical libraries in the C computer language, and the shortage of systematic methods for the increasingly important non-linear stochastic systems, this article attempts to present a method to approximate the solution of systems governed by non-linear stochastic differential equations and the corresponding algorithm and computer code in the C language. It was found that the C language offers promising possibilities for the stochastic systems modeler. It is hoped the use of C for the analysis of these type of problems will be encouraged.