{"title":"麦克斯韦方程组数值解的自适应局部离散卷积方法","authors":"B. Lo, P. Colella","doi":"10.2140/camcos.2019.14.105","DOIUrl":null,"url":null,"abstract":"We present a numerical method for solving the free-space Maxwell's equations in three dimensions using compact convolution kernels on a rectangular grid. We first rewrite Maxwell's Equations as a system of wave equations with auxiliary variables and discretize its solution from the method of spherical means. The algorithm has been extended to be used on a locally-refined nested hierarchy of rectangular grids.","PeriodicalId":49265,"journal":{"name":"Communications in Applied Mathematics and Computational Science","volume":"170 1","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2018-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"An adaptive local discrete convolution method\\nfor the numerical solution of Maxwell’s equations\",\"authors\":\"B. Lo, P. Colella\",\"doi\":\"10.2140/camcos.2019.14.105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a numerical method for solving the free-space Maxwell's equations in three dimensions using compact convolution kernels on a rectangular grid. We first rewrite Maxwell's Equations as a system of wave equations with auxiliary variables and discretize its solution from the method of spherical means. The algorithm has been extended to be used on a locally-refined nested hierarchy of rectangular grids.\",\"PeriodicalId\":49265,\"journal\":{\"name\":\"Communications in Applied Mathematics and Computational Science\",\"volume\":\"170 1\",\"pages\":\"\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2018-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Applied Mathematics and Computational Science\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.2140/camcos.2019.14.105\",\"RegionNum\":3,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Applied Mathematics and Computational Science","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.2140/camcos.2019.14.105","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
An adaptive local discrete convolution method
for the numerical solution of Maxwell’s equations
We present a numerical method for solving the free-space Maxwell's equations in three dimensions using compact convolution kernels on a rectangular grid. We first rewrite Maxwell's Equations as a system of wave equations with auxiliary variables and discretize its solution from the method of spherical means. The algorithm has been extended to be used on a locally-refined nested hierarchy of rectangular grids.
期刊介绍:
CAMCoS accepts innovative papers in all areas where mathematics and applications interact. In particular, the journal welcomes papers where an idea is followed from beginning to end — from an abstract beginning to a piece of software, or from a computational observation to a mathematical theory.