A reduced-order discontinuous Galerkin method based on a Krylov subspace technique in nanophotonics

Kun Li, Ting-Zhu Huang, Liang Li and Stéphane Lanteri

Applied Mathematics and Computation, 2019, vol. 358, issue C, 128-145

Abstract: This paper is concerned with the design of a reduced-order model (ROM) based on a Krylov subspace technique for solving the 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 semi-discrete DG scheme is formulated on an unstructured simplicial mesh, and is combined with a centered scheme for the definition of the numerical fluxes of the electric and magnetic fields on element interfaces. The ROM is established by projecting (Galerkin projection) the global semi-discrete DG scheme onto a low-dimensional Krylov subspace generated by an Arnoldi process. A low-storage Runge-Kutta (LSRK) time scheme is employed in the semi-discrete DG system and ROM. The overall goal is to reduce the computational time while maintaining an acceptable level of accuracy. We present numerical results on 2-D problems to show the effectiveness of the proposed method.

Keywords: Discontinuous Galerkin method; Reduced-order model; Krylov subspace technique; Arnoldi process; Nanophotonics (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:358:y:2019:i:c:p:128-145

DOI: 10.1016/j.amc.2019.04.031

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