{"title":"EXACT TIME DEPENDENT CALCULATIONS FOR FLUIDS AND SOLIDS","authors":"E. Kansa","doi":"10.2495/BE420151","DOIUrl":null,"url":null,"abstract":"Meshfree transport calculations have been traditionally performed in the Lagrangian or particle velocity mode connected to an underlying distorting mesh. That is remapped (interpolated) onto a regular mesh. This primitive procedure was necessary with extremely primitive electronic computers that has extremely restrictive memory storage and execution speed. However, the meshless radial basis function approach allows points to move; without diffusive re-interpolation; one can choose to allow the motion at each interior point to convert the partial differential equation into an exact differential, thereby eliminating truncation errors. Given the proper tools to utilize extended arithmetic precision on computers, electronic computers can asymptotically approach the power of ideal academic mathematics and solve numerically problems approaching theoretical methods.","PeriodicalId":429597,"journal":{"name":"Boundary Elements and other Mesh Reduction Methods XLII","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Boundary Elements and other Mesh Reduction Methods XLII","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2495/BE420151","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
Meshfree transport calculations have been traditionally performed in the Lagrangian or particle velocity mode connected to an underlying distorting mesh. That is remapped (interpolated) onto a regular mesh. This primitive procedure was necessary with extremely primitive electronic computers that has extremely restrictive memory storage and execution speed. However, the meshless radial basis function approach allows points to move; without diffusive re-interpolation; one can choose to allow the motion at each interior point to convert the partial differential equation into an exact differential, thereby eliminating truncation errors. Given the proper tools to utilize extended arithmetic precision on computers, electronic computers can asymptotically approach the power of ideal academic mathematics and solve numerically problems approaching theoretical methods.