In this work, a proper orthogonal decomposition (POD) method is applied to time-domain Maxwell's equations coupled to a Drude dispersion model, which are discretized in space by a discontinuous Galerkin (DG) method. An auxiliary differential equation (ADE) method is used to represent the constitutive relation for the dispersive medium. A POD-DGTD formulation with lower dimension and sufficiently high accuracy is established, together with the description of the POD reduced-order basis, its construction from a snapshot set, and its application to the solution of the time-domain Maxwell's equations. The overall goal is to reduce the computational time while maintaining an acceptable level of accuracy, in order to obtain an efficient time-domain solver to be used as a starting point for an optimization strategy. We provide results from numerical experiments for two-dimensional problems that illustrate the capabilities of the proposed POD-DGTD formulation and assess its efficiency. (C) 2018 Elsevier B.V. All rights reserved.
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North China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R ChinaNorth China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China
Luo, Zhendong
Li, Lei
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Guizhou Normal Univ, Sch Math & Comp Sci, Guiyang 550001, Peoples R ChinaNorth China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China
Li, Lei
Sun, Ping
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Guizhou Normal Univ, Sch Math & Comp Sci, Guiyang 550001, Peoples R ChinaNorth China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China
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North China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R ChinaNorth China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China
Luo, Zhendong
Gao, Junqiang
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North China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R ChinaNorth China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China
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N China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R ChinaN China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China
Luo, Zhendong
Li, Hong
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Inner Mongolia Univ, Sch Math Sci, Hohhot 010021, Peoples R ChinaN China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China
Li, Hong
Shang, Yueqiang
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Guizhou Normal Univ, Sch Math & Comp Sci, Guiyang 550001, Peoples R ChinaN China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China
Shang, Yueqiang
Fang, Zhichao
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Inner Mongolia Univ, Sch Math Sci, Hohhot 010021, Peoples R ChinaN China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China
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INRIA Sophia Antipolis Mediterranee Res Ctr, Project Team, F-06902 Sophia Antipolis, FranceINRIA Sophia Antipolis Mediterranee Res Ctr, Project Team, F-06902 Sophia Antipolis, France
Lanteri, Stephane
Scheid, Claire
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INRIA Sophia Antipolis Mediterranee Res Ctr, Project Team, F-06902 Sophia Antipolis, France
CNRS, JA Dieudonn Math Lab, UMR 6621, F-06108 Nice 02, FranceINRIA Sophia Antipolis Mediterranee Res Ctr, Project Team, F-06902 Sophia Antipolis, France