{"title":"Simulating composite metallic and dielectric objects by an improved multilevel Green's function interpolation method","authors":"P. Zhao, C. Chan","doi":"10.1109/IWEM.2013.6888779","DOIUrl":null,"url":null,"abstract":"As the kernel of multilevel Green's function interpolation method (MLGFIM), radial basis function interpolation always has large interpolation errors near boundary because of an ill-conditioning of spectrally accurate methods on uniformly distributed points. To remedy this problem, a new interpolation grid pattern with boundary clustered distribution is proposed to improve the Green's function interpolation. By applying this new grid, the efficiency of MLGFIM is greatly enhanced. Numerical experiments have been given to demonstrate the accuracy and efficiency of the proposed method.","PeriodicalId":119627,"journal":{"name":"2013 IEEE International Workshop on Electromagnetics, Applications and Student Innovation Competition","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Workshop on Electromagnetics, Applications and Student Innovation Competition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWEM.2013.6888779","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
As the kernel of multilevel Green's function interpolation method (MLGFIM), radial basis function interpolation always has large interpolation errors near boundary because of an ill-conditioning of spectrally accurate methods on uniformly distributed points. To remedy this problem, a new interpolation grid pattern with boundary clustered distribution is proposed to improve the Green's function interpolation. By applying this new grid, the efficiency of MLGFIM is greatly enhanced. Numerical experiments have been given to demonstrate the accuracy and efficiency of the proposed method.
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