{"title":"An efficient solution algorithm for boundary element equations","authors":"JoséL. Ortiz, C.V. Girija Vallabhan","doi":"10.1016/0961-3552(91)90017-X","DOIUrl":null,"url":null,"abstract":"<div><p>Boundary element techniques result in the solution of a linear system of equations of the type HU = GQ + B, which can be transformed into a system of equations of the type AX = F. The coefficient matrix A requires the storage of a full matrix on the computer. This storage requirement, of the order of <em>n</em><sup>*</sup><em>n</em> memory positions (<em>n</em> = number of equations), for a very large <em>n</em> is often considered negative for the boundary element method. Here, two algorithms are presented where the memory requirements to solve the system are only <em>n</em><sup>*</sup>(<em>n</em> - 1)/2 and <em>n</em><sup>*</sup><em>n</em>/4 respectively. The algorithms do not necessitate any external storage devices nor do they increase the computational efforts.</p></div>","PeriodicalId":100044,"journal":{"name":"Advances in Engineering Software and Workstations","volume":"13 4","pages":"Pages 197-205"},"PeriodicalIF":0.0000,"publicationDate":"1991-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0961-3552(91)90017-X","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Engineering Software and Workstations","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/096135529190017X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Boundary element techniques result in the solution of a linear system of equations of the type HU = GQ + B, which can be transformed into a system of equations of the type AX = F. The coefficient matrix A requires the storage of a full matrix on the computer. This storage requirement, of the order of n*n memory positions (n = number of equations), for a very large n is often considered negative for the boundary element method. Here, two algorithms are presented where the memory requirements to solve the system are only n*(n - 1)/2 and n*n/4 respectively. The algorithms do not necessitate any external storage devices nor do they increase the computational efforts.