{"title":"有限元-弹体混合积分的H-LU预条件","authors":"Rui-Qing Liu, Ming-lin Yang, Biyi Wu, X. Sheng","doi":"10.1109/NEMO49486.2020.9343483","DOIUrl":null,"url":null,"abstract":"A flexible and efficient $\\mathcal{H}$-LU-based preconditioner ($\\mathcal{H}$-LU-P) is presented for the hybrid finite element-boundary integral-multilevel fast multipole algorithm (FE-BI-MLFMA) for solving 3D scattering by inhomogeneous objects in this paper. The formulation of FE-BI is firstly approximated by using locally approximated integral operators for the BI part to construct a FEM-ABC based precondition matrix. Then the precondition matrix equation is solved by the nested dissection (ND) accelerated $\\mathcal{H}$-LU-based fast direct solver. Performance of the $\\mathcal{H}$-LU-P is studied numerically for different problems, including the quasi-static problem, 2D extended and 3D extended electrodynamic problems, etc. Numerical experiments show the $\\mathcal{H}$-LU-P has an O(NlogN) memory complexity and an O(Nlog2N) CPU time complexity for the quasi-static, the 2D extended lossless and the 3D extended lossy problems. For the 3D extended lossless problems, the complexity is larger due to the increasing rank of the $\\mathcal{H}$-LU, but it still outperforms alternative direct solvers, such as the popular multifrontal-based solver MUMPS. Large realistic scattering problems with more than ten million unknowns are calculated, including a honeycomb structure with 8100 elements, showing the capability and efficiency of our proposed preconditioner.","PeriodicalId":305562,"journal":{"name":"2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An H-LU Preconditioner for the Hybrid Finite Element-Bomdaty Integral\",\"authors\":\"Rui-Qing Liu, Ming-lin Yang, Biyi Wu, X. Sheng\",\"doi\":\"10.1109/NEMO49486.2020.9343483\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A flexible and efficient $\\\\mathcal{H}$-LU-based preconditioner ($\\\\mathcal{H}$-LU-P) is presented for the hybrid finite element-boundary integral-multilevel fast multipole algorithm (FE-BI-MLFMA) for solving 3D scattering by inhomogeneous objects in this paper. The formulation of FE-BI is firstly approximated by using locally approximated integral operators for the BI part to construct a FEM-ABC based precondition matrix. Then the precondition matrix equation is solved by the nested dissection (ND) accelerated $\\\\mathcal{H}$-LU-based fast direct solver. Performance of the $\\\\mathcal{H}$-LU-P is studied numerically for different problems, including the quasi-static problem, 2D extended and 3D extended electrodynamic problems, etc. Numerical experiments show the $\\\\mathcal{H}$-LU-P has an O(NlogN) memory complexity and an O(Nlog2N) CPU time complexity for the quasi-static, the 2D extended lossless and the 3D extended lossy problems. For the 3D extended lossless problems, the complexity is larger due to the increasing rank of the $\\\\mathcal{H}$-LU, but it still outperforms alternative direct solvers, such as the popular multifrontal-based solver MUMPS. Large realistic scattering problems with more than ten million unknowns are calculated, including a honeycomb structure with 8100 elements, showing the capability and efficiency of our proposed preconditioner.\",\"PeriodicalId\":305562,\"journal\":{\"name\":\"2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NEMO49486.2020.9343483\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEMO49486.2020.9343483","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An H-LU Preconditioner for the Hybrid Finite Element-Bomdaty Integral
A flexible and efficient $\mathcal{H}$-LU-based preconditioner ($\mathcal{H}$-LU-P) is presented for the hybrid finite element-boundary integral-multilevel fast multipole algorithm (FE-BI-MLFMA) for solving 3D scattering by inhomogeneous objects in this paper. The formulation of FE-BI is firstly approximated by using locally approximated integral operators for the BI part to construct a FEM-ABC based precondition matrix. Then the precondition matrix equation is solved by the nested dissection (ND) accelerated $\mathcal{H}$-LU-based fast direct solver. Performance of the $\mathcal{H}$-LU-P is studied numerically for different problems, including the quasi-static problem, 2D extended and 3D extended electrodynamic problems, etc. Numerical experiments show the $\mathcal{H}$-LU-P has an O(NlogN) memory complexity and an O(Nlog2N) CPU time complexity for the quasi-static, the 2D extended lossless and the 3D extended lossy problems. For the 3D extended lossless problems, the complexity is larger due to the increasing rank of the $\mathcal{H}$-LU, but it still outperforms alternative direct solvers, such as the popular multifrontal-based solver MUMPS. Large realistic scattering problems with more than ten million unknowns are calculated, including a honeycomb structure with 8100 elements, showing the capability and efficiency of our proposed preconditioner.